25 citations as recorded by crossref.

1. Prediction for the amplitude of solar cycle 24 from the pattern of activity near the cycle minimum M. Pishkalo https://doi.org/10.3103/S0884591313010054
2. An improved prediction of sunspot maximum by Vondrak smoothing method Z. Yin & Y. Han https://doi.org/10.1002/asna.201713373
3. Predicting the 25th and 26th solar cycles using the long short-term memory method X. Liu et al. https://doi.org/10.1093/pasj/psad029
4. The solar cycle: predicting the peak of solar cycle 25 Z. Du https://doi.org/10.1007/s10509-020-03818-1
5. Predicting the Amplitude of Solar Cycle 25 Using the Value 39 Months Before the Solar Minimum Z. Du https://doi.org/10.1007/s11207-020-01720-1
6. Kodaikanal digitized white-light data archive (1921–2011): Analysis of various solar cycle features S. Mandal et al. https://doi.org/10.1051/0004-6361/201628651
7. Predictions of Solar Cycle 24: How are we doing? W. Pesnell https://doi.org/10.1002/2015SW001304
8. Predicting the Shape of Solar Cycle 25 Using a Similar-Cycle Method Z. Du https://doi.org/10.1007/s11207-020-01701-4
9. A New Method for Prediction of Peak Sunspot Number and Ascent Time of the Solar Cycle B. Kakad https://doi.org/10.1007/s11207-011-9726-5
10. Estimating the maximum of the smoothed highest 3-hourly aa index in 3 d by the preceding minimum for the solar cycle Z. Du https://doi.org/10.5194/angeo-38-1237-2020
11. NARX Sinir Ağları Yöntemiyle 25. Güneş Aktivite Çevrimi Tahmini M. KALKAN et al. https://doi.org/10.55064/tjaa.1037256
12. Comparing the Correlations Between Solar Cycle Parameters in the Northern and Southern Hemispheres Z. Du https://doi.org/10.1007/s11207-022-02005-5
13. Prediction of Solar Cycle 24 Using Sunspot Number near the Cycle Minimum M. Pishkalo https://doi.org/10.1007/s11207-013-0398-1
14. Predicting the maximum sunspot number and the associated geomagnetic activity indices $aa$ and $Ap$ for solar cycle 25 P. Singh et al. https://doi.org/10.1007/s10509-021-03953-3
15. A Neuro-Fuzzy modeling for prediction of solar cycles 24 and 25 A. Attia et al. https://doi.org/10.1007/s10509-012-1300-6
16. Probability of occurrence of extreme magnetic storms R. Kataoka https://doi.org/10.1002/swe.20044
17. Probable Values of Current Solar Cycle Peak V. Silbergleit https://doi.org/10.1155/2012/167375
18. Predicting the Maximum Amplitude of Solar Cycle 25 Using the Early Value of the Rising Phase Z. Du https://doi.org/10.1007/s11207-022-01991-w
19. Tendency of Discreteness of the Solar Amplitude and Intercycle Relatedness A. Yoshida & R. Sayre https://doi.org/10.1155/2012/519852
20. Difference between even- and odd-numbered cycles in the predictability of solar activity and prediction of the amplitude of cycle 25 A. Yoshida https://doi.org/10.5194/angeo-32-1035-2014
21. Variations in the Correlations of Acceleration and Force of Slow and Fast CMEs with Solar Activity during Solar Cycles 23 – 24 Z. Du https://doi.org/10.1007/s11207-021-01778-5
22. A Decline Phase Modeling for the Prediction of Solar Cycle 25 Y. Han & Z. Yin https://doi.org/10.1007/s11207-019-1494-7
23. Evolution of the Correlation Between the Amplitude of the Solar Cycle and the Sunspot Number Since the Previous Declining Phase in Both Hemispheres Z. Du https://doi.org/10.1007/s11207-022-02051-z
24. Correlation Between Decay Rate and Amplitude of Solar Cycles as Revealed from Observations and Dynamo Theory G. Hazra et al. https://doi.org/10.1007/s11207-015-0718-8
25. Prediction of solar cycle 25 using deep learning based long short-term memory forecasting technique A. Prasad et al. https://doi.org/10.1016/j.asr.2021.10.047