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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:

Bayesian Physics-Informed Neural Networks for the Subsurface Tomography Based on the Eikonal Equation
Rongxi Gou, Yijie Zhang, Xueyu Zhu, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-12
Open Access | Times Cited: 13

Showing 13 citing articles:

A critical review of physics-informed machine learning applications in subsurface energy systems
Abdeldjalil Latrach, Mohamed Lamine Malki, Misael M. Morales, et al.
Geoenergy Science and Engineering (2024) Vol. 239, pp. 212938-212938
Open Access | Times Cited: 18
Seismic Inversion Based on Acoustic Wave Equations Using Physics-Informed Neural Network
Yijie Zhang, Xueyu Zhu, Jinghuai Gao
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-11
Closed Access | Times Cited: 32
Integrating physics of the problem into data-driven methods to enhance elastic full-waveform inversion with uncertainty quantification
Vahid Negahdari, Seyed Reza Moghadasi, Mohammad Reza Razvan
Physica D Nonlinear Phenomena (2025), pp. 134518-134518
Open Access
Randomized physics-informed neural networks for Bayesian data assimilation
Yifei Zong, David A. Barajas‐Solano, Alexandre M. Tartakovsky
Computer Methods in Applied Mechanics and Engineering (2025) Vol. 436, pp. 117670-117670
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
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
A Critical Review of Physics-Informed Machine Learning Applications in Subsurface Energy Systems
Abdeldjalil Latrach, Mohamed Lamine Malki, Misael M. Morales, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 4
A fast solution for the eikonal equation based on quadratic function in weakly tilted transversely isotropic media
Yongming Lu, Jianfeng Zhang, Kai Yang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-10
Closed Access | Times Cited: 1
Physics‐Informed Neural Networks for Elliptical‐Anisotropy Eikonal Tomography: Application to Data From the Northeastern Tibetan Plateau
Yunpeng Chen, Sjoerd de Ridder, Sebastian Rost, et al.
Journal of Geophysical Research Solid Earth (2023) Vol. 128, Iss. 12
Open Access | Times Cited: 3
Fusion of Multiresolution Seismic Tomography Maps Using Physics-informed Probability Graphical Models
Zheng Zhou, Peter Gerstoft, K. B. Olsen
Authorea (Authorea) (2023)
Open Access | Times Cited: 2
Seismic Traveltime Tomography with Label-free Learning
Feng Wang, Bo Yang, Renfang Wang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-15
Open Access
The emergence and impact of scientific machine learning in geophysical exploration
Umair bin Waheed
(2023), pp. 1807-1812
Closed Access | Times Cited: 1
Graph-learning approach to combine multiresolution seismic velocity models
Zheng Zhou, Peter Gerstoft, K. B. Olsen
Geophysical Journal International (2024) Vol. 238, Iss. 3, pp. 1353-1365
Open Access
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