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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:

A Maxwell's Equations Based Deep Learning Method for Time Domain Electromagnetic Simulations
Pan Zhang, Yanyan Hu, Yuchen Jin, et al.
IEEE journal on multiscale and multiphysics computational techniques (2021) Vol. 6, pp. 35-40
Closed Access | Times Cited: 67

Showing 1-25 of 67 citing articles:

Finite-difference time-domain methods
Fernando L. Teixeira, Costas D. Sarris, Yisong Zhang, et al.
Nature Reviews Methods Primers (2023) Vol. 3, Iss. 1
Open Access | Times Cited: 52
A novel physics-informed neural network for modeling electromagnetism of a permanent magnet synchronous motor
Seho Son, Hyunseung Lee, Dayeon Jeong, et al.
Advanced Engineering Informatics (2023) Vol. 57, pp. 102035-102035
Closed Access | Times Cited: 26
Physics-Informed Neural Networks for Path Loss Estimation by Solving Electromagnetic Integral Equations
Fenyu Jiang, Tong Li, Xingzai Lv, et al.
IEEE Transactions on Wireless Communications (2024) Vol. 23, Iss. 10, pp. 15380-15393
Closed Access | Times Cited: 10
Exploiting graph neural networks to perform finite-difference time-domain based optical simulations
Lukas Kuhn, Taavi Repän, Carsten Rockstuhl
APL Photonics (2023) Vol. 8, Iss. 3
Open Access | Times Cited: 11
An End-to-End Neural Network for Complex Electromagnetic Simulations
Menglin Zhai, Yaobo Chen, Longting Xu, et al.
IEEE Antennas and Wireless Propagation Letters (2023) Vol. 22, Iss. 10, pp. 2522-2526
Closed Access | Times Cited: 11
FE-PIRBN:Feature-Enhanced physics-informed radial basis neural networks for solving high-frequency electromagnetic scattering problems
Huimin Zhang, Chao Li, Rui Xia, et al.
Journal of Computational Physics (2025) Vol. 527, pp. 113798-113798
Closed Access
Electrical Equipment Prediction in a Variable Electromagnetic Field Using Deep Learning
Quansen Shao, Qiang Zhao, Haitao Feng
Smart innovation, systems and technologies (2025), pp. 97-108
Closed Access
Artificial Neural Network-Enhanced Unconditionally Stable Finite-Difference Time-Domain Technique for Multiscale Problems
Oluwole John Famoriji, Thokozani Shongwe
Scientific African (2025), pp. e02645-e02645
Open Access
SK-PINN: Accelerated physics-informed deep learning by smoothing kernel gradients
Cunliang Pan, Chengxuan Li, Yü Liu, et al.
Computer Methods in Applied Mechanics and Engineering (2025) Vol. 440, pp. 117956-117956
Closed Access
Physics‐Informed Extreme Learning Machine Applied for Eigenmode Analysis of Waveguides and Transmission Lines
Li Huang, Liang Chen, Rongchuan Bai
International Journal of RF and Microwave Computer-Aided Engineering (2025) Vol. 2025, Iss. 1
Open Access
A Theory-Guided Deep Neural Network for Time Domain Electromagnetic Simulation and Inversion Using a Differentiable Programming Platform
Yanyan Hu, Yuchen Jin, Xuqing Wu, et al.
IEEE Transactions on Antennas and Propagation (2021) Vol. 70, Iss. 1, pp. 767-772
Closed Access | Times Cited: 24
A versatile inversion approach for space/temperature/time-related thermal conductivity via deep learning
Yinpeng Wang, Qiang Ren
International Journal of Heat and Mass Transfer (2022) Vol. 186, pp. 122444-122444
Closed Access | Times Cited: 16
A Regularized Procedure to Generate a Deep Learning Model for Topology Optimization of Electromagnetic Devices
Mauro Tucci, Sami Barmada, A. Formisano, et al.
Electronics (2021) Vol. 10, Iss. 18, pp. 2185-2185
Open Access | Times Cited: 17
Inverse analysis of soil hydraulic parameters of layered soil profiles using physics‐informed neural networks with unsaturated water flow models
Koki Oikawa, Hirotaka Saito
Vadose Zone Journal (2024) Vol. 23, Iss. 6
Open Access | Times Cited: 2
A Physics-Informed Neural Network-Based Waveguide Eigenanalysis
Md Rayhan Khan, Constantinos L. Zekios, Shubhendu Bhardwaj, et al.
IEEE Access (2024) Vol. 12, pp. 120777-120787
Open Access | Times Cited: 2
A Machine Learning Method for 2-D Scattered Far-Field Prediction Based on Wave Coefficients
Wenwei Zhang, De-Hua Kong, Xiao-Yang He, et al.
IEEE Antennas and Wireless Propagation Letters (2023) Vol. 22, Iss. 5, pp. 1174-1178
Closed Access | Times Cited: 6
Physics-Informed Neural Network Method for Space Charge Effect in Particle Accelerators
Kazuhiro Fujita
IEEE Access (2021) Vol. 9, pp. 164017-164025
Open Access | Times Cited: 14
A Universal PINNs Method for Solving Partial Differential Equations with a Point Source
Xiang Huang, Huan Liu, Beiji Shi, et al.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (2022), pp. 3839-3846
Open Access | Times Cited: 9
Intelligent Prediction for Scattering Properties Based on Multihead Attention and Target Inherent Feature Parameter
De-Hua Kong, Wenwei Zhang, Xiao-Yang He, et al.
IEEE Transactions on Antennas and Propagation (2023) Vol. 71, Iss. 6, pp. 5504-5509
Closed Access | Times Cited: 5
Rapid Surrogate Modeling of Electromagnetic Data in Frequency Domain Using Neural Operator
Zhong Peng, Bo Yang, Yixian Xu, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-12
Closed Access | Times Cited: 8
Learning-Based Approaches to Current Identification from Magnetic Sensors
Sami Barmada, Paolo Di Barba, A. Formisano, et al.
Sensors (2023) Vol. 23, Iss. 8, pp. 3832-3832
Open Access | Times Cited: 4
Deep-Learning-Equipped Iterative Solution of Electromagnetic Scattering From Dielectric Objects
Bo-Wen Xue, Rui Guo, Maokun Li, et al.
IEEE Transactions on Antennas and Propagation (2023) Vol. 71, Iss. 7, pp. 5954-5966
Closed Access | Times Cited: 4
Hybrid Physics-Informed Neural Network for the Wave Equation With Unconditionally Stable Time-Stepping
Shutong Qi, Costas D. Sarris
IEEE Antennas and Wireless Propagation Letters (2024) Vol. 23, Iss. 4, pp. 1356-1360
Open Access | Times Cited: 1
Scaled Conjugate Gradient Neural Intelligence for Motion Parameters Prediction of Markov Chain Underwater Maneuvering Target
Wasiq Ali, Habib Hussain Zuberi, Qing Xin, et al.
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 2, pp. 240-240
Open Access | Times Cited: 1
Physics‐informed surrogates for electromagnetic dynamics using Transformers and graph neural networks
Oameed Noakoasteen, Christos G. Christodoulou, Zhen Peng, et al.
IET Microwaves Antennas & Propagation (2024) Vol. 18, Iss. 7, pp. 505-515
Open Access | Times Cited: 1
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