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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 Environmentally Friendly Concrete Using Multiple Machine Learning Algorithms
Yanhua Yang, Guiyong Liu, Haihong Zhang, et al.
Buildings (2024) Vol. 14, Iss. 1, pp. 190-190
Open Access | Times Cited: 8

Showing 8 citing articles:

Prediction of the Compressive Strength of Vibrocentrifuged Concrete Using Machine Learning Methods
Alexey N. Beskopylny, Sergey A. Stel’makh, Evgenii M. Shcherban’, et al.
Buildings (2024) Vol. 14, Iss. 2, pp. 377-377
Open Access | Times Cited: 9
Optimizing high-strength concrete compressive strength with explainable machine learning
Sanjog Chhetri Sapkota, Christina Panagiotakopoulou, Dipak Dahal, et al.
Multiscale and Multidisciplinary Modeling Experiments and Design (2025) Vol. 8, Iss. 3
Open Access
Prediction of the Properties of Vibro-Centrifuged Variatropic Concrete in Aggressive Environments Using Machine Learning Methods
Alexey N. Beskopylny, Sergey A. Stel’makh, Evgenii M. Shcherban’, et al.
Buildings (2024) Vol. 14, Iss. 5, pp. 1198-1198
Open Access | Times Cited: 4
Advancing mix design prediction in 3D printed concrete: Predicting anisotropic compressive strength and slump flow
Umair Jalil Malik, Raja Dilawar Riaz, Saif Ur Rehman, et al.
Case Studies in Construction Materials (2024) Vol. 21, pp. e03510-e03510
Open Access | Times Cited: 4
A Novel Identification Approach Using RFECV–Optuna–XGBoost for Assessing Surrounding Rock Grade of Tunnel Boring Machine Based on Tunneling Parameters
Kebin Shi, R Shi, Tao Fu, et al.
Applied Sciences (2024) Vol. 14, Iss. 6, pp. 2347-2347
Open Access | Times Cited: 3
Optimizing compressive strength prediction in eco-friendly recycled concrete via artificial intelligence models
Lihua Chen, Younes Nouri, Nazanin Allahyarsharahi, et al.
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 8, Iss. 1
Closed Access | Times Cited: 2
Experimental and Machine Learning-Based Investigation of Cyclic Thermal Resilience of Geopolymer Concrete with Slag and Glass Powders
Ashwin Raut, T. Vamsi Nagaraju, Mohammed Rihan Maaze, et al.
Iranian Journal of Science and Technology Transactions of Civil Engineering (2024)
Closed Access
Performance Prediction of Eco-Friendly Concrete with Artificial Neural Networks (ANNs)
Bheemshetty Kushal, K. Anand Goud, Kranti Kumar, et al.
E3S Web of Conferences (2024) Vol. 596, pp. 01021-01021
Open Access
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