21 citations as recorded by crossref.

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9. 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
10. New hemispheric geomagnetic indices α with 15 min time resolution A. Chambodut et al. 10.1002/2015JA021479
11. An overview of RADOM results for earth and moon radiation environment on Chandrayaan-1 satellite T. Dachev et al. 10.1016/j.asr.2011.05.009
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15. The Prediction of the Dst-Index Based on Machine Learning Methods A. Efitorov et al. 10.1134/S0010952518060035
16. The Use of Coupling Functions in the Forecasting of the Dst-Index Amplitude with Adaptive Methods I. Myagkova et al. 10.1134/S0016793220060092
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19. TID evaluation based on variabilities of space radiation and device failure dose in typical navigation satellite orbits J. Wang et al. 10.1016/j.microrel.2022.114747
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21. The Significance of Input Features for Domain Adaptation of Spacecraft Data E. Karimov et al. 10.1134/S0010952523700466