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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:

Explicit expressions of the saturation flux density and thermal stability in Fe-based metallic glasses based on Lasso regression
Zhuang Li, Zhilin Long, Shan Lei, et al.
Intermetallics (2021) Vol. 139, pp. 107361-107361
Closed Access | Times Cited: 10

Showing 10 citing articles:

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: 6
Determinants of saturation magnetic flux density in Fe-based metallic glasses: insights from machine-learning models
Jie Xiong, Bowen Bai, Haoran Jiang, et al.
Rare Metals (2024) Vol. 43, Iss. 10, pp. 5256-5267
Closed Access | Times Cited: 5
Exploring the potential of microscopic hyperspectral, Raman, and LIBS for nondestructive quality assessment of diverse rice samples
Xin Zhang, Sijia Jiang, Bingjie Lu, et al.
Plant Methods (2025) Vol. 21, Iss. 1
Open Access
Prediction of Vickers hardness of amorphous alloys based on interpretable machine learning
Xiaowei Liu, Zhilin Long, Peng Li
Journal of Non-Crystalline Solids (2022) Vol. 602, pp. 122095-122095
Closed Access | Times Cited: 24
Optimal Evacuation Route Planning of Urban Personnel at Different Risk Levels of Flood Disasters Based on the Improved 3D Dijkstra’s Algorithm
Yang Zhu, Hong Li, Zhenhao Wang, et al.
Sustainability (2022) Vol. 14, Iss. 16, pp. 10250-10250
Open Access | Times Cited: 18
Machine learning driven rationally design of amorphous alloy with improved elastic models
Zhuang Li, Zhilin Long, Shan Lei, et al.
Materials & Design (2022) Vol. 220, pp. 110881-110881
Open Access | Times Cited: 16
Modelling and predicting liquid chromatography retention time for PFAS with no-code machine learning
Yunwu Fan, Yu Deng, Yi Yang, et al.
Environmental Science Advances (2023) Vol. 3, Iss. 2, pp. 198-207
Open Access | Times Cited: 7
Evaluating the corrosion resistance of marine steels under different exposure environments via machine learning
Zhuang Li, Zhilin Long, Shan Lei, et al.
Physica Scripta (2022) Vol. 98, Iss. 1, pp. 015402-015402
Closed Access | Times Cited: 8
Machine learning driven design of high-performance Al alloys
Z.P. Lu, Ishwar Kapoor, Yilin Li, et al.
Journal of Materials Informatics (2024) Vol. 4, Iss. 4
Open Access | Times Cited: 1
Throughput Analysis with Effect of Dimensionality Reduction on 5G Dataset using Machine Learning and Deep Learning Models
Mithillesh Kumar P, M. Supriya
(2022), pp. 1-7
Closed Access | Times Cited: 1
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