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:
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: 17
Zhiyu Gao, Fei Zhao, Sida Gao, et al.
Materials Today Communications (2023) Vol. 37, pp. 107102-107102
Closed Access | Times Cited: 17
Showing 17 citing articles:
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: 7
S. Sivaraman, N. Radhika
Physica Scripta (2024) Vol. 99, Iss. 7, pp. 076014-076014
Closed Access | Times Cited: 7
Study on microstructure and wear resistance of laser cladding TiAlZrVNiX high entropy alloy coating based on Laves phase modulation
Shuo Wang, Xiufang Cui, Guo Jin, et al.
Surface and Coatings Technology (2024) Vol. 490, pp. 131197-131197
Closed Access | Times Cited: 6
Shuo Wang, Xiufang Cui, Guo Jin, et al.
Surface and Coatings Technology (2024) Vol. 490, pp. 131197-131197
Closed Access | Times Cited: 6
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: 5
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: 5
Machine Learning Assisted Design of High‐Entropy Alloy Interphase Layer for Lithium Metal Batteries
Chenxi Xu, Teng Zhao, Ke Wang, et al.
Advanced Functional Materials (2025)
Closed Access
Chenxi Xu, Teng Zhao, Ke Wang, et al.
Advanced Functional Materials (2025)
Closed Access
Prediction of mechanical properties of high entropy alloys based on machine learning
Tinghong Gao, Qingqing Wu, Lei Chen, et al.
Physica Scripta (2025) Vol. 100, Iss. 4, pp. 046013-046013
Closed Access
Tinghong Gao, Qingqing Wu, Lei Chen, et al.
Physica Scripta (2025) Vol. 100, Iss. 4, pp. 046013-046013
Closed Access
Machine learning–assisted prediction of mechanical properties of high-entropy alloy/graphene nanocomposite
Qingqing Wu, Tinghong Gao, Guiyang Liu, et al.
Materials Today Communications (2024) Vol. 40, pp. 109663-109663
Closed Access | Times Cited: 3
Qingqing Wu, Tinghong Gao, Guiyang Liu, et al.
Materials Today Communications (2024) Vol. 40, pp. 109663-109663
Closed Access | Times Cited: 3
Predicting Hardness in High Entropy Alloys with Explainable Machine Learning
Kaifeng Chen, Byung‐Won Min
Materials Today Communications (2025), pp. 112388-112388
Closed Access
Kaifeng Chen, Byung‐Won Min
Materials Today Communications (2025), pp. 112388-112388
Closed Access
Crystallization prediction and Reverse Engineering Framework construction for mold flux based on machine learning methods
Yi Ji, J. Chen, Lejun Zhou, et al.
Materials Today Communications (2025), pp. 112426-112426
Closed Access
Yi Ji, J. Chen, Lejun Zhou, et al.
Materials Today Communications (2025), pp. 112426-112426
Closed Access
Design Methods of High-Entropy Alloys: Current Status and Prospects
Lingxin Li, Zhengdi Liu, Xulong An, et al.
Journal of Alloys and Compounds (2025), pp. 180638-180638
Closed Access
Lingxin Li, Zhengdi Liu, Xulong An, et al.
Journal of Alloys and Compounds (2025), pp. 180638-180638
Closed Access
Design Approaches of High‐Entropy Alloys Using Artificial Intelligence: A Review
Nour Mahmoud Eldabah, Ayush Pratap, Atul Pandey, et al.
Advanced Engineering Materials (2025)
Closed Access
Nour Mahmoud Eldabah, Ayush Pratap, Atul Pandey, et al.
Advanced Engineering Materials (2025)
Closed Access
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
N. Radhika, M. Sabarinathan, S. Ragunath, et al.
Results in Materials (2024) Vol. 23, pp. 100607-100607
Open 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
Yonggang Yan, Xunxiang Hu, Yalin Liao, et al.
Journal of Alloys and Compounds (2024), pp. 177823-177823
Closed Access | Times Cited: 3
The Prediction of Flow Stress in the Hot Compression of a Ni-Cr-Mo Steel Using Machine Learning Algorithms
Tao Pan, Chengmin Song, Zhiyu Gao, et al.
Processes (2024) Vol. 12, Iss. 3, pp. 441-441
Open Access | Times Cited: 2
Tao Pan, Chengmin Song, Zhiyu Gao, et al.
Processes (2024) Vol. 12, Iss. 3, pp. 441-441
Open Access | Times Cited: 2
Accelerating the development of Fe–Co–Ni–Cr system HEAs with high hardness by deep learning based on Bayesian optimization
Jiahao Qian, Yang Li, Jialiang Hou, et al.
Journal of materials research/Pratt's guide to venture capital sources (2024) Vol. 39, Iss. 15, pp. 2115-2130
Closed Access | Times Cited: 2
Jiahao Qian, Yang Li, Jialiang Hou, et al.
Journal of materials research/Pratt's guide to venture capital sources (2024) Vol. 39, Iss. 15, pp. 2115-2130
Closed Access | Times Cited: 2
Extreme high accuracy prediction and design of Fe-C-Cr-Mn-Si steel using machine learning
Hao Wu, Jianyuan Zhang, Jintao Zhang, et al.
Materials & Design (2024), pp. 113473-113473
Open Access | Times Cited: 1
Hao Wu, Jianyuan Zhang, Jintao Zhang, et al.
Materials & Design (2024), pp. 113473-113473
Open Access | Times Cited: 1
Intelligent Design of High Strength and High Conductivity Copper Alloys Using Machine Learning Assisted by Genetic Algorithm
Parth Khandelwal, I. Manna
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 79, Iss. 1, pp. 1727-1755
Open Access
Parth Khandelwal, I. Manna
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 79, Iss. 1, pp. 1727-1755
Open Access
Enhancing Wear Resistance of Ti6al4v Alloy by Laser Cladding Tinbzrcrmo High-Entropy Alloy Coatings Induced by Dual-Scale Enhanced Laves Phase
Shuaichao Yuan, Leilei Wang, Longxiang Sun, et al.
(2024)
Closed Access
Shuaichao Yuan, Leilei Wang, Longxiang Sun, et al.
(2024)
Closed Access
Enhancing Wear Resistance of Ti6al4v Alloy by Laser Cladding Tinbzrcrmo High-Entropy Alloy Coatings Induced by Dual-Scale Enhanced Laves Phase
Shuaichao Yuan, Jeff Wang, Longxiang Sun, et al.
(2024)
Closed Access
Shuaichao Yuan, Jeff Wang, Longxiang Sun, et al.
(2024)
Closed Access
