26 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. The role of frequency spread on swash dynamics J. Montaño et al. 10.1007/s00367-019-00591-1
4. Wave Run-Up on Mortar-Grouted Riprap Revetments M. Kreyenschulte et al. 10.3390/w12123396
5. An Experimental Research on the Use of Recurrent Neural Networks in Landslide Susceptibility Mapping B. Mutlu et al. 10.3390/ijgi8120578
6. On the prediction of runup, setup and swash on beaches P. Gomes da Silva et al. 10.1016/j.earscirev.2020.103148
7. 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
8. Hotspot dune erosion on an intermediate beach N. Cohn et al. 10.1016/j.coastaleng.2021.103998
9. Ecosystem services of reed and seagrass debris on a urban Mediterranean beach (Poetto, Italy) A. Ruju et al. 10.1016/j.ecss.2022.107862
10. Climate change and coastal morphodynamics: Interactions on regional scales P. Chowdhury et al. 10.1016/j.scitotenv.2023.166432
11. Blind testing of shoreline evolution models J. Montaño et al. 10.1038/s41598-020-59018-y
12. A predictive equation for wave setup using genetic programming C. Dalinghaus et al. 10.5194/nhess-23-2157-2023
13. Filling Missing and Extending Significant Wave Height Measurements Using Neural Networks and an Integrated Surface Database D. Bujak et al. 10.3390/wind3020010
14. 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
15. A review of machine learning applications to coastal sediment transport and morphodynamics E. Goldstein et al. 10.1016/j.earscirev.2019.04.022
16. Ensemble models from machine learning: an example of wave runup and coastal dune erosion T. Beuzen et al. 10.5194/nhess-19-2295-2019
17. Analysis of the contributing factors to infragravity swash based on long-term observations Y. Matsuba & T. Shimozono 10.1016/j.coastaleng.2021.103957
18. Implications of sea-level rise for overwash enhancement at South Portugal Ó. Ferreira et al. 10.1007/s11069-021-04917-0
19. Review on Applications of Machine Learning in Coastal and Ocean Engineering T. Kim & W. Lee 10.26748/KSOE.2022.007
20. Storm Waves at the Shoreline: When and Where Are Infragravity Waves Important? O. Billson et al. 10.3390/jmse7050139
21. The Contribution of Wind-Generated Waves to Coastal Sea-Level Changes G. Dodet et al. 10.1007/s10712-019-09557-5
22. Extraction of urban built-up areas from nighttime lights using artificial neural network T. Xu et al. 10.1080/10106049.2018.1559887
23. The Field Geomorphologist in a Time of Artificial Intelligence and Machine Learning C. Houser et al. 10.1080/24694452.2021.1985956
24. Field Observations of Alongshore Runup Variability Under Dissipative Conditions in the Presence of a Shoreline Sandwave N. Senechal et al. 10.1029/2018JC014109
25. Numerical Assessment of Infragravity Swash Response to Offshore Wave Frequency Spread Variability A. Ruju et al. 10.1029/2019JC015063
26. 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