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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:

Prediction of the axial compressive strength of circular concrete-filled steel tube columns using sine cosine algorithm-support vector regression
Fei Lyu, Xinyu Fan, Faxing Ding, et al.
Composite Structures (2021) Vol. 273, pp. 114282-114282
Closed Access | Times Cited: 53

Showing 1-25 of 53 citing articles:

Machine learning for structural engineering: A state-of-the-art review
Huu‐Tai Thai
Structures (2022) Vol. 38, pp. 448-491
Closed Access | Times Cited: 368
Predicting tunnel squeezing using support vector machine optimized by whale optimization algorithm
Jian Zhou, Shuangli Zhu, Yingui Qiu, et al.
Acta Geotechnica (2022) Vol. 17, Iss. 4, pp. 1343-1366
Closed Access | Times Cited: 110
Artificial Intelligence in Predicting Mechanical Properties of Composite Materials
Fasikaw Kibrete, Tomasz Trzepieciński, Hailu Shimels Gebremedhen, et al.
Journal of Composites Science (2023) Vol. 7, Iss. 9, pp. 364-364
Open Access | Times Cited: 56
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
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: 2
Prediction of axial compressive capacity of CFRP-confined concrete-filled steel tubular short columns based on XGBoost algorithm
Lu Ma, Changlin Zhou, Dongkyu Lee, et al.
Engineering Structures (2022) Vol. 260, pp. 114239-114239
Closed Access | Times Cited: 54
A comprehensive and reliable investigation of axial capacity of Sy-CFST columns using machine learning-based models
Armin Memarzadeh, Hassan Sabetifar, Mahdi Nematzadeh
Engineering Structures (2023) Vol. 284, pp. 115956-115956
Closed Access | Times Cited: 27
Artificial neural network model for strength predictions of CFST columns strengthened with CFRP
Mohammadreza Zarringol, Vipulkumar Ishvarbhai Patel, Qing Quan Liang
Engineering Structures (2023) Vol. 281, pp. 115784-115784
Open Access | Times Cited: 25
Data-driven prediction and optimization of axial compressive strength for FRP-reinforced CFST columns using synthetic data augmentation
Kaihua Liu, Tianyu Xie, Zhong-Kui Cai, et al.
Engineering Structures (2023) Vol. 300, pp. 117225-117225
Closed Access | Times Cited: 24
Prediction of bond strength of reinforced concrete structures based on feature selection and GWO-SVR model
Congcong Fan, Yuanxun Zheng, Shaoqiang Wang, et al.
Construction and Building Materials (2023) Vol. 400, pp. 132602-132602
Closed Access | Times Cited: 22
Supervised and unsupervised machine learning techniques for predicting mechanical properties of coconut fiber reinforced concrete
Veena Kashyap, Ahmad Alyaseen, Arunava Poddar
Asian Journal of Civil Engineering (2024) Vol. 25, Iss. 5, pp. 3879-3899
Closed Access | Times Cited: 10
Predicting corrosion of recycled aggregate concrete under sulfuric acid rain using machine learning and uncertainty analysis
Omid Bamshad, Babak Jamhiri, Alireza Habibi, et al.
Construction and Building Materials (2024) Vol. 438, pp. 137146-137146
Closed Access | Times Cited: 8
Experimental evaluation, modeling and sensitivity analysis of temperature and cutting force in bone micro-milling using support vector regression and EFAST methods
Amir Hossein Rabiee, Vahid Tahmasbi, M. Qasemi
Engineering Applications of Artificial Intelligence (2023) Vol. 120, pp. 105874-105874
Closed Access | Times Cited: 18
Probabilistic machine leaning models for predicting the maximum displacements of concrete-filled steel tubular columns subjected to lateral impact loading
Dade Lai, Cristoforo Demartino, Yan Xiao
Engineering Applications of Artificial Intelligence (2024) Vol. 135, pp. 108704-108704
Closed Access | Times Cited: 5
Coupling Beams’ Shear Capacity Prediction by Hybrid Support Vector Regression and Particle Swarm Optimization
Emad A. Abood, Mustafa Kamal Al-Kamal, Sabih Hashim Muhodir, et al.
Buildings (2025) Vol. 15, Iss. 2, pp. 191-191
Open Access
Machine learning methods for compression capacity prediction and sensitivity analysis of concrete-filled steel tubular columns: State-of-the-art review
Bohan Zhang, Yang Yu, Shanchang Yi, et al.
Structures (2025) Vol. 72, pp. 108259-108259
Open Access
Machine learning for design, optimization and assessment of steel-concrete composite structures: A review
Xianlin Wang, Bozhou Zhuang, Danny Smyl, et al.
Engineering Structures (2025) Vol. 328, pp. 119652-119652
Closed Access
Explainable AutoML models for predicting the strength of high-performance concrete using Optuna, SHAP and ensemble learning
Muhammad Salman Khan, Tianbo Peng, Muhammad Adeel Khan, et al.
Frontiers in Materials (2025) Vol. 12
Open Access
Numerical simulation and data-driven study on the axial compression bearing capacity of steel reactive powder concrete columns
Guoqiang Du, Yan Sun, Xiaoniu Yu, et al.
Journal of Building Engineering (2025), pp. 112061-112061
Closed Access
Deep learning-based modelling of polyvinyl chloride tube-confined concrete columns under different load eccentricities
Li Shang, Haytham F. Isleem, Mostafa M. Alsaadawi
Engineering Applications of Artificial Intelligence (2025) Vol. 145, pp. 110217-110217
Closed Access
Modeling of concrete-filled PVC tube columns confined with CFRP strips under uniaxial eccentric compression: machine learning and finite element approaches
Yan Wang, Maha El-Meligy, Haytham F. Isleem, et al.
Journal Of Big Data (2025) Vol. 12, Iss. 1
Open Access
Intelligent design of web-stiffened cold-formed steel channel beam section oriented by load-carrying efficiency
Liping Wang, Xinzhuo Jiang, Wei Guo, et al.
Structures (2025) Vol. 74, pp. 108571-108571
Closed Access
Performance of Stainless Steel Tubular Circular Columns with Axially-Loaded Concrete
A. Mohan, Kiran Kumar Maguluri, Zakera Yasmeen, et al.
(2025)
Closed Access
Reliability-based quantification of the benefits of machine learning predictive models in seismic structural design and performance assessment
Muneera A. Aladsani, Henry Burton
Structural Safety (2025), pp. 102596-102596
Closed Access
Probabilistic axial capacity model for concrete-filled steel tubes accounting for load eccentricity and debonding
Alessandro Contento, Angelo Aloisio, Junqing Xue, et al.
Engineering Structures (2022) Vol. 268, pp. 114730-114730
Closed Access | Times Cited: 23
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