10 citations as recorded by crossref.

1. Toward flow forces acting on a step-pool unit C. Zhang et al. https://doi.org/10.1016/j.geomorph.2024.109523
2. Predicting flow resistance in rough‐bed rivers from topographic roughness: Review and open questions R. Ferguson et al. https://doi.org/10.1002/esp.6016
3. Turbulence in a Bend in the Presence of Emergent Vegetation and a 3D Pool Bedform A. Rahimpour et al. https://doi.org/10.3390/w18030431
4. Prediction of maximum scour depth downstream of bed sills using integrated machine learning algorithms D. Guan et al. https://doi.org/10.1016/j.envsoft.2025.106548
5. Empirical Energy Dissipation Model for Variable-Slope Three-Section Stepped Spillways Validated Through Dimensional Analysis and CFD Simulation L. Yataco-Pastor et al. https://doi.org/10.3390/fluids11030078
6. A CNN-Based Framework for Automatic Extraction of High-Resolution River Bankfull Width W. Li et al. https://doi.org/10.3390/rs16234614
7. Hydraulic Simulation of Step–Pool Channels in Mountain Streams Using High-Density Topographic Observation S. WAKAMATSU et al. https://doi.org/10.3178/jjshwr.39.1927
8. Can through-water Structure-from-Motion photogrammetry characterize topographic statistics of gravel-bed surfaces? C. Zhang et al. https://doi.org/10.1016/j.geomorph.2025.110045
9. Fluid-implicit particle solvers in a video gaming engine provide new perspectives in hydroinformatics S. Schwindt et al. https://doi.org/10.2166/hydro.2026.133
10. Unraveling the impacts of geomorphic indicators on sediment connectivity in a typical debris-flow prone small watershed P. Zhao et al. https://doi.org/10.1016/j.jhydrol.2025.133256