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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:

Tribological properties and machine learning prediction of FeCoCrNiAlN high entropy coatings
Binyuan Jia, Qiang Wan, Long Yan, et al.
Surface and Coatings Technology (2023) Vol. 477, pp. 130341-130341
Closed Access | Times Cited: 16

Showing 16 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 design of Fe-Ni-Cr-Al based multi-principal elements alloys with ultra-high microhardness and unexpected wear resistance
Ling Qiao, Jingchuan Zhu, Junya Inoue
Journal of Materials Research and Technology (2024) Vol. 33, pp. 8222-8231
Open Access | Times Cited: 4
Development and Evaluation of Machine Learning Based Predictive Models for Tribological Properties of Blended Coatings at Elevated Temperature
Jagadesh Kumar Jatavallabhula, Shabana Shabana, Bridjesh Pappula
Journal of Bio- and Tribo-Corrosion (2025) Vol. 11, Iss. 1
Open Access
Predicting Wear Rate and Friction Coefficient of Li2Si2O5 Dental Ceramic Using Optimized Artificial Neural Networks
M. Pantić, Sinisa Jovanovic, Aleksandar Djordjevic, et al.
Applied Sciences (2025) Vol. 15, Iss. 4, pp. 1789-1789
Open Access
Recent developments in CoCrFeNi-based high entropy alloy coatings: design, synthesis, and properties
Fengling Zhang, Xiaohong Chen, He Liu, et al.
Journal of Alloys and Compounds (2025), pp. 179193-179193
Closed Access
A data-driven approach for studying tribology based on experimentation and artificial intelligence coupling tools
Mohamed Kchaou
Sustainable Engineering and Innovation ISSN 2712-0562 (2024) Vol. 6, Iss. 1, pp. 25-36
Open Access | Times Cited: 3
Machine learning based prediction of Young's modulus of stainless steel coated with high entropy alloys
N. Radhika, M. Sabarinathan, S. Ragunath, et al.
Results in Materials (2024) Vol. 23, pp. 100607-100607
Open Access | Times Cited: 3
Mechanical, Tribological, and Corrosion Resistance Properties of (TiAlxCrNbY)Ny High-Entropy Coatings Synthesized Through Hybrid Reactive Magnetron Sputtering
C.N. Zoita, Mihaela Dinu, Anca Constantina Pârău, et al.
Crystals (2024) Vol. 14, Iss. 11, pp. 993-993
Open Access | Times Cited: 1
Prediction of formation energy for oxides in ODS steels by machine learning
Tian-Xing Yang, Peng Dou
Materials & Design (2024), pp. 113503-113503
Open Access | Times Cited: 1
Tribological Analysis of Ti6Al4V Using Machine Learning to Determine Coefficient of Friction and Wear Rate
İsmail Enes Parlak, Cantekin Kaykılarlı, Taha Yasin Eken
Research Square (Research Square) (2024)
Open Access
Prediction of the Tribological Properties of Graphite-Filled Ptfe Composites Based on Machine Learning Algorithms
Huifeng Ning, Wenwen WANG, Gui Gao, et al.
(2024)
Closed Access
Optimization and tribological behavior of carbon nano tubes blended with POE oil
K. Veera Raghavulu, V. Mahidhar Reddy, N. Govindha Rasu, et al.
Engineering Research Express (2024) Vol. 6, Iss. 3, pp. 035430-035430
Open Access
Functional Applications and Data-Driven Design of High-Entropy Ceramics
X. Zhu, Yong Zhang
Deleted Journal (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
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