6 citations as recorded by crossref.

1. Teleconnection-informed clustering of temporally compound hydroclimatic extremes in Europe: post-drought extreme rainfall probability and long-term trends F. Di Nunno et al. https://doi.org/10.1007/s00382-026-08150-y
2. Spatially Explicit Ensemble Machine Learning for High-Resolution TVDI Mapping: Spatial Block Cross-Validation and SHAP Interpretability in a Topoclimatically Complex Mountainous Landscape N. Do et al. https://doi.org/10.1016/j.nhres.2026.06.001
3. Deep Learning-based Seasonal Forecasting Over K-means-derived Climate Zones in Türkiye N. Ciftci et al. https://doi.org/10.1007/s41748-026-01038-1
4. Climate-dependent controls on drought intensity across Iran revealed by explainable machine learning and multi-model assessment S. Sharafi & F. Damdol https://doi.org/10.1016/j.ejrh.2026.103586
5. Probabilistic assessment of warning-stage exceedance during ice-jam flooding using physics-guided river-ice simulations and interpretable stacking ensembles M. Liu et al. https://doi.org/10.1016/j.ejrh.2026.103792
6. China’s Seasonal Precipitation: Quantitative Attribution of Ocean-Atmosphere Teleconnections and Near-Surface Forcing C. Lu et al. https://doi.org/10.3390/hydrology13010019