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OpenAlex Citation Counts

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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:

Why MagNet: Quantifying the Complexity of Modeling Power Magnetic Material Characteristics
Diego Serrano, Haoran Li, Shukai Wang, et al.
IEEE Transactions on Power Electronics (2023) Vol. 38, Iss. 11, pp. 14292-14316
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

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
Refining Power Converter Loss Evaluation: A Transfer Learning Approach
Ziheng Xiao, Yu Jiang, Tengfei Sun, et al.
IEEE Transactions on Power Electronics (2024) Vol. 39, Iss. 4, pp. 4313-4324
Closed Access | Times Cited: 9
Predicting core losses in power converters based on open source database
Yan Zhou, Minmin Zhang
IET Power Electronics (2025) Vol. 18, Iss. 1
Open Access
Artificial Intelligence Applications in High-Frequency Magnetic Components Design for Power Electronics Systems: An Overview
Xiaobing Shen, Yu Zuo, J. A. Kong, et al.
IEEE Transactions on Power Electronics (2024) Vol. 39, Iss. 7, pp. 8478-8496
Closed Access | Times Cited: 2
The Composite Improved Generalized Steinmetz Equation (ciGSE): An Accurate Model Combining the Composite Waveform Hypothesis With Classical Approaches
Asier Arruti, Jon Anzola, Francisco José Perez-Cebolla, et al.
IEEE Transactions on Power Electronics (2023) Vol. 39, Iss. 1, pp. 1162-1173
Open Access | Times Cited: 7
PCB-Based Inductor Design for 1-kW, 1-MHz Buck Converter
Aqarib Hussain, Daniel Pérez, D. Cucak, et al.
2022 IEEE Applied Power Electronics Conference and Exposition (APEC) (2024), pp. 3199-3203
Closed Access | Times Cited: 2
Temperature Control for Automated High Frequency Core Loss Testing
Nick J. Kirkby, Mike K. Ranjram
(2024), pp. 1-8
Closed Access | Times Cited: 2
Deep learning model for enhanced power loss prediction in the frequency domain for magnetic materials
Dixant Bikal Sapkota, Puskar Neupane, M.A. Joshi, et al.
IET Power Electronics (2024)
Open Access | Times Cited: 1
Investigating the Mutual Impact of Waveform, Temperature, and Dc-Bias on Magnetic Core Loss using Neural Network Models
Joe Li, Edward Deleu, Wonju Lee, et al.
2022 IEEE Applied Power Electronics Conference and Exposition (APEC) (2024), pp. 391-395
Closed Access | Times Cited: 1
Analysis and Design Trade-Offs of a Multi-Winding High-Frequency Transformer for a Battery Charger
Neha Rajput, Himanshu Bhusan Sandhibigraha, Vishnu Mahadeva Iyer
2022 IEEE Applied Power Electronics Conference and Exposition (APEC) (2024), pp. 854-860
Closed Access | Times Cited: 1
A Multilevel Converter Testbench for High-Frequency Power Magnetics Characterization
Neha Rajput, Vishnu Mahadeva Iyer
2022 IEEE Applied Power Electronics Conference and Exposition (APEC) (2024), pp. 3229-3234
Closed Access | Times Cited: 1
Physics-Inspired Multimodal Feature Fusion Cascaded Networks for Data-Driven Magnetic Core Loss Modeling
Youkang Hu, Jing Xu, Jiyao Wang, et al.
IEEE Transactions on Power Electronics (2024) Vol. 39, Iss. 9, pp. 11356-11367
Closed Access | Times Cited: 1
Iron Loss Calculation Methods for Numerical Analysis of 3D-Printed Rotating Machines: A Review
Tamás Orosz, Tamás Horváth, Balázs Tóth, et al.
Energies (2023) Vol. 16, Iss. 18, pp. 6547-6547
Open Access | Times Cited: 3
Circuits and magnetics co-design for ultra-thin vertical power delivery: A snapshot review
Youssef Elasser, Haoran Li, Ping Wang, et al.
MRS Advances (2023) Vol. 9, Iss. 1, pp. 12-24
Closed Access | Times Cited: 2
A Simplified Dc-Bias Injection Method for Characterizing Power Magnetics using a Voltage Mirror Transformer
Shukai Wang, Haoran Li, Diego Serrano, et al.
IEEE Transactions on Power Electronics (2024) Vol. 39, Iss. 6, pp. 6608-6612
Closed 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
A Core Loss Estimation Method Based on Data-driven Technology with Multi-head Attention Mechanism
Bowen Su, Kai Sun, Min Yang, et al.
(2024), pp. 3992-3996
Closed Access
Magnetization Mechanism-Inspired Neural Networks for Core Loss Estimation
Qiujie Huang, Yang Li, Jianguo Zhu, et al.
IEEE Transactions on Power Electronics (2024) Vol. 39, Iss. 12, pp. 16382-16390
Closed Access
Analyzing the Impact of Food Safety Regulations on Agricultural Supply Chains
Nimit Kumar, M. S. Shwetha, Gaurav Sharma, et al.
(2024), pp. 1-16
Closed Access
Ferrite Core Loss Prediction with Direct Data Interpolation Method
Yidong Tian, Cheng Zhang
(2024)
Open Access
Proper magnetic materials selection method for AC filter inductor design used in single phase PWM inverters
Taisei Yamaguchi, Hiroaki Matsumori
AIP Advances (2024) Vol. 14, Iss. 1
Open Access
Multi-Material Power Magnetics Modeling with a Modular and Scalable Machine Learning Framework
Edward Deleu, Haoran Li, Joe Li, et al.
2022 IEEE Applied Power Electronics Conference and Exposition (APEC) (2024), pp. 370-377
Closed Access
Characterization and Impact of Large-Signal Dielectric Properties in MnZn Ferrites
Thomas Guillod, William V. R. Roberts, Charles R. Sullivan
2022 IEEE Applied Power Electronics Conference and Exposition (APEC) (2024), pp. 384-390
Closed Access
Iron Loss Prediction By Using Conditional Generative Adversarial Network for High-Frequency Magnetic Components
Xiaobing Shen, Yu Zuo, Wilmar Martínez
IEEE Transactions on Power Electronics (2024) Vol. 39, Iss. 8, pp. 9953-9964
Closed Access
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