38 citations as recorded by crossref.

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4. Relativistic Electron Model in the Outer Radiation Belt Using a Neural Network Approach X. Chu et al. 10.1029/2021SW002808
5. Time Series Forecasting of Hourly Relativistic Electrons at Geostationary Orbit during Solar Cycles 23–24 . Thana Yeeram 10.1134/S0016793222030185
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24. Research Progress in High-Energy Electron Flux Prediction Methods in Geosynchronous Orbit . Ke Han et al. 10.1134/S0038094624700357
25. A predictive model for relativistic electrons at geostationary orbit W. Lyatsky & G. Khazanov 10.1029/2008GL034688
26. Specifying High‐Altitude Electrons Using Low‐Altitude LEO Systems: The SHELLS Model S. Claudepierre & T. O'Brien 10.1029/2019SW002402
27. A Review of the Space Environment Effects on Spacecraft in Different Orbits Y. Lu et al. 10.1109/ACCESS.2019.2927811
28. Relativistic Electron Flux Prediction at Geosynchronous Orbit Based on the Neural Network and the Quantile Regression Method H. Zhang et al. 10.1029/2020SW002445
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30. The Challenge of Machine Learning in Space Weather: Nowcasting and Forecasting E. Camporeale 10.1029/2018SW002061
31. Neural Network Prediction of Daily Relativistic Electrons Fluence in the Outer Radiation Belt of the Earth: Selection of Delay Embedding Method ⁎ ⁎This study has been conducted at the expense of Russian Science Foundation, grant no. 16-17-00098. R. Batusov et al. 10.1016/j.procs.2018.01.014
32. Quantitative Prediction of High‐Energy Electron Integral Flux at Geostationary Orbit Based on Deep Learning L. Wei et al. 10.1029/2018SW001829
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34. Prediction of High-energy Electron Flux of Geosynchronous Orbit Based on Empirical Mode Decomposition Y. QIAN et al. 10.11728/cjss2019.03.316
35. Artificial neural network prediction model for geosynchronous electron fluxes: Dependence on satellite position and particle energy D. Shin et al. 10.1002/2015SW001359
36. Prediction Models of ≥2 MeV Electron Daily Fluences for 3 Days at GEO Orbit Using a Long Short-Term Memory Network X. Sun et al. 10.3390/rs15102538
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