Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 for high-entropy alloys: Progress, challenges and opportunities
Xianglin Liu, Jiaxin Zhang, Zongrui Pei
Progress in Materials Science (2022) Vol. 131, pp. 101018-101018
Open Access | Times Cited: 196

Showing 1-25 of 196 citing articles:

High-entropy alloys in electrocatalysis: from fundamentals to applications
Jin‐Tao Ren, Lei Chen, Haoyu Wang, et al.
Chemical Society Reviews (2023) Vol. 52, Iss. 23, pp. 8319-8373
Closed Access | Times Cited: 165
Optimization strategies of high-entropy alloys for electrocatalytic applications
Liyuan Xiao, Zhenlü Wang, Jingqi Guan
Chemical Science (2023) Vol. 14, Iss. 45, pp. 12850-12868
Open Access | Times Cited: 74
Materials design for hypersonics
Adam B. Peters, Dajie Zhang, Samuel Chen, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 70
Bayesian optimization with active learning of design constraints using an entropy-based approach
Danial Khatamsaz, Brent Vela, Prashant Singh, et al.
npj Computational Materials (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 60
High‐Entropy Photothermal Materials
Cheng‐Yu He, Yang Li, Zhuo‐Hao Zhou, et al.
Advanced Materials (2024) Vol. 36, Iss. 24
Closed Access | Times Cited: 40
Machine Learning Aided Design and Optimization of Thermal Metamaterials
Changliang Zhu, Emmanuel Anuoluwa Bamidele, Xiangying Shen, et al.
Chemical Reviews (2024) Vol. 124, Iss. 7, pp. 4258-4331
Open Access | Times Cited: 37
Enhancing the mechanical properties of high-entropy alloys through severe plastic deformation: A review
Majid Naseri, Ahmad Ostovari Moghadam, Mariappan Anandkumar, et al.
Journal of Alloys and Metallurgical Systems (2024) Vol. 5, pp. 100054-100054
Open Access | Times Cited: 32
Multifunctional high-entropy materials
Liuliu Han, Shuya Zhu, Ziyuan Rao, et al.
Nature Reviews Materials (2024)
Closed Access | Times Cited: 30
Irradiation performance of high entropy ceramics: A comprehensive comparison with conventional ceramics and high entropy alloys
Shasha Huang, Jun Zhang, Haijun Fu, et al.
Progress in Materials Science (2024) Vol. 143, pp. 101250-101250
Closed Access | Times Cited: 29
Emerging high-entropy compounds for electrochemical energy storage and conversion
Da Liu, Peifang Guo, Hongge Pan, et al.
Progress in Materials Science (2024) Vol. 145, pp. 101300-101300
Closed Access | Times Cited: 25
Materials Containing Single‐, Di‐, Tri‐, and Multi‐Metal Atoms Bonded to C, N, S, P, B, and O Species as Advanced Catalysts for Energy, Sensor, and Biomedical Applications
Jitendra N. Tiwari, Krishan Kumar, Moein Safarkhani, et al.
Advanced Science (2024) Vol. 11, Iss. 33
Open Access | Times Cited: 24
Frontiers in high entropy alloys and high entropy functional materials
Wentao Zhang, Xueqian Wang, Fengqi Zhang, et al.
Rare Metals (2024) Vol. 43, Iss. 10, pp. 4639-4776
Closed Access | Times Cited: 23
Machine learning assisted design of high-entropy alloys with ultra-high microhardness and unexpected low density
Shunli Zhao, Bin Jiang, Kaikai Song, et al.
Materials & Design (2024) Vol. 238, pp. 112634-112634
Open Access | Times Cited: 17
Rationally Designed Air Electrode Boosting Electrochemical Performance of Protonic Ceramic Cells
Chunmei Tang, Baoyin Yuan, Xiaohan Zhang, et al.
Advanced Energy Materials (2025)
Closed Access | Times Cited: 3
A Comprehensive Review on Hot Deformation Behavior of High-Entropy Alloys for High Temperature Applications
Reliance Jain, Sandeep Jain, Cheenepalli Nagarjuna, et al.
Metals and Materials International (2025)
Closed Access | Times Cited: 3
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
Hamidreza Yazdani Sarvestani, Surabhi Nadigotti, Erfan Fatehi, et al.
Advanced Engineering Materials (2025)
Open Access | Times Cited: 2
Artificial intelligence interventions in 2D MXenes-based photocatalytic applications
Durga Madhab Mahapatra, Ashish Kumar, Rajesh Kumar, et al.
Coordination Chemistry Reviews (2025) Vol. 529, pp. 216460-216460
Closed Access | Times Cited: 2
Reducing experimental dependency: Machine-learning-based prediction of Co effects on the mechanical properties of AlCrFeNiCox high-entropy alloys
Sandeep Jain, Reliance Jain, Naresh Kumar Wagri, et al.
Materials Today Communications (2025), pp. 112055-112055
Closed Access | Times Cited: 2
Hierarchical Gaussian process-based Bayesian optimization for materials discovery in high entropy alloy spaces
Sk Md Ahnaf Akif Alvi, Jan Janßen, Danial Khatamsaz, et al.
Acta Materialia (2025), pp. 120908-120908
Closed Access | Times Cited: 2
High‐performance ferroelectric based materials via high‐entropy strategy: Design, properties, and mechanism
Yueyun Zhang, Liang Chen, Hui Liu, et al.
InfoMat (2023) Vol. 5, Iss. 12
Open Access | Times Cited: 42
Toward the design of ultrahigh-entropy alloys via mining six million texts
Zongrui Pei, Junqi Yin, Peter K. Liaw, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 41
Recent advances and outstanding challenges for implementation of high entropy alloys as structural materials
Mikhail Slobodyan, Evgeniy Pesterev, A. B. Markov
Materials Today Communications (2023) Vol. 36, pp. 106422-106422
Closed Access | Times Cited: 41
Current application status of multi-scale simulation and machine learning in research on high-entropy alloys
Deyu Jiang, Lechun Xie, Liqiang Wang
Journal of Materials Research and Technology (2023) Vol. 26, pp. 1341-1374
Open Access | Times Cited: 40
Machine-learning-guided phase identification and hardness prediction of Al-Co-Cr-Fe-Mn-Nb-Ni-V containing high entropy alloys
Reliance Jain, Unhae Lee, Sumanta Samal, et al.
Journal of Alloys and Compounds (2023) Vol. 956, pp. 170193-170193
Closed Access | Times Cited: 32
Machine Learning Paves the Way for High Entropy Compounds Exploration: Challenges, Progress, and Outlook
Xuhao Wan, Zeyuan Li, Wei Yu, et al.
Advanced Materials (2023)
Closed Access | Times Cited: 31
Page 1 - Next Page

Scroll to top