OpenAlex Citation Counts

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:

Convolutional neural network guided prediction of saturation magnetic flux density of Fe-based metallic glasses
Chunghee Nam
Computational Materials Science (2023) Vol. 225, pp. 112198-112198
Closed Access | Times Cited: 8

Showing 8 citing articles:

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

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

Magnetocaloric properties predicted by deep learning with compositional features for bulk metallic glasses
Chunghee Nam
Journal of Non-Crystalline Solids (2023) Vol. 624, pp. 122723-122723
Closed Access | Times Cited: 2

Magnetism in Bulk and Thin Film Metallic Glass Systems
Debarati Bhattacharya
Indian Institute of Metals series (2024), pp. 427-444
Closed Access

Machine Learning Application for Functional Properties Prediction in Magnetic Materials
V. A. Milyutin, N. N. Nikulchenkov
The Physics of Metals and Metallography (2024) Vol. 125, Iss. 12, pp. 1351-1366
Closed Access

Artificial Neural Network Supported Prediction of Magnetic Properties of Bulk Metallic Glasses
Chunghee Nam
Korean Journal of Materials Research (2023) Vol. 33, Iss. 7, pp. 273-278
Open Access

Magnetocaloric Properties Predicted by Deep Learning with Compositional Features for Bulk Metallic Glasses
Chunghee Nam
(2023)
Closed Access

Deep Learning-Based Prediction of Saturation Magnetic Flux Density in Fe-Based Metallic Glasses Via Transfer Learning
Chunghee Nam
(2023)
Closed Access

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Requested Article:

Showing 8 citing articles:

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