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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:

Regression-Based Models for Predicting Discharge Coefficient of Triangular Side Orifice
Mohamed Kamel Elshaarawy, Aliaa Hamed, Saad Hamed
Journal of Engineering Research - Egypt/Journal of Engineering Research (2023) Vol. 7, Iss. 5, pp. 224-231
Open Access | Times Cited: 17

Showing 17 citing articles:

Machine learning and interactive GUI for concrete compressive strength prediction
Mohamed Kamel Elshaarawy, Mostafa M. Alsaadawi, Abdelrahman Kamal Hamed
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 41
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: 22
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: 20
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: 19
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: 18
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: 8
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 | Times Cited: 3
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 | Times Cited: 3
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 | Times Cited: 2
Predicting seepage losses from lined irrigation canals using machine learning models
Mohamed Galal Eltarabily, Hany F. Abd‐Elhamid, Martina Zeleňáková, et al.
Frontiers in Water (2023) Vol. 5
Open Access | Times Cited: 30
Predicting discharge coefficient of triangular side orifice using ANN and GEP models
Mohamed Kamel Elshaarawy, Abdelrahman Kamal Hamed
Water Science (2023) Vol. 38, Iss. 1, pp. 1-20
Open Access | Times Cited: 29
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: 11
Hydraulic assessment of different types of piano key weirs
Mohamed Galal Eltarabily, Abdelrahman Kamal Hamed, Mohamed Elkiki, et al.
ISH Journal of Hydraulic Engineering (2024), pp. 1-24
Closed Access | Times Cited: 9
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 | Times Cited: 1
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: 6
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
Acclimatize experimental approach to adjudicate hydraulic coefficients under different bed material configurations and slopes with and without weir
Ayalkie Belete Amsie, Abebe Temesgen Ayalew, Zerihun Makayno Mada, et al.
Heliyon (2024) Vol. 10, Iss. 11, pp. e32162-e32162
Open Access | Times Cited: 1
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