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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:

Phase formation prediction of high-entropy alloys: a deep learning study
Wenhan Zhu, Wenyi Huo, Shiqi Wang, et al.
Journal of Materials Research and Technology (2022) Vol. 18, pp. 800-809
Open Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

Predict the phase formation of high-entropy alloys by compositions
Qingwei Guo, Xiaotao Xu, Xiaolong Pei, et al.
Journal of Materials Research and Technology (2022) Vol. 22, pp. 3331-3339
Open Access | Times Cited: 61
Bio-high entropy alloys: Progress, challenges, and opportunities
Junyi Feng, Yujin Tang, Jia Liu, et al.
Frontiers in Bioengineering and Biotechnology (2022) Vol. 10
Open Access | Times Cited: 50
Rational design of high-entropy ceramics based on machine learning – A critical review
Jun Zhang, Xuepeng Xiang, Biao Xu, et al.
Current Opinion in Solid State and Materials Science (2023) Vol. 27, Iss. 2, pp. 101057-101057
Closed Access | Times Cited: 26
High-entropy materials for electrocatalytic applications: a review of first principles modeling and simulations
Wenyi Huo, Shiqi Wang, F. J. Domínguez-Gutiérrez, et al.
Materials Research Letters (2023) Vol. 11, Iss. 9, pp. 713-732
Open Access | Times Cited: 25
Review on applications of artificial neural networks to develop high entropy alloys: A state-of-the-art technique
Sheetal Kumar Dewangan, Cheenepalli Nagarjuna, Reliance Jain, et al.
Materials Today Communications (2023) Vol. 37, pp. 107298-107298
Closed Access | Times Cited: 23
Machine Learning Design for High-Entropy Alloys: Models and Algorithms
S. Liu, Chao Yang
Metals (2024) Vol. 14, Iss. 2, pp. 235-235
Open Access | Times Cited: 15
Data-driven design of novel lightweight refractory high-entropy alloys with superb hardness and corrosion resistance
Tianchuang Gao, Jianbao Gao, Shenglan Yang, et al.
npj Computational Materials (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 9
Overview: recent studies of machine learning in phase prediction of high entropy alloys
Yonggang Yan, Dan Lü, Kun Wang
Tungsten (2022) Vol. 5, Iss. 1, pp. 32-49
Closed Access | Times Cited: 31
Machine learning prediction of hardness in solid solution high entropy alloys
Zhiyu Gao, Fei Zhao, Sida Gao, et al.
Materials Today Communications (2023) Vol. 37, pp. 107102-107102
Closed Access | Times Cited: 16
Investigation on microstructure, wear and friction properties of CoCrFeNiMox high-entropy alloy coatings deposited by powder plasma arc cladding
Jinhao Ni, Ming Wen, S. Jayalakshmi, et al.
Materials Today Communications (2024) Vol. 39, pp. 108807-108807
Closed Access | Times Cited: 7
Unraveling phase prediction in high entropy alloys: A synergy of machine learning, deep learning, and ThermoCalc, validation by experimental analysis
Mokali Veeresham, Narayanaswamy Sake, Unhae Lee, et al.
Journal of Materials Research and Technology (2024) Vol. 29, pp. 1744-1755
Open Access | Times Cited: 6
Applications of generative adversarial networks in materials science
Yuan Jiang, Jinshan Li, Xiang Lin Yang, et al.
Materials Genome Engineering Advances (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 6
Deep alloys: Metal materials empowered by deep learning
Kaiyuan Zheng, Zhongping He, Lun Che, et al.
Materials Science in Semiconductor Processing (2024) Vol. 179, pp. 108514-108514
Closed Access | Times Cited: 6
Machine Learning-Based Hardness Prediction of High-Entropy Alloys for Laser Additive Manufacturing
Wenhan Zhu, Wenyi Huo, Shiqi Wang, et al.
JOM (2023) Vol. 75, Iss. 12, pp. 5537-5548
Open Access | Times Cited: 14
Machine learning and visualization assisted solid solution strengthening phase prediction of high entropy alloys
Sida Gao, Zhiyu Gao, Fei Zhao
Materials Today Communications (2023) Vol. 35, pp. 105894-105894
Closed Access | Times Cited: 13
Microstructure and mechanical property of Al,Ti co-adding L21-strengthened NiCrFe-based HEAs
Hanqing Xu, Mengdi Zhang, Gaimei Zhang, et al.
Materials Characterization (2023) Vol. 207, pp. 113516-113516
Closed Access | Times Cited: 13
Designing cobalt-free face-centered cubic high-entropy alloys: A strategy using d-orbital energy level
Yulin Li, Artur Olejarz, Ł. Kurpaska, et al.
International Journal of Refractory Metals and Hard Materials (2024) Vol. 124, pp. 106834-106834
Open Access | Times Cited: 5
Triple-wire plasma arc cladding of Cr-Fe-Ni-Tix high-entropy alloy coatings
Qingkai Shen, Jiaxiang Xue, Xiaoyan Yu, et al.
Surface and Coatings Technology (2022) Vol. 443, pp. 128638-128638
Closed Access | Times Cited: 21
Data-driven analysis and prediction of stable phases for high-entropy alloy design
Iman Peivaste, Ericmoore Jossou, Ahmed A. Tiamiyu
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 11
Machine-Learning Synergy in High-Entropy Alloys: A Review
Sally Elkatatny, Walaa Abd‐Elaziem, Tamer A. Sebaey, et al.
Journal of Materials Research and Technology (2024) Vol. 33, pp. 3976-3997
Closed Access | Times Cited: 4
Machine learning-based phase prediction in high-entropy alloys: further optimization of feature engineering
Guiyang Liu, Qingqing Wu, Yong Ma, et al.
Journal of Materials Science (2025)
Closed Access
Deep Learning-Based Framework for Efficient Design of Multicomponent High Hardness High Entropy Alloys
Yuexing Han, Hui Wang, Pengfei Xu, et al.
ACS Applied Materials & Interfaces (2025)
Closed Access
Data-driven body-centered cubic phase prediction in cobalt-free high-entropy alloys
Xuliang Luo, Yulin Li, Tero Mäkinen, et al.
Materials Today Communications (2025), pp. 112464-112464
Closed Access
Surface Defect Detection of Bearing Rings Based on an Improved YOLOv5 Network
Haitao Xu, Haipeng Pan, Junfeng Li
Sensors (2023) Vol. 23, Iss. 17, pp. 7443-7443
Open Access | Times Cited: 9
Phase prediction of high-entropy alloys based on machine learning and an improved information fusion approach
Cun Chen, Xiaoli Han, Yong Zhang, et al.
Computational Materials Science (2024) Vol. 239, pp. 112976-112976
Open Access | Times Cited: 3
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