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:
INTELLIGENT PREDICTION OF THE FROST RESISTANCE OF HIGH-PERFORMANCE CONCRETE: A MACHINE LEARNING METHOD
Jian Zhang, Yuan Cao, Linyu Xia, et al.
Journal of Civil Engineering and Management (2023) Vol. 29, Iss. 6, pp. 516-529
Open Access | Times Cited: 7
Jian Zhang, Yuan Cao, Linyu Xia, et al.
Journal of Civil Engineering and Management (2023) Vol. 29, Iss. 6, pp. 516-529
Open Access | Times Cited: 7
Showing 7 citing articles:
Predicting existing tunnel deformation from adjacent foundation pit construction using hybrid machine learning
Xianguo Wu, Zongbao Feng, Jun Liu, et al.
Automation in Construction (2024) Vol. 165, pp. 105516-105516
Closed Access | Times Cited: 29
Xianguo Wu, Zongbao Feng, Jun Liu, et al.
Automation in Construction (2024) Vol. 165, pp. 105516-105516
Closed Access | Times Cited: 29
Enhancing mix proportion design of low carbon concrete for shield segment using a combination of Bayesian optimization-NGBoost and NSGA-III algorithm
Yuan Cao, F. Y. Su, Maxwell Fordjour Antwi-Afari, et al.
Journal of Cleaner Production (2024) Vol. 465, pp. 142746-142746
Closed Access | Times Cited: 17
Yuan Cao, F. Y. Su, Maxwell Fordjour Antwi-Afari, et al.
Journal of Cleaner Production (2024) Vol. 465, pp. 142746-142746
Closed Access | Times Cited: 17
Failure node prediction study of in-service tunnel concrete for sulfate attack by PSO-LSTM based on Markov correction
Kunpeng Cao, Dunwen Liu, Yu Tang, et al.
Case Studies in Construction Materials (2024) Vol. 20, pp. e03153-e03153
Open Access | Times Cited: 4
Kunpeng Cao, Dunwen Liu, Yu Tang, et al.
Case Studies in Construction Materials (2024) Vol. 20, pp. e03153-e03153
Open Access | Times Cited: 4
FORECASTING MECHANICAL PROPERTIES OF STEEL STRUCTURES THROUGH DYNAMIC METAHEURISTIC OPTIMIZATION FOR ADAPTIVE MACHINE LEARNING
Ngoc‐Mai Nguyen, Jui‐Sheng Chou
Journal of Civil Engineering and Management (2024) Vol. 30, Iss. 5, pp. 414-436
Open Access | Times Cited: 3
Ngoc‐Mai Nguyen, Jui‐Sheng Chou
Journal of Civil Engineering and Management (2024) Vol. 30, Iss. 5, pp. 414-436
Open Access | Times Cited: 3
Integrated deep learning and Bayesian optimization approach for enhanced prediction of high-performance concrete strength
Rupesh Kumar Tipu, Archna Goyal, Digvijay Singh, et al.
Asian Journal of Civil Engineering (2025)
Closed Access
Rupesh Kumar Tipu, Archna Goyal, Digvijay Singh, et al.
Asian Journal of Civil Engineering (2025)
Closed Access
Machine learning prediction of concrete frost resistance and optimization design of mix proportions
Jinpeng Dai, Zhijie Zhang, Xiaoyuan Yang, et al.
Journal of Intelligent & Fuzzy Systems (2024), pp. 1-26
Closed Access | Times Cited: 3
Jinpeng Dai, Zhijie Zhang, Xiaoyuan Yang, et al.
Journal of Intelligent & Fuzzy Systems (2024), pp. 1-26
Closed Access | Times Cited: 3
Electromagnetic wave-driven deep learning for structural evaluation of reinforced concrete strength
Alan Putranto, Bo-Xun Huang, Tzu-Hsuan Lin
Journal of Civil Engineering and Management (2024), pp. 1-19
Open Access | Times Cited: 1
Alan Putranto, Bo-Xun Huang, Tzu-Hsuan Lin
Journal of Civil Engineering and Management (2024), pp. 1-19
Open Access | Times Cited: 1
