30 citations as recorded by crossref.

1. Analysis of the first four moderate geomagnetic storms of the year 2015 E. Eroglu
2. Geoeffectiveness of Coronal Mass Ejections in the SOHO Era M. Dumbović et al.
3. Prediction of intensity of moderate and intense geomagnetic storms using artificial neural network during two complete solar cycles 23 and 24 P. Singh
4. Predicting the Geoeffectiveness of CMEs Using Machine Learning A. Pricopi et al.
5. Empirical modeling of the storm time geomagnetic indices: a comparison between the local K and global Kp indices J. Uwamahoro & J. Habarulema
6. The Physical Processes of CME/ICME Evolution W. Manchester et al.
7. Analytical and empirical modelling of the origin and heliospheric propagation of coronal mass ejections, and space weather applications B. Vršnak
8. Characteristics of decametric hectometric (DH) type IIs, CMEs and flares of geoeffective and non-geoeffective storm events in Solar Cycle 24 C. Pant et al.
9. Short-term solar eruptive activity prediction models based on machine learning approaches: A review X. Huang et al.
10. Using artificial neural networks in the investigation of four moderate geomagnetic storms (mGSs) that occurred in 2015 F. Basciftci
11. Predicting coronal mass ejections transit times to Earth with neural network D. Sudar et al.
12. Dst index estimation from cosmic ray and solar wind data during solar cycle 24 using artificial neural networks H. Sabeha et al.
13. Propagation of Solar Energetic Particles During Multiple Coronal Mass Ejection Events S. Pohjolainen et al.
14. Comparison of the first four weak and moderate geomagnetic storms of the 2022 using artificial neural networks K. Koklu
15. A study on precursors leading to geomagnetic storms using artificial neural network G. SINGH & A. SINGH
16. Forecasting the transit times of earth-directed halo CMEs using artificial neural network: A case study application with GCS forward-modeling technique F. Minta et al.
17. Examining the Super Intense Geomagnetic Storm on 10–11 May, 2024 via Artificial Neural Networks S. Bulbul et al.
18. Analysis of magnetic data of ground station network during strong magnetic storms O. Mandrikova et al.
19. Two‐step forecast of geomagnetic storm using coronal mass ejection and solar wind condition R. Kim et al.
20. Predicting the arrival time of CME associated with type-II radio burst using neural networks technique M. Nedal et al.
21. 基于机器学习方法的短期太阳爆发活动预报模型综述 鑫. 黄 et al.
22. Forbush Decrease Prediction Based on Remote Solar Observations M. Dumbović et al.
23. Analysis of ionospheric TEC from GPS, GIM and global ionosphere models during moderate, strong, and extreme geomagnetic storms over Indian region K. Reddybattula et al.
24. Validation of the CME Geomagnetic Forecast Alerts Under the COMESEP Alert System M. Dumbović et al.
25. Relevance vector machines as a tool for forecasting geomagnetic storms during years 1996–2007 T. Andriyas & S. Andriyas
26. Solar and interplanetary precursors of geomagnetic storms in solar cycle 23 J. Uwamahoro & L. McKinnell
27. A neural network system for estimation of the geomagnetic field disturbance O. Mandrikova et al.
28. Zonal geomagnetic indices estimation of the two super geomagnetic activities of 2015 with the artificial neural networks E. Eroglu
29. Prediction of Solar Wind Speed at 1 AU Using an Artificial Neural Network Y. Yang et al.
30. On the prediction of geoeffectiveness of CMEs during the ascending phase of SC24 using a logistic regression method D. Besliu-Ionescu et al.