6 citations as recorded by crossref.

1. A physics-data hybrid model for efficient and accurate prediction of thermal recovery in high-temperature aquifer thermal energy storage W. Zhao et al. https://doi.org/10.1016/j.energy.2026.140626
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3. A hybrid SWAT-LSTM model for streamflow simulation with SHAP-based interpretability: Application in the Wei River Basin, China W. Zhou et al. https://doi.org/10.1016/j.ejrh.2026.103254
4. Risk-informed flood management under climate variability: A hybrid temporal–ensemble artificial intelligence framework M. Melon et al. https://doi.org/10.1007/s42865-026-00126-4
5. Physics-guided spatiotemporal deep learning for urban flood prediction: interpretable modelling with integrated gradients B. Zeng et al. https://doi.org/10.3389/fmars.2026.1843485
6. Enhanced Runoff Prediction in Zijiang River Basin Using Machine Learning and SHAP-Based Interpretability K. Ma et al. https://doi.org/10.3390/w18050601