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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:

A neural network model for high entropy alloy design
Jaemin Wang, Hyeonseok Kwon, Hyoung Seop Kim, et al.
npj Computational Materials (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Multiscale plastic deformation in additively manufactured FeCoCrNiMo high-entropy alloys to achieve strength–ductility synergy at elevated temperatures
Danyang Lin, Jixu Hu, Renhao Wu, et al.
International Journal of Plasticity (2024), pp. 104142-104142
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: 16
High-throughput and data-driven machine learning techniques for discovering high-entropy alloys
Lu Zhichao, Dong Ma, Liu Xiongjun, et al.
Communications Materials (2024) Vol. 5, Iss. 1
Open Access | Times Cited: 14
A comparative study of predicting high entropy alloy phase fractions with traditional machine learning and deep neural networks
Shusen Liu, Brandon Bocklund, James Diffenderfer, et al.
npj Computational Materials (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 10
Recent progress in high-entropy alloys for laser powder bed fusion: Design, processing, microstructure, and performance
Asker Jarlöv, Zhiguang Zhu, Weiming Ji, et al.
Materials Science and Engineering R Reports (2024) Vol. 161, pp. 100834-100834
Closed Access | Times Cited: 10
Effect of temperature on the mechanical properties of Ni-based superalloys via molecular dynamics and crystal plasticity
Y.-Z. Liu, Zhanyang Shi, Y.-B. Zhang, et al.
Journal of Material Science and Technology (2024) Vol. 203, pp. 126-142
Closed Access | Times Cited: 9
Machine learning assisted development of Heusler alloys for high magnetic moment
Kai Liu, Bingxin Ge, Fangyu Liu, et al.
Computational Materials Science (2025) Vol. 250, pp. 113692-113692
Closed Access | Times Cited: 1
A review of high-entropy materials with their unique applications
Juanna Ren, Vilas Y. Kumkale, Hua Hou, et al.
Advanced Composites and Hybrid Materials (2025) Vol. 8, Iss. 2
Open Access | Times Cited: 1
Multiscale computational model of TWIP and TRIP in medium/high entropy alloys
Y.-Z. Liu, Junsheng Wang, Sehyun Oh, et al.
Journal of Alloys and Compounds (2025), pp. 179770-179770
Closed Access | Times Cited: 1
Lattice Distortion Promotes Incipient Plasticity in Multiprincipal Element Alloys
Luling Wang, Yang Cao, Yonghao Zhao
Nano Letters (2024) Vol. 24, Iss. 29, pp. 9004-9010
Closed Access | Times Cited: 7
Synergistic Strength-Ductility enhancement of CoCrFeNi high-entropy alloys with regulated Co/Cr atomic ratios
Zhilin Shi, Yazhou Liu, Haoran Zhang, et al.
Materials Science and Engineering A (2024) Vol. 912, pp. 146995-146995
Closed Access | Times Cited: 7
Deep learning-based prediction of saturation magnetic flux density in Fe-based metallic glasses via transfer learning
Chunghee Nam
Materials Chemistry and Physics (2024) Vol. 315, pp. 129076-129076
Closed Access | Times Cited: 4
Atomistic investigation of effect of alloying on mechanical properties and microstructural evolution of ternary FeCo-X (X = V, Nb, Mo, W)
Mario Muralles, Joo Tien Oh, Zhong Chen
Computational Materials Science (2024) Vol. 241, pp. 113030-113030
Closed Access | Times Cited: 4
Critical raw material-free multi-principal alloy design for a net-zero future
Swati Singh, Mingwen Bai, A. Matthews, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Convolutional neural network-based prediction of hardness in bulk metallic glasses with small data
Chunghee Nam
Journal of Non-Crystalline Solids (2025) Vol. 654, pp. 123451-123451
Closed Access
Elemental numerical descriptions to enhance classification and regression model performance for high-entropy alloys
Yan Zhang, Cheng Wen, Pengfei Dang, et al.
npj Computational Materials (2025) Vol. 11, Iss. 1
Open Access
High entropy alloy property predictions using a transformer-based language model
Spyros Kamnis, Konstantinos K. Delibasis
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Evaluating Machine Learning Models for Predicting Hardness of AlCoCrCuFeNi High-Entropy Alloys
Uma Maheshwera Reddy Paturi, Muhammad Ishtiaq, P.L. Narayana, et al.
Crystals (2025) Vol. 15, Iss. 5, pp. 404-404
Open Access
Unlocking the Black Box beyond Bayesian Global Optimization for Materials Design using Reinforcement Learning
Yuehui Xian, Xiangdong Ding, Xue Jiang, et al.
(2025)
Closed Access
Machine learning assisted design of reactor steels with high long-term strength and toughness
I. E. Trofimov, Pavel Korotaev, Ivan Ivanov, et al.
Materials & Design (2025), pp. 114014-114014
Open 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
Machine learning-aided phase and mechanical properties prediction in multi-principal element alloys
Ehsan Gerashi, Mahdi Pourbaghi, Xili Duan, et al.
Computational Materials Science (2024) Vol. 243, pp. 113114-113114
Closed Access | Times Cited: 2
Tailoring strength and ductility in novel Ni50Cr20Co15Al10V5 high entropy alloys by cold-rolling followed by aging treatment
Qiancheng Zhao, Wenkui Hao, Hong Luo, et al.
Materials Science and Engineering A (2024), pp. 147568-147568
Closed Access | Times Cited: 1
The effects of different factors on obstacle strength of irradiation defects: An atomistic study
Pandong Lin, Jun-feng Nie, Yu‐peng Lu, et al.
Nuclear Engineering and Technology (2024) Vol. 56, Iss. 6, pp. 2282-2291
Open Access | Times Cited: 1
Optimizing High-Entropy Alloys using Deep Neural Networks
Stefanos Papanikolaou, Danial Jahed Armaghani, Ahmed Salih Mohammed, et al.
Materialia (2024) Vol. 36, pp. 102162-102162
Closed Access | Times Cited: 1
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