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OpenAlex Citation Counts

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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:

An RF and LSSVM–NSGA-II method for the multi-objective optimization of high-performance concrete durability
Hongyu Chen, Tingting Deng, Ting Du, et al.
Cement and Concrete Composites (2022) Vol. 129, pp. 104446-104446
Closed Access | Times Cited: 75

Showing 1-25 of 75 citing articles:

An effective multi-objective artificial hummingbird algorithm with dynamic elimination-based crowding distance for solving engineering design problems
Weiguo Zhao, Zhenxing Zhang, Seyedali Mirjalili, et al.
Computer Methods in Applied Mechanics and Engineering (2022) Vol. 398, pp. 115223-115223
Closed Access | Times Cited: 95
Durability of concrete coupled with life cycle assessment: Review and perspective
Chen Li, Jiaqi Li, Qiang Ren, et al.
Cement and Concrete Composites (2023) Vol. 139, pp. 105041-105041
Closed Access | Times Cited: 85
Prediction and optimization model of sustainable concrete properties using machine learning, deep learning and swarm intelligence: A review
Shiqi Wang, Peng Xia, Keyu Chen, et al.
Journal of Building Engineering (2023) Vol. 80, pp. 108065-108065
Closed Access | Times Cited: 57
Enhancing the durability of concrete in severely cold regions: Mix proportion optimization based on machine learning
Hongyu Chen, Yuan Cao, Yang Liu, et al.
Construction and Building Materials (2023) Vol. 371, pp. 130644-130644
Closed Access | Times Cited: 42
Building information modelling-enabled multi-objective optimization for energy consumption parametric analysis in green buildings design using hybrid machine learning algorithms
Yang Liu, Tiejun Li, Wensheng Xu, et al.
Energy and Buildings (2023) Vol. 300, pp. 113665-113665
Closed Access | Times Cited: 42
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: 14
Multi-objective optimization of ultra-high performance concrete based on life-cycle assessment and machine learning methods
Min Wang, Mingfeng Du, Timon Rabczuk, et al.
Frontiers of Structural and Civil Engineering (2025)
Closed Access | Times Cited: 1
Prediction of the durability of high-performance concrete using an integrated RF-LSSVM model
Yang Liu, Yuan Cao, Lei Wang, et al.
Construction and Building Materials (2022) Vol. 356, pp. 129232-129232
Closed Access | Times Cited: 57
Bio-high entropy alloys: Progress, challenges, and opportunities
Junyi Feng, Yujin Tang, Jia Liu, et al.
Frontiers in Bioengineering and Biotechnology (2022) Vol. 10
Open Access | Times Cited: 47
Intelligent mix design of recycled brick aggregate concrete based on swarm intelligence
Shiqi Wang, Peng Xia, Zhao Wang, et al.
Journal of Building Engineering (2023) Vol. 71, pp. 106508-106508
Closed Access | Times Cited: 38
Optimization of high-performance concrete mix ratio design using machine learning
Bin Chen, Lei Wang, Zongbao Feng, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 122, pp. 106047-106047
Closed Access | Times Cited: 33
AI-Assisted optimisation of green concrete mixes incorporating recycled concrete aggregates
Peyman Zandifaez, Elyas Asadi Shamsabadi, Ali Akbar Nezhad, et al.
Construction and Building Materials (2023) Vol. 391, pp. 131851-131851
Open Access | Times Cited: 33
Optimization of rheological and mechanical properties of sustainable lateritic self-compacting concrete containing sisal fiber using response surface methodology
Sharanabasava Patil, Ramesh Bhaskar, Joseph Raj Xavier
Journal of Building Engineering (2024) Vol. 84, pp. 108574-108574
Closed Access | Times Cited: 9
Multi-objective optimization design of recycled aggregate concrete mixture proportions based on machine learning and NSGA-II algorithm
Mengtian Fan, Yue Li, Jiale Shen, et al.
Advances in Engineering Software (2024) Vol. 192, pp. 103631-103631
Closed Access | Times Cited: 9
Multisource information fusion for real-time optimization of shield construction parameters
Hongyu Chen, Jun Liu, Qiping Shen, et al.
Knowledge-Based Systems (2024) Vol. 286, pp. 111413-111413
Open Access | Times Cited: 8
Machine learning-based prediction model for CO2-induced corrosion on oil well cement under high-pressure and high-temperature condition
Sheng Huang, Lianzhou Wang, Zaoyuan Li, et al.
Construction and Building Materials (2024) Vol. 414, pp. 134999-134999
Closed Access | Times Cited: 8
Global warming potential-based life cycle assessment and optimization of the compressive strength of fly ash-silica fume concrete; environmental impact consideration
Kennedy C. Onyelowe, Ahmed M. Ebid, Ariel Riofrio, et al.
Frontiers in Built Environment (2022) Vol. 8
Open Access | Times Cited: 30
Intelligent multiobjective optimization for high-performance concrete mix proportion design: A hybrid machine learning approach
Sai Yang, Hongyu Chen, Zongbao Feng, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106868-106868
Closed Access | Times Cited: 16
Enhancing the performance of recycled aggregate green concrete via a Bayesian optimization light gradient boosting machine and the nondominated sorting genetic algorithm-III
Hongyu Chen, Yue Cheng, Ting Du, et al.
Construction and Building Materials (2024) Vol. 458, pp. 139527-139527
Closed Access | Times Cited: 7
A systematic literature review of AI-based prediction methods for self-compacting, geopolymer, and other eco-friendly concrete types: Advancing sustainable concrete
Tariq Ali, Mohamed Hechmi El Ouni, Muhammad Zeeshan Qureshi, et al.
Construction and Building Materials (2024) Vol. 440, pp. 137370-137370
Closed Access | Times Cited: 6
Data driven multi-objective design for low-carbon self-compacting concrete considering durability
Boyuan Cheng, Mei Liu, Wu-Jian Long, et al.
Journal of Cleaner Production (2024) Vol. 450, pp. 141947-141947
Closed Access | Times Cited: 5
Prediction of HPC compressive strength based on machine learning
Libing Jin, Jie Duan, Yichen Jin, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Utilizing machine learning approaches within concrete technology offers an intelligent perspective towards sustainability in the construction industry: a comprehensive review
Suhaib Rasool Wani, Manju Suthar
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 8, Iss. 1
Closed Access | Times Cited: 5
Optimization design of concrete mix proportion based on support vector machine regression and enhanced genetic algorithm
Sharon Xuejing Zuo, Benyi Liu
Deleted Journal (2025) Vol. 7, Iss. 3
Open Access
Compressive strength and flowability of high volume eco-binder high performance concrete: A physical-data dual drive
Shaoqiang Meng, Zhenming Shi, Xiaowei Ouyang, et al.
Structures (2025) Vol. 74, pp. 108645-108645
Closed Access
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