226 citations as recorded by crossref.

1. TEC anomalies assessment for earthquakes precursors in North-Eastern India and adjoining region using GPS data acquired during 2012–2018 G. Sharma et al. https://doi.org/10.1016/j.quaint.2020.07.009
2. Response of low latitude ionosphere to the geomagnetic storm of May 30 P. Galav et al. https://doi.org/10.1007/s10509-011-0869-5
3. A regional ionospheric TEC mapping technique over China and adjacent areas: GNSS data processing and DINEOF analysis A. Ercha et al. https://doi.org/10.1007/s11432-015-5399-2
4. Statistical analysis of TEC anomalies as earthquake precursors using GPS data for the case study of Assam, India T. Chetia et al. https://doi.org/10.1016/j.asr.2024.12.028
5. TEC and Instrumental Bias Estimation of GAGAN Station Using Kalman Filter and SCORE Algorithm D. Sunehra https://doi.org/10.4236/pos.2016.71004
6. Characterization of low latitude GPS-TEC during very low solar activity phase P. Galav et al. https://doi.org/10.1016/j.jastp.2010.09.017
7. Response of low-latitude ionospheric total electron content to the geomagnetic storm of 24 August 2005 S. Sharma et al. https://doi.org/10.1029/2010JA016368
8. Comparison of GPS TEC measurements with IRI TEC prediction at the equatorial latitude station, Chumphon, Thailand P. Kenpankho et al. https://doi.org/10.5047/eps.2011.01.010
9. Advantage of IRNSS S-band signal for GBAS applications in adverse ionospheric storm conditions S. Ammana et al. https://doi.org/10.1007/s42401-022-00158-6
10. Improved Time-Step Method for Bounding Nominal Spatial and Temporal Ionospheric Gradients for Ground-Based Augmentation Systems in Hong Kong W. Li & Y. Jiang https://doi.org/10.33012/navi.642
11. PROBING FINE-SCALE IONOSPHERIC STRUCTURE WITH THE VERY LARGE ARRAY RADIO TELESCOPE A. Cohen & H. Röttgering https://doi.org/10.1088/0004-6256/138/2/439
12. Analysis of Ionospheric TEC and DCB Using GPS/Galileo Observations from a Moving Navy Training Ship B. Choi et al. https://doi.org/10.3390/atmos17040423
13. Demarcation of solar cycle 24 and characterization of ionospheric GPS-TEC towards the western part of India R. Dumka et al. https://doi.org/10.1016/j.quaint.2020.04.051
14. Iranian Permanent GPS Network Receivers Differential Code Biases Determination using Single Difference Observation Geometry Changes P. Nematipour et al. https://doi.org/10.29252/jgit.6.1.45
15. Near real-time modeling of global ionospheric vertical total electron content using hourly IGS data Z. WANG et al. https://doi.org/10.1016/j.cja.2020.07.023
16. An adaptive Butterworth spectral-based graph neural network for detecting ionospheric total electron content precursor prior to the Wenchuan earthquake on 12 May 2008 J. Lin https://doi.org/10.1080/10106049.2022.2087752
17. Distributed processing of a GPS receiver network for a regional ionosphere map K. Choi et al. https://doi.org/10.1088/1361-6501/aa89cc
18. Satellite‐based augmentation systems: A novel and cost‐effective tool for ionospheric and space weather studies S. Sunda et al. https://doi.org/10.1002/2014SW001103
19. A super bubble detected by dense GPS network at east Asian longitudes G. Ma & T. Maruyama https://doi.org/10.1029/2006GL027512
20. On the Co‐Seismic Ionospheric Disturbances (CIDs) in the Rapid Run Ionosonde Observations Over Allahabad Following Mw 7.8 Nepal Earthquake on April 25, 2015 S. Sripathi et al. https://doi.org/10.1029/2019JA027001
21. Single station bias calculation using data from calibrated GNSS station for various baseline distances M. Shaikh https://doi.org/10.1186/s40645-022-00533-z
22. Estimation of differential code biases for Beidou navigation system using multi-GNSS observations: How stable are the differential satellite and receiver code biases? J. Xue et al. https://doi.org/10.1007/s00190-015-0874-5
23. Characterization of African Equatorial Ionization Anomaly During the Maximum Phase of Solar Cycle 24 O. Oyedokun et al. https://doi.org/10.1029/2019JA027066
24. Evaluation of the Klobuchar model in TaiWan J. Li et al. https://doi.org/10.1016/j.asr.2017.05.045
25. GBAS ionospheric threat model assessment for category I operation in the Korean region M. Kim et al. https://doi.org/10.1007/s10291-014-0404-6
26. Analysis of Plasma Bubble Signatures in Total Electron Content Maps of the Low-Latitude Ionosphere: A Simplified Methodology C. Oliveira et al. https://doi.org/10.1007/s10712-020-09584-7
27. Longitudinal difference in total electron content over the East Asian region: Feature and explanation S. Yu et al. https://doi.org/10.1016/j.jastp.2016.08.015
28. Construction of nominal ionospheric gradient using satellite pair based on GNSS CORS observation in Indonesia S. Supriadi et al. https://doi.org/10.1186/s40623-022-01633-2
29. Relationship between GIX, SIDX, and ROTI ionospheric indices and GNSS precise positioning results under geomagnetic storms G. Nykiel et al. https://doi.org/10.1007/s10291-023-01611-5
30. Statistical Behavior of Electron Density in the Ionosphere before 2016 Manipur Earthquake from GPS Observation Stations at North East India G. Sharma et al. https://doi.org/10.1134/S0016852121040130
31. The response of African equatorial GPS-TEC to intense geomagnetic storms during the ascending phase of solar cycle 24 A. Akala et al. https://doi.org/10.1016/j.jastp.2013.02.006
32. Improvement of Global Ionospheric TEC Derivation with Multi-Source Data in Modip Latitude W. Fu et al. https://doi.org/10.3390/atmos12040434
33. Seasonal variation of quiet-time TEC over West and Central African equatorial/low-latitude ionosphere (2011–2014) A. Akala et al. https://doi.org/10.1007/s11600-021-00679-2
34. Longitudinal study of the ionospheric response to the geomagnetic storm of 15 May 2005 and manifestation of TADs S. Sharma et al. https://doi.org/10.5194/angeo-29-1063-2011
35. GPS satellite and receiver instrumental biases estimation using SVD algorithm A. Sarma et al. https://doi.org/10.1109/TAES.2008.4667731
36. Estimation of Temporal Variability of Differential Instrumental Biases of NavIC Satellites and Receiver Using Kalman Filter S. Bhardwaj et al. https://doi.org/10.1029/2019RS006886
37. Temporary decrease in daytime F‐region peak electron density due to eastward electric field penetration during magnetic storm H. Jin & T. Maruyama https://doi.org/10.1029/2006JA011928
38. Influences of the day‐night differences of ionospheric variability on the estimation of GPS differential code bias L. Li et al. https://doi.org/10.1002/2014RS005565
39. Correlation between Ionospheric Spatial Decorrelation and Space Weather Intensity for Safety-Critical Differential GNSS Systems J. Lee & J. Lee https://doi.org/10.3390/s19092127
40. NeQuick2 validation using multi-satellite and ground data M. Shaikh https://doi.org/10.1016/j.asr.2022.11.004
41. Solar Origins of August 26, 2018 Geomagnetic Storm: Responses of the Interplanetary Medium and Equatorial/Low‐Latitude Ionosphere to the Storm A. Akala et al. https://doi.org/10.1029/2021SW002734
42. ROTI Keograms based on CMONOC to characterize the ionospheric irregularities in 2014 J. Li et al. https://doi.org/10.1186/s40623-022-01708-0
43. A new expression for computing the bottomside thickness parameter and comparisons with the NeQuick and IRI-2012 models during declining phase of solar cycle 23 at equatorial latitude station, Chumphon, Thailand P. Jamjareegulgarn et al. https://doi.org/10.1016/j.asr.2016.11.003
44. A new algorithm for single receiver DCB estimation using IGS TEC maps M. Keshin https://doi.org/10.1007/s10291-011-0230-z
45. Mitigation of receiver biases in ionospheric observables from PPP with ambiguity resolution P. de Oliveira et al. https://doi.org/10.1016/j.asr.2020.01.037
46. Modified solar flux index for upper atmospheric applications T. Maruyama https://doi.org/10.1029/2010JA016322
47. Ionospheric Response to the 2018 Sudden Stratospheric Warming Event at Middle‐ and Low‐Latitude Stations Over China Sector G. Liu et al. https://doi.org/10.1029/2019SW002160
48. Extreme Low‐Latitude Total Electron Content Enhancement and Global Positioning System Scintillation at Dawn S. Mrak et al. https://doi.org/10.1029/2021SW002740
49. DCB estimation and analysis using the single receiver GPS/GLONASS observations under various seasons and geomagnetic activities A. Wageeh et al. https://doi.org/10.1016/j.asr.2023.07.063
50. Impact of receiver inter-frequency bias residual uncertainty on dual-frequency GBAS integrity K. KANG et al. https://doi.org/10.1016/j.cja.2022.01.006
51. Assessment of BeiDou differential code bias variations from multi-GNSS network observations S. Jin et al. https://doi.org/10.5194/angeo-34-259-2016
52. Sequential evolution of ionospheric TEC anomalies and acoustic-gravity wave precursors associated with the February 8, 2025, Mw 7.6 Cayman Islands earthquake K. Nayak et al. https://doi.org/10.1016/j.jastp.2025.106582
53. Demonstration of a Space Capable Miniature Dual Frequency GNSS Receiver E. Glenn Lightsey et al. https://doi.org/10.1002/navi.52
54. Topside ionospheric irregularities as seen from multisatellite observations I. Zakharenkova & E. Astafyeva https://doi.org/10.1002/2014JA020330
55. Validation of Ionospheric Spatial Decorrelation Observed During Equatorial Plasma Bubble Events M. Yoon et al. https://doi.org/10.1109/TGRS.2016.2604861
56. Observation of the fast-traveling ionospheric disturbances induced by the 2017 North Korean missile B. Choi & J. Hong https://doi.org/10.1016/j.asr.2018.12.033
57. Ionospheric disturbances around the time of the Ms7.0 Lushan earthquake Z. Yiyan et al. https://doi.org/10.3724/SP.J.1246.2013.04026
58. The influence of grounding on GPS receiver differential code biases B. Choi & S. Lee https://doi.org/10.1016/j.asr.2018.04.033
59. Determining receiver biases in GPS-derived total electron content in the auroral oval and polar cap region using ionosonde measurements D. Themens et al. https://doi.org/10.1007/s10291-012-0284-6
60. On the optimal height of ionospheric shell for single-site TEC estimation J. Zhao & C. Zhou https://doi.org/10.1007/s10291-018-0715-0
61. Receiver DCB estimation and GPS vTEC study at a low latitude station in the South Pacific R. Prasad et al. https://doi.org/10.1016/j.jastp.2016.10.004
62. Performance analysis of NeQuick2 and IRI-Plas models during quiet geomagnetic and low solar activity conditions at Thanjavur equatorial location: Preliminary results V. Maheswaran et al. https://doi.org/10.1007/s12036-023-09992-2
63. Evaluation of LEO based GPS slant TEC using a simulation technique J. Lin & F. Zhu https://doi.org/10.1007/s10509-018-3451-6
64. On using a double-thin-shell approach and TEC perturbation component to sound night-time mid-latitude E–F coupling W. Fu et al. https://doi.org/10.1186/s40623-022-01639-w
65. Statistical Analysis of Separation Distance Between Equatorial Plasma Bubbles Near Suvarnabhumi International Airport, Thailand A. Bumrungkit et al. https://doi.org/10.1029/2018JA025612
66. Long Short‐Term Memory Neural Network for Ionospheric Total Electron Content Forecasting Over China P. Xiong et al. https://doi.org/10.1029/2020SW002706
67. Double-thin-shell approach to deriving total electron content from GNSS signals and implications for ionospheric dynamics near the magnetic equator T. Maruyama et al. https://doi.org/10.1186/s40623-021-01427-y
68. Unbiased total electron content (UTEC), their fluctuations, and correlation with seismic activity over Japan P. Cornely & J. Hughes https://doi.org/10.1007/s11600-017-0105-y
69. The influence of ionospheric thin shell height on TEC retrieval from GPS observation X. Wang et al. https://doi.org/10.1088/1674-4527/16/7/116
70. An improved method for single-station receiver DCB estimation based on a binary search algorithm Q. Wang & Z. Liu https://doi.org/10.1088/2631-8695/ae591c
71. Longitude dependent response of the GPS derived ionospheric ROTI to geomagnetic storms H. Tanna & K. Pathak https://doi.org/10.1007/s10509-014-1938-3
72. Features of High-Latitude Ionospheric Irregularities Development as Revealed by Ground-Based GPS Observations, Satellite-Borne GPS Observations and Satellite In Situ Measurements over the Territory of Russia during the Geomagnetic Storm on March 17–18, 2015 I. Zakharenkova et al. https://doi.org/10.1134/S0016793217050176
73. Longitudinal variations in equatorial electrojet and its influence on equatorial ionization anomaly characteristics during geomagnetic calm time (2011–2013) A. Cherkos & M. Nigussie https://doi.org/10.1007/s12040-024-02383-3
74. Multi-Parametric Approach for Earthquake Precursor Detection in Assam Valley (Eastern Himalaya, India) using Satellite and Ground Observation Data T. Chetia et al. https://doi.org/10.1134/S0016852120010045
75. A 4D tomographic ionospheric model to support PPP-RTK G. Olivares-Pulido et al. https://doi.org/10.1007/s00190-019-01276-4
76. Ionospheric TEC and ROT Analysis with Signal Combinations of QZSS Satellites in the Korean Peninsula B. Choi et al. https://doi.org/10.3390/rs17111945
77. Effect of prompt penetration electric field on ionospheric EEJ variations and TEC depletion over the Peruvian and Brazilian region during the Mother’s day storm on May 10–12, 2024 A. Cherkos https://doi.org/10.1016/j.asr.2025.09.093
78. GPS-Based Radio Tomography With Edge-Preserving Regularization J. Lee & F. Kamalabadi https://doi.org/10.1109/TGRS.2008.2001637
79. Determination of zero difference GPS differential code biases for satellites and prominent receiver types A. Sedeek et al. https://doi.org/10.1007/s12517-017-2835-1
80. Enhanced Polar Outflow Probe Ionospheric Radio Occultation Measurements at High Latitudes: Receiver Bias Estimation and Comparison With Ground‐Based Observations C. Watson et al. https://doi.org/10.1002/2017RS006453
81. Vertical TEC variations and model during low solar activity at a low latitude station, Xiamen G. Liu et al. https://doi.org/10.1016/j.asr.2011.10.024
82. Study of the equatorial ionosphere using the Giant Metrewave Radio Telescope (GMRT) at sub-GHz frequencies S. Mangla & A. Datta https://doi.org/10.1093/mnras/stac942
83. Performance analysis of quiet and disturbed time ionospheric TEC responses from GPS-based observations, IGS-GIM, IRI-2016 and SPIM/IRI-Plas 2017 models over the low latitude Indian region K. Reddybattula & S. Panda https://doi.org/10.1016/j.asr.2019.03.034
84. A method of estimating GPS instrumental biases with a convolution algorithm Q. Li et al. https://doi.org/10.1016/j.asr.2017.11.034
85. A comprehensive assessment of ionospheric gradients observed in Ecuador during 2013 and 2014 for ground based augmentation systems S. Sánchez-Naranjo et al. https://doi.org/10.1016/j.asr.2017.02.001
86. Southern Hemisphere ionosphere and plasmasphere response to the interplanetary shock event of 29–31 October 2003 E. Yizengaw et al. https://doi.org/10.1029/2004JA010920
87. Tsunami detection by GPS-derived ionospheric total electron content M. Shrivastava et al. https://doi.org/10.1038/s41598-021-92479-3
88. Modeling and prediction of the ionosphere with deep learning: a review Y. Liu et al. https://doi.org/10.20517/ir.2026.04
89. Determination of GPS receiver differential biases by neural network parameter estimation method X. Ma et al. https://doi.org/10.1029/2004RS003072
90. Spatio-temporal characteristics of ionospheric irregularities in low latitude regions during the peak of solar cycle 25 N. Tongkasem et al. https://doi.org/10.1016/j.asr.2025.04.062
91. Variations in the total electron content near the crest of the equatorial ionization anomaly during the November 2004 geomagnetic storm N. Dashora & R. Pandey https://doi.org/10.1186/BF03352685
92. Manifestation of earthquake preparation zone in the ionosphere before 2021 Sonitpur, Assam earthquake revealed by GPS-TEC data G. Sharma https://doi.org/10.1016/j.geog.2021.09.010
93. A severe negative response of the ionosphere to the intense geomagnetic storm on March 17, 2015 observed at mid- and low-latitude stations in the China zone G. Liu & H. Shen https://doi.org/10.1016/j.asr.2017.02.021
94. A distributed method to estimate RDCB and SDCB using a GPS receiver network K. Choi et al. https://doi.org/10.1088/1361-6501/ab25c3
95. A Simple Approach to Determine Single-Receiver Differential Code Bias Using Precise Point Positioning F. Zhang et al. https://doi.org/10.3390/s23198230
96. New Swarm products NeGIX and TEGIX for monitoring horizontal ionospheric gradients J. Cahuasquí et al. https://doi.org/10.1051/swsc/2025040
97. Using IGS-TEC data to analyze the variation of EIA crest over South China Region L. Huang et al. https://doi.org/10.11728/cjss2015.02.152
98. Study on the relationship between Global Positioning System Total Electron Content Anomalies and Earthquake Events in Thailand during Solar Cycle 24 C. Pansong & P. Kenpankho https://doi.org/10.15446/esrj.v29n3.117195
99. Local Monitoring of TEC Using GNSS Services over Romania C. F.I. et al. https://doi.org/10.59277/RomJPhys.2024.69.805
100. Multi-GNSS triple-frequency differential code bias (DCB) determination with precise point positioning (PPP) T. Liu et al. https://doi.org/10.1007/s00190-018-1194-3
101. Analyzing the spatial variation characteristics of grid TEC using long-term GIM data Q. Wang & J. Zhu https://doi.org/10.1016/j.asr.2024.04.052
102. Influence of Ionospheric Variability in Solar Maximum and Solar Minimum Period on the Stability of Estimated GPS Instrumental Biases Y. JIN et al. https://doi.org/10.11728/cjss2013.04.427
103. Comparison of GPS-TEC measurements with NeQuick2 and IRI model predictions in the low latitude East African region during varying solar activity period (1998 and 2008–2015) E. Mengistu et al. https://doi.org/10.1016/j.asr.2018.01.009
104. Equatorial Plasma Bubble Threat Parameterization to Support GBAS Operations in the Brazilian Region M. Yoon et al. https://doi.org/10.1002/navi.203
105. Assessment of Ionospheric Gradient Impacts on Ground-Based Augmentation System (GBAS) Data in Guangdong Province, China Z. Wang et al. https://doi.org/10.3390/s17102313
106. Evaluation of ionospheric height assumption for single station GPS-TEC derivation W. Lu et al. https://doi.org/10.1016/j.asr.2017.01.019
107. Determinations of ionosphere and plasmasphere electron content for an African chain of GPS stations A. Mazzella Jr. et al. https://doi.org/10.5194/angeo-35-599-2017
108. A regional classification of time spectral amplitudes in total electron content: Southeastern United States during solar cycle 24 B. Burkholder et al. https://doi.org/10.3389/fspas.2022.1040082
109. The performance of IRI-2016 in the African sector of equatorial ionosphere for different geomagnetic conditions and time scales E. Mengistu et al. https://doi.org/10.1016/j.jastp.2019.02.006
110. Assessment of Positioning Accuracy based on Medium- and Long-range GPS L1 Relative Positioning using Regional Ionospheric Grid Model E. Son et al. https://doi.org/10.7848/ksgpc.2012.30.5.459
111. Performance evaluation of GNSS-TEC estimation techniques at the grid point in middle and low latitudes during different geomagnetic conditions O. Abe et al. https://doi.org/10.1007/s00190-016-0972-z
112. Conditions for intense ionospheric storms expanding to lower midlatitudes T. Maruyama & M. Nakamura https://doi.org/10.1029/2006JA012226
113. A Two-Step Estimation of GPS Differential Code Biases and Local Ionospheric TEC Based on Orthogonal Transformation D. Wijaya et al. https://doi.org/10.1109/TGRS.2023.3298574
114. Performance of different weighting and surface fitting techniques on station-wise TEC calculation and modified sine weighting supported by the sun effect E. Şentürk & M. Çepni https://doi.org/10.1080/14498596.2017.1417169
115. Variability of Vertical Total Electron Content Gradients in the Brazilian Sector T. Espejo et al. https://doi.org/10.1109/TAES.2022.3218520
116. Interaction between nighttime MSTID and mid-latitude field-aligned plasma depletion structure over the transition region of geomagnetic low-mid latitude: First results from Hanle, India V. Yadav et al. https://doi.org/10.1016/j.jastp.2021.105589
117. Assessing the performance of a Northeast Asia Japan-centered 3-D ionosphere specification technique during the 2015 St. Patrick’s day geomagnetic storm N. Ssessanga et al. https://doi.org/10.1186/s40623-021-01447-8
118. Prompt derivation of TEC from GEONET data for space weather monitoring in Japan W. Miyake https://doi.org/10.1016/j.jastp.2007.02.006
119. Quiet-Solar-Low (QSL) GNSS-based VTEC climatology over Oukaïmeden (Morocco) across the solar cycle 24–25 transition M. Kaab et al. https://doi.org/10.1016/j.asr.2026.05.034
120. Global navigation satellite system detection of preseismic ionospheric total electron content anomalies for strong magnitude (Mw>6) Himalayan earthquakes G. Sharma et al. https://doi.org/10.1117/1.JRS.11.046018
121. Regional Assimilation of GPS-Derived TEC into GIMs H. Mahbuby & Y. Amerian https://doi.org/10.1007/s00024-021-02681-7
122. Space weather impacts on the ionosphere over the southern African mid-latitude region T. Matamba et al. https://doi.org/10.1186/s40623-023-01894-5
123. Comparison of GPS receiver DCB estimation methods using a GPS network B. Choi et al. https://doi.org/10.5047/eps.2012.10.003
124. Latitudinal GRBR‐TEC estimation in Southeast Asia region based on the two‐station method K. Watthanasangmechai et al. https://doi.org/10.1002/2013RS005347
125. Study of ionospheric TEC during space weather event of 24 August 2005 at two different longitudes S. Sharma et al. https://doi.org/10.1016/j.jastp.2011.05.006
126. Determination of NavIC differential code biases using GPS and NavIC observations K. Siva Krishna & D. Ratnam https://doi.org/10.1016/j.geog.2020.01.001
127. Performance improvement of the GAGAN satellite-based augmentation system based on local ionospheric delay estimation in Thailand S. Sophan et al. https://doi.org/10.1007/s10291-022-01293-5
128. Low Ionosphere Density Above the Earthquake Epicentre Region of Mw 7.2, El Mayor–Cucapah Earthquake Evident from Dense CORS Data G. Sharma et al. https://doi.org/10.1007/s12524-024-01837-x
129. Monitoring and Mitigation of Ionospheric Anomalies for GNSS-Based Safety Critical Systems: A review of up-to-date signal processing techniques J. Lee et al. https://doi.org/10.1109/MSP.2017.2716406
130. Probing the ionosphere by the pulsar B0950+08 with help of RadioAstron ground-space baselines V. Zhuravlev et al. https://doi.org/10.1093/mnras/stz3370
131. Long-term Variation of Differential Code Biases of Ionospheric TEC Monitor Based on Hardward Signal Simulator Y. LIU et al. https://doi.org/10.11728/cjss2021.03.499
132. An LS-MARS method for modeling regional 3D ionospheric electron density based on GPS data and IRI S. Kao et al. https://doi.org/10.1016/j.asr.2015.02.006
133. 2-D ionosphere TEC anomaly before January 28, 2020, Cuba earthquake observed from a network of GPS observations data G. Sharma et al. https://doi.org/10.1007/s12517-022-10605-5
134. Undersampled Ionospheric Irregularity Threat Parameterization Using a Three-Dimensional Model for Satellite-Based Augmentation Systems E. Bang & J. Lee https://doi.org/10.1109/TAES.2022.3199192
135. Inferring the Ionospheric State With the Far Ultraviolet Imager on the Fengyun‐4C Geostationary Satellite: Retrieval Algorithm and Verification J. Qin et al. https://doi.org/10.1029/2023EA003222
136. M_DCB: Matlab code for estimating GNSS satellite and receiver differential code biases R. Jin et al. https://doi.org/10.1007/s10291-012-0279-3
137. Estimation and analysis of GPS receiver differential code biases using KGN in Korean Peninsula B. Choi et al. https://doi.org/10.1016/j.asr.2010.12.021
138. Features of Using Survey Receivers for Real-time Ionosphere Monitoring P. Budnikov & V. Alpatov https://doi.org/10.3103/S1068373921040026
139. Evaluation of the dusk and early nighttime Total Electron Content modeling over the eastern Brazilian region during a solar maximum period A. Silva et al. https://doi.org/10.1016/j.asr.2020.12.015
140. Ionospheric disturbances as precursor signals of the March 28, 2025, Myanmar earthquake C. Pansong et al. https://doi.org/10.1016/j.asr.2026.01.070
141. GPS receiver code bias estimation: A comparison of two methods A. McCaffrey et al. https://doi.org/10.1016/j.asr.2017.01.047
142. Simultaneous evaluation of solar activity proxies during geomagnetic storms using principal component analysis: Case study of the African low and mid-latitude regions J. Uwamahoro et al. https://doi.org/10.1016/j.jastp.2025.106477
143. Detection and modelling of the ionospheric perturbation caused by a Space Shuttle launch using a network of ground-based Global Positioning System stations T. Bowling et al. https://doi.org/10.1093/gji/ggs101
144. Seasonal variability of GPS-VTEC and model during low solar activity period (2006–2007) near the equatorial ionization anomaly crest location in Chinese zone G. Liu et al. https://doi.org/10.1016/j.asr.2012.09.002
145. GPS and GLONASS observations of large‐scale traveling ionospheric disturbances during the 2015 St. Patrick's Day storm I. Zakharenkova et al. https://doi.org/10.1002/2016JA023332
146. Equatorial Ionization Anomaly crest magnitude and its implications on the nocturnal equatorial ionospheric plasma irregularity characteristics R. Aswathy & G. Manju https://doi.org/10.1016/j.asr.2021.07.019
147. Analysis of the north–south asymmetry of the equatorial ionization anomaly around 110°E longitude L. Huang et al. https://doi.org/10.1016/j.jastp.2013.06.010
148. Kalman filter based estimation of differential hardware biases with triangular interpolation technique for IRNSS M. Maheshwari et al. https://doi.org/10.1016/j.asr.2018.09.031
149. Improving the performance of time varying spherical radial basis functions in regional VTEC modeling with sparse data H. Mahbuby & Y. Amerian https://doi.org/10.1016/j.asr.2022.04.067
150. Comparison of equatorial GPS-TEC observations over an African station and an American station during the minimum and ascending phases of solar cycle 24 A. Akala et al. https://doi.org/10.5194/angeo-31-2085-2013
151. Signature of TEC storm on 6 November 2001 derived from dense GPS receiver network and ionosonde chain over Japan T. Maruyama et al. https://doi.org/10.1029/2004JA010451
152. TEC derived from local GPS network in Pakistan and comparison with IRI-2016 and IRI-PLAS 2017 M. Mehmood et al. https://doi.org/10.1007/s11600-021-00538-0
153. Nighttime Midlatitude E‐F Coupling in Geomagnetic Conjugate Ionospheres: A Double Thin Shell Model and a Multi‐Source Data Investigation W. Fu et al. https://doi.org/10.1029/2022JA031074
154. GNSS-Based Non-Negative Absolute Ionosphere Total Electron Content, its Spatial Gradients, Time Derivatives and Differential Code Biases: Bounded-Variable Least-Squares and Taylor Series Y. Yasyukevich et al. https://doi.org/10.3390/s20195702
155. Error Characteristics of GNSS Derived TEC G. Ma et al. https://doi.org/10.3390/atmos13020237
156. A Quasi-real-time On-chip Ionospheric TEC Kalman Filtering Algorithm J. LI et al. https://doi.org/10.11728/cjss2025.05.2024-0108
157. Estimation of GPS instrumental biases from small scale network G. Ma et al. https://doi.org/10.1016/j.asr.2013.01.008
158. Low-latitude TEC variability studied from magnetically conjugate locations along 73°E longitude S. Rao et al. https://doi.org/10.1016/j.jastp.2013.08.007
159. Analysis of ionospheric and geomagnetic fields changes in Thailand during the May 2024 geomagnetic storm L. Myint et al. https://doi.org/10.1016/j.asr.2025.01.071
160. The estimation of receiver code bias for MyRTKnet stations S. Khamdan et al. https://doi.org/10.1088/1755-1315/169/1/012029
161. Analysis of differential code biases for GPS receivers over the Indian region K. Sivakrishna & D. Venkata Ratnam https://doi.org/10.1515/jag-2023-0047
162. Estimation and Validation of Vertical Total Electron Content Using Standalone Single-Frequency Observations N. Tongkasem et al. https://doi.org/10.1109/ACCESS.2022.3208102
163. High‐precision measurements of ionospheric TEC gradients with the Very Large Array VHF system J. Helmboldt et al. https://doi.org/10.1029/2011RS004883
164. Storm‐induced plasma stream in the low‐latitude to midlatitude ionosphere T. Maruyama et al. https://doi.org/10.1002/jgra.50541
165. Estimation and analysis of GNSS receiver differential code bias in Southeast Asia using a new method Q. Wang et al. https://doi.org/10.1088/1755-1315/799/1/012023
166. Comparison of observed TEC values with IRI-2007 TEC and IRI-2007 TEC with optional foF2 measurements predictions at an equatorial region, Chumphon, Thailand P. Kenpankho et al. https://doi.org/10.1016/j.asr.2013.08.012
167. Comparison of GPS-TEC observations over Addis Ababa with IRI-2012 model predictions during 2010–2013 A. Akala et al. https://doi.org/10.1016/j.asr.2015.07.017
168. Modeling of Ionospheric Response to Geomagnetic Storms over the East African Low Latitude Region Using Artificial Neural Networks V. Agaba et al. https://doi.org/10.4236/acs.2025.154045
169. Multi-Parametric Geophysical Observatory for Earthquake Precursory Research in Assam Valley, Eastern Himalaya (India): Seismotectonic Features of Kopili and Bomdila Faults T. Chetia & S. Baruah https://doi.org/10.1134/S001685212202008X
170. Derivation of TEC and GPS hardware delay based on dual-frequency GPS observations X. Wang & G. Ma https://doi.org/10.11728/cjss2014.02.168
171. Tomographic reconstruction of ionospheric electron density during the storm of 5-6 August 2011 using multi-source data J. Tang et al. https://doi.org/10.1038/srep13042
172. Improving performance of GPS satellite DCB estimation for regional GPS networks using long-term stability D. Han et al. https://doi.org/10.1007/s10291-017-0669-7
173. The nature of GPS differential receiver bias variability: An examination in the polar cap region D. Themens et al. https://doi.org/10.1002/2015JA021639
174. Analysis of the short-term temporal variation of differential code bias in GNSS receiver A. Liu et al. https://doi.org/10.1016/j.measurement.2019.107448
175. Regional reference total electron content model over Japan based on neural network mapping techniques T. Maruyama https://doi.org/10.5194/angeo-25-2609-2007
176. A study on the variability of ionospheric total electron content over the East African low‐latitude region and storm time ionospheric variations O. Olwendo et al. https://doi.org/10.1002/2015RS005785
177. A Review of Voxel-Based Computerized Ionospheric Tomography with GNSS Ground Receivers W. Lu et al. https://doi.org/10.3390/rs13173432
178. Evaluation of Seismo-Ionospheric and Seismological Parameters Within the Lithosphere–Atmosphere–Ionosphere Coupling Framework for the 2025 Mw 7.7 Myanmar Earthquake R. Colonna et al. https://doi.org/10.3390/rs18071016
179. Receiver Differential Code Bias Estimation under Disturbed Ionosphere Status Using Linear Planar Model Based Minimum Standard Deviation Searching Method with Bias Detection Y. ZHANG et al. https://doi.org/10.1587/transcom.2019EBP3092
180. Real-time GPS receiver bias estimation P. Kenpankho et al. https://doi.org/10.1016/j.asr.2021.01.032
181. Three‐dimensional ionospheric tomography using observation data of GPS ground receivers and ionosonde by neural network X. Ma et al. https://doi.org/10.1029/2004JA010797
182. A new ionospheric tomography model combining pixel-based and function-based models Y. Yao et al. https://doi.org/10.1016/j.asr.2013.05.003
183. Obtaining Ionospheric Conditions according to Data of Navigation Satellites O. Maltseva & N. Mozhaeva https://doi.org/10.1155/2015/804791
184. Analysis of factors affecting the estimation of the multi-GNSS satellite differential code biases (SDCBs) Y. Wang et al. https://doi.org/10.1016/j.asr.2024.03.041
185. Improvement of global ionospheric VTEC maps using the IRI 2012 ionospheric empirical model C. Wang et al. https://doi.org/10.1016/j.jastp.2016.05.014
186. Estimating and assessing Galileo navigation system satellite and receiver differential code biases using the ionospheric parameter and differential code bias joint estimation approach with multi‐GNSS observations J. Xue et al. https://doi.org/10.1002/2015RS005797
187. Modeling of Ionospheric Time Delay Using Anisotropic IDW With Jackknife Technique V. Srinivas et al. https://doi.org/10.1109/TGRS.2015.2461017
188. Mitigation of magnetic noise originating from ionosphere using TEC data retrieved by GNSS for detection of magnetic anomaly signals T. Xia & C. Du https://doi.org/10.1049/el.2018.5619
189. Carrier-phase two-way satellite frequency transfer over a very long baseline M. Fujieda et al. https://doi.org/10.1088/0026-1394/51/3/253
190. Storm-time hourly morphologies of Equatorial Ionization Anomaly (EIA) crests along 110–125°E meridian during 2013 St Patrick’s Day geomagnetic storm A. Akala et al. https://doi.org/10.1016/j.asr.2025.11.068
191. Variation of ionospheric slab thickness observations at Chumphon equatorial magnetic location P. Kenpankho et al. https://doi.org/10.5047/eps.2011.03.003
192. High‐resolution station‐based diurnal ionospheric total electron content (TEC) from dual‐frequency GPS observations M. Çepni et al. https://doi.org/10.1002/swe.20093
193. Estimation of single station interfrequency receiver bias using GPS‐TEC F. Arikan et al. https://doi.org/10.1029/2007RS003785
194. Low latitude TEC disturbances during extreme geomagnetic storms: insights into March and May 2024 C. Pansong et al. https://doi.org/10.1016/j.asr.2025.03.071
195. Solar proxies pertaining to empirical ionospheric total electron content models T. Maruyama https://doi.org/10.1029/2009JA014890
196. Comparison of ionospheric characteristic parameters obtained by GPS and ionosonde with IRI model over China C. Wang https://doi.org/10.1007/s12040-016-0694-x
197. High-precision VTEC derivation with GEONET Q. Li et al. https://doi.org/10.1186/s40623-020-1137-0
198. The study of total electron content on ionosphere by using single frequency GPS receiver T. Keokhumcheng & P. Kenpankho https://doi.org/10.1016/j.asr.2024.08.019
199. Ionospheric TEC modelling for earthquakes precursors from GNSS data G. Sharma et al. https://doi.org/10.1016/j.quaint.2017.05.007
200. Regional ionospheric TEC modeling during geomagnetic storm in August 2021- data fusion using multi-instrument observations S. Emmela et al. https://doi.org/10.1016/j.asr.2023.06.054
201. Total solar eclipse of July 22, 2009: Its impact on the total electron content and ionospheric electron density in the Indian zone S. Sharma et al. https://doi.org/10.1016/j.jastp.2010.10.006
202. An Independent Estimation Method for GNSS Code Bias Based on Direct Processing Strategy of Single Station TEC Q. Wang et al. https://doi.org/10.1109/TGRS.2025.3648886
203. Extreme enhancement in total electron content after sunset on 8 November 2004 and its connection with storm enhanced density T. Maruyama https://doi.org/10.1029/2006GL027367
204. Total Electron Content Estimation with Reg‐Est H. Nayir et al. https://doi.org/10.1029/2007JA012459
205. The study on the relationship between ionospheric delay and low-cost localizing robots P. Sumniang et al. https://doi.org/10.1016/j.asr.2024.12.011
206. Solar activity variability in the IRI at high latitudes: Comparisons with GPS total electron content D. Themens & P. Jayachandran https://doi.org/10.1002/2016JA022664
207. NeQuick and IRI‐Plas model performance on topside electron content representation: Spaceborne GPS measurements I. Cherniak & I. Zakharenkova https://doi.org/10.1002/2015RS005905
208. How can GOCE and TerraSAR-X contribute to the topside ionosphere and plasmasphere research? I. Zakharenkova & I. Cherniak https://doi.org/10.1002/2015SW001162
209. Interhemispheric Asymmetry in Response of Low‐Latitude Ionosphere to Perturbation Electric Fields in the Main Phase of Geomagnetic Storms N. Dashora et al. https://doi.org/10.1029/2019JA026671
210. Study of solar flux dependency of the winter anomaly in GPS TEC S. Rao et al. https://doi.org/10.1007/s10291-018-0795-x
211. Real-Time Ionosphere Monitoring by Three-Dimensional Tomography over Japan S. Saito et al. https://doi.org/10.1002/navi.213
212. Characterization of the effective height of the ionosphere using GPS data over East Africa, a low latitude region P. Opio et al. https://doi.org/10.1016/j.asr.2023.02.035
213. Assessment of the accuracy of IRI-2016 model at the equatorial-, low-, mid-, and high-latitudes ionosphere along 30–45oE meridian lines during minimum (2009) and maximum (2013) phases of solar cycle 24 A. Akala et al. https://doi.org/10.1016/j.asr.2024.01.046
214. A study on the response of the Equatorial Ionization Anomaly over the East Africa sector during the geomagnetic storm of November 13, 2012 O. Joseph et al. https://doi.org/10.1016/j.asr.2015.03.011
215. First tomographic observations of the Midlatitude Summer Nighttime Anomaly over Japan S. Thampi et al. https://doi.org/10.1029/2009JA014439
216. Estimation and analysis of multi-GNSS differential code biases using a hardware signal simulator M. Ammar et al. https://doi.org/10.1007/s10291-018-0700-7
217. Longitudinal Responses of the Equatorial/Low‐Latitude Ionosphere Over the Oceanic Regions to Geomagnetic Storms of May and September 2017 A. Akala et al. https://doi.org/10.1029/2020JA027963
218. Ionospheric delay gradient monitoring for GBAS by GPS stations near Suvarnabhumi airport, Thailand S. Rungraengwajiake et al. https://doi.org/10.1002/2015RS005738
219. Estimation of GPS Differential Code Biases Based on Independent Reference Station and Recursive Filter L. Yuan et al. https://doi.org/10.3390/rs12060951
220. Anomalous ionospheric disturbances over South Korea prior to the 2011 Tohoku earthquake B. Choi & S. Lee https://doi.org/10.1016/j.asr.2015.10.025
221. Responses of the African-European equatorial-, low-, mid-, and high-latitude ionosphere to geomagnetic storms of 2013, 2015 St Patrick’s Days, 1 June 2013, and 7 October 2015 A. Akala et al. https://doi.org/10.1016/j.asr.2022.10.029
222. Comparison of IRI-2016 model with IGS VTEC maps during low and high solar activity period C. Shi et al. https://doi.org/10.1016/j.rinp.2018.12.022
223. Pre-Earthquake and Coseismic Ionosphere Disturbances of the Mw 6.6 Lushan Earthquake on 20 April 2013 Monitored by CMONOC K. Shi et al. https://doi.org/10.3390/atmos10040216
224. Combination of Ground- and Space-Based Data to Establish a Global Ionospheric Grid Model P. Chen et al. https://doi.org/10.1109/TGRS.2014.2333522
225. Analysis of Quiet Time Vertical Ionospheric Delay Gradients Around Suvarnabhumi Airport, Thailand J. Budtho et al. https://doi.org/10.1029/2018RS006606
226. Global Propagation of Ionospheric Disturbances Associated With the 2022 Tonga Volcanic Eruption D. Themens et al. https://doi.org/10.1029/2022GL098158