
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:
Machine-Learning-Based Predictive Models for Compressive Strength, Flexural Strength, and Slump of Concrete
John F. Vargas, Ana Isabel Oviedo Carrascal, Nathalia Ortega, et al.
Applied Sciences (2024) Vol. 14, Iss. 11, pp. 4426-4426
Open Access | Times Cited: 5
John F. Vargas, Ana Isabel Oviedo Carrascal, Nathalia Ortega, et al.
Applied Sciences (2024) Vol. 14, Iss. 11, pp. 4426-4426
Open Access | Times Cited: 5
Showing 5 citing articles:
AI-Powered Optimization of Engineered Cementitious Composites Properties and CO₂ Emissions for Sustainable Construction
Qiuying Chang, Chuanhai Zhao, Ali H. AlAteah, et al.
Case Studies in Construction Materials (2025), pp. e04405-e04405
Open Access
Qiuying Chang, Chuanhai Zhao, Ali H. AlAteah, et al.
Case Studies in Construction Materials (2025), pp. e04405-e04405
Open Access
Machine learning models for predicting the compressive strength of agro-waste stabilized bricks for sustainable buildings
Ifeyinwa Ijeoma Obianyo, Jonathan Timothy Auta, David Sciacca, et al.
Deleted Journal (2024) Vol. 1, Iss. 1
Open Access | Times Cited: 4
Ifeyinwa Ijeoma Obianyo, Jonathan Timothy Auta, David Sciacca, et al.
Deleted Journal (2024) Vol. 1, Iss. 1
Open Access | Times Cited: 4
Modeling and Optimization of Concrete Mixtures Using Machine Learning Estimators and Genetic Algorithms
Ana Isabel Oviedo Carrascal, Jorge Londoño, John F. Vargas, et al.
Modelling—International Open Access Journal of Modelling in Engineering Science (2024) Vol. 5, Iss. 3, pp. 642-658
Open Access | Times Cited: 3
Ana Isabel Oviedo Carrascal, Jorge Londoño, John F. Vargas, et al.
Modelling—International Open Access Journal of Modelling in Engineering Science (2024) Vol. 5, Iss. 3, pp. 642-658
Open Access | Times Cited: 3
Elastic Modulus Prediction of Ultra-High-Performance Concrete with Different Machine Learning Models
Chaohui Zhang, Peng Liu, Tiantian Song, et al.
Buildings (2024) Vol. 14, Iss. 10, pp. 3184-3184
Open Access
Chaohui Zhang, Peng Liu, Tiantian Song, et al.
Buildings (2024) Vol. 14, Iss. 10, pp. 3184-3184
Open Access
Enhanced Gaussian Process Model for Predicting Compressive Strength of Ultra-High-Performance Concrete (UHPC)
Zhipeng Zou, Bin Peng, Lang Xie, et al.
Materials (2024) Vol. 17, Iss. 24, pp. 6140-6140
Open Access
Zhipeng Zou, Bin Peng, Lang Xie, et al.
Materials (2024) Vol. 17, Iss. 24, pp. 6140-6140
Open Access