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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:

Parametric investigation of rectangular CFRP-confined concrete columns reinforced by inner elliptical steel tubes using finite element and machine learning models
Haytham F. Isleem, Besukal Befikadu Zewudie, Alireza Bahrami, et al.
Heliyon (2023) Vol. 10, Iss. 2, pp. e23666-e23666
Open Access | Times Cited: 24

Showing 24 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: 27
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: 17
Modelling the mechanical properties of concrete produced with polycarbonate waste ash by machine learning
S. Sathvik, Rakesh Kumar, Néstor Ulloa, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 16
Prediction of mechanical properties of high‐performance concrete and ultrahigh‐performance concrete using soft computing techniques: A critical review
Rakesh Kumar, Baboo Rai, Pijush Samui
Structural Concrete (2024)
Closed Access | Times Cited: 16
Development of hybrid gradient boosting models for predicting the compressive strength of high-volume fly ash self-compacting concrete with silica fume
Rakesh Kumar, Shashikant Kumar, Baboo Rai, et al.
Structures (2024) Vol. 66, pp. 106850-106850
Closed Access | Times Cited: 16
Prediction of the Splitting Tensile Strength of Manufactured Sand Based High-Performance Concrete Using Explainable Machine Learning
Rakesh Kumar, Pijush Samui, Baboo Rai
Iranian Journal of Science and Technology Transactions of Civil Engineering (2024) Vol. 48, Iss. 5, pp. 3717-3734
Closed Access | Times Cited: 15
Development of a prediction tool for the compressive strength of ternary blended ultra-high performance concrete using machine learning techniques
Rakesh Kumar, Shubhum Prakash, Baboo Rai, et al.
Journal of Structural Integrity and Maintenance (2024) Vol. 9, Iss. 3
Closed Access | Times Cited: 11
Predicting the fire-induced structural performance of steel tube columns filled with SFRC-enhanced concrete: using artificial neural networks approach
Christo George, Edwin Zumba, María Alexandra Procel Silva, et al.
Frontiers in Built Environment (2024) Vol. 10
Open Access | Times Cited: 8
Analyzing the influence of manufactured sand and fly ash on concrete strength through experimental and machine learning methods
S. Sathvik, Solomon Oyebisi, Rakesh Kumar, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Utilization of numerical and machine learning to predict the monotonic compressive response of square double-skin tubular columns (SDSTC)
Rende Mu, Haytham F. Isleem, Ali Jahami, et al.
Structures (2025) Vol. 72, pp. 108206-108206
Closed Access
Adjacent-NET: Deep learning classification of adjacent buildings for assessing pounding effects using building facade images in earthquake-prone regions
Mehmet Ekici, Amir Yavariabdi, Gamze Doğan, et al.
Structures (2025) Vol. 73, pp. 108332-108332
Closed Access
Research on bias stress characteristics and influencing factors of concrete stacked columns with thin-walled steel tubes restrained by spiral ribs
Zhenshan Wang, Qianli Huang, Jiayi Han, et al.
Journal of Asian Architecture and Building Engineering (2025), pp. 1-24
Open 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
Integrating PCA and XGBoost for Predicting UACLC of Steel-Reinforced Concrete-Filled Square Steel Tubular Columns at Elevated Temperatures
Megha Gupta, Satya Prakash, Sufyan Ghani, et al.
Case Studies in Construction Materials (2025), pp. e04456-e04456
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
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
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
The influence of anchored CFRP on the torsional and bending behavior of sulfate damaged RC beams
Rajai Z. Al‐Rousan, Bara’a R. Alnemrawi
Structures (2024) Vol. 70, pp. 107936-107936
Closed Access | Times Cited: 3
Seismic retrofit of underground structure with large opening using beam-end horizontal haunch
Zhiming Zhang, Yao Gui, Yong Yuan, et al.
Structures (2024) Vol. 69, pp. 107234-107234
Closed Access
A new approach for assessing the contribution of ground motions frequency content and soil-structure interaction to the seismic response of reinforced concrete moment frames
Ali Hassannejad, Amir Bazrafshan Moghaddam
Structures (2024) Vol. 70, pp. 107859-107859
Closed Access
Parametric Investigation of Corner Effect on Soil Nailed Walls and Prediction Using Machine Learning Methods
Semiha POYRAZ, İsa Vural
Applied Sciences (2024) Vol. 14, Iss. 16, pp. 7331-7331
Open Access
Incremental Plastic Analysis of Confined Concrete Considering the Variation of Elastic Moduli
Mohammad Rasouli, Saeed Baghdarnia, Vahid Broujerdian
Iranian Journal of Science and Technology Transactions of Civil Engineering (2024) Vol. 48, Iss. 6, pp. 4521-4538
Closed Access
Numerical investigation of hierarchical composite construction for enhancing toughness and seismic protection of offshore structures
Jibo Sun, Hui Fang, Lun Li
Structures (2024) Vol. 69, pp. 107594-107594
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
Soft Computing for Comprehensive Concrete Strength Prediction – A Comparative Study
S. R. Mugunthan
Journal of Soft Computing Paradigm (2023) Vol. 5, Iss. 4, pp. 417-432
Open Access
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