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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:

Machine learning combined with solid solution strengthening model for predicting hardness of high entropy alloys
Yifan Zhang, Wei Ren, Weili Wang, et al.
Acta Physica Sinica (2023) Vol. 72, Iss. 18, pp. 180701-180701
Open Access | Times Cited: 4

Showing 4 citing articles:

A yield strength prediction framework for refractory high-entropy alloys based on machine learning
Shujian Ding, Weili Wang, Yifan Zhang, et al.
International Journal of Refractory Metals and Hard Materials (2024), pp. 106884-106884
Closed Access | Times Cited: 4
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
A New Phase Classifier with an Optimized Feature Set in ML-Based Phase Prediction of High-Entropy Alloys
Yifan Zhang, Wei Ren, Weili Wang, et al.
Applied Sciences (2023) Vol. 13, Iss. 20, pp. 11327-11327
Open Access | Times Cited: 1
A Yield Strength Prediction Framework for Refractory High-Entropy Alloys Based on Machine Learning
Shi‐Jin Ding, Weili Wang, Yunfeng Zhang, et al.
(2024)
Closed Access
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