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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:

Machine learning–assisted drift capacity prediction models for reinforced concrete columns with shape memory alloy bars
Chang Seok Lee, Sujith Mangalathu, Jong‐Su Jeon
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 39, Iss. 4, pp. 595-616
Closed Access | Times Cited: 11

Showing 11 citing articles:

Enhancing understanding of asphalt mixture dynamic modulus prediction through interpretable machine learning method
Ke Zhang, Zhaohui Min, Xiatong Hao, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103111-103111
Closed Access | Times Cited: 3
The analytical curvature distribution model of columns and mathematical solution for pushover analysis
Jian Zhong, Yanyan Zhu, Hao Wang
Earthquake Engineering & Structural Dynamics (2024)
Closed Access | Times Cited: 15
Peridynamic-driven feature-enhanced Vision Transformer for predicting defects and heterogeneous materials locations: Applications of deep learning in inverse problems
Yalin Li, Jinwei Guan, Li Guo
Engineering Applications of Artificial Intelligence (2025) Vol. 151, pp. 110677-110677
Closed Access | Times Cited: 1
Digital twin - based model updating method for mechanical behaviors analysis of cable truss structure
Guoliang Shi, Zhansheng Liu, Dechun Lu, et al.
Journal of Constructional Steel Research (2024) Vol. 221, pp. 108917-108917
Closed Access | Times Cited: 7
Quantum‐enhanced machine learning technique for rapid post‐earthquake assessment of building safety
Sanjeev Bhatta, Ji Dang
Computer-Aided Civil and Infrastructure Engineering (2024)
Open Access | Times Cited: 6
Comprehensive assessment of failure mode and shear capacity of reinforced concrete circular columns based on data-driven machine learning methods
Yue Wen, Shengming Zhou, Gaochuang Cai, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 150, pp. 110603-110603
Closed Access
Prediction of hysteretic shapes for reinforced concrete columns using conditional generative adversarial networks
Pengyu Chen, H. Chen
Engineering Analysis with Boundary Elements (2025) Vol. 176, pp. 106244-106244
Closed Access
Seismic design of self-centering prestressed concrete frames with sliding infill walls: Parameter analysis and seismic demand prediction
Ruizhao Zhu, Tong Guo, Tianyu Xie, et al.
Engineering Structures (2025) Vol. 335, pp. 120346-120346
Closed Access
Machine learning deployment for energy monitoring of Internet of Things nodes in smart agriculture
Shemin T. John, Pradip Sarkar, Robin Davis
International Journal of Communication Systems (2024) Vol. 37, Iss. 15
Closed Access
Deep learning-based ground motion inversion through recursive structural acceleration response using DRA-LSTM Net
Ali Zar, Shuang Li, Changqing Li, et al.
Engineering Structures (2024) Vol. 323, pp. 119132-119132
Closed Access
Experimental and Transformer-Based Study on Seismic Behavior and Plastic Hinge Length of RC Columns Reinforced with End-Fixed Ultra-High Strength Rebars
Yue Wen, Gaochuang Cai, Prafulla Bahadur Malla
Buildings (2024) Vol. 14, Iss. 10, pp. 3046-3046
Open Access
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