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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 Neural Networks with Periodic Activation Functions for Solute Transport in Heterogeneous Porous Media
Salah A. Faroughi, Ramin Soltanmohammadi, Pingki Datta, et al.
Mathematics (2023) Vol. 12, Iss. 1, pp. 63-63
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks and Operators in Scientific Computing: Fluid and Solid Mechanics
Salah A. Faroughi, Nikhil M. Pawar, Célio Fernandes, et al.
Journal of Computing and Information Science in Engineering (2024) Vol. 24, Iss. 4
Closed Access | Times Cited: 45
Risks and uncertainties in carbon capture, transport, and storage projects: A comprehensive review
Seyed Kourosh Mahjour, Salah A. Faroughi
Gas Science and Engineering (2023) Vol. 119, pp. 205117-205117
Open Access | Times Cited: 37
A comparative analysis of super-resolution techniques for enhancing micro-CT images of carbonate rocks
Ramin Soltanmohammadi, Salah A. Faroughi
Applied Computing and Geosciences (2023) Vol. 20, pp. 100143-100143
Open Access | Times Cited: 22
A comprehensive review of advances in physics-informed neural networks and their applications in complex fluid dynamics
Chi Zhao, Feifei Zhang, Wenqiang Lou, et al.
Physics of Fluids (2024) Vol. 36, Iss. 10
Closed Access | Times Cited: 12
Uncertainty Quantification in CO2 Trapping Mechanisms: A Case Study of PUNQ-S3 Reservoir Model Using Representative Geological Realizations and Unsupervised Machine Learning
Seyed Kourosh Mahjour, Jobayed Hossain Badhan, Salah A. Faroughi
Energies (2024) Vol. 17, Iss. 5, pp. 1180-1180
Open Access | Times Cited: 5
Performance of physical-informed neural network (PINN) for the key parameter inference in Langmuir turbulence parameterization scheme
Fangrui Xiu, Zengan Deng
Acta Oceanologica Sinica (2024) Vol. 43, Iss. 5, pp. 121-132
Closed Access | Times Cited: 5
Physics informed neural network for forward and inverse multispecies contaminant transport with variable parameters
Qingzhi Hou, Xiaolong Xu, Zewei Sun, et al.
Journal of Hydrology (2025), pp. 132977-132977
Closed Access
Learning High-Dimensional Chaos Based on an Echo State Network with Homotopy Transformation
Shikun Wang, Fengjie Geng, Yuting Li, et al.
Mathematics (2025) Vol. 13, Iss. 6, pp. 894-894
Open Access
Physics-informed neural networks for Kelvin–Helmholtz instability with spatiotemporal and magnitude multiscale
Jiahao Wu, Yuxin Wu, Xin Li, et al.
Physics of Fluids (2025) Vol. 37, Iss. 3
Closed Access
A physics-informed neural network framework for multi-physics coupling microfluidic problems
Runze Sun, Hyogu Jeong, Jiachen Zhao, et al.
Computers & Fluids (2024) Vol. 284, pp. 106421-106421
Open Access | Times Cited: 4
Fractional-Order Modeling of Heat and Moisture Transfer in Anisotropic Materials Using a Physics-Informed Neural Network
Yaroslav Sokolovskyy, Kazimierz Drozd, Tetiana Samotii, et al.
Materials (2024) Vol. 17, Iss. 19, pp. 4753-4753
Open Access | Times Cited: 3
Angle of repose for superquadric particles: Investigating the effects of shape parameters
Pingki Datta, Salah A. Faroughi
Computers and Geotechnics (2023) Vol. 165, pp. 105918-105918
Open Access | Times Cited: 7
Overview of the Application of Physically Informed Neural Networks to the Problems of Nonlinear Fluid Flow in Porous Media
N.N. Dieva, Damir Aminev, Марина Олегівна Кравченко, et al.
Computation (2024) Vol. 12, Iss. 4, pp. 69-69
Open Access | Times Cited: 2
Geosystems risk and uncertainty: The application of ChatGPT with targeted prompting
Seyed Kourosh Mahjour, Ramin Soltanmohammadi, Ehsan Heidaryan, et al.
Geoenergy Science and Engineering (2024) Vol. 238, pp. 212889-212889
Open Access | Times Cited: 2
Geo-guided deep learning for spatial downscaling of solute transport in heterogeneous porous media
Nikhil M. Pawar, Ramin Soltanmohammadi, Shirko Faroughi, et al.
Computers & Geosciences (2024) Vol. 188, pp. 105599-105599
Open Access | Times Cited: 1
Applications of Symmetry-Enhanced Physics-Informed Neural Networks in High-Pressure Gas Flow Simulations in Pipelines
Sultan Alpar, Rinat Faizulin, Fatima Tokmukhamedova, et al.
Symmetry (2024) Vol. 16, Iss. 5, pp. 538-538
Open Access | Times Cited: 1
Data-driven guided physics-informed segmented neural network for liquid–vapor flash calculation
Jiale Hua, Xin Du, Feng Yang, et al.
Physics of Fluids (2024) Vol. 36, Iss. 10
Closed Access | Times Cited: 1
Application Weighted Physics-Informed Neural Networks to High-Pressure Gas Flows Simulation in Pipelines
Sultan Alpar, Rinat Faizulin, Fatima Tokmukhamedova, et al.
(2024)
Open Access | Times Cited: 1
ESM data downscaling: a comparison of super-resolution deep learning models
Nikhil M. Pawar, Ramin Soltanmohammadi, Seyed Kourosh Mahjour, et al.
Earth Science Informatics (2024)
Open Access | Times Cited: 1
Geosystems Risk and Uncertainty: The Application of Chatgpt with Targeted Prompting
Seyed Kourosh Mahjour, Ramin Soltanmohammadi, Ehsan Heidaryan, et al.
(2024)
Closed 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
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
Improved physics-informed neural networks for the reinterpreted discrete fracture model
Chao Wang, Hui Guo, Yan Xia, et al.
Journal of Computational Physics (2024) Vol. 520, pp. 113491-113491
Closed Access
Investigating neural networks with groundwater flow equation loss
Vincenzo Schiano Di Cola, Vittorio Bauduin, Marco Berardi, et al.
Mathematics and Computers in Simulation (2024) Vol. 230, pp. 80-93
Closed Access
Sim‐Net: Simulation Net for Solving Seepage Equation Under Unsteady Boundary
Daolun Li, Enyuan Chen, Yantao Xu, et al.
International Journal for Numerical Methods in Fluids (2024)
Closed Access
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