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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 compressive strength of fiber-reinforced polymers-confined cylindrical concrete using artificial intelligence methods
Faride Jamali, Seyed Roohollah Mousavi, Abdolhamid Bahr Peyma, et al.
Journal of Reinforced Plastics and Composites (2022) Vol. 41, Iss. 17-18, pp. 679-704
Closed Access | Times Cited: 15

Showing 15 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
Strength models of near-surface mounted (NSM) fibre-reinforced polymer (FRP) shear-strengthened RC beams based on machine learning approaches
Ke Yan, S.S. Zhang, M.J. Jedrzejko, et al.
Composite Structures (2024) Vol. 337, pp. 118045-118045
Closed Access | Times Cited: 8
Development of a Reliable Machine Learning Model to Predict Compressive Strength of FRP-Confined Concrete Cylinders
Prashant Kumar, Harish Chandra Arora, Alireza Bahrami, et al.
Buildings (2023) Vol. 13, Iss. 4, pp. 931-931
Open Access | Times Cited: 17
Prediction of compressive strength of FRP-confined concrete using machine learning: A novel synthetic data driven framework
Sixiong Zeng, Xin Wang, Luqing Hua, et al.
Journal of Building Engineering (2024) Vol. 94, pp. 109918-109918
Closed Access | Times Cited: 6
Application of machine learning in polyimide structure design and property regulation
Wenjia Huo, Haiyue Wang, Liying Guo, et al.
High Performance Polymers (2025)
Closed Access
Calibrating equations to predict the compressive strength of FRP-Confined columns using optimized neural network model
Hamid Khodadadi Koodiani, Negar Erfanian, Arsalan Majlesi, et al.
Structures (2023) Vol. 56, pp. 105060-105060
Closed Access | Times Cited: 13
Estimating the compressive strength of plastic concrete samples using machine learning algorithms
Ali Alishvandi, Javad Karimi, Siavash Damari, et al.
Asian Journal of Civil Engineering (2023)
Closed Access | Times Cited: 4
Comparative Analysis of Automated Machine Learning and Optimized Conventional Machine Learning for Concrete’s Uniaxial Compressive Strength Prediction
Chukwuemeka Daniel
Advances in Civil Engineering (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 1
Performance Evaluation of an Improved ANFIS Approach Using Different Algorithms to Predict the Bonding Strength of Glulam Adhered by Modified Soy Protein–MUF Resin Adhesive
Morteza Nazerian, Fatemeh Naderi, Antonios N. Papadopoulos
Journal of Composites Science (2023) Vol. 7, Iss. 3, pp. 93-93
Open 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
Sustainably produced concrete using weathered Linz-Donawitz slag as a fine aggregate Substitute: A comprehensive study with Artificial intelligence approach
Pavitar Singh, Heaven Singh, A.B. Danie Roy
Structures (2023) Vol. 54, pp. 964-980
Closed Access | Times Cited: 2
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
Prediction of confined compressive strength of concrete column strengthened with FRCM composites
Prashant Kumar, Harish Chandra Arora, R. Siva Chidambaram, et al.
Structural Concrete (2024)
Closed Access
Shear capacity of slender FRP-RC beams utilizing a hybrid ANN with the firefly optimizer
Yasser Sharifi, Nematullah Zafarani
Journal of Reinforced Plastics and Composites (2024)
Closed Access
The Material Heterogeneity Effect on the Local Resistance of Pultruded GFRP Columns
Yongcheng Zhu, Viktor Gribniak, Chaofeng Ding, et al.
Materials (2023) Vol. 17, Iss. 1, pp. 153-153
Open Access | Times Cited: 1
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