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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Enhanced wave overtopping simulation at vertical breakwaters using machine learning algorithms
M. A. Habib, John O’Sullivan, Soroush Abolfathi, et al.
PLoS ONE (2023) Vol. 18, Iss. 8, pp. e0289318-e0289318
Open Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

Evaluation of water quality indexes with novel machine learning and SHapley Additive ExPlanation (SHAP) approaches
Ali Aldrees, Majid Khan, Abubakr Taha Bakheit Taha, et al.
Journal of Water Process Engineering (2024) Vol. 58, pp. 104789-104789
Closed Access | Times Cited: 59
Predicting the hydraulic response of critical transport infrastructures during extreme flood events
Seyed Mehran Ahmadi, Saeed Balahang, Soroush Abolfathi
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108573-108573
Open Access | Times Cited: 37
Efficient data-driven machine learning models for scour depth predictions at sloping sea defences
M. A. Habib, Soroush Abolfathi, John O’Sullivan, et al.
Frontiers in Built Environment (2024) Vol. 10
Open Access | Times Cited: 23
Reliable water quality prediction and parametric analysis using explainable AI models
M. K. Nallakaruppan, E. Gangadevi, M. Lawanya Shri, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 21
Evaluating empirical and machine learning approaches for reference evapotranspiration estimation using limited climatic variables in Nepal
Erica Shrestha, Suyog Poudyal, Anup Ghimire, et al.
Results in Engineering (2025), pp. 104254-104254
Open Access | Times Cited: 1
Investigating Appropriate Artificial Intelligence Approaches to Reliably Predict Coastal Wave Overtopping and Identify Process Contributions
Michael McGlade, Nieves G. Valiente, Jennifer Brown, et al.
Ocean Modelling (2025), pp. 102510-102510
Closed Access | Times Cited: 1
Quantifying pluvial flood simulation in ungauged urban area; A case study of 2022 unprecedented pluvial flood in Karachi, Pakistan
Umair Rasool, Xinan Yin, Zongxue Xu, et al.
Journal of Hydrology (2025), pp. 132905-132905
Closed Access | Times Cited: 1
A multi-fidelity deep operator network (DeepONet) for fusing simulation and monitoring data: Application to real-time settlement prediction during tunnel construction
Xu Chen, Ba Trung Cao, Yong Yuan, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108156-108156
Open Access | Times Cited: 11
Application of response surface and artificial neural network optimization approaches for exploring methylene blue adsorption using luffa fiber treated with sodium chlorite
L. Natrayan, V. R. Niveditha, V. Swamy Nadh, et al.
Journal of Water Process Engineering (2024) Vol. 58, pp. 104778-104778
Closed Access | Times Cited: 9
Modeling wave dynamics with coastal vegetation using a smoothed particle hydrodynamics porous flow model
Mohammadreza Torabbeigi, Hassan Akbari, Mohammad Adibzade, et al.
Ocean Engineering (2024) Vol. 311, pp. 118756-118756
Open Access | Times Cited: 9
Predicting effluent quality parameters for wastewater treatment plant: A machine learning-based methodology
João Vitor Rios Fuck, Maria Alice Prado Cechinel, Juliana Neves, et al.
Chemosphere (2024) Vol. 352, pp. 141472-141472
Closed Access | Times Cited: 6
Improved prediction of wave overtopping rates at vertical seawalls with recurve retrofitting
S. Dong, M. Salauddin, Soroush Abolfathi, et al.
Ocean Engineering (2024) Vol. 302, pp. 117647-117647
Open Access | Times Cited: 6
Benchmarking the performance and uncertainty of machine learning models in estimating scour depth at sluice outlets
Xuan-Hien Le, Le Thi Thu Hien, Hung Viet Ho, et al.
Journal of Hydroinformatics (2024) Vol. 26, Iss. 7, pp. 1572-1588
Open Access | Times Cited: 6
Forecasting influent wastewater quality by chaos coupled machine learning optimized with Bayesian algorithm
D. H. S. Ramkumar, V. Jothiprakash
Journal of Water Process Engineering (2024) Vol. 61, pp. 105306-105306
Closed Access | Times Cited: 5
Estimation of grassland aboveground biomass in northern China based on topography-climate-remote sensing data
Yuwei Yao, Hongrui Ren
Ecological Indicators (2024) Vol. 165, pp. 112230-112230
Open Access | Times Cited: 4
Correction: Enhanced wave overtopping simulation at vertical breakwaters using machine learning algorithms

PLoS ONE (2025) Vol. 20, Iss. 2, pp. e0318948-e0318948
Open Access
Application of Self-Flow Controllable Grouting and Underwater Concrete Technologies for Enhancing the Wave-Damping and Scour Resistance of Cemented Riprap Breakwaters
Songgui Chen, Baizhi Wang, Zhao Hong, et al.
Case Studies in Construction Materials (2025) Vol. 22, pp. e04473-e04473
Open Access
Prediction of suspended sediment concentration in fluvial flows using novel hybrid deep learning algorithms
Sadra Shadkani, Yousef Hemmatzadeh, Amirreza Pak, et al.
International Journal of Sediment Research (2025)
Open Access
Advancing flood risk assessment: Multitemporal SAR-based flood inventory generation using transfer learning and hybrid fuzzy-AHP-machine learning for flood susceptibility mapping in the Mahananda River Basin
Chiranjit Singha, Satiprasad Sahoo, Alireza Bahrami Mahtaj, et al.
Journal of Environmental Management (2025) Vol. 380, pp. 124972-124972
Open Access
Assessing climate change and human impacts on runoff and hydrological droughts in the Yellow River Basin using a machine learning-enhanced hydrological modeling approach
Lei Wang, Li Yi, Asim Biswas, et al.
Journal of Environmental Management (2025) Vol. 380, pp. 125091-125091
Closed Access
Wave overtopping of a vertical seawall in a surf zone: A joint analysis of numerical and laboratory data
Mariano Buccino, Angela Di Leo, Sara Tuozzo, et al.
Ocean Engineering (2023) Vol. 288, pp. 116144-116144
Closed Access | Times Cited: 10
Simulation of Flood Inundation Extent by Integration of HEC-HMS, GA-based Rating Curve and Cost Distance Analysis
Sagar Debbarma, Subhajit Dey, Arnab Bandyopadhyay, et al.
Water Resources Management (2024) Vol. 38, Iss. 4, pp. 1397-1417
Closed Access | Times Cited: 3
Physics-informed neural networks for solving flow problems modeled by the 2D Shallow Water Equations without labeled data
Xin Qi, Gustavo A. M. de Almeida, Sergio Maldonado
Journal of Hydrology (2024) Vol. 636, pp. 131263-131263
Open Access | Times Cited: 3
Comprehensive river water quality monitoring using convolutional neural networks and gated recurrent units: A case study along the Vaigai River
T S Geetha, G. Gandhimathi, C. Chellaswamy, et al.
Journal of Environmental Management (2024) Vol. 365, pp. 121567-121567
Closed Access | Times Cited: 3
Integrating deep learning techniques for effective river water quality monitoring and management
C. Chellaswamy, Sriram Anbalagan, S. Dilipkumar, et al.
Journal of Environmental Management (2024) Vol. 370, pp. 122477-122477
Closed Access | Times Cited: 3
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