69 citations as recorded by crossref.

1. A neural network-based foF2 model for a single station in the polar cap R. Athieno et al. 10.1002/2016RS006192
2. Forecasting foF2 and MUF(3000)F2 ionospheric characteristics – A challenging space weather frontier L. Cander 10.1016/j.asr.2015.06.013
3. A new regional total electron content empirical model in northeast China J. Feng et al. 10.1016/j.asr.2016.06.001
4. Ionospheric VTEC and satellite DCB estimated from single-frequency BDS observations with multi-layer mapping function K. Su et al. 10.1007/s10291-021-01102-5
5. Global model of the F2 layer peak height for low solar activity based on GPS radio-occultation data V. Shubin et al. 10.1016/j.jastp.2013.08.024
6. Regiomontan: A Regional High Precision Ionosphere Delay Model and Its Application in Precise Point Positioning J. Boisits et al. 10.3390/s20102845
7. A new global version of M(3000)F2 prediction model based on artificial neural networks S. Oronsaye et al. 10.1016/j.asr.2013.11.023
8. A new climatological electron density model for supporting space weather services M. Hoque et al. 10.1051/swsc/2021044
9. Double crests of peak height in the equatorial ionospheric F2 layer observed by COSMIC X. Luan et al. 10.1002/2015JA021611
10. Comparison of IRI-2016 model-predictions of F2-layer peak density height options with the ionosonde-derived hmF2 at the equatorial station during different phases of solar cycle O. Oyekola 10.1016/j.asr.2019.04.022
11. Characterisation of Total Electron Content over African region using Radio Occultation observations of COSMIC satellites P. Mungufeni et al. 10.1016/j.asr.2019.08.009
12. A single-station empirical TEC model based on long-time recorded GPS data for estimating ionospheric delay Z. Zhao et al. 10.1051/swsc/2018047
13. A single‐station empirical model for TEC over the Antarctic Peninsula using GPS‐TEC data J. Feng et al. 10.1002/2016RS006171
14. A High Latitude Model for the E Layer Dominated Ionosphere S. Kamal et al. 10.3390/rs13183769
15. A New Empirical Model of NmF2 Based on CHAMP, GRACE, and COSMIC Radio Occultation Z. Liu et al. 10.3390/rs11111386
16. Comparison of the ionospheric F2 peak height between ionosonde measurements and IRI2016 predictions over China X. Zhao et al. 10.1016/j.asr.2017.06.056
17. Estimation of LEO-GPS receiver differential code bias based on inequality constrained least square and multi-layer mapping function L. Yuan et al. 10.1007/s10291-020-0970-8
18. Robust least square modelling for selected daytime ionospheric parameters using geomagnetic observations at low latitudes S. Bello et al. 10.1016/j.asr.2023.04.040
19. Validation of the Neustrelitz Global Model according to the low latitude ionosphere O. Maltseva et al. 10.1016/j.asr.2013.11.005
20. Three-dimensional data assimilation for ionospheric reference scenarios T. Gerzen et al. 10.5194/angeo-35-203-2017
21. An update global model of hmF2 from values estimated from ionosonde and COSMIC/FORMOSAT-3 radio occultation M. Zhang et al. 10.1016/j.asr.2013.11.053
22. Potential Predictability and Forecasting of the State of the Field of Anomalies of the Total Electron Concentration from Observational Data A. Gritsun 10.1134/S0016793218040072
23. Unusual nighttime impulsive foF2 enhancements at low latitudes: Phenomenology and possible explanations L. Perna et al. 10.1016/j.asr.2013.05.014
24. Global model SMF2 of the F2-layer maximum height V. Shubin et al. 10.1134/S001679321505014X
25. Using Bidirectional Long Short-Term Memory Method for the Height of F2 Peak Forecasting from Ionosonde Measurements in the Australian Region A. Hu & K. Zhang 10.3390/rs10101658
26. Predicting the Effects of Solar Storms on the Ionosphere Based on a Comparison of Real-Time Solar Wind Data with the Best-Fitting Historical Storm Event E. Schmölter & J. Berdermann 10.3390/atmos12121684
27. A new method to estimate GPS satellite and receiver differential code biases using a network of LEO satellites L. Yuan et al. 10.1007/s10291-021-01109-y
28. Ionosphere variability II: Advances in theory and modeling I. Tsagouri et al. 10.1016/j.asr.2023.07.056
29. Regional representation of F2 Chapman parameters based on electron density profiles M. Limberger et al. 10.5194/angeo-31-2215-2013
30. Ionospheric Responses to the June 2015 Geomagnetic Storm from Ground and LEO GNSS Observations C. Gao et al. 10.3390/rs12142200
31. Features of Using Survey Receivers for Real-time Ionosphere Monitoring P. Budnikov & V. Alpatov 10.3103/S1068373921040026
32. The influence of ionospheric thin shell height on TEC retrieval from GPS observation X. Wang et al. 10.1088/1674-4527/16/7/116
33. Assessment of the performance of the TOPGNSS and ANN-MB antennas for ionospheric measurements using low-cost u-blox GNSS receivers D. Okoh et al. 10.1016/j.geog.2023.11.002
34. Regional TEC model under quiet geomagnetic conditions and low-to-moderate solar activity based on CODE GIMs J. Feng et al. 10.1016/j.jastp.2017.05.013
35. Formation of Extreme Anomalies in the Total Electron Content According to Data from Linear Theory A. Gritsun 10.1134/S0016793221010059
36. Modelling M(3000)F2 at an African Equatorial Location for Better IRI‐Model Prediction B. Adebesin et al. 10.1029/2021RS007311
37. Advanced Machine Learning Optimized by The Genetic Algorithm in Ionospheric Models Using Long-Term Multi-Instrument Observations W. Li et al. 10.3390/rs12050866
38. Validating IRI-2016 for quiet-time F2-region peak electron density height (hmF2) at different latitudes during moderate solar activity J. Adeniyi et al. 10.1016/j.asr.2021.02.036
39. Variation of the Equatorial Height Anomaly During the Main Phase of 2015 St. Patrick's Day Geomagnetic Storm Using ANNIM and TIEGCM V. Sai Gowtam et al. 10.1029/2019JA026703
40. Variation of TEC and related parameters over the Indian EIA region from ground and space based GPS observations during the low solar activity period of May 2007–April 2008 S. Chakravarty et al. 10.1016/j.asr.2016.12.014
41. A new global TEC empirical model based on fusing multi-source data J. Feng et al. 10.1007/s10291-022-01355-8
42. Improving forecasting accuracy the F2-layer peak characteristics using artificial neural network K. Sidorenko et al. 10.1016/j.asr.2022.12.006
43. Correlation studies for B-spline modeled F2 Chapman parameters obtained from FORMOSAT-3/COSMIC data M. Limberger et al. 10.5194/angeo-32-1533-2014
44. Global equivalent slab thickness model of the Earth’s ionosphere N. Jakowski & M. Hoque 10.1051/swsc/2020083
45. Estimation and analysis of GPS satellite DCB based on LEO observations J. Lin et al. 10.1007/s10291-014-0433-1
46. Ionospheric tomography by gradient-enhanced kriging with STEC measurements and ionosonde characteristics D. Minkwitz et al. 10.5194/angeo-34-999-2016
47. A New Method for converting Slant Ionospheric Delays to Vertical for SBAS Ionospheric corrections B. Choi et al. 10.1051/e3sconf/20199403002
48. Modeling of HF propagation at high latitudes on the basis of IRI D. Blagoveshchensky et al. 10.1016/j.asr.2015.11.029
49. A new flexible model to calibrate single-layer height for ionospheric modeling using a neural network model L. Xu et al. 10.1007/s10291-023-01450-4
50. A new electron density model of the plasmasphere for operational applications and services N. Jakowski & M. Hoque 10.1051/swsc/2018002
51. International Reference Ionosphere 2016: From ionospheric climate to real‐time weather predictions D. Bilitza et al. 10.1002/2016SW001593
52. A Tomographic Method for the Reconstruction of the Plasmasphere Based on COSMIC/ FORMOSAT-3 Data F. Prol & M. Hoque 10.1109/JSTARS.2022.3155926
53. Plasmasphere and topside ionosphere reconstruction using METOP satellite data during geomagnetic storms F. Prol et al. 10.1051/swsc/2020076
54. Progress in space weather modeling in an operational environment I. Tsagouri et al. 10.1051/swsc/2013037
55. The Four‐Dimensional Variational Neustrelitz Electron Density Assimilation Model: NEDAM L. Yuan et al. 10.1029/2022SW003378
56. Global median model of the F2-layer peak height based on ionospheric radio-occultation and ground-based Digisonde observations V. Shubin 10.1016/j.asr.2015.05.029
57. Enhancing the quality of tomographic image by means of image reconstruction based on hybrid grids J. Yu et al. 10.1016/j.asr.2020.04.026
58. Ionospheric irregularities observed during the geomagnetic storm of March 2015 and June 2015 over Ethiopia S. Demelash & T. Kassa 10.1016/j.asr.2023.04.022
59. An empirical model of the topside plasma density around 600 km based on ROCSAT‐1 and Hinotori observations H. Huang et al. 10.1002/2014JA020940
60. Comparative analysis of two new empirical models IRI-Plas and NGM (the Neustrelitz Global Model) O. Maltseva et al. 10.1016/j.asr.2014.09.027
61. An Empirical Model of Ionospheric Total Electron Content Based on Tide‐Like Signature Modeling H. Ruan et al. 10.1029/2023SW003564
62. A comparison of the LPIM-COSMIC F2 peak parameters determinations against the IRI(CCIR) F. Azpilicueta et al. 10.1016/j.asr.2014.08.008
63. A regional model for the prediction of M(3000)F2 over East Asia J. Wang et al. 10.1016/j.asr.2020.01.026
64. Analysis of ionospheric parameters retrieved from Feng-Yun 3C and COSMIC radio occultation J. Xu et al. 10.1016/j.asr.2021.03.005
65. The International Reference Ionosphere Model: A Review and Description of an Ionospheric Benchmark D. Bilitza et al. 10.1029/2022RG000792
66. Three Dual-Frequency Precise Point Positioning Models for the Ionospheric Modeling and Satellite Pseudorange Observable-Specific Signal Bias Estimation K. Su & S. Jin 10.3390/rs13245093
67. TEC and Ionospheric Height Estimation by Means of Azimuth Subaperture Analysis in Quad-Polarimetric Spaceborne SAR Data J. Kim & K. Papathanassiou 10.1109/JSTARS.2021.3085130
68. Estimation of Spatial Gradients and Temporal Variations of the Total Electron Content Using Ground‐Based GNSS Measurements N. Jakowski & M. Hoque 10.1029/2018SW002119
69. A single station ionospheric empirical model using GPS-TEC observations based on nonlinear least square estimation method B. Zhang et al. 10.1016/j.asr.2021.07.017