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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:

Data-driven PSO-CatBoost machine learning model to predict the compressive strength of CFRP- confined circular concrete specimens
Nima Khodadadi, Hossein Roghani, Francisco De Caso, et al.
Thin-Walled Structures (2024) Vol. 198, pp. 111763-111763
Closed Access | Times Cited: 16

Showing 16 citing articles:

Predicting the compressive strength of CFRP-confined concrete using deep learning
Ali Benzaamia, Mohamed Ghrici, Redouane Rebouh, et al.
Engineering Structures (2024) Vol. 319, pp. 118801-118801
Closed Access | Times Cited: 8
Prediction of constitutive model for basalt fiber reinforced concrete based on PSO-KNN
Meng Zhu, Jiajian Lin, Guangyong Cao, et al.
Heliyon (2024) Vol. 10, Iss. 11, pp. e32240-e32240
Open Access | Times Cited: 5
Boosting-Based Machine Learning Applications in Polymer Science: A Review
Ivan Malashin, В С Тынченко, Andrei Gantimurov, et al.
Polymers (2025) Vol. 17, Iss. 4, pp. 499-499
Open Access
Divine Religions Algorithm: a novel social-inspired metaheuristic algorithm for engineering and continuous optimization problems
Ali Toufanzadeh Mozhdehi, Nima Khodadadi, M.R. Aboutalebi, et al.
Cluster Computing (2025) Vol. 28, Iss. 4
Open Access
Machine Learning Approaches for Predicting Compressive and Shear Strength of EB FRP-Reinforced Concrete Elements: A Comprehensive Review
Ali Benzaamia, Mohamed Ghrici, Redouane Rebouh
Studies in systems, decision and control (2024), pp. 221-249
Closed Access | Times Cited: 2
Regression-classification ensemble machine learning model for loading capacity and bucking mode prediction of cold-formed steel built-up I-section columns
Yan Lu, Bin Wu, Wenchao Li, et al.
Thin-Walled Structures (2024) Vol. 205, pp. 112427-112427
Closed Access | Times Cited: 2
Advanced machine learning techniques for predicting concrete mechanical properties: a comprehensive review of models and methodologies
Fangyuan Li, Md. Sohel Rana, Muhammad Ahmed Qurashi
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 8, Iss. 1
Closed Access | Times Cited: 2
Intelligent prediction framework for axial compressive capacity of FRP-RACFST columns
Qicheng Xu, Junpeng Li, Yingcai Fang, et al.
Materials Today Communications (2024), pp. 110999-110999
Closed Access | Times Cited: 1
Predicting the compressive strength of self-compacting concrete by developed African vulture optimization algorithm-Elman neural networks
Shaoqiang Guo, Honggang Kou, Yuzhang Bi, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Research on IP Node Port Openness Prediction Method Based on PSO-CatBoost
Xiaoxuan Liu, Guozheng Yang, Yi Xie, et al.
Electronics (2024) Vol. 13, Iss. 20, pp. 4036-4036
Open Access
Monopole communication towers strengthened by fiber-reinforced polymer: Experiment, theoretical analysis and implementation
Hongshuai Gao, Xinji Lei, Bing An, et al.
Structures (2024) Vol. 70, pp. 107779-107779
Closed Access
New 3D Shape Descriptor Extraction using CatBoost Classifier for Accurate 3D Model Retrieval
Mohcine Bouksim, Fatima Rafii Zakani, Khadija Arhid, et al.
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 5
Open Access
Stress-strain behaviour of axially loaded FRP-confined natural and recycled aggregate concrete using design-oriented and machine learning approaches
T. E. Dada, Guobin Gong, Jun Xia, et al.
Journal of Building Engineering (2024) Vol. 95, pp. 110256-110256
Closed Access
Experimental and numerical study on the flexural properties of RC beams with different CFRP-strengthened schemes
Yazhou Wang, Hongjuan Zheng, Hongwei Chen, et al.
Journal of Building Engineering (2024), pp. 110734-110734
Closed Access
Finite Element Modeling and Artificial Neural Network Analyses on the Flexural Capacity of Concrete T-Beams Reinforced with Prestressed Carbon Fiber Reinforced Polymer Strands and Non-Prestressed Steel Rebars
Haitao Wang, Xian-jie Liu, Jie Bai, et al.
Buildings (2024) Vol. 14, Iss. 11, pp. 3592-3592
Open Access
Explainable prediction model for punching shear strength of FRP-RC slabs based on kernel density estimation and XGBoost
Sheng Zheng, Tianyu Hu, Nima Khodadadi, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
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