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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:

Application of Group Method of Data Handling on the Ultimate Conditions’ Prediction of FRP-Confined Concrete Cylinders
Chubing Deng, Ruiliang Zhang, Xinhua Xue
Polymers (2022) Vol. 14, Iss. 17, pp. 3615-3615
Open Access | Times Cited: 10

Showing 10 citing articles:

Machine-Learning Methods for Estimating Performance of Structural Concrete Members Reinforced with Fiber-Reinforced Polymers
Farzin Kazemi, Neda Asgarkhani, Torkan Shafighfard, et al.
Archives of Computational Methods in Engineering (2024)
Open Access | Times Cited: 30
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
Machine learning-based prediction of optimal GFRP thickness for enhanced circular concrete column confinement
Imane Djafar-Henni, Amina Sadouki
Multiscale and Multidisciplinary Modeling Experiments and Design (2025) Vol. 8, Iss. 3
Closed Access
Mean Limiting Pressure Factors Determination in Contiguous Pile Walls using RAFELA and Nonlinear Regression Models in Spatially Random Soil
Divesh Ranjan Kumar, Sittha Kaorapapong, Warit Wipulanusat, et al.
Results in Engineering (2025), pp. 104436-104436
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
Prediction of the thermal conductivity of rocks using group method of data handling (GMDH)
Shuai Zhang, Ruiliang Zhang
Geothermics (2023) Vol. 115, pp. 102823-102823
Closed Access | Times Cited: 5
Investigation of motion characteristics of catastrophic landslide using material point method and gene expression programming
Ruiliang Zhang, Xinhua Xue, Chubing Deng
International Journal of Rock Mechanics and Mining Sciences (2023) Vol. 170, pp. 105507-105507
Closed Access | Times Cited: 3
The Efficiency of Using Machine Learning Techniques in Fiber-Reinforced-Polymer Applications in Structural Engineering
Mohammad Alhusban, Mohannad Alhusban, Ayah A. Alkhawaldeh
Sustainability (2023) Vol. 16, Iss. 1, pp. 11-11
Open Access | Times Cited: 3
Estimation of confined compressive strength of LRS‐FRP concrete specimens with computational intelligence
Sleek Chang, Harish Chandra Arora, Aman Kumar, et al.
ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik (2024) Vol. 104, Iss. 10
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
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