12 citations as recorded by crossref.

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4. CNN vs. LSTM: A Comparative Study of Hourly Precipitation Intensity Prediction as a Key Factor in Flood Forecasting Frameworks I. Ebtehaj & H. Bonakdari https://doi.org/10.3390/atmos15091082
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8. Lightning Nowcasting Using Solely Lightning Data E. Mansouri et al. https://doi.org/10.3390/atmos14121713
9. Impact of deep learning-driven precipitation corrected data using near real-time satellite-based observations and model forecast in an integrated hydrological model K. Patakchi Yousefi et al. https://doi.org/10.3389/frwa.2024.1439906
10. Monthly precipitation prediction based on quadratic decomposition and improved parrot algorithm W. Zhang et al. https://doi.org/10.1038/s41598-025-12493-7
11. A dual-weighted loss function for lightning nowcasting J. Tian et al. https://doi.org/10.1016/j.aosl.2026.100778
12. Advanced Prediction and Coated Solar Panel Performance Improvement Using Combined Long Short-Term Memory (LSTM) Architecture–Autoregressive Moving Average (ARMA) Technique B. Pappan et al. https://doi.org/10.1109/ICJECE.2025.3592010