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 Novel MBAS-RF Approach to Predict Mechanical Properties of Geopolymer-Based Compositions
Shuzhao Chen, Mengmeng Zhou, Xuyang Shi, et al.
Gels (2023) Vol. 9, Iss. 6, pp. 434-434
Open Access | Times Cited: 5
Shuzhao Chen, Mengmeng Zhou, Xuyang Shi, et al.
Gels (2023) Vol. 9, Iss. 6, pp. 434-434
Open Access | Times Cited: 5
Showing 5 citing articles:
Investigation of machine learning models in predicting compressive strength for ultra-high-performance geopolymer concrete: A comparative study
Mohamed Abdellatief, Youssef M. Hassan, Mohamed T. Elnabwy, et al.
Construction and Building Materials (2024) Vol. 436, pp. 136884-136884
Closed Access | Times Cited: 28
Mohamed Abdellatief, Youssef M. Hassan, Mohamed T. Elnabwy, et al.
Construction and Building Materials (2024) Vol. 436, pp. 136884-136884
Closed Access | Times Cited: 28
Towards a Reliable Design of Geopolymer Concrete for Green Landscapes: A Comparative Study of Tree-Based and Regression-Based Models
Ranran Wang, Jun Zhang, Yijun Lü, et al.
Buildings (2024) Vol. 14, Iss. 3, pp. 615-615
Open Access | Times Cited: 13
Ranran Wang, Jun Zhang, Yijun Lü, et al.
Buildings (2024) Vol. 14, Iss. 3, pp. 615-615
Open Access | Times Cited: 13
Exploratory literature review and scientometric analysis of artificial intelligence applied to geopolymeric materials
Aldo Ribeiro de Carvalho, Romário Parreira Pita, Thaís Mayra de Oliveira, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 145, pp. 110210-110210
Closed Access
Aldo Ribeiro de Carvalho, Romário Parreira Pita, Thaís Mayra de Oliveira, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 145, pp. 110210-110210
Closed Access
Carbon Emission Optimization of Ultra-High-Performance Concrete Using Machine Learning Methods
Min Wang, Mingfeng Du, Yue Jia, et al.
Materials (2024) Vol. 17, Iss. 7, pp. 1670-1670
Open Access | Times Cited: 4
Min Wang, Mingfeng Du, Yue Jia, et al.
Materials (2024) Vol. 17, Iss. 7, pp. 1670-1670
Open Access | Times Cited: 4
Modelling the properties of aerated concrete on the basis of raw materials and ash-and-slag wastes using machine learning paradigm
О. В. Руденко, Darya Galkina, Marzhan Anuarbekovna Sadenova, et al.
Frontiers in Materials (2024) Vol. 11
Open Access | Times Cited: 2
О. В. Руденко, Darya Galkina, Marzhan Anuarbekovna Sadenova, et al.
Frontiers in Materials (2024) Vol. 11
Open Access | Times Cited: 2
