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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:

Physics-informed deep learning for solving phonon Boltzmann transport equation with large temperature non-equilibrium
Ruiyang Li, Jianxun Wang, Eungkyu Lee, et al.
npj Computational Materials (2022) Vol. 8, Iss. 1
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Exploring High Thermal Conductivity Amorphous Polymers Using Reinforcement Learning
Ruimin Ma, Hanfeng Zhang, Tengfei Luo
ACS Applied Materials & Interfaces (2022) Vol. 14, Iss. 13, pp. 15587-15598
Closed Access | Times Cited: 52
Physics-informed neural networks for studying heat transfer in porous media
Jiaxuan Xu, Wei Han, Hua Bao
International Journal of Heat and Mass Transfer (2023) Vol. 217, pp. 124671-124671
Closed Access | Times Cited: 36
Combining Machine Learning with Physical Knowledge in Thermodynamic Modeling of Fluid Mixtures
Fabian Jirasek, Hans Hasse
Annual Review of Chemical and Biomolecular Engineering (2023) Vol. 14, Iss. 1, pp. 31-51
Open Access | Times Cited: 29
RheologyNet: A physics-informed neural network solution to evaluate the thixotropic properties of cementitious materials
Tianjie Zhang, Donglei Wang, Yang Lü
Cement and Concrete Research (2023) Vol. 168, pp. 107157-107157
Closed Access | Times Cited: 16
Peridynamic modeling for multiscale heat transport of phonon Boltzmann transport equation
Weier Liu, Yangde Feng, Ruilin Li, et al.
Computer Physics Communications (2024) Vol. 299, pp. 109157-109157
Closed Access | Times Cited: 5
Physics-informed neural networks for solving time-dependent mode-resolved phonon Boltzmann transport equation
Jiahang Zhou, Ruiyang Li, Tengfei Luo
npj Computational Materials (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 12
Physics-integrated neural differentiable (PiNDiff) model for composites manufacturing
Deepak Akhare, Tengfei Luo, Jianxun Wang
Computer Methods in Applied Mechanics and Engineering (2023) Vol. 406, pp. 115902-115902
Open Access | Times Cited: 11
Neural differentiable modeling with diffusion-based super-resolution for two-dimensional spatiotemporal turbulence
Xiantao Fan, Deepak Akhare, Jianxun Wang
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 433, pp. 117478-117478
Open Access | Times Cited: 4
HANNA: Hard-constraint Neural Network for Consistent Activity Coefficient Prediction
Thomas Specht, Mayank Nagda, Sophie Fellenz, et al.
Chemical Science (2024) Vol. 15, Iss. 47, pp. 19777-19786
Open Access | Times Cited: 4
Nanocomposite-based PCR reactors to enhance thermal rate and fluorescence intensity in hand-held qPCR device
Jiyeon Han, A M Tiara, Seongryeong Kim, et al.
Journal of Nanobiotechnology (2025) Vol. 23, Iss. 1
Open Access
A Review of Nano and Microscale Heat Transfer: An Experimental and Molecular Dynamics Perspective
Samyabrata Chatterjee, Paras, Han Hu, et al.
Processes (2023) Vol. 11, Iss. 9, pp. 2769-2769
Open Access | Times Cited: 10
Phonon stability boundary and deep elastic strain engineering of lattice thermal conductivity
Zhe Shi, Evgenii Tsymbalov, Wencong Shi, et al.
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 8
Open Access | Times Cited: 3
Probabilistic physics-integrated neural differentiable modeling for isothermal chemical vapor infiltration process
Deepak Akhare, Zeping Chen, Richard Gulotty, et al.
npj Computational Materials (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 3
Physics-Informed Deep Learning for Solving Coupled Electron and Phonon Boltzmann Transport Equations
Ruiyang Li, Eungkyu Lee, Tengfei Luo
Physical Review Applied (2023) Vol. 19, Iss. 6
Closed Access | Times Cited: 8
ST-PINN: A Self-Training Physics-Informed Neural Network for Partial Differential Equations
Junjun Yan, Xinhai Chen, Zhichao Wang, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2023), pp. 1-8
Open Access | Times Cited: 8
Density physics-informed neural networks reveal sources of cell heterogeneity in signal transduction
Hyeontae Jo, Hyukpyo Hong, Hyung Ju Hwang, et al.
Patterns (2023) Vol. 5, Iss. 2, pp. 100899-100899
Open Access | Times Cited: 8
Physics-Informed Fully Convolutional Networks for Forward Prediction of Temperature Field and Inverse Estimation of Thermal Diffusivity
Tong Zhu, Qiye Zheng, Yanglong Lu
Journal of Computing and Information Science in Engineering (2024) Vol. 24, Iss. 11
Closed Access | Times Cited: 2
BC-PINN: an adaptive physics informed neural network based on biased multiobjective coevolutionary algorithm
Zhicheng Zhu, Hao Jia, Jin Huang, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 28, pp. 21093-21113
Closed Access | Times Cited: 6
Auxiliary physics-informed neural networks for forward, inverse, and coupled radiative transfer problems
R. Riganti, Luca Dal Negro
Applied Physics Letters (2023) Vol. 123, Iss. 17
Open Access | Times Cited: 5
Equivariant graph neural network interatomic potential for Green-Kubo thermal conductivity in phase change materials
Sung-Ho Lee, Jing Li, Valério Olevano, et al.
Physical Review Materials (2024) Vol. 8, Iss. 3
Open Access | Times Cited: 1
A review on machine learning-guided design of energy materials
Seongmin Kim, Jiaxin Xu, Wenjie Shang, et al.
Progress in Energy (2024) Vol. 6, Iss. 4, pp. 042005-042005
Closed Access | Times Cited: 1
Machine Learning for Next Generation Thermoelectrics
Kıvanç Sağlık, Siddharth Srinivasan, V Petrov Victor, et al.
Materials Today Energy (2024), pp. 101700-101700
Closed Access | Times Cited: 1
Physics-informed neural networks for modeling mesoscale heat transfer using the Boltzmann transport equation
Jiahang Zhou, Ruiyang Li, Tengfei Luo
Advances in heat transfer (2023), pp. 211-238
Closed Access | Times Cited: 3
Tuning quantum heat transport in magnetic nanostructures by spin-phonon interaction
Hui Pan, Zhong‐Ke Ding, Yu‐Jia Zeng, et al.
EPL (Europhysics Letters) (2022) Vol. 138, Iss. 3, pp. 36001-36001
Open Access | Times Cited: 5
Temperature-dependent thermal phonon relaxation time and its influence on ballistic-diffusive heat transport in SOI transistor
Jae Sik Jin
Physica B Condensed Matter (2023) Vol. 657, pp. 414828-414828
Closed Access | Times Cited: 2
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