61 citations as recorded by crossref.

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4. A regional model for the prediction of M(3000)F2 over East Asia J. Wang et al. https://doi.org/10.1016/j.asr.2020.01.026
5. Modelling ionospheric vertical drifts over Africa low latitudes using Empirical Orthogonal functions and comparison with climatological model M. Dubazane et al. https://doi.org/10.1016/j.asr.2017.10.024
6. Linear time series modeling of GPS-derived TEC observations over the Indo-Thailand region P. Suraj et al. https://doi.org/10.1007/s00190-017-1099-6
7. Modelling total electron content during geomagnetic storm conditions using empirical orthogonal functions and neural networks J. Uwamahoro & J. Habarulema https://doi.org/10.1002/2015JA021961
8. Reconstruction of ionospheric VTEC using empirical orthogonal function and its performance during extreme geomagnetic storm R. Acharya & V. Dey https://doi.org/10.1016/j.geog.2024.08.005
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10. 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
11. An update global model of hmF2 from values estimated from ionosonde and COSMIC/FORMOSAT-3 radio occultation M. Zhang et al. https://doi.org/10.1016/j.asr.2013.11.053
12. The International Reference Ionosphere Model: A Review and Description of an Ionospheric Benchmark D. Bilitza et al. https://doi.org/10.1029/2022RG000792
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17. Study of Time-Frequency Domain Characteristics of the Total Column Ozone in China Based on Wavelet Analysis C. Tang et al. https://doi.org/10.3390/atmos14060941
18. A technique for routinely updating the ITU-R database using radio occultation electron density profiles C. Brunini et al. https://doi.org/10.1007/s00190-013-0648-x
19. Enhanced Forecasting of Global Ionospheric Vertical Total Electron Content Maps Using Deep Learning Methods Y. Lin et al. https://doi.org/10.3390/atmos15111319
20. ГЛОБАЛЬНАЯ ЭМПИРИЧЕСКАЯ МОДЕЛЬ КРИТИЧЕСКОЙ ЧАСТОТЫ /2-СЛОЯ ИОНОСФЕРЫ ДЛЯ СПОКОЙНЫХ ГЕОМАГНИТНЫХ УСЛОВИЙ, "Геомагнетизм и аэрономия" В. Шубин https://doi.org/10.7868/S0016794017040186
21. Characterization of ionospheric variability in TEC using EOF and wavelets over low-latitude GNSS stations J. Dabbakuti & D. Venkata Ratnam https://doi.org/10.1016/j.asr.2016.03.029
22. A review and prospects of operational frequency selecting techniques for HF radio communication J. Wang et al. https://doi.org/10.1016/j.asr.2022.01.026
23. International Reference Ionosphere 2016: From ionospheric climate to real‐time weather predictions D. Bilitza et al. https://doi.org/10.1002/2016SW001593
24. Statistical investigation of the noise added to a model of the effect of solar activities on the plasma of the ionosphere using DEMETER satellite data M. Sharzehei et al. https://doi.org/10.1016/j.jastp.2015.05.011
25. Modeling and analysis of GPS-TEC low latitude climatology during the 24th solar cycle using empirical orthogonal functions J. Dabbakuti & D. Venkata Ratnam https://doi.org/10.1016/j.asr.2017.06.048
26. Multi constellation GNSS precise point positioning and prediction of propagation errors using singular spectrum analysis K. Ansari & K. Park https://doi.org/10.1007/s10509-018-3479-7
27. A new regional total electron content empirical model in northeast China J. Feng et al. https://doi.org/10.1016/j.asr.2016.06.001
28. Simplified Regional Prediction Model of Long-Term Trend for Critical Frequency of Ionospheric F2 Region over East Asia J. Wang et al. https://doi.org/10.3390/app9163219
29. 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
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31. Global Dynamic Model of Critical Frequency of the Ionospheric F2 Layer V. Shubin & M. Deminov https://doi.org/10.1134/S0016793219040157
32. A modeling study offoF2andhmF2parameters measured by the Arecibo incoherent scatter radar and comparison with IRI model predictions for solar cycles 21, 22, and 23 C. Brum et al. https://doi.org/10.1029/2010JA015727
33. Double crests of peak height in the equatorial ionospheric F2 layer observed by COSMIC X. Luan et al. https://doi.org/10.1002/2015JA021611
34. Implementation of Hybrid Ionospheric TEC Forecasting Algorithm Using PCA-NN Method I. Mallika et al. https://doi.org/10.1109/JSTARS.2018.2877445
35. Modeling the global ionospheric electron densities based on the EOF decomposition of the ionospheric radio occultation observation M. Zhang et al. https://doi.org/10.1016/j.asr.2020.09.033
36. 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 https://doi.org/10.1016/j.asr.2019.04.022
37. Global empirical model of critical frequency of the ionospheric F2-layer for quiet geomagnetic conditions V. Shubin https://doi.org/10.1134/S0016793217040181
38. Comparison of the Performance of the Regression Models in GPS-Total Electron Content Prediction B. AKYÜZ et al. https://doi.org/10.2339/politeknik.1137658
39. Storm Time Total Electron Content Modeling Over African Low‐Latitude and Midlatitude Regions J. Uwamahoro et al. https://doi.org/10.1029/2018JA025455
40. Modeling ionospheric <I>fo</I>F2 by using empirical orthogonal function analysis D. Zhang et al. https://doi.org/10.5194/angeo-29-1501-2011
41. Highlights about the performances of storm-time TEC modelling techniques for low/equatorial and mid-latitude locations J. Uwamahoro et al. https://doi.org/10.1016/j.asr.2019.01.027
42. Effects of the Intraday Variability of the Radio Galaxy Perseus A (3C 84) at a Frequency of 6.5 GHz and Evidence for a Possible FRB Event V. Bezrukovs et al. https://doi.org/10.3390/galaxies14010001
43. Empirical orthogonal function analysis and modeling of global ionospheric spherical harmonic coefficients P. Chen et al. https://doi.org/10.1007/s10291-020-00984-1
44. Global empirical models of the density peak height and of the equivalent scale height for quiet conditions D. Altadill et al. https://doi.org/10.1016/j.asr.2012.11.018
45. A Prediction Method of Ionospheric hmF2 Based on Machine Learning J. Wang et al. https://doi.org/10.3390/rs15123154
46. A new global model for the ionospheric F2 peak height for radio wave propagation M. Hoque & N. Jakowski https://doi.org/10.5194/angeo-30-797-2012
47. Modeling of GPS total electron content over the African low-latitude region using empirical orthogonal functions G. Andima et al. https://doi.org/10.5194/angeo-37-65-2019
48. Scale‐Separated Dynamic Mode Decomposition and Ionospheric Forecasting D. Alford‐Lago et al. https://doi.org/10.1029/2022RS007637
49. Empirical Orthogonal Function analysis and modeling of ionospheric TEC over South Korean region K. Ansari et al. https://doi.org/10.1016/j.actaastro.2019.05.044
50. Modeling TEC Irregularities in the Arctic Ionosphere Using Empirical Orthogonal Function Method Y. Jin et al. https://doi.org/10.1029/2023SW003531
51. An Explainable Dynamic Prediction Method for Ionospheric foF2 Based on Machine Learning J. Wang et al. https://doi.org/10.3390/rs15051256
52. Modeling the global ionospheric total electron content with empirical orthogonal function analysis W. Wan et al. https://doi.org/10.1007/s11431-012-4823-8
53. A New Empirical Model of NmF2 Based on CHAMP, GRACE, and COSMIC Radio Occultation Z. Liu et al. https://doi.org/10.3390/rs11111386
54. An empirical model of the occurrence of an additional layer in the ionosphere from the occultation technique: Preliminary results B. Zhao et al. https://doi.org/10.1002/2014JA020220
55. Topside correction of IRI by global modeling of ionospheric scale height using COSMIC radio occultation data M. Wu et al. https://doi.org/10.1002/2016JA022785
56. Evaluation of global modeling of M(3000)F2 and hmF2 based on alternative empirical orthogonal function expansions M. Zhang et al. https://doi.org/10.1016/j.asr.2010.06.004
57. Modeling and analysis of ionosphere TEC over China and adjacent areas based on EOF method S. Li et al. https://doi.org/10.1016/j.asr.2019.04.018
58. Climatology and modeling of ionospheric irregularities over Greenland based on empirical orthogonal function method Y. Jin et al. https://doi.org/10.1051/swsc/2022022
59. Empirical Orthogonal Function Analysis and Modeling of Global Tropospheric Delay Spherical Harmonic Coefficients Y. Ma et al. https://doi.org/10.3390/rs13214385
60. Modeling Chinese ionospheric layer parameters based on EOF analysis Y. Yu et al. https://doi.org/10.1002/2014SW001159
61. Equatorial ionization anomaly in the low‐latitude topside ionosphere: Local time evolution and longitudinal difference Y. Chen et al. https://doi.org/10.1002/2016JA022394