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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:

Modeling surface water and groundwater interactions for seepage losses estimation from unlined and lined canals
Mohamed Galal Eltarabily, Mohamed Kamel Elshaarawy, Mohamed Elkiki, et al.
Water Science (2023) Vol. 37, Iss. 1, pp. 315-328
Open Access | Times Cited: 24

Showing 24 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
Numerical and machine learning modeling of GFRP confined concrete-steel hollow elliptical columns
Haytham F. Isleem, Qiong Tang, Mostafa M. Alsaadawi, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 31
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
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: 7
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: 4
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
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
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
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
Climate change impact on Ethiopian alluvial groundwater
Tesema Kebede Seifu, Gera Techane
Arabian Journal of Geosciences (2025) Vol. 18, Iss. 4
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
Transmission Water Losses at South African Irrigation Schemes: A Case Study of the Vaalharts Irrigation Scheme
Macdex Mutema, M. C. Sekgala, S. Vorster, et al.
Irrigation and Drainage (2025)
Open Access
Predicting axial load capacity in elliptical fiber reinforced polymer concrete steel double skin columns using machine learning
F. T. S. Yu, Haytham F. Isleem, Walaa J K Almoghayer, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Hydrogeological modeling of the Salto-Arapey aquifer system: A tool to understand connectivity and improve management
Armando Alexis Borrero-Hernandez, Pablo Gamazo, J.M.F. Ramos, et al.
Water Science (2025) Vol. 39, Iss. 1, pp. 346-370
Open Access
Assessing the impacts of canal rehabilitation and lining on groundwater conditions
Eman R. Nofal, Amany T. Eid, Wedad Morsy, et al.
Water Science (2024) Vol. 38, Iss. 1, pp. 348-358
Open Access | Times Cited: 2
Forecasting daily rainfall in a humid subtropical area: an innovative machine learning approach
Miran Hikmat Mohammed, Sarmad Dashti Latif
Journal of Hydroinformatics (2024) Vol. 26, Iss. 7, pp. 1661-1672
Open Access | Times Cited: 2
Numerical estimation of the equivalent hydraulic conductivity for canal concrete lining with cracks
Xudong Han, Yan Zhu, Xiugui Wang, et al.
Journal of Hydrology (2024) Vol. 633, pp. 131050-131050
Closed Access | Times Cited: 1
The investigation of the seepage condition of an upstream cofferdam with computer simulations and field observations (the case study: Inandik Dam-Turkey)
Emrah Erdem, Ersin Kolay, Fatih Serdar YILDIRIM, et al.
Environmental Earth Sciences (2024) Vol. 83, Iss. 20
Closed Access
Direct Meshless Method for Stable Seepage Flow Calculation
Jiale Li, Zhongliang Zhang, Yuan Mei, et al.
Journal of Physics Conference Series (2024) Vol. 2890, Iss. 1, pp. 012005-012005
Open Access
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