Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

An effective neural network approach to reproduce magnetic hysteresis in electrical steel under arbitrary excitation waveforms
S. Quondam Antonio, Francesco Riganti Fulginei, Antonino Laudani, et al.
Journal of Magnetism and Magnetic Materials (2021) Vol. 528, pp. 167735-167735
Closed Access | Times Cited: 48

Showing 1-25 of 48 citing articles:

Magnetic field assisted electrocatalytic oxygen evolution reaction of nickel-based materials
Yuanyuan Zhang, Ping Guo, Siwei Li, et al.
Journal of Materials Chemistry A (2021) Vol. 10, Iss. 4, pp. 1760-1767
Closed Access | Times Cited: 86
MagNet-AI: Neural Network as Datasheet for Magnetics Modeling and Material Recommendation
Haoran Li, Diego Serrano, Shukai Wang, et al.
IEEE Transactions on Power Electronics (2023) Vol. 38, Iss. 12, pp. 15854-15869
Open Access | Times Cited: 23
How MagNet: Machine Learning Framework for Modeling Power Magnetic Material Characteristics
Haoran Li, Diego Serrano, Thomas Guillod, et al.
IEEE Transactions on Power Electronics (2023) Vol. 38, Iss. 12, pp. 15829-15853
Open Access | Times Cited: 21
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
Identification of Preisach Model Parameters Based on an Improved Particle Swarm Optimization Method for Piezoelectric Actuators in Micro-Manufacturing Stages
Lei Yang, Bingxiao Ding, Wenhu Liao, et al.
Micromachines (2022) Vol. 13, Iss. 5, pp. 698-698
Open Access | Times Cited: 24
Deep neural networks for the efficient simulation of macro-scale hysteresis processes with generic excitation waveforms
S. Quondam Antonio, Francesco Riganti Fulginei, Antonino Laudani, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 121, pp. 105940-105940
Open Access | Times Cited: 12
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
Knowledge and data fusion-driven dynamical modeling approach for structures with hysteresis-affected uncertain boundaries
Chao Chen, Yilong Wang, Shuai Chen, et al.
Nonlinear Dynamics (2024)
Closed Access | Times Cited: 2
The Application of Neural Networks to the Modeling of Magnetic Hysteresis
Niilo Vuokila, Christos Cunning, Jayson Zhang, et al.
IEEE Transactions on Magnetics (2023) Vol. 60, Iss. 3, pp. 1-4
Closed Access | Times Cited: 6
Hybrid intelligent hysteresis model based on DBN-DNN algorithm and fusion Preisach operator
Yangyang Ma, Yongjian Li, Shuaichao Yue, et al.
Journal of Magnetism and Magnetic Materials (2021) Vol. 544, pp. 168663-168663
Closed Access | Times Cited: 13
Internal Characterization of Magnetic Cores, Comparison to Finite Element Simulations: A Route for Dimensioning and Condition Monitoring
Sorelle Hilary Nguedjang Kouakeuo, A. Solignac, Ruth V. Sabariego, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-10
Open Access | Times Cited: 9
Comparison of Control Strategies for Dual Active Bridge Converter
Fabio Corti, Vittorio Bertolini, Alberto Reatti, et al.
2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON) (2022)
Closed Access | Times Cited: 8
How MagNet: Machine Learning Framework for Modeling Power Magnetic Material Characteristics
Minjie Chen
(2023)
Open Access | Times Cited: 4
Circuit Modelling of Static Magnetic Losses of Ferrite Cores and Application on an LLC Converter
Vittorio Bertolini, M Stella, Riccardo Scorretti
(2023), pp. 429-433
Closed Access | Times Cited: 4
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
Neural Network Modeling of Complex Hysteresis Loops in Ferromagnetic Materials
Can Ding, Yaolong Bai, Yinbo Ji, et al.
IEEJ Transactions on Electrical and Electronic Engineering (2024)
Closed 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
Tracking control of dielectric elastomer actuators for soft robots based on inverse dynamic compensation method
Yawu Wang, Yue Zhang, Jundong Wu, et al.
Information Sciences (2021) Vol. 583, pp. 202-218
Closed Access | Times Cited: 10
Neural Network Modeling of Arbitrary Hysteresis Processes: Application to GO Ferromagnetic Steel
S. Quondam Antonio, V. Bonaiuto, F. Sargeni, et al.
Magnetochemistry (2022) Vol. 8, Iss. 2, pp. 18-18
Open Access | Times Cited: 7
Corrosion evaluation of carbon steel bars by magnetic non-destructive method
Aldecira Gadelha Diógenes, Elineudo Pinho de Moura, André da Silveira Machado, et al.
Nondestructive Testing And Evaluation (2022) Vol. 37, Iss. 3, pp. 315-331
Closed Access | Times Cited: 6
Research on the inverse vector hysteresis model with the deep learning parameter identification algorithm
Yangyang Ma, Yongjian Li, He Sun, et al.
Journal of Magnetism and Magnetic Materials (2022) Vol. 562, pp. 169839-169839
Closed Access | Times Cited: 6
Comparison between different models of magnetic hysteresis in the solution of the TEAM 32 problem
E. Cardelli, A. Faba, Antonino Laudani, et al.
International Journal of Numerical Modelling Electronic Networks Devices and Fields (2023) Vol. 36, Iss. 6
Closed Access | Times Cited: 3
Autoencoders for Hourly Load Profile Reconstruction in Renewable Energy Communities
Matteo Intravaia, Lorenzo Becchi, Marco Bindi, et al.
(2023), pp. 280-285
Closed Access | Times Cited: 3
A Generalized Prandtl–Ishlinskii Model for Hysteresis Modeling in Electromagnetic Devices
Mohammad Al Saaideh, Natheer Alatawneh, Mohammad Al Janaideh
2022 IEEE Energy Conversion Congress and Exposition (ECCE) (2021), pp. 4513-4518
Closed Access | Times Cited: 8
Simulation-based assessment of Supercapacitors as Enabling Technology for Fast Charging in Micromobility
Maurizio Laschi, Fabio Corti, Gabriele Maria Lozito, et al.
2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON) (2022)
Closed Access | Times Cited: 5
Page 1 - Next Page

Scroll to top