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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:

Machine learning prediction of corrosion rate of steel in carbonated cementitious mortars
Haodong Ji, Hailong Ye
Cement and Concrete Composites (2023) Vol. 143, pp. 105256-105256
Closed Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Study on the deterioration of concrete performance in saline soil area under the combined effect of high low temperatures, chloride and sulfate salts
Daming Luo, Fan Li, Ditao Niu
Cement and Concrete Composites (2024) Vol. 150, pp. 105531-105531
Closed Access | Times Cited: 36
Transfer learning enables prediction of steel corrosion in concrete under natural environments
Haodong Ji, Ye Tian, Chuanqing Fu, et al.
Cement and Concrete Composites (2024) Vol. 148, pp. 105488-105488
Closed Access | Times Cited: 22
Prediction of compressive strength of glass powder concrete based on artificial intelligence
Xu Miao, Bingcheng Chen, Yuxi Zhao
Journal of Building Engineering (2024) Vol. 91, pp. 109377-109377
Closed Access | Times Cited: 14
Reinforcing steels in low-carbon mortars subjected to chloride attack and natural carbonation: Contradictory trends in passivation ability and corrosion resistance
Jinjie Shi, Geng Zhi, Xiaocheng Zhou
Cement and Concrete Composites (2024) Vol. 152, pp. 105666-105666
Closed Access | Times Cited: 10
Piezoresistivity assessment of self-sensing asphalt-based pavements with machine learning algorithm
Zhizhong Deng, Quang Dieu Nguyen, Aziz Hasan Mahmood, et al.
Construction and Building Materials (2025) Vol. 468, pp. 140291-140291
Open Access | Times Cited: 1
Fast screening of high anti-corrosion Ta ternary alloys by machine learning and electron-level descriptors
Yuanjiang Lv, Wenqian Sun, Qiaomei Luo, et al.
Materials Chemistry and Physics (2025), pp. 130820-130820
Closed Access | Times Cited: 1
Machine learning guided iterative mix design of geopolymer concrete
Haodong Ji, Yuhui Lyu, Weichao Ying, et al.
Journal of Building Engineering (2024) Vol. 91, pp. 109710-109710
Closed Access | Times Cited: 7
Explainable artificial intelligence framework for FRP composites design
Mostafa Yossef, Mohamed Noureldin, Aghyad Alqabbany
Composite Structures (2024) Vol. 341, pp. 118190-118190
Open Access | Times Cited: 6
Energy-saving and low-carbon leather production: AI-assisted chrome tanning process optimization
Long Zhang, Qingsu Cheng, Chunhua Wang, et al.
Journal of Cleaner Production (2024) Vol. 457, pp. 142464-142464
Closed Access | Times Cited: 4
Advanced Machine Learning Techniques for Corrosion Rate Estimation and Prediction in Industrial Cooling Water Pipelines
Desireé Ruiz, Abraham Casas, C. Escobar, et al.
Sensors (2024) Vol. 24, Iss. 11, pp. 3564-3564
Open Access | Times Cited: 4
Time-series prediction of steel corrosion in concrete using recurrent neural networks
Haodong Ji, Jin-Cheng Liu, Hailong Ye
Nondestructive Testing And Evaluation (2025), pp. 1-20
Closed Access
Quantitative description of chloride ingress in concrete using machine learning algorithms
Mojtaba Aliasghar-Mamaghani, Ioannis Koutromanos, Matthew H. Hebdon, et al.
Construction and Building Materials (2025) Vol. 467, pp. 140209-140209
Closed Access
Machine learning in concrete durability: challenges and pathways identified by RILEM TC 315-DCS towards enhanced predictive models
Woubishet Zewdu Taffese, Benoît Hilloulin, Yury Villagrán Zaccardi, et al.
Materials and Structures (2025) Vol. 58, Iss. 4
Open Access
Data-driven approaches in concrete science: applications, challenges and future prospects
Salim Barbhuiya, Bibhuti Bhusan Das, Dibyendu Adak
Proceedings of the Institution of Civil Engineers - Construction Materials (2025), pp. 1-17
Closed Access
A state-of-the-art review on monitoring technology and characterization of reinforcement corrosion in concrete
Qiang Li, Jinsong Lan, Luming Shen, et al.
Case Studies in Construction Materials (2025), pp. e04780-e04780
Open Access
Machine learning-based corrosion rate prediction of steel embedded in soil
Dong Zheng, Ling Ding, Meng Zhou, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Assessment of corrosion probability of steel in mortars using machine learning
Haodong Ji, Yuhui Lyu, Zushi Tian, et al.
Reliability Engineering & System Safety (2024) Vol. 253, pp. 110535-110535
Closed Access | Times Cited: 3
Electro-chemo-physical analysis for long-term reinforcement corrosion within the reactive system of concrete
Bin Dong, Yuguo Yu, Wei Gao, et al.
Cement and Concrete Composites (2024) Vol. 155, pp. 105846-105846
Closed Access | Times Cited: 3
Explainable Tuned Machine Learning Models for Assessing the Impact of Corrosion on Bond Strength in Concrete
Maryam Bypour, Alireza Mahmoudian, Mohammad Yekrangnia, et al.
Cleaner Engineering and Technology (2024) Vol. 23, pp. 100834-100834
Open Access | Times Cited: 3
An Efficient Corrosion Prediction Model Based on Genetic Feedback Propagation Neural Network
Ziheng Zhao, Elmi Bin Abu Bakar, Norizham Bin Abdul Razak, et al.
Arabian Journal for Science and Engineering (2024)
Closed Access | Times Cited: 2
Study on the Deterioration of Concrete Performance in Saline Soil Area Under the Combined Effect of High Low Temperatures, Chloride and Sulfate Salts
Daming Luo, Fan Li, Ditao Niu
(2024)
Closed Access | Times Cited: 1
Dataset on carbonation and chloride-induced steel corrosion in cementitious mortars
Haodong Ji, Hailong Ye
Data in Brief (2024) Vol. 55, pp. 110595-110595
Open Access | Times Cited: 1
An Efficient Corrosion Prediction Model Based on Genetic Feedback Propagation Neural Network
Ziheng Zhao, Nishat Akhtar, Elmi Bin Abu Bakar, et al.
(2024)
Closed Access
Walk-Through Corrosion Assessment of Slurry Pipeline Using Machine Learning
Abdou Khadir Dia, Axel Gambou Bosca, Nadia Ghazzali
International Journal of Corrosion (2024) Vol. 2024, pp. 1-11
Open Access
Prediction of coal gangue volcanic ash activity based on machine learning
Yongxin Li, Changwang Yan, J. Zhang, et al.
Construction and Building Materials (2024) Vol. 443, pp. 137737-137737
Closed Access
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