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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:

Discovering a formula for the high temperature oxidation behavior of FeCrAlCoNi based high entropy alloys by domain knowledge-guided machine learning
Qinghua Wei, Bin Cao, Lucheng Deng, et al.
Journal of Material Science and Technology (2023) Vol. 149, pp. 237-246
Closed Access | Times Cited: 18

Showing 18 citing articles:

Review of progress in calculation and simulation of high-temperature oxidation
Dongxin Gao, Zhao Shen, Kai Chen, et al.
Progress in Materials Science (2024) Vol. 147, pp. 101348-101348
Closed Access | Times Cited: 60
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: 36
Exploring the oxidation behaviors of the Ti V Cr Mo high-entropy MAX at 800 °C for its self-lubricity
Cheng‐Feng Du, Yaqing Xue, Hongwei Liang, et al.
Journal of Material Science and Technology (2024) Vol. 187, pp. 49-62
Closed Access | Times Cited: 8
Accelerating the Exploration of High‐Entropy Alloys: Synergistic Effects of Integrating Computational Simulation and Experiments
Deyu Jiang, Yuhua Li, Liqiang Wang, et al.
Small Structures (2024) Vol. 5, Iss. 10
Open Access | Times Cited: 7
Predicting the oxidation kinetic rate and near-surface microstructural evolution of alumina-forming Ni-based single crystal superalloy based on machine learning
Fan Yang, Wenyue Zhao, Yi Ru, et al.
Acta Materialia (2024) Vol. 266, pp. 119703-119703
Closed Access | Times Cited: 6
Active learning accelerates the discovery of high strength and high ductility lead-free solder alloys
Bin Cao, Tianhao Su, Shuting Yu, et al.
Materials & Design (2024) Vol. 241, pp. 112921-112921
Open Access | Times Cited: 6
Predictor−corrector inverse design scheme for property−composition prediction of amorphous alloys
Long Tao, Zhilin Long, Bo Pang
Transactions of Nonferrous Metals Society of China (2025) Vol. 35, Iss. 1, pp. 169-183
Open Access
Machine learning and high-throughput computational guided development of high temperature oxidation-resisting Ni-Co-Cr-Al-Fe based high-entropy alloys
Xingru Tan, William Trehern, Aditya Sundar, et al.
npj Computational Materials (2025) Vol. 11, Iss. 1
Open Access
Divide and conquer: Machine learning accelerated design of lead-free solder alloys with high strength and high ductility
Qinghua Wei, Bin Cao, Hao Yuan, et al.
npj Computational Materials (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 9
Data-driven atmospheric corrosion prediction model for alloys based on a two-stage machine learning approach
Qian Chen, Han Wang, Haodi Ji, et al.
Process Safety and Environmental Protection (2024) Vol. 188, pp. 1093-1105
Closed Access | Times Cited: 3
New lightweight high-entropy alloy coatings: Design concept, experimental characterization, and high-temperature oxidation behaviors
Jianyan Xu, Wenping Liang, Qiang Miao, et al.
Surface and Coatings Technology (2024) Vol. 491, pp. 131154-131154
Closed 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
Applications of machine learning method in high-performance materials design: a review
Junhao Yuan, Zhen Li, Yujia Yang, et al.
Journal of Materials Informatics (2024) Vol. 4, Iss. 3
Open Access | Times Cited: 2
Interpretability study on prediction models for alloy pitting based on ensemble learning
Yuhui Song, Qinying Wang, Yuchen Xi, et al.
Corrosion Science (2023) Vol. 228, pp. 111790-111790
Closed Access | Times Cited: 5
Composition optimization of cobalt-free Fe-Cr-Ni-Al/Ti multi-principal element alloys for strength-ductility trade-off based on machine learning
Kang Xu, Jin-hua An, Li Zhang, et al.
Materials Today Communications (2023) Vol. 36, pp. 106498-106498
Closed Access | Times Cited: 2
Effect of MXene Ti3C2Tx in situ formed TiCx on oxidation behavior of high chromium white iron
Jipeng Jiang, Yunjin Lai, Shaoqiang Li
Inorganic Chemistry Communications (2024) Vol. 166, pp. 112651-112651
Closed Access
Active Learning Accelerates the Discovery of High Strength and High Ductility Lead-Free Solder Alloys
Bin Cao, Tianhao Su, Shuting Yu, et al.
(2024)
Closed Access
Divide and conquer： Machine learning accelerated design of lead-free solder alloys with high strength and high ductility
Tong‐Yi Zhang, Qinghua Wei, Bin Cao, et al.
Research Square (Research Square) (2023)
Open Access
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