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:
Hysteresis Modelling in Additively Manufactured FeSi Magnetic Components for Electrical Machines and Drives
A. Faba, Francesco Riganti Fulginei, S. Quondam Antonio, et al.
IEEE Transactions on Industrial Electronics (2023) Vol. 71, Iss. 3, pp. 2188-2197
Closed Access | Times Cited: 8
A. Faba, Francesco Riganti Fulginei, S. Quondam Antonio, et al.
IEEE Transactions on Industrial Electronics (2023) Vol. 71, Iss. 3, pp. 2188-2197
Closed Access | Times Cited: 8
Showing 8 citing articles:
Recent Advances in Additive Manufacturing of Soft Magnetic Materials: A Review
Bryan Ramiro Rodríguez-Vargas, Giulia Stornelli, Paolo Folgarait, et al.
Materials (2023) Vol. 16, Iss. 16, pp. 5610-5610
Open Access | Times Cited: 31
Bryan Ramiro Rodríguez-Vargas, Giulia Stornelli, Paolo Folgarait, et al.
Materials (2023) Vol. 16, Iss. 16, pp. 5610-5610
Open Access | Times Cited: 31
3D printing of soft magnetic materials: From printing to applications
Fenghui Wang, Caiyin You, Na Tian, et al.
Journal of Alloys and Compounds (2024) Vol. 990, pp. 174486-174486
Closed Access | Times Cited: 9
Fenghui Wang, Caiyin You, Na Tian, et al.
Journal of Alloys and Compounds (2024) Vol. 990, pp. 174486-174486
Closed Access | Times Cited: 9
Efficient hysteresis characterization and prediction in 3D‐printed magnetic materials using deep learning
Michele Lo Giudice, Alessandro Salvini, M Stella, et al.
IET Science Measurement & Technology (2025) Vol. 19, Iss. 1
Open Access
Michele Lo Giudice, Alessandro Salvini, M Stella, et al.
IET Science Measurement & Technology (2025) Vol. 19, Iss. 1
Open Access
Experimental measurements and numerical modelling of additively manufactured Fe-Si cores
M Stella, A. Faba, Francesco Riganti Fulginei, et al.
Journal of Magnetism and Magnetic Materials (2024) Vol. 591, pp. 171752-171752
Open Access | Times Cited: 1
M Stella, A. Faba, Francesco Riganti Fulginei, et al.
Journal of Magnetism and Magnetic Materials (2024) Vol. 591, pp. 171752-171752
Open Access | Times Cited: 1
Neural Network Architectures and Magnetic Hysteresis: Overview and Comparisons
Silvia Licciardi, Guido Ala, Elisa Francomano, et al.
Mathematics (2024) Vol. 12, Iss. 21, pp. 3363-3363
Open Access | Times Cited: 1
Silvia Licciardi, Guido Ala, Elisa Francomano, et al.
Mathematics (2024) Vol. 12, Iss. 21, pp. 3363-3363
Open Access | Times Cited: 1
Failure Prevention Based on Principal Component Analysis and Machine Learning for Wireless Power Transfer Systems
Matteo Intravaia, Gabriele Maria Lozito, Lorenzo Becchi, et al.
(2024), pp. 213-218
Closed Access
Matteo Intravaia, Gabriele Maria Lozito, Lorenzo Becchi, et al.
(2024), pp. 213-218
Closed Access
Integration of Artificial Intelligence in Manufacturing Companies for Achieving Zero Waste – A Systematic Literature Review
Ludovica Miele, Francisco Fraile, Ana Esteso, et al.
IFIP advances in information and communication technology (2024), pp. 212-227
Closed Access
Ludovica Miele, Francisco Fraile, Ana Esteso, et al.
IFIP advances in information and communication technology (2024), pp. 212-227
Closed Access
Prediction of DC/DC Boost Converter Switching Power Losses Using a Backpropagation Algorithm Neural Network
Michele Quercio, Lorenzo Sabino, Gabriele Maria Lozito, et al.
(2024), pp. 449-452
Closed Access
Michele Quercio, Lorenzo Sabino, Gabriele Maria Lozito, et al.
(2024), pp. 449-452
Closed Access
