14 citations as recorded by crossref.

1. A Dynamical Model of Equatorial Magnetosonic Waves in the Inner Magnetosphere: A Machine Learning Approach R. Boynton et al. https://doi.org/10.1029/2020JA028439
2. The time derivative of the geomagnetic field has a short memory M. Kellinsalmi et al. https://doi.org/10.5194/angeo-40-545-2022
3. Forecasting the Earth’s radiation belts and modelling solar energetic particle events: Recent results from SPACECAST R. Horne et al. https://doi.org/10.1051/swsc/2013042
4. Echo state network model for analyzing solar-wind effects on the AU and AL indices S. Nakano & R. Kataoka https://doi.org/10.5194/angeo-40-11-2022
5. Real‐Time SWMF at CCMC: Assessing the Dst Output From Continuous Operational Simulations M. Liemohn et al. https://doi.org/10.1029/2018SW001953
6. A comparison of machine-learning techniques for the prediction of the auroral electrojet index S. Gopinath & P. Prince https://doi.org/10.1007/s12040-019-1194-6
7. Probabilistic modelling of substorm occurrences with an echo state network S. Nakano et al. https://doi.org/10.5194/angeo-41-529-2023
8. Auroral ultraviolet images for prediction of the auroral electrojet index J. Li et al. https://doi.org/10.1007/s11600-025-01589-3
9. The Influence of Solar Wind and Geomagnetic Indices on Lower Band Chorus Emissions in the Inner Magnetosphere R. Boynton et al. https://doi.org/10.1029/2018JA025704
10. Modeling Radiation Belt Electrons With Information Theory Informed Neural Networks S. Wing et al. https://doi.org/10.1029/2022SW003090
11. Application of nonlinear autoregressive moving average exogenous input models to geospace: advances in understanding and space weather forecasts R. Boynton et al. https://doi.org/10.5194/angeo-31-1579-2013
12. Modeling of Auroral Electrojet Index with Ultraviolet Aurora Image H. XIAO & X. TIAN https://doi.org/10.11728/cjss2023.03.2022-0033
13. Low‐energy electrons (5–50 keV) in the inner magnetosphere N. Ganushkina et al. https://doi.org/10.1002/2013JA019304
14. Model Evaluation Guidelines for Geomagnetic Index Predictions M. Liemohn et al. https://doi.org/10.1029/2018SW002067