29 citations as recorded by crossref.

1. An Operational Wave System within the Monitoring Program of a Mediterranean Beach A. Ruju et al. 10.3390/jmse7020032
2. On the runup parameterisation for reef-lined coasts G. Franklin & A. Torres-Freyermuth 10.1016/j.ocemod.2021.101929
3. Quaternary and Pliocene sea-level changes at Camarones, central Patagonia, Argentina K. Rubio-Sandoval et al. 10.1016/j.quascirev.2024.108999
4. The role of frequency spread on swash dynamics J. Montaño et al. 10.1007/s00367-019-00591-1
5. Wave Run-Up on Mortar-Grouted Riprap Revetments M. Kreyenschulte et al. 10.3390/w12123396
6. An Experimental Research on the Use of Recurrent Neural Networks in Landslide Susceptibility Mapping B. Mutlu et al. 10.3390/ijgi8120578
7. On the prediction of runup, setup and swash on beaches P. Gomes da Silva et al. 10.1016/j.earscirev.2020.103148
8. The Role of Beach Morphology and Mid-Century Climate Change Effects on Wave Runup and Storm Impact on the Northern Yucatan Coast G. Medellín et al. 10.3390/jmse9050518
9. Hotspot dune erosion on an intermediate beach N. Cohn et al. 10.1016/j.coastaleng.2021.103998
10. Ecosystem services of reed and seagrass debris on a urban Mediterranean beach (Poetto, Italy) A. Ruju et al. 10.1016/j.ecss.2022.107862
11. Climate change and coastal morphodynamics: Interactions on regional scales P. Chowdhury et al. 10.1016/j.scitotenv.2023.166432
12. Blind testing of shoreline evolution models J. Montaño et al. 10.1038/s41598-020-59018-y
13. A predictive equation for wave setup using genetic programming C. Dalinghaus et al. 10.5194/nhess-23-2157-2023
14. Filling Missing and Extending Significant Wave Height Measurements Using Neural Networks and an Integrated Surface Database D. Bujak et al. 10.3390/wind3020010
15. Relative Magnitude of Infragravity Waves at Coastal Dikes with Shallow Foreshores: A Prediction Tool C. Lashley et al. 10.1061/(ASCE)WW.1943-5460.0000576
16. Developing a decision tree model to forecast runup and assess uncertainty in empirical formulations M. Itzkin et al. 10.1016/j.coastaleng.2024.104641
17. A review of machine learning applications to coastal sediment transport and morphodynamics E. Goldstein et al. 10.1016/j.earscirev.2019.04.022
18. Ensemble models from machine learning: an example of wave runup and coastal dune erosion T. Beuzen et al. 10.5194/nhess-19-2295-2019
19. Analysis of the contributing factors to infragravity swash based on long-term observations Y. Matsuba & T. Shimozono 10.1016/j.coastaleng.2021.103957
20. Implications of sea-level rise for overwash enhancement at South Portugal Ó. Ferreira et al. 10.1007/s11069-021-04917-0
21. Review on Applications of Machine Learning in Coastal and Ocean Engineering T. Kim & W. Lee 10.26748/KSOE.2022.007
22. Storm Waves at the Shoreline: When and Where Are Infragravity Waves Important? O. Billson et al. 10.3390/jmse7050139
23. The Contribution of Wind-Generated Waves to Coastal Sea-Level Changes G. Dodet et al. 10.1007/s10712-019-09557-5
24. Extraction of urban built-up areas from nighttime lights using artificial neural network T. Xu et al. 10.1080/10106049.2018.1559887
25. The Field Geomorphologist in a Time of Artificial Intelligence and Machine Learning C. Houser et al. 10.1080/24694452.2021.1985956
26. Field Observations of Alongshore Runup Variability Under Dissipative Conditions in the Presence of a Shoreline Sandwave N. Senechal et al. 10.1029/2018JC014109
27. Modeling Ocean Swell and Overtopping Waves: Understanding Wave Shoaling with Varying Seafloor Topographies C. Wong & K. Chow 10.3390/jmse12081368
28. Numerical Assessment of Infragravity Swash Response to Offshore Wave Frequency Spread Variability A. Ruju et al. 10.1029/2019JC015063
29. A novel approach to the classification of terrestrial drainage networks based on deep learning and preliminary results on solar system bodies C. Donadio et al. 10.1038/s41598-021-85254-x