5 citations as recorded by crossref.

1. Inverse Analysis of Experimental Scale Turbidity Currents Using Deep Learning Neural Networks Z. Cai & H. Naruse https://doi.org/10.1029/2021JF006276
2. Calibration, inversion and sensitivity analysis for hydro-morphodynamic models through the application of adjoint methods M. Clare et al. https://doi.org/10.1016/j.cageo.2022.105104
3. Inverse modeling of turbidity currents using an artificial neural network approach: verification for field application H. Naruse & K. Nakao https://doi.org/10.5194/esurf-9-1091-2021
4. Reconstructing landscapes: an adjoint model of the stream power and diffusion erosion equation C. Petit et al. https://doi.org/10.5194/esurf-13-1263-2025
5. Density stratification controls the bedform phase diagram of saline‐gravity currents versus open‐channel flows K. Ohata et al. https://doi.org/10.1111/sed.13075