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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:

Prediction of Chloride Diffusion Coefficient in Concrete Modified with Supplementary Cementitious Materials Using Machine Learning Algorithms
Abdulrahman Fahad Al Fuhaid, Hani Alanazi
Materials (2023) Vol. 16, Iss. 3, pp. 1277-1277
Open Access | Times Cited: 10

Showing 10 citing articles:

Advances in Modeling Surface Chloride Concentrations in Concrete Serving in the Marine Environment: A Mini Review
Ruiqi Zhao, Chunfeng Li, Xuemao Guan
Buildings (2024) Vol. 14, Iss. 6, pp. 1879-1879
Open Access | Times Cited: 16
Machine Learning Approach for Prediction and Reliability Analysis of Failure Strength of U-Shaped Concrete Samples Joined with UHPC and PUC Composites
Sadi Ibrahim Haruna, Yasser E. Ibrahim, Ibrahim Khalil Umar
Journal of Composites Science (2025) Vol. 9, Iss. 1, pp. 23-23
Open Access | Times Cited: 1
AI-based framework for concrete durability assessment using generative adversarial networks and bayesian neural networks
Abobaker Ba Ragaa, Fahim Al-Neshawy, Mohamed Noureldin
Construction and Building Materials (2025) Vol. 471, pp. 140722-140722
Open Access
An enhancement method for chloride diffusion coefficient long-term prediction based on Hilbert dynamic probabilistic interpolation and BO-LSTM
Renjie Wu, Yuzhou Wang, Khant Swe Hein, et al.
Measurement (2025), pp. 116820-116820
Closed Access
A optimum prediction model of chloride ion diffusion coefficient of machine-made sand concrete based on different machine learning methods
Wei Zheng, Jiqi Cai
Construction and Building Materials (2023) Vol. 411, pp. 134414-134414
Closed Access | Times Cited: 8
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: 2
Interval prediction of sinter screening index based on gate recurrent unit and kernel density estimation algorithm
Zengxin Kang, Zhaoxia Wu, Jinchao Chen, et al.
Ironmaking & Steelmaking Processes Products and Applications (2024) Vol. 51, Iss. 2, pp. 117-126
Closed Access | Times Cited: 1
Prediction of frost resistance and multiobjective optimisation of low-carbon concrete on the basis of machine learning
Jinpeng Dai, Zhijie Zhang, Xuwei Dong, et al.
Materials Today Communications (2024) Vol. 40, pp. 109525-109525
Closed Access | Times Cited: 1
Smart Sounding Table Using Adaptive Neuro-Fuzzy Inference System
Osman Ünal, Nuri Akkaş
Journal of marine science and technology (2023) Vol. 31, Iss. 3
Open Access | Times Cited: 2
Development of Prediction Model of Chloride Diffusion Coefficient using Machine Learning
Hyunsu Kim
Journal of the Korean Association for Spatial Structures (2023) Vol. 23, Iss. 3, pp. 87-94
Closed Access
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