6 citations as recorded by crossref.

1. Computer vision in flash flood forecasting: A narrative review of applications, integration pathways, and future directions H. Adikari et al. https://doi.org/10.1016/j.envsoft.2026.106910
2. Integrating deep-learning detection and hydrological monitoring for driftwood flux estimation in a steep tropical watershed during a typhoon-driven flood Q. Kong et al. https://doi.org/10.1016/j.jhydrol.2026.136183
3. The floodplain wood budget: Linking wood dynamics and ecogeomorphic processes K. Lininger et al. https://doi.org/10.1002/esp.70244
4. A geometric and deep learning reproducible pipeline for monitoring floating anthropogenic debris in urban rivers using in situ cameras G. Grimmer et al. https://doi.org/10.1016/j.ophoto.2026.100132
5. SHAP-based interpretable machine learning for predicting large wood interaction probabilities at bridge piers and abutments: laboratory flume experiments S. Soori et al. https://doi.org/10.1016/j.rineng.2026.112424
6. Characterization of the wood transport regime of a river with a neural network model H. Ghaffarian et al. https://doi.org/10.1002/esp.70247