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:
Improving the performance of machine learning model predicting phase and crystal structure of high entropy alloys by the synthetic minority oversampling technique
K Hareharen, T. Panneerselvam, R. Raj Mohan
Journal of Alloys and Compounds (2024) Vol. 991, pp. 174494-174494
Closed Access | Times Cited: 9
K Hareharen, T. Panneerselvam, R. Raj Mohan
Journal of Alloys and Compounds (2024) Vol. 991, pp. 174494-174494
Closed Access | Times Cited: 9
Showing 9 citing articles:
Hardness Prediction of Electrodeposited Ni-W Alloy Coatings Using Machine Learning
Sen Zhai, Kenjiro Sugio, Gen Sasaki, et al.
Materials Today Communications (2025), pp. 112018-112018
Closed Access | Times Cited: 1
Sen Zhai, Kenjiro Sugio, Gen Sasaki, et al.
Materials Today Communications (2025), pp. 112018-112018
Closed Access | Times Cited: 1
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
Madabhushi Siri Niketh, N. Radhika, Adeolu Adesoji Adediran, et al.
Results in Engineering (2024) Vol. 23, pp. 102387-102387
Open Access | Times Cited: 5
Optimization Strategy for Ensemble Learning Models based on Fusing Resampling, Adaptive Dimensionality Reduction, and Optuna in Intelligent Flight Technology Evaluation
Jinyi Mao, Jian Chen, Yaoji Deng
Aerospace Science and Technology (2025), pp. 110251-110251
Closed Access
Jinyi Mao, Jian Chen, Yaoji Deng
Aerospace Science and Technology (2025), pp. 110251-110251
Closed Access
Interpretable phase structure and hardness prediction of multi-principal element alloys through ensemble learning
Xiaohui Li, Zicong Li, Chunxi Hou, et al.
Applied Physics A (2025) Vol. 131, Iss. 3
Closed Access
Xiaohui Li, Zicong Li, Chunxi Hou, et al.
Applied Physics A (2025) Vol. 131, Iss. 3
Closed Access
Phase Stability and Transitions in High-Entropy Alloys: Insights from Lattice Gas Models, Computational Simulations, and Experimental Validation
Łukasz Łach
Entropy (2025) Vol. 27, Iss. 5, pp. 464-464
Open Access
Łukasz Łach
Entropy (2025) Vol. 27, Iss. 5, pp. 464-464
Open Access
Machine learning-driven design of BCC phase FeCrVTiMoxSiy high-entropy alloy coatings with high hardness to enhance wear resistance
Shouyuan Lin, Yuan Yao, Guanghui Shi, et al.
Surface and Coatings Technology (2025) Vol. 511, pp. 132238-132238
Closed Access
Shouyuan Lin, Yuan Yao, Guanghui Shi, et al.
Surface and Coatings Technology (2025) Vol. 511, pp. 132238-132238
Closed Access
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
Yonggang Yan, Xunxiang Hu, Yalin Liao, et al.
Journal of Alloys and Compounds (2024), pp. 177823-177823
Closed Access | Times Cited: 3
Prediction of Formation Energy for Oxides in Ods Steels by Machine Learning
Tian-Xing Yang, Peng Dou
(2024)
Closed Access
Tian-Xing Yang, Peng Dou
(2024)
Closed Access
Supervised machine learning for multi-principal element alloy structural design
J. Berry, Katerina A. Christofidou
Materials Science and Technology (2024)
Open Access
J. Berry, Katerina A. Christofidou
Materials Science and Technology (2024)
Open Access
