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 26-50 of 48 citing articles:

Pareto optimization Strategy for Clustering of PV Prosumers in a Renewable Energy Community
Francesco Grasso, Gabriele Maria Lozito, Francesco Riganti Fulginei, et al.
2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON) (2022), pp. 703-708
Closed Access | Times Cited: 5
Measurements of magnetic characteristics of laminated Fe-Si steel filter inductors in grid interface converters
A. Faba, Hari Prasad Rimal, Antonino Laudani, et al.
Measurement (2022) Vol. 195, pp. 111108-111108
Closed Access | Times Cited: 4
Artificial Load Profiles and PV Generation in Renewable Energy Communities Using Generative Adversarial Networks
Francesco Grasso, Carlos Iturrino Garcia, Gabriele Maria Lozito, et al.
2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON) (2022) Vol. 2017, pp. 709-714
Closed Access | Times Cited: 4
Neural Estimator for Inductor Losses in Buck DC-DC Converters Operating in CCM
Gabriele Maria Lozito, Vittorio Bertolini, Francesco Riganti Fulginei, et al.
(2023), pp. 412-417
Closed Access | Times Cited: 2
A Python Tool for Simulation and Optimal Sizing of a Storage Equipped Grid Connected Photovoltaic Power System
Elisa Belloni, Gabriele Maria Lozito, Alberto Reatti
2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON) (2022)
Closed Access | Times Cited: 3
Finite Element Analysis of Copper Wire for Wireless Power Transfer Applications
Luca Pugi, Francesco Grasso, Libero Paolucci, et al.
2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON) (2022) Vol. 14, pp. 801-806
Closed Access | Times Cited: 3
Neural network‐based simulation of fields and losses in electrical machines with ferromagnetic laminated cores
Florent Purnode, François Henrotte, Gilles Louppe, et al.
International Journal of Numerical Modelling Electronic Networks Devices and Fields (2024) Vol. 37, Iss. 2
Open Access
A Data-Driven Model for Power Loss Estimation of Magnetic Materials Based on Multi-Objective Optimization and Transfer Learning
Zhengzhao Li, Lu Wang, Ruijun Liu, et al.
IEEE Open Journal of Power Electronics (2024) Vol. 5, pp. 605-617
Open Access
Modelling of Magnetization Processes of 3D-Printed Fe-Si Components by Means of an Artificial Neural Network Implemented in a FEM Scheme
M Stella, A. Faba, Vittorio Bertolini, et al.
2022 International Conference on Electrical Machines (ICEM) (2024), pp. 1-7
Closed Access
A fast hysteresis analysis based on neural network and play model
Takuto Jibiki, Hajime Igarashi
IET Science Measurement & Technology (2024)
Open Access
Testing and simulation of the hysteresis characteristics of magnetostrictive materials under harmonic excitation
Wenmei Huang, Y. Liu, Yutong Fang, et al.
Journal of Magnetism and Magnetic Materials (2024), pp. 172699-172699
Closed Access
Characterizing nonlinear piezoelectric dynamics through deep neural operator learning
Abhishek Chandra, Taniya Kapoor, Mitrofan Curti, et al.
Applied Physics Letters (2024) Vol. 125, Iss. 26
Open Access
MagNet-AI: Neural Network as Datasheet for Magnetics Modeling and Material Recommendation
Minjie Chen, Haoran Li, Diego Serrano, et al.
(2023)
Open Access | Times Cited: 1
Solving the Issue of Discriminant Roughness of Heterogeneous Surfaces Using Elements of Artificial Intelligence
Milena Kubišová, Vladimír Pata, Dagmar Měřínská, et al.
Materials (2021) Vol. 14, Iss. 10, pp. 2620-2620
Open Access | Times Cited: 2
Effects of Control Strategies on AC-DC Conversion Efficiency in EV Wireless Charging
Fabio Corti, Alberto Reatti, Salvatore Musumeci
(2021), pp. 1-6
Closed Access | Times Cited: 2
Machine Learning Power Magnetics
Minjie Chen
(2022)
Open Access | Times Cited: 1
MagNet-AI: Neural Network as Datasheet for Magnetics Modeling and Material Recommendation
Minjie Chen, Haoran Li, Diego Serrano, et al.
(2023)
Open Access
Magnetic Hysteresis Simulation by Using a Deep Neural Network for Non-sinusoidal Excitations
E. Cardelli, Antonino Laudani, Francesco Riganti Fulginei
(2023), pp. 292-295
Closed Access
Experimental Measurements and Numerical Computations of a Ferromagnetic Core Made by Means of Additive Manufacturing
M Stella, Vittorio Bertolini, Francesco Riganti Fulginei, et al.
(2023), pp. 423-428
Closed Access
How MagNet: Machine Learning Framework for Modeling Power Magnetic Material Characteristics
Minjie Chen
(2022)
Open Access
A hybrid dynamic hysteresis model based on the Preisach model and stacked auto-encoder
Yangyang Ma, Yongjian Li, Ruiying Chen, et al.
International Journal of Applied Electromagnetics and Mechanics (2022) Vol. 73, Iss. 4, pp. 399-413
Closed Access
Estimation of DC Hysteresis Property Using Nonlinear Eddy Current Analysis Considering Hysteretic Property
Yanhui Gao, Hongyun Zhao, Yuji Gotoh, et al.
IEEE Transactions on Industry Applications (2022) Vol. 59, Iss. 2, pp. 1571-1576
Closed Access
A neural network for prediction of high intensity resonance modes in magnetic multilayers
A. F. Franco
New Journal of Physics (2021) Vol. 23, Iss. 7, pp. 073021-073021
Open Access
Previous Page - Page 2

Scroll to top