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 compressive strength of ultra-high-performance concrete using Naive Bayes regression in novel approaches
Zheng Zhao
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 7, Iss. 6, pp. 5235-5249
Closed Access | Times Cited: 3

Showing 3 citing articles:

Data-Driven Prediction of Compressive Strength for Ultra-high Performance Concrete Exposed to Elevated Temperatures
Xiaoqing Yu, Canhui Chen, Jianliang Xie, et al.
Materials Today Communications (2025), pp. 111518-111518
Closed Access

Integrated deep learning and Bayesian optimization approach for enhanced prediction of high-performance concrete strength
Rupesh Kumar Tipu, Archna Goyal, Digvijay Singh, et al.
Asian Journal of Civil Engineering (2025)
Closed Access

Predicting compressed earth blocks compressive strength by means of machine learning models
Sarah Nassar, Cédric Baudrit, Jacqueline Saliba, et al.
Construction and Building Materials (2024) Vol. 447, pp. 138135-138135
Closed Access | Times Cited: 1

Diagnosis of Surface Defects in Hot-Rolled Steel from Deep Learning Features Using Machine Learning Algorithms
Sriraman Madhavan, Naveen Venkatesh Sridharan, Tapan K. Mahanta, et al.
Arabian Journal for Science and Engineering (2024)
Closed Access | Times Cited: 1

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