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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 (PINNs) for Wave Propagation and Full Waveform Inversions
Majid Rasht‐Behesht, Christian Huber, Khemraj Shukla, et al.
Journal of Geophysical Research Solid Earth (2022) Vol. 127, Iss. 5
Open Access | Times Cited: 198

Showing 26-50 of 198 citing articles:

Helmholtz-equation solution in nonsmooth media by a physics-informed neural network incorporating quadratic terms and a perfectly matching layer condition
Yanqi Wu, Hossein S. Aghamiry, S. Operto, et al.
Geophysics (2023) Vol. 88, Iss. 4, pp. T185-T202
Closed Access | Times Cited: 17
Physics-guided training of GAN to improve accuracy in airfoil design synthesis
Kazunari Wada, Katsuyuki Suzuki, Kazuo Yonekura
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 421, pp. 116746-116746
Open Access | Times Cited: 7
Prior knowledge‐infused neural network for efficient performance assessment of structures through few‐shot incremental learning
Shi‐Zhi Chen, De‐Cheng Feng, Ertuǧrul Taciroğlu
Computer-Aided Civil and Infrastructure Engineering (2024) Vol. 39, Iss. 13, pp. 1928-1945
Open Access | Times Cited: 7
Predicting ocean pressure field with a physics-informed neural network
Seunghyun Yoon, Yongsung Park, Peter Gerstoft, et al.
The Journal of the Acoustical Society of America (2024) Vol. 155, Iss. 3, pp. 2037-2049
Closed Access | Times Cited: 7
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
Review of physics-informed machine-learning inversion of geophysical data
Gerard T. Schuster, Yuqing Chen, Shihang Feng
Geophysics (2024) Vol. 89, Iss. 6, pp. T337-T356
Closed Access | Times Cited: 7
Artificial intelligence for mineral exploration: A review and perspectives on future directions from data science
Fanfan Yang, Renguang Zuo, Oliver P. Kreuzer
Earth-Science Reviews (2024), pp. 104941-104941
Closed Access | Times Cited: 6
On acoustic fields of complex scatters based on physics-informed neural networks
Hao Wang, Jian Li, Linfeng Wang, et al.
Ultrasonics (2022) Vol. 128, pp. 106872-106872
Closed Access | Times Cited: 27
Simulating Multicomponent Elastic Seismic Wavefield Using Deep Learning
Chao Song, Yang Liu, Pengfei Zhao, et al.
IEEE Geoscience and Remote Sensing Letters (2023) Vol. 20, pp. 1-5
Closed Access | Times Cited: 14
On the use of neural networks for full waveform inversion
Leon Herrmann, Tim Bürchner, Felix Dietrich, et al.
Computer Methods in Applied Mechanics and Engineering (2023) Vol. 415, pp. 116278-116278
Open Access | Times Cited: 14
Physics-informed deep learning for scattered full wavefield reconstruction from a sparse set of sensor data for impact diagnosis in structural health monitoring
Sakib Ashraf Zargar, Fuh‐Gwo Yuan
Structural Health Monitoring (2024) Vol. 23, Iss. 5, pp. 2963-2979
Closed Access | Times Cited: 5
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
A new modified deep learning technique based on physics-informed neural networks (PINNs) for the shock-induced coupled thermoelasticity analysis in a porous material
Katayoun Eshkofti, Seyed Mahmoud Hosseini
Journal of Thermal Stresses (2024) Vol. 47, Iss. 6, pp. 798-825
Closed Access | Times Cited: 5
Numerical simulations of time-domain seismic wave propagation for a point source in 2-D onshore and offshore geological models
Moosoo Won, Bing Zhou, Mohamed Jamal Zemerly, et al.
Computers & Geosciences (2025), pp. 105846-105846
Closed Access
Predictive modeling of seismic wave fields: learning the transfer function using encoder-decoder networks
Jana Klinge, Sven Schippkus, Jan Walda, et al.
Geophysical Journal International (2025) Vol. 240, Iss. 3, pp. 1611-1621
Open Access
Physics-informed deep learning quantifies propagated uncertainty in seismic structure and hypocenter determination
Ryoichiro Agata, Kazuya Shiraishi, Gou Fujie
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
FE-PIRBN:Feature-Enhanced physics-informed radial basis neural networks for solving high-frequency electromagnetic scattering problems
Huimin Zhang, Chao Li, Rui Xia, et al.
Journal of Computational Physics (2025) Vol. 527, pp. 113798-113798
Closed Access
Outlier-resistant physics-informed neural network
David Duarte, Paulo Douglas Santos de Lima, João M. de Araújo
Physical review. E (2025) Vol. 111, Iss. 2
Closed Access
Scientific Machine Learning for Guided Wave and Surface Acoustic Wave (SAW) Propagation: PgNN, PeNN, PINN, and Neural Operator
Nafisa Mehtaj, Sourav Banerjee
Sensors (2025) Vol. 25, Iss. 5, pp. 1401-1401
Open Access
Solving Inverse Wave Problems Using Spacetime Radial Basis Functions in Neural Networks
Chih‐Yu Liu, Cheng‐Yu Ku, Weida Chen, et al.
Mathematics (2025) Vol. 13, Iss. 5, pp. 725-725
Open Access
Leveraging physics-informed neural networks in geotechnical earthquake engineering: An assessment on seismic site response analyses
Chenying Liu, Jorge Macedo, Alexander Sánchez-Rodríguez
Computers and Geotechnics (2025) Vol. 182, pp. 107137-107137
Closed Access
A physics-informed clustering approach for ultrasonics-based nondestructive evaluation
Michail Skiadopoulos, Evan P. Bozek, Lalith Sai Srinivas Pillarisetti, et al.
NDT & E International (2025), pp. 103362-103362
Closed Access
Continuous High-Throughput Characterization of Mechanical Properties via Deep Learning
Guohua Zhu, Xueyan Hu, Rui‐Ying Bao, et al.
International Journal of Mechanical Sciences (2025), pp. 110137-110137
Closed Access
Physics-informed learning in artificial electromagnetic materials
Yang Deng, Kebin Fan, Biaobing Jin, et al.
Applied Physics Reviews (2025) Vol. 12, Iss. 1
Closed Access
Physics‐Informed Deep Learning for Forward and Inverse Modeling of Inplane Crustal Deformation
Tomohisa Okazaki, Kazuro Hirahara, Takeo Ito, et al.
Journal of Geophysical Research Machine Learning and Computation (2025) Vol. 2, Iss. 1
Open Access

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