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:
A Comparative Analysis of the Predictive Performance of Tree-Based and Artificial Neural Network Approaches for Compressive Strength of Concrete Utilising Waste
Suhaib Rasool Wani, Manju Suthar
International Journal of Pavement Research and Technology (2024)
Closed Access | Times Cited: 5
Suhaib Rasool Wani, Manju Suthar
International Journal of Pavement Research and Technology (2024)
Closed Access | Times Cited: 5
Showing 5 citing articles:
Utilizing machine learning approaches within concrete technology offers an intelligent perspective towards sustainability in the construction industry: a comprehensive review
Suhaib Rasool Wani, Manju Suthar
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 8, Iss. 1
Closed Access | Times Cited: 5
Suhaib Rasool Wani, Manju Suthar
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 8, Iss. 1
Closed Access | Times Cited: 5
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
Anis Ahamed, S. Sakeek Yamani, L. S. Dissanayaka, et al.
Journal of Building Pathology and Rehabilitation (2025) Vol. 10, Iss. 1
Closed Access
Towards sustainable construction: estimating compressive strength of waste foundry sand-blended green concrete using a hybrid machine learning approach
Nhat‐Duc Hoang, Nguyen Quoc-Lam
Deleted Journal (2025) Vol. 2, Iss. 1
Open Access
Nhat‐Duc Hoang, Nguyen Quoc-Lam
Deleted Journal (2025) Vol. 2, Iss. 1
Open 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
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
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
Suhaib Rasool Wani, Manju Suthar
Asian Journal of Civil Engineering (2024)
Closed Access
