51 citations as recorded by crossref.

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5. Zero‐baseline Analysis of GPS/BeiDou/Galileo Between‐Receiver Differential Code Biases (BR‐DCBs): Time‐wise Retrieval and Preliminary Characterization B. Zhang & P. Teunissen 10.1002/navi.132
6. Comparison of GPS receiver DCB estimation methods using a GPS network B. Choi et al. 10.5047/eps.2012.10.003
7. Obtaining Ionospheric Conditions according to Data of Navigation Satellites O. Maltseva & N. Mozhaeva 10.1155/2015/804791
8. Observation of the fast-traveling ionospheric disturbances induced by the 2017 North Korean missile B. Choi & J. Hong 10.1016/j.asr.2018.12.033
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18. Influences of the day‐night differences of ionospheric variability on the estimation of GPS differential code bias L. Li et al. 10.1002/2014RS005565
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23. High-precision VTEC derivation with GEONET Q. Li et al. 10.1186/s40623-020-1137-0
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25. Characterization of multi-GNSS between-receiver differential code biases using zero and short baselines B. Zhang & P. Teunissen 10.1007/S11434-015-0911-Z
26. Characterization of the impact of GLONASS observables on receiver bias estimation for ionospheric studies P. Vergados et al. 10.1002/2015RS005831
27. Disturbance electric fields and their effect on ionospheric TEC and scintillations over south China K. Deng et al. 10.1016/j.asr.2023.04.018
28. A new short-term forecasting model for the total electron content storm time disturbances I. Tsagouri et al. 10.1051/swsc/2018019
29. An Accurate Method for the Global Ionospheric TEC Estimation Using Multi-GNSS Observations L. He et al. 10.1109/TGRS.2024.3523396
30. Statistical analysis on the ionospheric response over South American mid- and near high-latitudes during 70 intense geomagnetic storms occurred in the period of two decades A. de Abreu et al. 10.1016/j.jastp.2023.106060
31. Revisiting the Variation of the Ionospheric Irregularities in the Low Latitude Region of China Based on Small Regional Geodetic GNSS Station Network H. Gao et al. 10.1029/2023SW003452
32. Regional 3‐D ionospheric electron density specification on the basis of data assimilation of ground‐based GNSS and radio occultation data E. Aa et al. 10.1002/2016SW001363
33. Ground‐based GPS observation of SED‐associated irregularities over CONUS Y. Sun et al. 10.1029/2012JA018103
34. Evaluation of LEO based GPS slant TEC using a simulation technique J. Lin & F. Zhu 10.1007/s10509-018-3451-6
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36. TEC and Instrumental Bias Estimation of GAGAN Station Using Kalman Filter and SCORE Algorithm D. Sunehra 10.4236/pos.2016.71004
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39. A regional ionospheric TEC mapping technique over China and adjacent areas: GNSS data processing and DINEOF analysis A. Ercha et al. 10.1007/s11432-015-5399-2
40. A case study of the large-scale traveling ionospheric disturbances in the eastern Asian sector during the 2015 St. Patrick's Day geomagnetic storm J. Liu et al. 10.5194/angeo-37-673-2019
41. A comparative study of the northern and southern equatorial ionization anomaly crests in the East-Asian sector during 2006–2015 X. Mo & D. Zhang 10.1016/j.asr.2021.04.003
42. GPS detection of the coseismic ionospheric disturbances following the 12 May 2008 M7.9 Wenchuan earthquake in China Q. Song et al. 10.1007/s11430-014-5000-7
43. Changes of Ionospheric Total Electron Content Caused by Large-scale Earthquakes and Recent Earthquakes Occurred Around the Korean Peninsula B. Kim & K. Seo 10.7582/GGE.2016.19.4.228
44. The estimation of receiver code bias for MyRTKnet stations S. Khamdan et al. 10.1088/1755-1315/169/1/012029
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47. Error Characteristics of GNSS Derived TEC G. Ma et al. 10.3390/atmos13020237
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49. Derivation of TEC and GPS hardware delay based on dual-frequency GPS observations X. Wang & G. Ma 10.11728/cjss2014.02.168
50. The influence of grounding on GPS receiver differential code biases B. Choi & S. Lee 10.1016/j.asr.2018.04.033
51. Kalman filter based estimation of differential hardware biases with triangular interpolation technique for IRNSS M. Maheshwari et al. 10.1016/j.asr.2018.09.031