10 citations as recorded by crossref.

1. Statistical method to predict the sunspots number H. Abdel-Rahman & B. Marzouk https://doi.org/10.1016/j.nrjag.2018.08.001
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5. 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
6. Progress in Solar Cycle Predictions: Sunspot Cycles 24–25 in Perspective D. Nandy https://doi.org/10.1007/s11207-021-01797-2
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8. The Sunspot Number Forecasting Using a Hybridization Model of EMD, LSTM and Attention Mechanism J. Yang et al. https://doi.org/10.1002/tee.23908
9. Forecasting the number of sunspots for solar cycle 25 utilizing the facebook prophet model H. Rahman & W. Badawy https://doi.org/10.1038/s41598-025-33819-5
10. Trend estimation and univariate forecast of the sunspot numbers: Development and comparison of ARMA, ARIMA and Autoregressive Neural Network models S. Chattopadhyay et al. https://doi.org/10.1016/j.crte.2011.07.008