11 citations as recorded by crossref.

1. Unsupervised image velocimetry for automated computation of river flow velocities M. Perks et al. https://doi.org/10.5194/hess-29-3727-2025
2. Surface Velocity to Depth-Averaged Velocity—A Review of Methods to Estimate Alpha and Remaining Challenges H. Biggs et al. https://doi.org/10.3390/w15213711
3. Comparative Assessment of Different Image Velocimetry Techniques for Measuring River Velocities Using Unmanned Aerial Vehicle Imagery F. Wijaya et al. https://doi.org/10.3390/w15223941
4. Multi-scale local–global deep optical flow network for river surface velocity measurement from drone video E. Zhang et al. https://doi.org/10.1063/5.0322760
5. Open-channel flow rate measurement estimation using videos R. Ljubičić & D. Ivetić https://doi.org/10.5937/GK23055045L
6. Image-based classification of stream stage to support ephemeral stream monitoring S. Ogle et al. https://doi.org/10.5194/hess-30-709-2026
7. A two‐dimensional, reach‐scale implementation of space‐time image velocimetry (STIV) and comparison to particle image velocimetry (PIV) C. Legleiter et al. https://doi.org/10.1002/esp.5878
8. Efficiency in river discharge measurement: combining Chiu’s method with particle image velocimetry techniques R. Rodrigues et al. https://doi.org/10.1590/2318-0331.302520240125
9. A framework to facilitate development and testing of image‐based river velocimetry algorithms C. Legleiter & P. Kinzel https://doi.org/10.1002/esp.5772
10. Sharing perceptual models of uncertainty: On the use of soft information about discharge data I. Westerberg & R. Karlsen https://doi.org/10.1002/hyp.15145
11. HydrocamCollect: A robust data acquisition and cloud data transfer workflow for camera-based hydrological monitoring S. Neupane et al. https://doi.org/10.1016/j.envsoft.2025.106770