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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 Self-Healing of Engineered Cementitious Composite Using Machine Learning Approaches
Guangwei Chen, Waiching Tang, Shuo Chen, et al.
Applied Sciences (2022) Vol. 12, Iss. 7, pp. 3605-3605
Open Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

Towards electric digital twin grid: Technology and framework review
Md. Mhamud Hussen Sifat, Safwat Mukarrama Choudhury, Sajal K. Das, et al.
Energy and AI (2022) Vol. 11, pp. 100213-100213
Open Access | Times Cited: 81
Forecasting the strength of graphene nanoparticles-reinforced cementitious composites using ensemble learning algorithms
Majid Khan, Roz‐Ud‐Din Nassar, Waqar Anwar, et al.
Results in Engineering (2024) Vol. 21, pp. 101837-101837
Open Access | Times Cited: 27
Machine learning based computational approach for crack width detection of self-healing concrete
Fadi Althoey, Muhammad Nasir Amin, Kaffayatullah Khan, et al.
Case Studies in Construction Materials (2022) Vol. 17, pp. e01610-e01610
Closed Access | Times Cited: 51
Advancements in bacteria based self-healing concrete and the promise of modelling
Manpreet Bagga, Charlotte Hamley-Bennett, Aleena Alex, et al.
Construction and Building Materials (2022) Vol. 358, pp. 129412-129412
Open Access | Times Cited: 45
Self-healing concrete: Fabrication, advancement, and effectiveness for long-term integrity of concrete infrastructures
Md. Montaseer Meraz, Nusrat Jahan Mim, Md. Tanjid Mehedi, et al.
Alexandria Engineering Journal (2023) Vol. 73, pp. 665-694
Open Access | Times Cited: 36
Toward Self-Healing Concrete Infrastructure: Review of Experiments and Simulations across Scales
Manh‐Thuong Nguyen, Carlos A. Fernandez, Md Mostofa Haider, et al.
Chemical Reviews (2023) Vol. 123, Iss. 18, pp. 10838-10876
Closed Access | Times Cited: 24
Predicting ultra high-performance concrete self-healing performance using hybrid models based on metaheuristic optimization techniques
Bin Xi, Zhewen Huang, Salam Al-Obaidi, et al.
Construction and Building Materials (2023) Vol. 381, pp. 131261-131261
Open Access | Times Cited: 23
Interpretable Machine Learning for Prediction of Post-Fire Self-Healing of Concrete
Magdalena Rajczakowska, Maciej Szeląg, Karin Habermehl-Cwirzen, et al.
Materials (2023) Vol. 16, Iss. 3, pp. 1273-1273
Open Access | Times Cited: 21
Predicting the crack repair rate of self-healing concrete using soft-computing tools
Yuanfeng Lou, Huiling Wang, Muhammad Nasir Amin, et al.
Materials Today Communications (2024) Vol. 38, pp. 108043-108043
Closed Access | Times Cited: 12
Application of metaheuristic algorithms for compressive strength prediction of steel fiber reinforced concrete exposed to high temperatures
Muhammad Faisal Javed, Majid Khan, Moncef L. Nehdi, et al.
Materials Today Communications (2024) Vol. 39, pp. 108832-108832
Closed Access | Times Cited: 10
Building the future: Smart concrete as a key element in next-generation construction
Qiong Tian, Ji Zhou, Jingwei Hou, et al.
Construction and Building Materials (2024) Vol. 429, pp. 136364-136364
Closed Access | Times Cited: 10
Multi-objective optimization of engineered cementitious composite based on machine learning and generative adversarial network
Yufei Wang, Junbo Sun, Xiangyu Wang, et al.
Journal of Building Engineering (2024) Vol. 96, pp. 110471-110471
Closed Access | Times Cited: 7
Crack width prediction of self-healing engineered cementitious composite using multi-expression programming
Fadi Althoey, Nadhim Hamah Sor, Haitham Hadidi, et al.
Journal of Materials Research and Technology (2023) Vol. 24, pp. 918-927
Open Access | Times Cited: 20
Predicting the crack width of the engineered cementitious materials via standard machine learning algorithms
Xiongzhou Yuan, Qingyu Cao, Muhammad Nasir Amin, et al.
Journal of Materials Research and Technology (2023) Vol. 24, pp. 6187-6200
Open Access | Times Cited: 16
Recent Advances of Self-Healing Materials for Civil Engineering: Models and Simulations
Cen-Ying Liao, Lin Zhang, Siyu Hu, et al.
Buildings (2024) Vol. 14, Iss. 4, pp. 961-961
Open Access | Times Cited: 6
Applications of machine learning methods for design and characterization of high-performance fiber-reinforced cementitious composite (HPFRCC): a review
Pengwei Guo, Seyed Amirhossein Moghaddas, Yiming Liu, et al.
Journal of Sustainable Cement-Based Materials (2025), pp. 1-24
Closed Access
Computational Intelligence-Based Prognostication of Autogenous Healing in Engineered Cementitious Composites
Anupam Yadav, Mohammad R.K.M. Al-Badkubi, A K Dasarathy, et al.
Research Square (Research Square) (2025)
Open Access
Machine learning algorithms on self-healing concrete
Shrikant M. Harle
Asian Journal of Civil Engineering (2025)
Closed Access
Modeling the capacity of engineered cementitious composites for self-healing using AI-based ensemble techniques
Hisham Alabduljabbar, Kaffayatullah Khan, Hamad Hassan Awan, et al.
Case Studies in Construction Materials (2022) Vol. 18, pp. e01805-e01805
Open Access | Times Cited: 26
Prediction of Soil Shear Strength Parameters Using Combined Data and Different Machine Learning Models
Longtu Zhu, Qingxi Liao, Zetian Wang, et al.
Applied Sciences (2022) Vol. 12, Iss. 10, pp. 5100-5100
Open Access | Times Cited: 23
Revolutionizing concrete durability: Case studies on encapsulation- based chemical (autonomous) self-healing techniques and future directions – A critical review
Rubaiya Rumman, Ahmed Bediwy, M. Shahria Alam
Case Studies in Construction Materials (2024) Vol. 20, pp. e03216-e03216
Open Access | Times Cited: 4
Indirect prediction of graphene nanoplatelets-reinforced cementitious composites compressive strength by using machine learning approaches
Muhammad Fawad, Hisham Alabduljabbar, Furqan Farooq, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Optimized prediction modeling of micropollutant removal efficiency in forward osmosis membrane systems using explainable machine learning algorithms
Ali Aldrees, Muhammad Faisal Javed, Majid Khan, et al.
Journal of Water Process Engineering (2024) Vol. 66, pp. 105937-105937
Closed Access | Times Cited: 4
Experimental Study on Toughness of Engineered Cementitious Composites with Desert Sand
Zhishuan Lv, Zhi Yang, Guoqi Han, et al.
Materials (2023) Vol. 16, Iss. 2, pp. 697-697
Open Access | Times Cited: 9
Forecasting the self-healing capacity of engineered cementitious composites using bagging regressor and stacking regressor
Fahid Aslam, Rayed Alyousef, Hamad Hassan Awan, et al.
Structures (2023) Vol. 54, pp. 1717-1728
Closed Access | Times Cited: 8
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