24 citations as recorded by crossref.

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13. The Significance of Input Features for Domain Adaptation of Spacecraft Data E. Karimov et al. 10.31857/S0023420623600125
14. Using Classification Methods in Forecasting the Level of Geomagnetic Field Disturbance Based on the Kp-Index I. Gadzhiev et al. 10.1134/S0016793224600140
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17. Comparison of the Efficiency of Machine Learning Methods in Studying the Importance of Input Features in the Problem of Forecasting the Dst Geomagnetic Index R. Vladimirov et al. 10.31857/S0016794022100224
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21. The K‐derived MLT sector geomagnetic indices A. Chambodut et al. 10.1002/grl.50947
22. The Prediction of the Dst-Index Based on Machine Learning Methods A. Efitorov et al. 10.1134/S0010952518060035
23. Extreme relativistic electron fluxes at geosynchronous orbit: Analysis of GOESE> 2 MeV electrons N. Meredith et al. 10.1002/2014SW001143
24. The Significance of Input Features for Domain Adaptation of Spacecraft Data E. Karimov et al. 10.1134/S0010952523700466