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:

Using soft computing to forecast the strength of concrete utilized with sustainable natural fiber reinforced polymer composites
Suhaib Rasool Wani, Manju Suthar
Asian Journal of Civil Engineering (2024) Vol. 25, Iss. 8, pp. 5847-5863
Closed Access | Times Cited: 4

Showing 4 citing articles:

Predicting the strength of alkali-activated masonry blocks using machine learning models: geopolymer mortar with quarry waste, rice husk ash, and eggshell ash
Anis Ahamed, S. Sakeek Yamani, L. S. Dissanayaka, et al.
Journal of Building Pathology and Rehabilitation (2025) Vol. 10, Iss. 1
Closed Access

Evaluating the strength of industrial wastesbased concrete reinforced with steel fiber using advanced machine learning
Kennedy C. Onyelowe, Viroon Kamchoom‬, Ahmed M. Ebid, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Compressive strength prediction for sandcrete blocks with metakaolin: experiment and multiple linear regression analysis
Akintoye O. Oyelade, Ayandele Joshua Ayandeji, Afeez Adeniyi Yekeen, et al.
Deleted Journal (2025) Vol. 2, Iss. 1
Open Access

Using machine learning approaches for predicting the compressive strength of ultra-high-performance concrete with SHAP analysis
Suhaib Rasool Wani, Manju Suthar
Asian Journal of Civil Engineering (2024)
Closed Access

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