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:
Interpretable machine learning models for predicting the bond strength between UHPC and normal-strength concrete
Kaihua Liu, Tingrui Wu, Zhuorong Shi, et al.
Materials Today Communications (2024) Vol. 40, pp. 110006-110006
Closed Access | Times Cited: 6
Kaihua Liu, Tingrui Wu, Zhuorong Shi, et al.
Materials Today Communications (2024) Vol. 40, pp. 110006-110006
Closed Access | Times Cited: 6
Showing 6 citing articles:
Sustainable mix design and carbon emission analysis of recycled aggregate concrete based on machine learning and big data methods
Boqun Zhang, Lei Pan, X. C. Chang, et al.
Journal of Cleaner Production (2025) Vol. 489, pp. 144734-144734
Closed Access | Times Cited: 1
Boqun Zhang, Lei Pan, X. C. Chang, et al.
Journal of Cleaner Production (2025) Vol. 489, pp. 144734-144734
Closed Access | Times Cited: 1
Intelligent prediction and understanding of self-shrinkage in ultra-high performance concrete based on machine learning
Hao Ji, Wenbin Jiao, Xie Xu, et al.
Case Studies in Construction Materials (2025) Vol. 22, pp. e04255-e04255
Open Access
Hao Ji, Wenbin Jiao, Xie Xu, et al.
Case Studies in Construction Materials (2025) Vol. 22, pp. e04255-e04255
Open Access
Intelligent predicting and monitoring of ultra-high-performance fiber reinforced concrete composites − A review
Dingqiang Fan, Ziao Chen, Yuan Cao, et al.
Composites Part A Applied Science and Manufacturing (2024), pp. 108555-108555
Closed Access | Times Cited: 3
Dingqiang Fan, Ziao Chen, Yuan Cao, et al.
Composites Part A Applied Science and Manufacturing (2024), pp. 108555-108555
Closed Access | Times Cited: 3
Enhancing bond strength prediction at UHPC-NC interface: A data-driven approach with augmentation and explainability
Tianyu Hu, Hong Zhang, Nima Khodadadi, et al.
Construction and Building Materials (2024) Vol. 451, pp. 138757-138757
Closed Access | Times Cited: 2
Tianyu Hu, Hong Zhang, Nima Khodadadi, et al.
Construction and Building Materials (2024) Vol. 451, pp. 138757-138757
Closed Access | Times Cited: 2
Effect of dataset representation bias on generalizability of machine learning models in predicting flexural properties of ultra-high-performance concrete (UHPC) beams
Jinxin Chen, Yi Bao
Engineering Structures (2024) Vol. 326, pp. 119508-119508
Closed Access | Times Cited: 1
Jinxin Chen, Yi Bao
Engineering Structures (2024) Vol. 326, pp. 119508-119508
Closed Access | Times Cited: 1
Data-driven approaches for predicting and optimizing the compressive strength of self-compacting concrete
Tan‐Duy Phan, Duy‐Liem Nguyen
Materials Today Communications (2024), pp. 111298-111298
Closed Access
Tan‐Duy Phan, Duy‐Liem Nguyen
Materials Today Communications (2024), pp. 111298-111298
Closed Access
