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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:

Optimization of mix proportion and strength prediction of magnesium phosphate cement-based composites based on machine learning
Jing Zhang, Tao Li, Yuanyuan Yao, et al.
Construction and Building Materials (2023) Vol. 411, pp. 134738-134738
Closed Access | Times Cited: 11

Showing 11 citing articles:

Hybrid machine learning model to predict the mechanical properties of ultra-high-performance concrete (UHPC) with experimental validation
Ajad Shrestha, Sanjog Chhetri Sapkota
Asian Journal of Civil Engineering (2024) Vol. 25, Iss. 7, pp. 5227-5244
Closed Access | Times Cited: 5
Effect of aluminum dihydrogen phosphate in enhancing mechanical properties and water resistance of magnesium phosphate cement
Xingyu Gan, Haiming Zhang, Zeyu Lu, et al.
Cement and Concrete Research (2025) Vol. 192, pp. 107849-107849
Closed Access
Predicting the impermeability and mechanical properties of manufactured sand polymer waterproof mortar using an optimised back-propagation neural network
Haozheng Tian, Hongxia Qiao, Yunsheng Zhang, et al.
Construction and Building Materials (2024) Vol. 441, pp. 137475-137475
Closed Access | Times Cited: 3
Evaluation of mechanical and microscopic properties of magnesium phosphate cement-based concrete with different fly ash additions
Yuanyuan Yao, Jing Zhang, Z. Yao, et al.
Journal of Building Engineering (2024) Vol. 91, pp. 109640-109640
Closed Access | Times Cited: 2
In-depth insight into the driving factors of the compressive strength development of MKPC based on interpretable machine learning methods
Shanliang Ma, Jiarui Gu, Jie Wang, et al.
Journal of Industrial and Engineering Chemistry (2024)
Closed Access | Times Cited: 1
Generative artificial intelligence and optimisation framework for concrete mixture design with low cost and embodied carbon dioxide
Khuong Le Nguyen, Minhaz Uddin, Thong M. Pham
Construction and Building Materials (2024) Vol. 451, pp. 138836-138836
Open Access | Times Cited: 1
Workability, mechanical properties, pore characteristics and microstructure of magnesium phosphate cement-based concrete: Influence of curing age, fiber type and dosage
Tao Li, Jing Zhang, Z. Yao, et al.
Construction and Building Materials (2024) Vol. 458, pp. 139537-139537
Closed Access | Times Cited: 1
Data-Driven AI Models within a User-Defined Optimization Objective Function in Cement Production
Othonas Manis, Michalis Skoumperdis, Christos Kioroglou, et al.
Sensors (2024) Vol. 24, Iss. 4, pp. 1225-1225
Open Access
Enhancing magnesium oxalate cements with copper slag and silica fume
Baki Aykut Bilginer, Sinan T. Erdoğan
Construction and Building Materials (2024) Vol. 452, pp. 138999-138999
Closed Access
Potentialities of magnesium phosphate cement-based ultra-high-performance concrete in extremely cold weather construction
Jie Yuan, Xin Huang, Xin Chen, et al.
Construction and Building Materials (2024) Vol. 456, pp. 139297-139297
Closed Access
Effect of nano-metakaolin modified cement mortar binder on the bond performance and failure behaviour of new-old concrete
Hao Chen, Ying-Fang Fan, Qiuchao Li, et al.
Journal of Building Engineering (2024), pp. 111426-111426
Closed Access
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