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:

Physics-informed neural networks for studying heat transfer in porous media
Jiaxuan Xu, Han Wei, Hua Bao
International Journal of Heat and Mass Transfer (2023) Vol. 217, pp. 124671-124671
Closed Access | Times Cited: 33

Showing 26-50 of 33 citing articles:

A Computationally Efficient Hybrid Neural Network Architecture for Porous Media: Integrating Convolutional and Graph Neural Networks for Improved Property Predictions
Qingqi Zhao, Xiaoxue Han, Ruichang Guo, et al.
Advances in Water Resources (2024) Vol. 195, pp. 104881-104881
Closed Access | Times Cited: 1

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

Modeling fluid flow in heterogeneous porous media with physics-informed neural networks: Weighting strategies for the mixed pressure head-velocity formulation
Ali Alhubail, Marwan Fahs, François Lehmann, et al.
Advances in Water Resources (2024) Vol. 193, pp. 104797-104797
Open Access

T-phPINN: Physics-informed neural networks for solving 2D non-Fourier heat conduction equations
Jinglai Zheng, Fan Li, Haiming Huang
International Journal of Heat and Mass Transfer (2024) Vol. 235, pp. 126216-126216
Closed Access

wbPINN: Weight balanced physics-informed neural networks for multi-objective learning
Fujun Cao, Xiaobin Guo, Xinzheng Dong, et al.
Applied Soft Computing (2024), pp. 112632-112632
Closed Access

A novel framework for predicting 3D scene infrared radiation characteristics through AI-enhanced thermodynamic modeling
Jincheng Chen, Dengfeng Ren, Yuge Han, et al.
International Journal of Heat and Mass Transfer (2024) Vol. 238, pp. 126434-126434
Closed Access

Physics-Informed Machine Learning: the Next Big Trend in Food Process Modelling?
Emmanuel Purlis
Current Food Science and Technology Reports (2023) Vol. 2, Iss. 1, pp. 1-6
Closed Access | Times Cited: 1

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