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 and nonlinear finite element analysis of fiber‐reinforced polymer‐confined concrete‐steel double‐skin tubular columns under axial compression
Haytham F. Isleem, Qiong Tang, Naga Dheeraj Kumar Reddy Chukka, et al.
Structural Concrete (2024)
Closed Access | Times Cited: 14

Showing 14 citing articles:

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: 24

Numerical and machine learning models for concentrically and eccentrically loaded CFST columns confined with FRP wraps
Chi Xu, Ying Zhang, Haytham F. Isleem, et al.
Structural Concrete (2024)
Closed Access | Times Cited: 7

Utilization finite element and machine learning methods to investigation the axial compressive behavior of elliptical FRP-confined concrete columns
Chen Yue, Haytham F. Isleem, Diyar N. Qader, et al.
Structures (2024) Vol. 70, pp. 107681-107681
Closed Access | Times Cited: 6

Comparison of experimental and analytical studies in light gauge steel sections on CFST using SFRC in beams subjected to high temperatures
Christo George, Rakesh Kumar, H. K. Ramaraju
Asian Journal of Civil Engineering (2024)
Closed Access | Times Cited: 5

Predicting the compressive strength of polymer-infused bricks: A machine learning approach with SHAP interpretability
S. Sathvik, Rakesh Kumar, Archudha Arjunasamy, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Investigating the compression behavior of concrete‐filled double‐skin steel elliptical tubular columns by a fusion of finite element analysis and machine learning
Wei‐Ming Tian, Haytham F. Isleem, Naga Dheeraj Kumar Reddy Chukka, et al.
Structural Concrete (2025)
Closed Access

Mechanical Characterization of 3D Printed Fiber-Reinforced Composite Structures for Reinforcement Learning-Aided Design
Goan Woo Hyun, Ju Chan Yuk, Suk-Hee Park
International Journal of Precision Engineering and Manufacturing (2025)
Closed Access

Machine learning approach for predicting the compressive strength of biomedical waste ash in concrete: a sustainability approach
Rakesh Kumar, Shishir Karthik, Abhishek Kumar, et al.
Discover Materials (2025) Vol. 5, Iss. 1
Open Access

Enhancing urban sustainability: a study on lightweight and pervious concrete incorporating recycled plastic
S. Sathvik, Pathapati Rohithkumar, Pshtiwan Shakor, et al.
Discover Sustainability (2024) Vol. 5, Iss. 1
Open Access | Times Cited: 3

Stress-strain modelling of circular concrete-filled FRP–steel composite tube columns under axial compression load
Asmaa Hamed, M.F. Hassanein, Mohamed Abdel-Shakour Hasan
Structures (2024) Vol. 67, pp. 107040-107040
Closed Access | Times Cited: 1

Ultimate stress increment in unbonded tendons for prestressed steel reinforced concrete beams
Gangfeng Yao, Zhiyuan Xia, Xueyu Xiong
Structures (2024) Vol. 70, pp. 107753-107753
Closed Access

Extraction and characterization of the structural, chemical, and physical properties of Phyllanthus reticulatus fibers
Faisal Ahmed, Md. Reazuddin Repon, Arnob Dhar Pranta, et al.
Next research. (2024) Vol. 2, Iss. 1, pp. 100110-100110
Closed Access

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