
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 assisted optimization of soft magnetic properties in ternary Fe–Si–Al alloys
V. A. Milyutin, Radovan Búreš, Mária Fáberová, et al.
Journal of Materials Research and Technology (2024) Vol. 29, pp. 5060-5073
Open Access | Times Cited: 7
V. A. Milyutin, Radovan Búreš, Mária Fáberová, et al.
Journal of Materials Research and Technology (2024) Vol. 29, pp. 5060-5073
Open Access | Times Cited: 7
Showing 7 citing articles:
Prediction of post-irradiation swelling rate of 316L stainless steel based on Variational Autoencoders and interpretable machine learning
Chengcheng Liu, Hang Su
Nuclear Materials and Energy (2025), pp. 101879-101879
Open Access
Chengcheng Liu, Hang Su
Nuclear Materials and Energy (2025), pp. 101879-101879
Open Access
A Review of Artificial Intelligence‐Driven Innovations in Soft Magnetic Materials Optimization: Current Trends and Future Horizons
Yichuan Tang, Shaopeng Liu, Silong Li, et al.
MetalMat (2025)
Open Access
Yichuan Tang, Shaopeng Liu, Silong Li, et al.
MetalMat (2025)
Open Access
Machine learning-based prediction of FeNi nanoparticle magnetization
F. Williamson, Nadhir Naciff, Carlos Catania, et al.
Journal of Materials Research and Technology (2024)
Open Access | Times Cited: 1
F. Williamson, Nadhir Naciff, Carlos Catania, et al.
Journal of Materials Research and Technology (2024)
Open Access | Times Cited: 1
Active learning-enabled the discovery of ultra-high saturation magnetization soft magnetic alloys
Yahao Li, Enyu Jiang, Kaijia Hu, et al.
Scripta Materialia (2024) Vol. 257, pp. 116485-116485
Closed Access
Yahao Li, Enyu Jiang, Kaijia Hu, et al.
Scripta Materialia (2024) Vol. 257, pp. 116485-116485
Closed Access
Robustness of Machine Learning Predictions for Fe-Co-Ni Alloys Prepared by Various Synthesis Methods
Shakti P. Padhy, Soumya Ranjan Mishra, Li Ping Tan, et al.
iScience (2024) Vol. 28, Iss. 1, pp. 111580-111580
Open Access
Shakti P. Padhy, Soumya Ranjan Mishra, Li Ping Tan, et al.
iScience (2024) Vol. 28, Iss. 1, pp. 111580-111580
Open 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
V. A. Milyutin, N. N. Nikulchenkov
The Physics of Metals and Metallography (2024) Vol. 125, Iss. 12, pp. 1351-1366
Closed Access
Sendust Alloy: A Review on the Synthesis, Structure, Magnetic Properties, and Applications
M. Mozaffari, M. Amoohadi
The Physics of Metals and Metallography (2024) Vol. 125, Iss. S1, pp. S62-S71
Closed Access
M. Mozaffari, M. Amoohadi
The Physics of Metals and Metallography (2024) Vol. 125, Iss. S1, pp. S62-S71
Closed Access