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:

Wave Equation Modeling via Physics-Informed Neural Networks: Models of Soft and Hard Constraints for Initial and Boundary Conditions
Shaikhah Alkhadhr, Mohamed Almekkawy
Sensors (2023) Vol. 23, Iss. 5, pp. 2792-2792
Open Access | Times Cited: 17

Showing 17 citing articles:

KAN-ODEs: Kolmogorov–Arnold network ordinary differential equations for learning dynamical systems and hidden physics
Benjamin C. Koenig, Suyong Kim, Sili Deng
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 432, pp. 117397-117397
Closed Access | Times Cited: 16

Mixed formulation of physics‐informed neural networks for thermo‐mechanically coupled systems and heterogeneous domains
Ali M. Harandi, Ahmad Moeineddin, Michael Kaliske, et al.
International Journal for Numerical Methods in Engineering (2023) Vol. 125, Iss. 4
Open Access | Times Cited: 35

Adaptive Interface-PINNs (AdaI-PINNs) for transient diffusion: Applications to forward and inverse problems in heterogeneous media
Sumanta Roy, Dibakar Roy Sarkar, Chandrasekhar Annavarapu, et al.
Finite Elements in Analysis and Design (2025) Vol. 244, pp. 104305-104305
Closed Access | Times Cited: 1

Physics-Informed Neural Networks for High-Frequency and Multi-Scale Problems Using Transfer Learning
Abdul Hannan Mustajab, Hao Lyu, Zarghaam Haider Rizvi, et al.
Applied Sciences (2024) Vol. 14, Iss. 8, pp. 3204-3204
Open Access | Times Cited: 7

Finite difference-embedded UNet for solving transcranial ultrasound frequency-domain wavefield
Linfeng Wang, Jian Li, Shili Chen, et al.
The Journal of the Acoustical Society of America (2024) Vol. 155, Iss. 3, pp. 2257-2269
Closed Access | Times Cited: 5

Physics-informed neural wavefields with Gabor basis functions
Tariq Alkhalifah, Xinquan Huang
Neural Networks (2024) Vol. 175, pp. 106286-106286
Open Access | Times Cited: 4

Seismic Wavefields Modeling With Variable Horizontally Layered Velocity Models via Velocity-Encoded PINN
Jiayang Zou, Cai Liu, Pengfei Zhao, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-11
Closed Access | Times Cited: 2

Physics Informed Neural Network for Solving the Shallow Water Equations on Grids of Arbitrary Geometry
Hannah Cho
SoutheastCon (2024), pp. 405-411
Closed Access | Times Cited: 1

Computational Sensing, Understanding, and Reasoning: An Artificial Intelligence Approach to Physics-Informed World Modeling
Beatriz Moya, Alberto Badías, David González, et al.
Archives of Computational Methods in Engineering (2023) Vol. 31, Iss. 4, pp. 1897-1914
Closed Access | Times Cited: 3

Soliton Solutions of Some Ocean Waves Supported by Physics Informed Neural Network Method
Ismail Onder, Abdulkadir Şahiner, Aydın Seçer, et al.
Artificial Intelligence and Applications (2024)
Open Access

Mixed formulation of physics-informed neural networks for thermo-mechanically coupled systems and heterogeneous domains
Ali Harandi, Ahmad Moeineddin, Michael Kaliske, et al.
arXiv (Cornell University) (2023)
Open Access

Modeling of Transcranial Ultrasound in Frequency Domain Based on Physics-constrained UNet
Linfeng Wang, Jian Li, Shili Chen, et al.
2017 IEEE International Ultrasonics Symposium (IUS) (2023), pp. 1-4
Closed Access

Deep Learning based Ultrasound Computed Tomography for Real-Time Construction
Qinhan Gao, Mohamed Almekkawy
2017 IEEE International Ultrasonics Symposium (IUS) (2023), pp. 1-4
Closed Access

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