16 citations as recorded by crossref.

1. Ionospheric foF2 disturbance forecast using neural network improved by a genetic algorithm J. Zhao et al. https://doi.org/10.1016/j.asr.2019.02.038
2. Historical Heliophysical Series of the Ebro Observatory J. Curto et al. https://doi.org/10.1007/s11207-016-0896-z
3. Contribution of solar radiation and geomagnetic activity to global structure of 27-day variation of ionosphere Y. Yao et al. https://doi.org/10.1007/s00190-017-1026-x
4. 27-day variation in solar-terrestrial parameters: Global characteristics and an origin based approach of the signals F. Poblet & F. Azpilicueta https://doi.org/10.1016/j.asr.2018.02.016
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6. Long-Term Trends and Seasonal Variations in Geomagnetic Storms from Data of St. Petersburg Observatories (1878–1954) N. Ptitsyna & M. Tyasto https://doi.org/10.1134/S0016793217080205
7. Forecasting Ionospheric foF2 Based on Deep Learning Method X. Li et al. https://doi.org/10.3390/rs13193849
8. The 27-Day and 22-Year Cycles in Solar and Geomagnetic Activity M. Shnirman et al. https://doi.org/10.1007/s11207-009-9395-9
9. Modification of midlatitude ionospheric parameters in the F2 layer by persistent high‐speed solar wind streams M. Denton et al. https://doi.org/10.1029/2008SW000443
10. Preliminary investigation of real‐time mapping of foF2 in northern China based on oblique ionosonde data C. Zhou et al. https://doi.org/10.1002/jgra.50262
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14. 22-year cycle in the frequency of aurora occurrence in XIX century: Latitudinal effects N. Ptitsyna et al. https://doi.org/10.1134/S0016793217020116
15. Separating the aa-index into Solar and Hale Cycle Related Components Using Principal Component Analysis J. Takalo https://doi.org/10.1007/s11207-021-01825-1
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