22 citations as recorded by crossref.

1. Does theF10.7index correctly describe solar EUV flux during the deep solar minimum of 2007-2009? Y. Chen et al. https://doi.org/10.1029/2010JA016301
2. Prediction of solar activities: Sunspot numbers and solar magnetic synoptic maps R. Zhuo et al. https://doi.org/10.1007/s11430-023-1354-4
3. Forecasting solar cycle 24 using neural networks J. Uwamahoro et al. https://doi.org/10.1016/j.jastp.2008.12.003
4. Variation of the 0+ ion density during low and high solar activity as measured by the SR0SS-C2 satellite A. Bardhan et al. https://doi.org/10.1016/S0187-6236(14)71112-9
5. Impact of variations in solar activity on hydrological decadal patterns in northern Italy D. Zanchettin et al. https://doi.org/10.1029/2007JD009157
6. A wavelet based analysis of cosmic rays modulation N. Zarrouk & R. Bennaceur https://doi.org/10.1016/j.actaastro.2009.01.020
7. Estimating the geoeffectiveness of halo CMEs from associated solar and IP parameters using neural networks J. Uwamahoro et al. https://doi.org/10.5194/angeo-30-963-2012
8. A study on precursors leading to geomagnetic storms using artificial neural network G. SINGH & A. SINGH https://doi.org/10.1007/s12040-016-0702-1
9. Analysis of the first four moderate geomagnetic storms of the year 2015 E. Eroglu https://doi.org/10.1007/s12517-021-08816-3
10. Comparison of Fourier and wavelet techniques in the determination of geomagnetic field line resonances A. Boudouridis & E. Zesta https://doi.org/10.1029/2006JA011922
11. The Influence of Asymmetrical Distribution of Hemispheric Sunspot Areas on Some Solar Parameters’ Periodicities during the Period 1945–2017: Wavelet Analysis M. El-Borie et al. https://doi.org/10.3847/1538-4357/ab9d21
12. Detection of the ionospheric disturbances on GPS-TEC using Differential Rate Of TEC (DROT) algorithm S. Karatay https://doi.org/10.1016/j.asr.2020.01.042
13. Using artificial neural networks in the investigation of four moderate geomagnetic storms (mGSs) that occurred in 2015 F. Basciftci https://doi.org/10.1016/j.asr.2023.01.001
14. Solar activity modelled and forecasted: A new approach H. Lundstedt https://doi.org/10.1016/j.asr.2006.03.041
15. Solar activity dependence of the topside ionosphere at low latitudes Y. Chen et al. https://doi.org/10.1029/2008JA013957
16. Solar activity effects of the ionosphere: A brief review L. Liu et al. https://doi.org/10.1007/s11434-010-4226-9
17. 太阳活动预测: 太阳黑子数和太阳综合磁图 睿. 卓 et al. https://doi.org/10.1360/N072023-0305
18. Methods of analysis of geomagnetic field variations and cosmic ray data O. Mandrikova et al. https://doi.org/10.1186/s40623-014-0148-0
19. Zonal geomagnetic indices estimation of the two super geomagnetic activities of 2015 with the artificial neural networks E. Eroglu https://doi.org/10.1016/j.asr.2021.04.036
20. Extrapolating cosmic ray variations and impacts on life: Morlet wavelet analysis N. Zarrouk & R. Bennaceur https://doi.org/10.1017/S1473550409990085
21. The variability of solar EUV: A multiscale comparison between sunspot number, 10.7cm flux, LASP MgII index, and SOHO/SEM EUV flux P. Wintoft https://doi.org/10.1016/j.jastp.2011.03.009
22. IONOSPHERIC DISTURBANCES: IMPACT, DETECTION AND VARIABILITY BEFORE AND DURING 2023 KAHRAMANMARAŞ EARTHQUAKES S. Karatay et al. https://doi.org/10.17482/uumfd.1660580