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 properties of recycled aggregate concrete using machine learning models: A critical review
Zengfeng Zhao, Yajie Liu, Yanyun Lu, et al.
Journal of Building Engineering (2024) Vol. 90, pp. 109516-109516
Closed Access | Times Cited: 11

Showing 11 citing articles:

An explainable machine learning approach to predict the compressive strength of graphene oxide-based concrete
D.P.P. Meddage, Isuri Fonseka, Damith Mohotti, et al.
Construction and Building Materials (2024) Vol. 449, pp. 138346-138346
Open Access | Times Cited: 9

Strength-based RSM optimization of concrete containing coarse recycled concrete aggregate and raw-crushed wind-turbine blade
Nerea Hurtado-Alonso, Javier Manso-Morato, Víctor Revilla‐Cuesta, et al.
Composite Structures (2025), pp. 118895-118895
Closed Access

Advanced and hybrid machine learning techniques for predicting compressive strength in palm oil fuel ash-modified concrete with SHAP analysis
Tariq Ali, Kennedy C. Onyelowe, Muhammad Sarmad Mahmood, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Investigating on thermal insulation in concrete partition wall with insulation-material-infilled Voronoi sections: Feature impact analysis and efficient assessment approach
Hanmo Wang, Shawn Owyong, Anqi Shi, et al.
Journal of Building Engineering (2024) Vol. 96, pp. 110437-110437
Closed Access | Times Cited: 4

Environmental factors affecting accelerated carbonation of recycled concrete aggregates using response surface methodology
Hao Li, Lijie Chen, Hongniao Chen, et al.
Journal of Cleaner Production (2024) Vol. 474, pp. 143599-143599
Closed Access | Times Cited: 3

Prediction of resilient modulus and critical dynamic stress of recycled aggregates: Experimental study and machine learning methods
Wang Ye, Yuanjie Xiao, Umar Faruk Aminu, et al.
Transportation Geotechnics (2024) Vol. 49, pp. 101363-101363
Closed Access | Times Cited: 1

Investigation on compressive strength and splitting tensile strength of manufactured sand concrete: machine learning prediction and experimental verification
Kaikai Jin, Yue Li, Jiale Shen, et al.
Journal of Building Engineering (2024), pp. 110852-110852
Closed Access | Times Cited: 1

Experimental Study on Proportion Optimization of Rock-like Materials Based on Genetic Algorithm Inversion
Hui Su, Shaoxing Liu, Baowen Hu, et al.
Materials (2024) Vol. 17, Iss. 19, pp. 4940-4940
Open Access

Physico-Mechanical Characterization of Masonry Mortars for Sustainable Construction: Experimental Study with Four Different Aggregates
Enrique Ruano Gutiérrez, Daniel Ferrández, Evangelina Atanes-Sánchez, et al.
Sustainability (2024) Vol. 16, Iss. 14, pp. 6228-6228
Open Access

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