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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:

Predicting the compressive strength of engineered geopolymer composites using automated machine learning
Mahmoud Anwar Gad, Ehsan Nikbakht, Mohammed Gamal Ragab
Construction and Building Materials (2024) Vol. 442, pp. 137509-137509
Closed Access | Times Cited: 9

Showing 9 citing articles:

Nonlinear Load-Deflection Analysis of Steel Rebar-Reinforced Concrete Beams: Experimental, Theoretical and Machine Learning Analysis
Muhammet Karabulut
Buildings (2025) Vol. 15, Iss. 3, pp. 432-432
Open Access | Times Cited: 2
Data-driven study on the mechanical properties of strain-hardening cementitious composites using algorithm-enhanced interpretable machine learning models and interactive interface development
Xiaoyu Huang, Hongrui Ma, Xuejun Ren, et al.
Materials Today Communications (2025), pp. 112466-112466
Closed Access | Times Cited: 1
Development and optimization of geopolymer concrete with compressive strength prediction using particle swarm-optimized extreme gradient boosting
Shimol Philip, Nidhi Marakkath
Applied Soft Computing (2025), pp. 113149-113149
Closed Access | Times Cited: 1
Analysis of compressive strength of nanostructure pyrolytic carbon enhanced nanocomposite mortar and forecasting using machine learning models
Karthikeyan Kanagasundaram, S. Elavenil, Kalaiarasi Vembu, et al.
Matéria (Rio de Janeiro) (2025) Vol. 30
Open Access
Machine Learning-Driven Flexural Performance Prediction and Experimental Investigation of Glass Fiber-Reinforced Polymer Bar-Reinforced Concrete Beams
Muhammet Karabulut
Polymers (2025) Vol. 17, Iss. 6, pp. 713-713
Open Access
Interpretable machine learning model for performance characterization of lightweight concrete and composition design
Yuyang Zhao, Meng Wang, Jian Wang, et al.
Materials Today Communications (2025), pp. 112266-112266
Closed Access
Investigating horn power and impact of sonication on TiO2@cotton composites with machine learning and computer vision
Muhammad Tayyab Noman, Nesrine Amor, Michal Petrů
Measurement (2025), pp. 117424-117424
Closed Access
The anticipation of compressive strength of geopolymer mortars with tree-based machine learning models: effect of training-testing ratios
Talip Çakmak, İlker Ustabaş
Asian Journal of Civil Engineering (2025)
Closed Access
Experimental Study on Silica-based Prepolymer Solution Aerogel Modification of Gray Bricks
Jianwei Yue, Zihao Guo, Limin Zhao, et al.
Journal of Building Engineering (2025), pp. 112977-112977
Closed Access
A methodological study of slump prediction and optimisation of radioprotective serpentine concrete
Hongle Li, Jianjun Shi, Hongle Li, et al.
Construction and Building Materials (2024) Vol. 451, pp. 138706-138706
Closed Access
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