11 citations as recorded by crossref.

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4. Toward an improved ensemble of multi-source daily precipitation via joint machine learning classification and regression H. Chen et al. https://doi.org/10.1016/j.atmosres.2024.107385
5. Groundwater quality assessment using machine learning models: a comprehensive study on the industrial corridor of a semi-arid region L. Krishnamoorthy & V. Lakshmanan https://doi.org/10.1007/s11356-024-34119-7
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8. Impacts of Climatic Fluctuations and Vegetation Greening on Regional Hydrological Processes: A Case Study in the Xiaoxinganling Mountains–Sanjiang Plain Region, Northeastern China C. Xu et al. https://doi.org/10.3390/rs16152709
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10. Simultaneous retrieval of hourly ground-level PM 2.5 and PM 10 from FY-4A/AGRI observations using multi-task deep learning X. Zhao et al. https://doi.org/10.1080/01431161.2026.2641831
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