7 citations as recorded by crossref.

1. Tree-based vs. deep learning in time series: A prescriptive framework for performance-driven model selection P. Reina-Jiménez et al. https://doi.org/10.1016/j.asoc.2026.114983
2. Predicting Solar Magnetic Activity from S ph and Seismic Parameters Using Random Forest Regression K. Kim & H. Chang https://doi.org/10.3847/1538-4357/adfe6a
3. Genetic Feature Selection and Multistage Deep Learning for Bridge Substructure Condition Prediction B. Awuku & E. Asa https://doi.org/10.1061/JPCFEV.CFENG-5198
4. Evaluating AI approaches for space weather prediction: Strengthening satellite resilience and technology systems P. Thaker et al. https://doi.org/10.1016/j.spaceh.2025.100032
5. Forecasting F10.7 and F30 indices using the variational mode decomposition algorithm and the deep-learning Time-series Dense Encoder Model Y. Egorov https://doi.org/10.1016/j.actaastro.2025.04.027
6. Hybrid ANN+PSO Technique for Accurate Short-Term F10.7 Index Forecasting J. Lazzús & I. Salfate https://doi.org/10.1007/s11207-026-02655-9
7. Research on F10.7 Index Prediction Based on Factor Decomposition and Feature Enhancement S. Yan et al. https://doi.org/10.3847/1538-4365/ad90a2