13 citations as recorded by crossref.

1. A systematic framework for automated rip current detection from numerically modeled flow data Y. Liu et al. https://doi.org/10.1002/lom3.70022
2. Risk assessment of rip current in China: based on data from 33 beaches W. Tang et al. https://doi.org/10.1007/s00367-024-00792-3
3. Numerical analysis of rip currents at RK Beach, Visakhapatnam, India using XBeach model S. B et al. https://doi.org/10.1016/j.rsma.2025.104691
4. Investigation of the rip current risks on the headland beaches with bathymetric anomalies H. Bian et al. https://doi.org/10.1016/j.oceaneng.2026.127012
5. A framework for morphological impact assessment of a small sandy beach under climate What-If Scenarios and Nature-based Solutions D. da Silva et al. https://doi.org/10.1016/j.jenvman.2026.128756
6. Analysis and machine-learning-based prediction of beach accidents on a recreational beach in China Y. Li et al. https://doi.org/10.1007/s44218-024-00067-5
7. Offshore wave energy converter array poses threat to coasts causing significant rip currents X. Cao et al. https://doi.org/10.1063/5.0279511
8. Quantitative assessments of rip current hazard indexes on embayed beaches J. Xu et al. https://doi.org/10.1016/j.oceaneng.2025.123837
9. Towards a real-time modeling of global ocean waves by the fully GPU-accelerated spectral wave model WAM6-GPU v1.0 Y. Yuan et al. https://doi.org/10.5194/gmd-17-6123-2024
10. Rip current likelihood as a function of incident wave conditions for different bathymetries J. Choi et al. https://doi.org/10.1016/j.apor.2025.104727
11. Lightweight GPU-Accelerated Parallel Processing of the SCHISM Model Using CUDA Fortran H. Zhang et al. https://doi.org/10.3390/jmse13040662
12. Assessing Rip Current Occurrences at Featureless Beaches Using Boussinesq Modeling Y. Liu et al. https://doi.org/10.3390/jmse13061139
13. Drowning incidents in Samandağ before and after the 6 February 2023 Kahramanmaraş earthquake H. Yuce Ozdemir et al. https://doi.org/10.1136/ip-2025-045912