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:
Composition prediction of pore solution in hardened concrete materials based on machine learning
Yuhe Xu, Jingyi Li, Xunhai Yu, et al.
Developments in the Built Environment (2023) Vol. 16, pp. 100285-100285
Open Access | Times Cited: 6
Yuhe Xu, Jingyi Li, Xunhai Yu, et al.
Developments in the Built Environment (2023) Vol. 16, pp. 100285-100285
Open Access | Times Cited: 6
Showing 6 citing articles:
Enhancement fracture behavior of sustainable cementitious composites using synergy between fly ash (FA) and nanosilica (NS) in the assessment based on digital image processing procedure
Grzegorz Ludwik Golewski
Theoretical and Applied Fracture Mechanics (2024) Vol. 131, pp. 104442-104442
Closed Access | Times Cited: 58
Grzegorz Ludwik Golewski
Theoretical and Applied Fracture Mechanics (2024) Vol. 131, pp. 104442-104442
Closed Access | Times Cited: 58
Multi objective optimization of recycled aggregate concrete based on explainable machine learning
Shiqi Wang, Peng Xia, Fuyuan Gong, et al.
Journal of Cleaner Production (2024) Vol. 445, pp. 141045-141045
Closed Access | Times Cited: 44
Shiqi Wang, Peng Xia, Fuyuan Gong, et al.
Journal of Cleaner Production (2024) Vol. 445, pp. 141045-141045
Closed Access | Times Cited: 44
Application of machine learning boosting and bagging methods to predict compressive and flexural strength of marble cement mortar
Zhiqiang Chen
Materials Today Communications (2024) Vol. 39, pp. 108600-108600
Closed Access | Times Cited: 10
Zhiqiang Chen
Materials Today Communications (2024) Vol. 39, pp. 108600-108600
Closed Access | Times Cited: 10
Investigating the effectiveness of carbon nanotubes for the compressive strength of concrete using AI-aided tools
Han Sun, Muhammad Nasir Amin, Muhammad Tahir Qadir, et al.
Case Studies in Construction Materials (2024) Vol. 20, pp. e03083-e03083
Open Access | Times Cited: 8
Han Sun, Muhammad Nasir Amin, Muhammad Tahir Qadir, et al.
Case Studies in Construction Materials (2024) Vol. 20, pp. e03083-e03083
Open Access | Times Cited: 8
Characterization and economization of cementitious tile bond adhesives using machine learning technique
Wasim Abbass, Akmal Shahzad, Fahid Aslam, et al.
Case Studies in Construction Materials (2024) Vol. 20, pp. e02916-e02916
Open Access | Times Cited: 5
Wasim Abbass, Akmal Shahzad, Fahid Aslam, et al.
Case Studies in Construction Materials (2024) Vol. 20, pp. e02916-e02916
Open Access | Times Cited: 5
Research on the prediction of mechanical properties of magnesium-silicon-based cement and the mechanism of element interaction based on machine learning
Xiao Luo, Yue Li, Yunze Liu, et al.
Construction and Building Materials (2025) Vol. 463, pp. 140062-140062
Closed Access
Xiao Luo, Yue Li, Yunze Liu, et al.
Construction and Building Materials (2025) Vol. 463, pp. 140062-140062
Closed Access
