
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:
A focused review on machine learning aided high-throughput methods in high entropy alloy
Ling Qiao, Yong Liu, Jingchuan Zhu
Journal of Alloys and Compounds (2021) Vol. 877, pp. 160295-160295
Closed Access | Times Cited: 107
Ling Qiao, Yong Liu, Jingchuan Zhu
Journal of Alloys and Compounds (2021) Vol. 877, pp. 160295-160295
Closed Access | Times Cited: 107
Showing 1-25 of 107 citing articles:
Material machine learning for alloys: Applications, challenges and perspectives
Xiujuan Liu, Pengcheng Xu, Juanjuan Zhao, et al.
Journal of Alloys and Compounds (2022) Vol. 921, pp. 165984-165984
Closed Access | Times Cited: 91
Xiujuan Liu, Pengcheng Xu, Juanjuan Zhao, et al.
Journal of Alloys and Compounds (2022) Vol. 921, pp. 165984-165984
Closed Access | Times Cited: 91
Multifunctional high-entropy materials
Liuliu Han, Shuya Zhu, Ziyuan Rao, et al.
Nature Reviews Materials (2024)
Closed Access | Times Cited: 30
Liuliu Han, Shuya Zhu, Ziyuan Rao, et al.
Nature Reviews Materials (2024)
Closed Access | Times Cited: 30
The integral role of high‐entropy alloys in advancing solid‐state hydrogen storage
Zhao Ding, Yuting Li, Han Jiang, et al.
Interdisciplinary materials (2024)
Open Access | Times Cited: 20
Zhao Ding, Yuting Li, Han Jiang, et al.
Interdisciplinary materials (2024)
Open Access | Times Cited: 20
Hardness prediction of high entropy alloys with machine learning and material descriptors selection by improved genetic algorithm
Shuai Li, Shu Li, Dongrong Liu, et al.
Computational Materials Science (2022) Vol. 205, pp. 111185-111185
Closed Access | Times Cited: 59
Shuai Li, Shu Li, Dongrong Liu, et al.
Computational Materials Science (2022) Vol. 205, pp. 111185-111185
Closed Access | Times Cited: 59
Post-processing of additively manufactured high-entropy alloys - A review
Hasti Khodashenas, Hamed Mirzadeh
Journal of Materials Research and Technology (2022) Vol. 21, pp. 3795-3814
Open Access | Times Cited: 46
Hasti Khodashenas, Hamed Mirzadeh
Journal of Materials Research and Technology (2022) Vol. 21, pp. 3795-3814
Open Access | Times Cited: 46
Designing novel AlCoCrNi eutectic high entropy alloys
Qingqi Liu, Xingshuo Liu, Xiaofeng Fan, et al.
Journal of Alloys and Compounds (2022) Vol. 904, pp. 163775-163775
Closed Access | Times Cited: 43
Qingqi Liu, Xingshuo Liu, Xiaofeng Fan, et al.
Journal of Alloys and Compounds (2022) Vol. 904, pp. 163775-163775
Closed Access | Times Cited: 43
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
Mikhail Slobodyan, Evgeniy Pesterev, A. B. Markov
Materials Today Communications (2023) Vol. 36, pp. 106422-106422
Closed Access | Times Cited: 41
Experimental study platform for electrocatalysis of atomic-level controlled high-entropy alloy surfaces
Yoshihiro Chida, Takeru Tomimori, Tomoaki Ebata, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 40
Yoshihiro Chida, Takeru Tomimori, Tomoaki Ebata, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 40
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
Xuhao Wan, Zeyuan Li, Wei Yu, et al.
Advanced Materials (2023)
Closed Access | Times Cited: 31
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: 28
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: 28
A review on high-throughput development of high-entropy alloys by combinatorial methods
Shahryar Mooraj, Wen Chen
Journal of Materials Informatics (2023) Vol. 3, Iss. 1, pp. 4-4
Open Access | Times Cited: 28
Shahryar Mooraj, Wen Chen
Journal of Materials Informatics (2023) Vol. 3, Iss. 1, pp. 4-4
Open Access | Times Cited: 28
Review on the preparation methods and strengthening mechanisms of medium-entropy alloys with CoCrNi as the main focus
Hua He, Yuhua Wang, Yajuan Qi, et al.
Journal of Materials Research and Technology (2023) Vol. 27, pp. 6275-6307
Open Access | Times Cited: 28
Hua He, Yuhua Wang, Yajuan Qi, et al.
Journal of Materials Research and Technology (2023) Vol. 27, pp. 6275-6307
Open Access | Times Cited: 28
Multicomponent alloys design and mechanical response: From high entropy alloys to complex concentrated alloys
Manuel Cabrera, Yovany Oropesa, Juan Pablo Sanhueza, et al.
Materials Science and Engineering R Reports (2024) Vol. 161, pp. 100853-100853
Closed Access | Times Cited: 16
Manuel Cabrera, Yovany Oropesa, Juan Pablo Sanhueza, et al.
Materials Science and Engineering R Reports (2024) Vol. 161, pp. 100853-100853
Closed Access | Times Cited: 16
Machine learning guided constitutive model and processing map for Fe2Ni2CrAl1.2 multi-principle element alloys
Ling Qiao, Junya Inoue, Jingchuan Zhu
Journal of Materials Research and Technology (2024) Vol. 29, pp. 353-363
Open Access | Times Cited: 13
Ling Qiao, Junya Inoue, Jingchuan Zhu
Journal of Materials Research and Technology (2024) Vol. 29, pp. 353-363
Open Access | Times Cited: 13
Advances in materials informatics: a review
Dawn Sivan, K. Satheesh Kumar, Aziman Abdullah, et al.
Journal of Materials Science (2024) Vol. 59, Iss. 7, pp. 2602-2643
Closed Access | Times Cited: 13
Dawn Sivan, K. Satheesh Kumar, Aziman Abdullah, et al.
Journal of Materials Science (2024) Vol. 59, Iss. 7, pp. 2602-2643
Closed Access | Times Cited: 13
Designing the composition and optimizing the mechanical properties of non-equiatomic FeCoNiTi high-entropy alloys
Wei Li, Qing Gao, Junqiang Ren, et al.
Journal of Materials Research and Technology (2024) Vol. 29, pp. 376-385
Open Access | Times Cited: 9
Wei Li, Qing Gao, Junqiang Ren, et al.
Journal of Materials Research and Technology (2024) Vol. 29, pp. 376-385
Open Access | Times Cited: 9
Challenges and Strategies for Synthesizing High Performance Micro and Nanoscale High Entropy Oxide Materials
Liang Zhang, Jiru Jia, Jianhua Yan
Small (2024) Vol. 20, Iss. 28
Closed Access | Times Cited: 9
Liang Zhang, Jiru Jia, Jianhua Yan
Small (2024) Vol. 20, Iss. 28
Closed Access | Times Cited: 9
Comprehensive insights into recent innovations: Magnesium-inclusive high-entropy alloys
Andrii Babenko, Ehsan Ghasali, Saleem Raza, et al.
Journal of Magnesium and Alloys (2024) Vol. 12, Iss. 4, pp. 1311-1345
Open Access | Times Cited: 9
Andrii Babenko, Ehsan Ghasali, Saleem Raza, et al.
Journal of Magnesium and Alloys (2024) Vol. 12, Iss. 4, pp. 1311-1345
Open Access | Times Cited: 9
Machine learning studies for magnetic compositionally complex alloys: A critical review
Xin Li, C.H. Shek, Peter K. Liaw, et al.
Progress in Materials Science (2024) Vol. 146, pp. 101332-101332
Closed Access | Times Cited: 9
Xin Li, C.H. Shek, Peter K. Liaw, et al.
Progress in Materials Science (2024) Vol. 146, pp. 101332-101332
Closed Access | Times Cited: 9
PINNs-MPF: A Physics-Informed Neural Network framework for Multi-Phase-Field simulation of interface dynamics
Seifallah Fetni, Reza Darvishi Kamachali
Engineering Analysis with Boundary Elements (2025) Vol. 176, pp. 106200-106200
Open Access | Times Cited: 1
Seifallah Fetni, Reza Darvishi Kamachali
Engineering Analysis with Boundary Elements (2025) Vol. 176, pp. 106200-106200
Open Access | Times Cited: 1
Additive manufacturing of in-situ strengthened dual-phase AlCoCuFeNi high-entropy alloy by selective electron beam melting
Mina Zhang, Xianglin Zhou, Dafeng Wang, et al.
Journal of Alloys and Compounds (2021) Vol. 893, pp. 162259-162259
Closed Access | Times Cited: 44
Mina Zhang, Xianglin Zhou, Dafeng Wang, et al.
Journal of Alloys and Compounds (2021) Vol. 893, pp. 162259-162259
Closed Access | Times Cited: 44
Enhancing mechanical properties of the boron doped Al0.2Co1.5CrFeNi1.5Ti0.5 high entropy alloy via tuning composition and microstructure
Benbin Xin, Aijun Zhang, Jiesheng Han, et al.
Journal of Alloys and Compounds (2021) Vol. 896, pp. 162852-162852
Closed Access | Times Cited: 42
Benbin Xin, Aijun Zhang, Jiesheng Han, et al.
Journal of Alloys and Compounds (2021) Vol. 896, pp. 162852-162852
Closed Access | Times Cited: 42
Phase prediction and effect of intrinsic residual strain on phase stability in high-entropy alloys with machine learning
Huinan Chang, Yiwen Tao, Peter K. Liaw, et al.
Journal of Alloys and Compounds (2022) Vol. 921, pp. 166149-166149
Open Access | Times Cited: 38
Huinan Chang, Yiwen Tao, Peter K. Liaw, et al.
Journal of Alloys and Compounds (2022) Vol. 921, pp. 166149-166149
Open Access | Times Cited: 38
Phase Prediction in High Entropy Alloys by Various Machine Learning Modules Using Thermodynamic and Configurational Parameters
Pritam Mandal, Amitava Choudhury, A. Basumallick, et al.
Metals and Materials International (2022) Vol. 29, Iss. 1, pp. 38-52
Closed Access | Times Cited: 37
Pritam Mandal, Amitava Choudhury, A. Basumallick, et al.
Metals and Materials International (2022) Vol. 29, Iss. 1, pp. 38-52
Closed Access | Times Cited: 37
Constitutive modeling of hot deformation behavior of AlCrFeNi multi-component alloy
Ling Qiao, Jingchuan Zhu
Vacuum (2022) Vol. 201, pp. 111059-111059
Closed Access | Times Cited: 32
Ling Qiao, Jingchuan Zhu
Vacuum (2022) Vol. 201, pp. 111059-111059
Closed Access | Times Cited: 32