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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:

Multi-domain physics-informed neural networks for solving transient heat conduction problems in multilayer materials
Benrong Zhang, Fajie Wang, Lin Qiu
Journal of Applied Physics (2023) Vol. 133, Iss. 24
Closed Access | Times Cited: 23

Showing 23 citing articles:

NMM-based computational homogenization for nonlinear transient heat conduction in imperfectly bonded heterogeneous media
Wenan Wu, Yu‐Yong Jiao, Fei Zheng, et al.
International Communications in Heat and Mass Transfer (2025) Vol. 162, pp. 108599-108599
Closed Access | Times Cited: 1
Physics-Informed Neural Network (PINN) for Solving Frictional Contact Temperature and Inversely Evaluating Relevant Input Parameters
Yichun Xia, Yonggang Meng
Lubricants (2024) Vol. 12, Iss. 2, pp. 62-62
Open Access | Times Cited: 7
Load Margin Assessment of Power Systems Using Physics-Informed Neural Network with Optimized Parameters
Murilo E. C. Bento
Energies (2024) Vol. 17, Iss. 7, pp. 1562-1562
Open Access | Times Cited: 7
A new modified deep learning technique based on physics-informed neural networks (PINNs) for the shock-induced coupled thermoelasticity analysis in a porous material
Katayoun Eshkofti, Seyed Mahmoud Hosseini
Journal of Thermal Stresses (2024) Vol. 47, Iss. 6, pp. 798-825
Closed Access | Times Cited: 5
Solving Inverse Wave Problems Using Spacetime Radial Basis Functions in Neural Networks
Chih‐Yu Liu, Cheng‐Yu Ku, Weida Chen, et al.
Mathematics (2025) Vol. 13, Iss. 5, pp. 725-725
Open Access
Initialization-enhanced physics-informed neural network with domain decomposition (IDPINN)
Chenhao Si, Ming Yan
Journal of Computational Physics (2025), pp. 113914-113914
Open Access
Classifying acoustic cavitation with machine learning trained on multiple physical models
Trinidad Gatica, Elwin van ’t Wout, Reza Haqshenas
Physics of Fluids (2025) Vol. 37, Iss. 3
Closed Access
A physics-informed neural network method for thermal analysis in laser-irradiated 3D skin tissues with embedded vasculature, tumor and gold nanorods
Farnaz Rezaei, Weizhong Dai, Shayan Davani, et al.
International Journal of Heat and Mass Transfer (2025) Vol. 245, pp. 126980-126980
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
Enhancement versus practicality in steam condensation heat transfer
Tarandeep Singh Thukral, Siavash Khodakarami, Wentao Yang, et al.
Joule (2025), pp. 101912-101912
Closed Access
A Physics-Informed Neural Network framework to investigate nonlinear and heterogenous shrinkage of drying plant cells
Chanaka Batuwatta-Gamage, Charith Rathnayaka, H.C.P. Karunasena, et al.
International Journal of Mechanical Sciences (2024) Vol. 275, pp. 109267-109267
Open Access | Times Cited: 4
LS-SVM-based nonlinear multi-physical steady-state field coupled problems computing method
Xiaoming Han, Xin Zhao, Zhengwei Qu, et al.
Applied Mathematical Modelling (2025), pp. 115987-115987
Closed Access
Adaptive fractional physics-informed neural networks for solving forward and inverse problems of anomalous heat conduction in functionally graded materials
Xingdan Ma, Lin Qiu, Benrong Zhang, et al.
International Journal of Heat and Mass Transfer (2024) Vol. 236, pp. 126393-126393
Closed Access | Times Cited: 3
Heat transfer and rock-soil temperature distribution characteristics in whole life cycle for different structure sizes of medium-deep U-shaped butted well
Jun Liu, Y.P. Zhang, Sheng Zhang, et al.
Case Studies in Thermal Engineering (2024) Vol. 60, pp. 104705-104705
Open Access | Times Cited: 2
Quantum Physics-Informed Neural Networks
Corey J. Trahan, Mark Loveland, Samuel Dent
Entropy (2024) Vol. 26, Iss. 8, pp. 649-649
Open Access | Times Cited: 2
Physics-Informed Neural Networks for Solving High-Index Differential-Algebraic Equation Systems Based on Radau Methods
Chen Jia-Sheng, Juan Tang, Ming Yan, et al.
International Journal of Intelligent Systems (2024) Vol. 2024, pp. 1-12
Open Access | Times Cited: 1
HARNESSING DEEP LEARNING TO SOLVE INVERSE TRANSIENT HEAT TRANSFER WITH PERIODIC BOUNDARY CONDITION
Adib Bazgir, Kun Zhang
Journal of Thermal Science and Engineering Applications (2024) Vol. 16, Iss. 12
Closed Access | Times Cited: 1
Initialization-Enhanced Physics-Informed Neural Network with Domain Decomposition (Idpinn)
Chenhao Si, Ming Yan
(2024)
Open Access
基于物理信息神经网络的非均质材料力学研究进展
Congjian Lin, Junbin Lou, Yixuan Li, et al.
Chinese Science Bulletin (Chinese Version) (2024) Vol. 69, Iss. 34, pp. 4967-4982
Closed Access
A novel machine learning-based computational framework for predicting microscale morphological changes of plant cells during drying
Chanaka Prabuddha Batuwatta Gamage
(2024)
Open Access
College Employment Recommendation Based on Improved K-Means Clustering and SimRank Algorithm in College Employment Management
Qinghe Wang
IEEE Access (2024) Vol. 12, pp. 154230-154243
Open Access
A Physics-Informed Neural-Network-Based Multi-Domain Computational Model to Investigate Nonlinear and Heterogenous Shrinkage of Plant Cells During Drying
Chanaka Batuwatta-Gamage, Charith Rathnayaka, H.C.P. Karunasena, et al.
(2023)
Closed Access | Times Cited: 1
On the Expected Discounted Penalty Function Using Physics-Informed Neural Network
Jiayu Wang, Wang Hou-chun
Journal of Mathematics (2023) Vol. 2023, pp. 1-16
Open Access
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