41 citations as recorded by crossref.

1. Electron flux models for different energies at geostationary orbit R. Boynton et al. 10.1002/2016SW001506
2. Prediction of the Dst Index and Analysis of Its Dependence on Solar Wind Parameters Using Neural Network A. Lethy et al. 10.1029/2018SW001863
3. Recurrence‐Based Quantification of Dynamical Complexity in the Earth's Magnetosphere at Geospace Storm Timescales R. Donner et al. 10.1029/2018JA025318
4. A Dynamical Model of Equatorial Magnetosonic Waves in the Inner Magnetosphere: A Machine Learning Approach R. Boynton et al. 10.1029/2020JA028439
5. Role of the variable solar wind in the dynamics of small-scale magnetosheath structures L. Rakhmanova et al. 10.3389/fspas.2023.1121230
6. Forecasting of global data‐binning parameters for high‐resolution empirical geomagnetic field models M. Sitnov et al. 10.1029/2012SW000783
7. The System Science Development of Local Time‐Dependent 40‐keV Electron Flux Models for Geostationary Orbit R. Boynton et al. 10.1029/2018SW002128
8. Real‐Time SWMF at CCMC: Assessing the Dst Output From Continuous Operational Simulations M. Liemohn et al. 10.1029/2018SW001953
9. A cellular automata-based model of Earth's magnetosphere in relation withDstindex A. Banerjee et al. 10.1002/2014SW001138
10. The Challenge of Machine Learning in Space Weather: Nowcasting and Forecasting E. Camporeale 10.1029/2018SW002061
11. One-hour ahead prediction of the Dst index based on the optimum state space reconstruction and pattern recognition A. Bej et al. 10.1140/epjp/s13360-022-02687-7
12. Evaluation of Kp and Dst Predictions Using ACE and DSCOVR Solar Wind Data P. Wintoft & M. Wik 10.1029/2018SW001994
13. Modeling the time behavior of the D st index during the main phase of magnetic storms generated by various types of solar wind N. Nikolaeva et al. 10.1134/S0010952513060038
14. Probabilistic forecasting of the disturbance storm time index: An autoregressive Gaussian process approach M. Chandorkar et al. 10.1002/2017SW001627
15. A General Use QSAR-ARX Model to Predict the Corrosion Inhibition Efficiency of Drugs in Terms of Quantum Mechanical Descriptors and Experimental Comparison for Lidocaine C. Beltran-Perez et al. 10.3390/ijms23095086
16. Comparison of Dst forecast models for intense geomagnetic storms E. Ji et al. 10.1029/2011JA016872
17. Electron Flux Dropouts at L ∼ 4.2 From Global Positioning System Satellites: Occurrences, Magnitudes, and Main Driving Factors R. Boynton et al. 10.1002/2017JA024523
18. Geomagnetic storm forecasting service StormFocus: 5 years online T. Podladchikova et al. 10.1051/swsc/2018017
19. Forecasting SYM‐H Index: A Comparison Between Long Short‐Term Memory and Convolutional Neural Networks F. Siciliano et al. 10.1029/2020SW002589
20. On the prediction of the auroral westward electrojet index O. Amariutei & N. Ganushkina 10.5194/angeo-30-841-2012
21. The Influence of Solar Wind and Geomagnetic Indices on Lower Band Chorus Emissions in the Inner Magnetosphere R. Boynton et al. 10.1029/2018JA025704
22. Statistical Study between Characteristic Parameters of Coronal Holes and Intensity/Time of Geomagnetic Storms X. BU et al. 10.11728/cjss2020.01.009
23. Space‐Based Sentinels for Measurement of Infrared Cooling in the Thermosphere for Space Weather Nowcasting and Forecasting M. Mlynczak et al. 10.1002/2017SW001757
24. Space Weather Effects Produced by the Ring Current Particles N. Ganushkina et al. 10.1007/s11214-017-0412-2
25. Forecasting the Dst index using a swarm‐optimized neural network J. Lazzús et al. 10.1002/2017SW001608
26. Extended geomagnetic storm forecast ahead of available solar wind measurements T. Podladchikova & A. Petrukovich 10.1029/2012SW000786
27. 25 Years of Self-Organized Criticality: Solar and Astrophysics M. Aschwanden et al. 10.1007/s11214-014-0054-6
28. Forecasting of SYMH and ASYH indices for geomagnetic storms of solar cycle 24 including St. Patrick’s day, 2015 storm using NARX neural network A. Bhaskar & G. Vichare 10.1051/swsc/2019007
29. Online NARMAX model for electron fluxes at GEO R. Boynton et al. 10.5194/angeo-33-405-2015
30. Can We Estimate the Intensities of Great Geomagnetic Storms (ΔSYM-H ≤ −200 nT) with the Burton Equation or the O’Brien and McPherron Equation? M. Zhao et al. 10.3847/1538-4357/ac50a8
31. Application of nonlinear autoregressive moving average exogenous input models to geospace: advances in understanding and space weather forecasts R. Boynton et al. 10.5194/angeo-31-1579-2013
32. Forecasting Geomagnetic activity (Dst Index) using the ensemble kalman filter B. Nilam & S. Ram 10.1093/mnras/stac099
33. Statistical Prediction of Dst Index by Solar Wind Data and <inline-formula> <tex-math notation="LaTeX">$t$ </tex-math></inline-formula>-Distributions P. Qin & R. Nishii 10.1109/TPS.2015.2485661
34. Dependence of geomagnetic activity during magnetic storms on solar-wind parameters for different types of streams: 4. Simulation for magnetic clouds N. Nikolaeva et al. 10.1134/S0016793214020145
35. System Identification of Local Time Electron Fluencies at Geostationary Orbit R. Boynton et al. 10.1029/2020JA028262
36. Prominence of the training data preparation in geomagnetic storm prediction using deep neural networks M. Cristoforetti et al. 10.1038/s41598-022-11721-8
37. Decoding solar wind-magnetosphere coupling M. Beharrell & F. Honary 10.1002/2016SW001467
38. Model Evaluation Guidelines for Geomagnetic Index Predictions M. Liemohn et al. 10.1029/2018SW002067
39. Exploring Three Recurrent Neural Network Architectures for Geomagnetic Predictions P. Wintoft & M. Wik 10.3389/fspas.2021.664483
40. Dst Index Forecast Based on Ground‐Level Data Aided by Bio‐Inspired Algorithms J. Lazzús et al. 10.1029/2019SW002215
41. Prediction of Partial Ring Current Index Using LSTM Neural Network H. LI et al. 10.11728/cjss2022.05.210513061