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:

Machine learning models for predicting water quality index: optimization and performance analysis for El Moghra, Egypt
Mohamed Kamel Elshaarawy, Mohamed Galal Eltarabily
Water Science & Technology Water Supply (2024) Vol. 24, Iss. 9, pp. 3269-3294
Open Access | Times Cited: 19

Showing 19 citing articles:

Stacked ensemble model for optimized prediction of triangular side orifice discharge coefficient
Mohamed Kamel Elshaarawy, Abdelrahman Kamal Hamed
Engineering Optimization (2024), pp. 1-31
Closed Access | Times Cited: 19

Stacked-based machine learning to predict the uniaxial compressive strength of concrete materials
Abdelrahman Kamal Hamed, Mohamed Kamel Elshaarawy, Mostafa M. Alsaadawi
Computers & Structures (2025) Vol. 308, pp. 107644-107644
Closed Access | Times Cited: 2

Modeling hydraulic jump roller length on rough beds: a comparative study of ANN and GEP models
Mohamed Kamel Elshaarawy, Abdelrahman Kamal Hamed
Deleted Journal (2025)
Open Access | Times Cited: 2

Predicting seawater intrusion wedge length in coastal aquifers using hybrid gradient boosting techniques
Mohamed Kamel Elshaarawy, Asaad M. Armanuos
Earth Science Informatics (2025) Vol. 18, Iss. 2
Open Access | Times Cited: 2

Stacked-based hybrid gradient boosting models for estimating seepage from lined canals
Mohamed Kamel Elshaarawy
Journal of Water Process Engineering (2025) Vol. 70, pp. 106913-106913
Closed Access | Times Cited: 1

Enhanced energy dissipation prediction in modified semi-cylindrical weirs using machine learning techniques
Ehsan Afaridegan, Reza Fatahi-Alkouhi, Soudabeh Khalilian, et al.
Modeling Earth Systems and Environment (2025) Vol. 11, Iss. 2
Closed Access | Times Cited: 1

Determining Seepage Loss Predictions in Lined Canals Through Optimizing Advanced Gradient Boosting Techniques
Mohamed Kamel Elshaarawy, Nanes Hassanin Elmasry, Tarek Selim, et al.
Water Conservation Science and Engineering (2024) Vol. 9, Iss. 2
Closed Access | Times Cited: 14

Enhancing Discharge Prediction over Type-A Piano Key Weirs: An Innovative Machine Learning Approach
Wei‐Ming Tian, Haytham F. Isleem, Abdelrahman Kamal Hamed, et al.
Flow Measurement and Instrumentation (2024) Vol. 100, pp. 102732-102732
Closed Access | Times Cited: 14

Soft computing approaches for forecasting discharge over symmetrical piano key weirs
Abdelrahman Kamal Hamed, Mohamed Kamel Elshaarawy
AI in Civil Engineering (2025) Vol. 4, Iss. 1
Open Access | Times Cited: 1

Machine learning and interactive GUI for estimating roller length of hydraulic jumps
Mohamed Kamel Elshaarawy, Abdelrahman Kamal Hamed
Neural Computing and Applications (2024)
Closed Access | Times Cited: 6

Granite porosity prediction under varied thermal conditions using machine learning models
Rishabh Dwivedi, Balbir Prasad, P. K. Gautam, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 2
Closed Access

Advanced predictive machine and deep learning models for round-ended CFST column
Feng Shen, Ishan Jha, Haytham F. Isleem, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Machine learning-based prediction of elliptical double steel columns under compression loading
Rende Mu, Haytham F. Isleem, Walaa J. K. Almoghaye, et al.
Journal Of Big Data (2025) Vol. 12, Iss. 1
Open Access

Machine learning for the prediction of the axial load‐carrying capacity of FRP reinforced hollow concrete column
Jie Zhang, Walaa J. K. Almoghayer, Haytham F. Isleem, et al.
Structural Concrete (2025)
Closed Access

Metaheuristic-driven CatBoost model for accurate seepage loss prediction in lined canals
Mohamed Kamel Elshaarawy
Multiscale and Multidisciplinary Modeling Experiments and Design (2025) Vol. 8, Iss. 5
Open Access

Prediction of ultimate strength and strain in FRP wrapped oval shaped concrete columns using machine learning
Li Shang, Haytham F. Isleem, Walaa J. K. Almoghayer, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Experimental and Numerical Modeling of Seepage in Trapezoidal Channels
Mohamed Kamel Elshaarawy, Nanes Hassanin Elmasry
Knowledge-Based Engineering and Sciences (2024) Vol. 5, Iss. 3, pp. 43-60
Closed Access | Times Cited: 3

Modeling Boro Rice Water Requirements and Irrigation Schedules in Mymensingh, Bangladesh, under Subtropical Climate Change
Md. Touhidul Islam, M. Shalehin, Nusrat Jahan, et al.
Results in Engineering (2024), pp. 103665-103665
Open Access | Times Cited: 1

Evaluation and prediction of fracture energy of fiber reinforced geopolymer concrete
Ngoc Thanh Tran, Quang Thanh Tran, Huy Viet Le, et al.
European Journal of Environmental and Civil engineering (2024), pp. 1-23
Closed Access

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