38 citations as recorded by crossref.

1. Regional Refined Long-Term Predictions Method of Usable Frequency for HF Communication Based on Machine Learning Over Asia J. Wang et al. 10.1109/TAP.2021.3111634
2. A New Empirical Model of NmF2 Based on CHAMP, GRACE, and COSMIC Radio Occultation Z. Liu et al. 10.3390/rs11111386
3. Regional model of foF2 for Pakistan using empirical orthogonal function technique U. Ashraf et al. 10.1007/s12517-022-09435-2
4. A review of empirical orthogonal function (EOF) with an emphasis on the co-seismic crustal deformation analysis . Neha & S. Pasari 10.1007/s11069-021-04967-4
5. An Adaptive Forecasting Method for Ionospheric Critical Frequency of F2 Layer J. Wang et al. 10.1029/2019RS007001
6. Empirical orthogonal function analysis and modeling of global ionospheric spherical harmonic coefficients P. Chen et al. 10.1007/s10291-020-00984-1
7. Empirical Orthogonal Function Analysis and Modeling of Global Tropospheric Delay Spherical Harmonic Coefficients Y. Ma et al. 10.3390/rs13214385
8. An effort to study the influence of tides on the longitudinal variation of vertical E×B drift over the African sector V. Habyarimana et al. 10.1016/j.jastp.2020.105338
9. Modeling TEC Irregularities in the Arctic Ionosphere Using Empirical Orthogonal Function Method Y. Jin et al. 10.1029/2023SW003531
10. Characterization of ionospheric variability in TEC using EOF and wavelets over low-latitude GNSS stations J. Dabbakuti & D. Venkata Ratnam 10.1016/j.asr.2016.03.029
11. Linear time series modeling of GPS-derived TEC observations over the Indo-Thailand region P. Suraj et al. 10.1007/s00190-017-1099-6
12. Storm Time Total Electron Content Modeling Over African Low‐Latitude and Midlatitude Regions J. Uwamahoro et al. 10.1029/2018JA025455
13. Modeling ionosphericfoF2response during geomagnetic storms using neural network and linear regression techniques M. Tshisaphungo et al. 10.1016/j.asr.2018.03.025
14. Highlights about the performances of storm-time TEC modelling techniques for low/equatorial and mid-latitude locations J. Uwamahoro et al. 10.1016/j.asr.2019.01.027
15. Topside correction of IRI by global modeling of ionospheric scale height using COSMIC radio occultation data M. Wu et al. 10.1002/2016JA022785
16. Modeling of GPS-TEC using QR-decomposition over the low latitude sector during disturbed geomagnetic conditions J. Dabbakuti et al. 10.1016/j.asr.2019.08.020
17. Empirical orthogonal function modelling of total electron content over Nepal and comparison with global ionospheric models P. Jamjareegulgarn et al. 10.1016/j.actaastro.2020.07.038
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. 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. 10.1016/j.jastp.2025.106477
20. Modeling of local ionospheric time varying characteristics based on singular value decomposition over low-latitude GPS stations R. Neeli et al. 10.1007/s10509-018-3403-1
21. Modelling total electron content during geomagnetic storm conditions using empirical orthogonal functions and neural networks J. Uwamahoro & J. Habarulema 10.1002/2015JA021961
22. Variation of hmF2 and NmF2 deduced from DPS-4 over Multan (Pakistan) and their comparisons with IRI-2012&IRI-2016 during the deep solar minimum between cycles 23 & 24 M. Ameen et al. 10.1016/j.asr.2018.01.043
23. A regional model for the prediction of M(3000)F2 over East Asia J. Wang et al. 10.1016/j.asr.2020.01.026
24. A Machine Learning-Based Method for Modeling TEC Regional Temporal-Spatial Map Y. Liu et al. 10.3390/rs14215579
25. Assessment of IRI2020 model accuracy in predicting ionospheric parameters: Insights from multiple ionosonde stations E. Seba & S. Poedts 10.1016/j.asr.2024.09.026
26. Modelling ionospheric vertical drifts over Africa low latitudes using Empirical Orthogonal functions and comparison with climatological model M. Dubazane et al. 10.1016/j.asr.2017.10.024
27. Global total electron content prediction performance assessment of the IRI-2016 model based on empirical orthogonal function decomposition S. Li et al. 10.5194/angeo-38-331-2020
28. Modeling and analysis of ionosphere TEC over China and adjacent areas based on EOF method S. Li et al. 10.1016/j.asr.2019.04.018
29. Constructing a Regional Ionospheric TEC Model in China with Empirical Orthogonal Function and Dense GNSS Observation B. Xiong et al. 10.3390/rs15215207
30. Climatology and modeling of ionospheric irregularities over Greenland based on empirical orthogonal function method Y. Jin et al. 10.1051/swsc/2022022
31. Simplified Regional Prediction Model of Long-Term Trend for Critical Frequency of Ionospheric F2 Region over East Asia J. Wang et al. 10.3390/app9163219
32. Estimation of Ionospheric Critical Plasma Frequencies From GNSS‐TEC Measurements Using Artificial Neural Networks V. Otugo et al. 10.1029/2019SW002257
33. A new regional total electron content empirical model in northeast China J. Feng et al. 10.1016/j.asr.2016.06.001
34. A global empirical orthogonal function model of plasmaspheric electron content P. Chen et al. 10.1016/j.asr.2019.09.039
35. An Explainable Dynamic Prediction Method for Ionospheric foF2 Based on Machine Learning J. Wang et al. 10.3390/rs15051256
36. Modeling and analysis of GPS-TEC low latitude climatology during the 24th solar cycle using empirical orthogonal functions J. Dabbakuti & D. Venkata Ratnam 10.1016/j.asr.2017.06.048
37. A review and prospects of operational frequency selecting techniques for HF radio communication J. Wang et al. 10.1016/j.asr.2022.01.026
38. Impact of ICME- and SIR/CIR-Driven Geomagnetic Storms on the Ionosphere over Hungary K. Berényi et al. 10.3390/atmos14091377