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:

Parametric study on global estimation models for compressive strength adopting various machine learning algorithms in concrete
Woldeamanuel Minwuye Mesfin, Hyeong-Ki Kim
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 108888-108888
Closed Access | Times Cited: 6

Showing 6 citing articles:

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

Multi Expression Programming and interpretable machine learning for determining compressive strength of coral sand aggregate concrete
Kamran Ehsan, Azman Mohamed, Waleed Bin Inqiad, et al.
Materials Today Communications (2025), pp. 112370-112370
Closed Access

Compressive strength prediction of sleeve grouting materials in prefabricated structures using hybrid optimized XGBoost models
Yanqi Wu, D. Cai, Sheng Gu, et al.
Construction and Building Materials (2025) Vol. 476, pp. 141319-141319
Closed Access

Service life evaluation of marine concrete structures considering spatial and temporal characteristics: A framework based on multi training-MCS-NLS
Shiqi Wang, Renjie Wu, Fuyuan Gong, et al.
Engineering Structures (2024) Vol. 322, pp. 119193-119193
Closed Access | Times Cited: 3

Concrete section segmentation with advanced deep learning models and refined labeling approaches
Woldeamanuel Minwuye Mesfin, Gun Kim, Hyeong-Ki Kim
Expert Systems with Applications (2025), pp. 127697-127697
Closed Access

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