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 high-performance concrete using optimization machine learning approaches with SHAP analysis
Md Mahamodul Islam, Pobithra Das, Md Mahbubur Rahman, et al.
Journal of Building Pathology and Rehabilitation (2024) Vol. 9, Iss. 2
Closed Access | Times Cited: 4

Showing 4 citing articles:

Strength and durability predictions of ternary blended nano-engineered high-performance concrete: Application of hybrid machine learning techniques with bio-inspired optimization
Vikrant S. Vairagade, Boskey V. Bahoria, Haytham F. Isleem, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 148, pp. 110470-110470
Closed Access

Compressive strength of nano concrete materials under elevated temperatures using machine learning
Abdullah M. Zeyad, Alaa A. Mahmoud, Alaa A. El‐Sayed, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3

Prediction and deployment of compressive strength of high-performance concrete using ensemble learning techniques
Ridwan Taiwo, Abdul‐Mugis Yussif, Adesola Habeeb Adegoke, et al.
Construction and Building Materials (2024) Vol. 451, pp. 138808-138808
Closed Access | Times Cited: 3

Genetic Programming-based Algorithms Application in Modeling the Compressive Strength of Steel Fiber-Reinforced Concrete Exposed to Elevated Temperatures
Mohsin Ali, Li Chen, Qadir Bux alias Imran Latif, et al.
Composites Part C Open Access (2024), pp. 100529-100529
Open Access | Times Cited: 2

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