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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:

Temperature field prediction for various porous media considering variable boundary conditions using deep learning method
Mou Wang, Hui Wang, Ying Yin, et al.
International Communications in Heat and Mass Transfer (2022) Vol. 132, pp. 105916-105916
Closed Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Advancing next-generation proton-exchange membrane fuel cell development in multi-physics transfer
Guobin Zhang, Zhiguo Qu, Wen‐Quan Tao, et al.
Joule (2023) Vol. 8, Iss. 1, pp. 45-63
Closed Access | Times Cited: 42
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
Enhanced surrogate modelling of heat conduction problems using physics-informed neural network framework
Seyedalborz Manavi, Thomas Becker, Ehsan Fattahi
International Communications in Heat and Mass Transfer (2023) Vol. 142, pp. 106662-106662
Closed Access | Times Cited: 21
A universal structure of neural network for predicting heat, flow and mass transport in various three-dimensional porous media
Wang Hui, Mou Wang, Ying Yin, et al.
International Journal of Heat and Mass Transfer (2025) Vol. 241, pp. 126688-126688
Closed Access
Mask neural network for temperature field prediction for three-dimensional thermal design of electronic devices
Lanzhi Liang, Longsheng Lu, Li Huang, et al.
International Communications in Heat and Mass Transfer (2025) Vol. 164, pp. 108757-108757
Closed Access
A developed convolutional neural network model for accurately and stably predicting effective thermal conductivity of gradient porous ceramic materials
Pan Liu, Zelin Han, Wantong Wu, et al.
International Journal of Heat and Mass Transfer (2024) Vol. 225, pp. 125428-125428
Closed Access | Times Cited: 3
Linear stability analysis of micropolar nanofluid flow across the accelerated surface with inclined magnetic field
U. S. Mahabaleshwar, S.M. Sachin, A. B. Vishalakshi, et al.
International Journal of Numerical Methods for Heat & Fluid Flow (2024) Vol. 34, Iss. 9, pp. 3515-3541
Closed Access | Times Cited: 3
High Energy Absorption Design of Porous Metals Using Deep Learning
Minghai Tang, Lei Wang, Zhiqiang Xin, et al.
International Journal of Mechanical Sciences (2024) Vol. 282, pp. 109593-109593
Closed Access | Times Cited: 3
State of health and remaining useful life prediction for lithium-ion batteries based on differential thermal voltammetry and a long and short memory neural network
Bin Ma, Hanqing Yu, Wentao Wang, et al.
Rare Metals (2022) Vol. 42, Iss. 3, pp. 885-901
Closed Access | Times Cited: 18
A novel graph modeling method for GNN-based hypersonic aircraft flow field reconstruction
Qiao Li, Xingchen Li, Xiaoqian Chen, et al.
Engineering Applications of Computational Fluid Mechanics (2024) Vol. 18, Iss. 1
Open Access | Times Cited: 3
A spatiotemporal prediction model for rapid prediction of delamination growth in open-hole composite laminates
Yan Huai, Weihua Xie, Bo Gao, et al.
Composites Science and Technology (2023) Vol. 235, pp. 109973-109973
Closed Access | Times Cited: 8
Prediction of temperature distribution on piston crown surface of dual-fuel engines via a hybrid neural network
Yan‐Xia Lin, Xingang Xu
Applied Thermal Engineering (2022) Vol. 218, pp. 119269-119269
Closed Access | Times Cited: 13
Data-driven methods for flow and transport in porous media: A review
Yang Guang, Ran Xu, Yusong Tian, et al.
International Journal of Heat and Mass Transfer (2024) Vol. 235, pp. 126149-126149
Open Access | Times Cited: 2
Predicting gas diffusion layer flow information in proton exchange membrane fuel cells from cross-sectional data using deep learning methods
Yang Yu, Sheng Chen, Yuanhao Wu
Energy (2023) Vol. 282, pp. 128778-128778
Open Access | Times Cited: 6
Data-driven framework for general explicit formula of ionic thermoregulated osmotic energy conversion based on similarity principle and deep learning
Huangyi Zhu, Zhiguo Qu, Ziling Guo, et al.
Nano Energy (2024) Vol. 128, pp. 109955-109955
Closed Access | Times Cited: 1
Deep learning-based prediction of velocity and temperature distributions in metal foam with hierarchical pore structure
Yixiong Lin, Zhengqi Wu, Shiqi You, et al.
Green Chemical Engineering (2024)
Open Access | Times Cited: 1
Rapid prediction of structural thermal loads and temperature field based on physics and data co-driven approach under partial labeled data
Hongze Du, Qi Xu, Yufeng Bu, et al.
International Communications in Heat and Mass Transfer (2024) Vol. 159, pp. 108007-108007
Closed Access | Times Cited: 1
3D Indoor Scene Reconstruction and Layout Based on Virtual Reality Technology and Few-Shot Learning
Huanmei Li
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-9
Open Access | Times Cited: 7
Application of Soft Computing Techniques for Predicting Thermal Conductivity of Rocks
Masoud Samaei, Timur Massalow, Ali Abdolhosseinzadeh, et al.
Applied Sciences (2022) Vol. 12, Iss. 18, pp. 9187-9187
Open Access | Times Cited: 3
Enhancing Unsteady Heat Transfer Simulation in Porous Media through the Application of Convolutional Neural Networks
Mohammad Saraireh
Engineering Research Express (2024) Vol. 6, Iss. 1, pp. 015516-015516
Open Access
Multi-color space features and data regression neural network-based method for molten salt temperature detection in rare earth electrolytic processes
Zhen Zhang, Meijuan Xu, Feifei Liu, et al.
International Communications in Heat and Mass Transfer (2024) Vol. 159, pp. 108069-108069
Closed Access
Constraint-incorporated deep learning model for predicting heat transfer in porous media under diverse external heat fluxes
Ziling Guo, Hui Wang, Huangyi Zhu, et al.
Energy and AI (2024) Vol. 18, pp. 100425-100425
Open Access
Deep learning assisting construction of heat transfer constitutive relationships for porous media
Shaoxuan Xu, Hui Wang, Zhiguo Qu
International Journal of Heat and Fluid Flow (2024) Vol. 110, pp. 109591-109591
Closed Access
Scrutinizing effect of temperature and pressure variation of a double-pressure dual-cycle geothermal power plant turbines on the temperature profile and heat gain of the heat exchangers
Ceyhun Baydar, Hüseyin Yağlı, Sadık Ata, et al.
Energy Conversion and Management (2024) Vol. 322, pp. 119104-119104
Closed Access
Machine Learning Assisting Intelligent Control of Evaporation Performance in Porous Media
Hui Wang, Shaoxuan Xu, Zhiguo Qu
IntechOpen eBooks (2024)
Open Access
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