40 citations as recorded by crossref.

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15. Noncontact Automatic Water-Level Assessment and Prediction in an Urban Water Stream Channel of a Volcanic Island Using Deep Learning F. Mendonça et al. 10.3390/electronics13061145
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20. Predicting Dynamic Riverine Nitrogen Export in Unmonitored Watersheds: Leveraging Insights of AI from Data-Rich Regions R. Xiong et al. 10.1021/acs.est.2c02232
21. Temporary flood marks proposal: What we learned after losing the baroque artifact from Cracow, Poland R. Szczepanek et al. 10.1016/j.ijdrr.2022.102942
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24. Stage and discharge prediction from documentary time-lapse imagery K. Chapman et al. 10.1371/journal.pwat.0000106
25. Application of Closed-Circuit Television Image Segmentation for Irrigation Channel Water Level Measurement K. Kim & J. Choi 10.3390/w15183308
26. Urban Flood Inundation Area Detection using YOLOv8 Model F. Xue et al. 10.1007/s11269-025-04211-9
27. Do we need to label large datasets for river water segmentation? Benchmark and stage estimation with minimum to non-labeled image time series P. Zamboni et al. 10.1080/01431161.2025.2457131
28. Deep Learning to Recognize Water Level for Agriculture Reservoir Using CCTV Imagery S. Kwon & S. Lee 10.1007/s11269-023-03714-7
29. A deep learning workflow enhanced with optical flow fields for flood risk estimation C. Ranieri et al. 10.1007/s10489-024-05466-2
30. A Comparative Performance Analysis of Popular Deep Learning Models and Segment Anything Model (SAM) for River Water Segmentation in Close-Range Remote Sensing Imagery A. Moghimi et al. 10.1109/ACCESS.2024.3385425
31. Refraction-based waterlogging depth measurement using solely traffic cameras for transparent flood monitoring J. Qin & P. Shen 10.1016/j.jhydrol.2025.132917
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34. Deep learning for automated trash screen blockage detection using cameras: Actionable information for flood risk management R. Vandaele et al. 10.2166/hydro.2024.013
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39. Runoff Prediction Based on the Discharge of Pump Stations in an Urban Stream Using a Modified Multi-Layer Perceptron Combined with Meta-Heuristic Optimization W. Lee & E. Lee 10.3390/w14010099
40. Deep learning and LiDAR integration for surveillance camera-based river water level monitoring in flood applications N. Muhadi et al. 10.1007/s11069-024-06503-6