Open Access Helper

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 aided process design of Fe-Cr-Ni-Al/Ti multi-principal element alloys for excellent mechanical properties
Kang Xu, Li Zhang, Chunyan Bai, et al.
Computational Materials Science (2023) Vol. 232, pp. 112660-112660
Closed Access | Times Cited: 4

Showing 4 citing articles:

Accelerated design of high-entropy alloy coatings for high corrosion resistance via machine learning
Hongxu Cheng, Hong Luo, C.G. Fan, et al.
Surface and Coatings Technology (2025), pp. 131978-131978
Closed Access | Times Cited: 1
A novel approach to predict the effect of chemical composition and thermo-mechanical processing parameters on Cu–Ni–Si alloys using a hybrid deep learning and ensemble learning model
Mihail Kolev
Composites Communications (2024) Vol. 48, pp. 101903-101903
Open Access | Times Cited: 5
Intelligent design of Fe-Cr-Ni-Al/Ti multi-principal element alloys based on machine learning
Kang Xu, Zhengming Sun, Jian Tu, et al.
Journal of Materials Research and Technology (2025)
Open Access
Efficient alloy design strategy for fast searching for high-entropy alloys with desired mechanical properties
Junjie Gong, Yan Li, S.-J. Liang, et al.
Materials & Design (2024) Vol. 245, pp. 113260-113260
Open Access | Times Cited: 2
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