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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:

Wear Resistance Prediction of AlCoCrFeNi-X (Ti, Cu) High-Entropy Alloy Coatings Based on Machine Learning
Jiajie Kang, Yi Niu, Yong-kuan Zhou, et al.
Metals (2023) Vol. 13, Iss. 5, pp. 939-939
Open Access | Times Cited: 12

Showing 12 citing articles:

Accelerated design of high-entropy alloy coatings for high corrosion resistance via machine learning
Hongxu Cheng, Hong Luo, C.G. Fan, et al.
Surface and Coatings Technology (2025), pp. 131978-131978
Closed Access | Times Cited: 1
Predictive analytics of wear performance in high entropy alloy coatings through machine learning
S. Sivaraman, N. Radhika
Physica Scripta (2024) Vol. 99, Iss. 7, pp. 076014-076014
Closed Access | Times Cited: 6
Enhancing high-entropy alloy performance: Predictive modelling of wear rates with machine learning
Madabhushi Siri Niketh, N. Radhika, Adeolu Adesoji Adediran, et al.
Results in Engineering (2024) Vol. 23, pp. 102387-102387
Open Access | Times Cited: 5
Machine learning-assisted prediction and interpretation of electrochemical corrosion behavior in high-entropy alloys
Yun Zou, Jiahao Qian, Xu Wang, et al.
Computational Materials Science (2024) Vol. 244, pp. 113259-113259
Closed Access | Times Cited: 4
Effect of Additional Alloying Elements on Microstructure and Properties of AlCoCrFeNi High Entropy Alloy System: A Comprehensive Review
S. Arun, N. Radhika, Bassiouny Saleh
Metals and Materials International (2024)
Closed Access | Times Cited: 4
A Short Review: Tribology in Machining to Understand Conventional and Latest Modeling Methods with Machine Learning
Seisuke Kano
Machines (2025) Vol. 13, Iss. 2, pp. 81-81
Open Access
Microstructure and mechanical property of CoCrFeNiAlxMn(1-x) dual-phase gradient high-entropy alloy coatings prepared by laser cladding
Feng Ding, Hao Liu, Peijian Chen, et al.
Materials Today Communications (2024) Vol. 40, pp. 109712-109712
Closed Access | Times Cited: 3
Recent machine learning-driven investigations into high entropy alloys: a comprehensive review
Yonggang Yan, Xunxiang Hu, Yalin Liao, et al.
Journal of Alloys and Compounds (2024), pp. 177823-177823
Closed Access | Times Cited: 3
Recent Progress of Machine Learning Algorithms for the Oil and Lubricant Industry
Md Hafizur Rahman, Sadat Shahriar, Pradeep L. Menezes
Lubricants (2023) Vol. 11, Iss. 7, pp. 289-289
Open Access | Times Cited: 8
Exploring the Lubricating Effect of Graphene in Nano Alcocrfeni High-Entropy Alloy
Zhimin Liu, Juan Li, Huaying Li, et al.
(2024)
Closed Access
A Machine Learning Approach to Predict Coefficient of Friction of Laser Cladding High-Entropy Alloy Coatings
Yawen Pan, Bin Xu, Shupeng Xu, et al.
(2024)
Closed Access
Microstructure and Properties of Non-Equiatomic Ni10Cr6WFe9TiAlx High-Entropy Alloys Combined with High Strength and Toughness
Xigang Yang, Lin He, Erhong Li, et al.
Metals (2023) Vol. 13, Iss. 7, pp. 1179-1179
Open Access | Times Cited: 1
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