28 citations as recorded by crossref.

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2. Detecting Changes in European Shoreline Evolution Trends Using Markov Chains and the Eurosion Database G. Le Cozannet et al. https://doi.org/10.3389/fmars.2020.00326
3. Assessing atoll island future habitability in the context of climate change using Bayesian networks M. Badillo-Interiano et al. https://doi.org/10.5194/nhess-25-4527-2025
4. Assessing Po River Deltaic Vulnerability Using Earth Observation and a Bayesian Belief Network Model A. Taramelli et al. https://doi.org/10.3390/w12102830
5. Applicability of parametric beach morphodynamic state classification on embayed beaches C. Loureiro et al. https://doi.org/10.1016/j.margeo.2013.09.005
6. Long-Term Shoreline Change at Kailua, Hawaii, Using Regularized Single Transect T. Anderson et al. https://doi.org/10.2112/JCOASTRES-D-13-00202.1
7. A Bayesian network model for assessments of coastal inundation pathways and probabilities S. Narayan et al. https://doi.org/10.1111/jfr3.12200
8. Application of Bayesian Networks to hindcast barrier island morphodynamics K. Wilson et al. https://doi.org/10.1016/j.coastaleng.2015.04.006
9. A Review of Satellite Remote Sensing Techniques of River Delta Morphology Change D. Munasinghe et al. https://doi.org/10.1007/s41976-021-00044-3
10. Vulnerability of sandy coasts to climate variability D. Idier et al. https://doi.org/10.3354/cr01153
11. The use of genetic programming to develop a predictor of swash excursion on sandy beaches M. Passarella et al. https://doi.org/10.5194/nhess-18-599-2018
12. National evaluation of Chinese coastal erosion to sea level rise using a Bayesian approach Q. Zhan et al. https://doi.org/10.1088/1755-1315/18/1/012136
13. Approaches to evaluate the recent impacts of sea-level rise on shoreline changes G. Le Cozannet et al. https://doi.org/10.1016/j.earscirev.2014.08.005
14. The dynamic effects of sea level rise on low‐gradient coastal landscapes: A review D. Passeri et al. https://doi.org/10.1002/2015EF000298
15. Coastal forecast through coupling of Artificial Intelligence and hydro-morphodynamical modelling P. Kumar & N. Leonardi https://doi.org/10.1080/21664250.2023.2233724
16. Doubling of coastal erosion under rising sea level by mid-century in Hawaii T. Anderson et al. https://doi.org/10.1007/s11069-015-1698-6
17. Determining the Shoreline Retreat Rate of Australia Using Discrete and Hybrid Bayesian Networks Y. Mao et al. https://doi.org/10.1029/2021JF006112
18. Application of Artificial Neural Networks to Predict Beach Nourishment Volume Requirements D. Bujak et al. https://doi.org/10.3390/jmse9080786
19. The Field Geomorphologist in a Time of Artificial Intelligence and Machine Learning C. Houser et al. https://doi.org/10.1080/24694452.2021.1985956
20. Impact of storm-induced morphological changes on extreme wave runup and overtopping of sandy beaches and dunes M. Jamous & R. Marsooli https://doi.org/10.1016/j.ocemod.2025.102671
21. A machine-learning hybrid-classification method for stratification of multidecadal beach dynamics V. Rodriguez-Galiano et al. https://doi.org/10.1080/10106049.2022.2110616
22. Gaining insight into regional coastal changes on La Réunion island through a Bayesian data mining approach T. Bulteau et al. https://doi.org/10.1016/j.geomorph.2014.09.002
23. Monitoring Cliff Erosion with LiDAR Surveys and Bayesian Network-based Data Analysis P. Terefenko et al. https://doi.org/10.3390/rs11070843
24. Correlation Between Shoreline Change and Planform Curvature on Wave‐Dominated, Sandy Coasts R. Lauzon et al. https://doi.org/10.1029/2019JF005043
25. A review of machine learning applications to coastal sediment transport and morphodynamics E. Goldstein et al. https://doi.org/10.1016/j.earscirev.2019.04.022
26. Tidal hydrodynamics under future sea level rise and coastal morphology in the Northern Gulf of Mexico D. Passeri et al. https://doi.org/10.1002/2015EF000332
27. Likely and High-End Impacts of Regional Sea-Level Rise on the Shoreline Change of European Sandy Coasts Under a High Greenhouse Gas Emissions Scenario R. Thiéblemont et al. https://doi.org/10.3390/w11122607
28. A Regional Application of Bayesian Modeling for Coastal Erosion and Sand Nourishment Management A. Giardino et al. https://doi.org/10.3390/w11010061