Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

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: 31

Showing 1-25 of 31 citing articles:

Sensing prior constraints in deep neural networks for solving exploration geophysical problems
Xinming Wu, Jianwei Ma, Xu Si, et al.
Proceedings of the National Academy of Sciences (2023) Vol. 120, Iss. 23
Open Access | Times Cited: 44
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
When geoscience meets generative AI and large language models: Foundations, trends, and future challenges
Abdenour Hadid, Tanujit Chakraborty, D. Busby
Expert Systems (2024) Vol. 41, Iss. 10
Closed Access | Times Cited: 9
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
Explainable deep learning for automatic rock classification
Dongyu Zheng, Hanting Zhong, Gustau Camps‐Valls, et al.
Computers & Geosciences (2023) Vol. 184, pp. 105511-105511
Closed Access | Times Cited: 15
Boundary integrated neural networks and code for acoustic radiation and scattering
Wenzhen Qu, Yan Gu, Shengdong Zhao, et al.
International journal of mechanical system dynamics (2024) Vol. 4, Iss. 2, pp. 131-141
Open Access | Times Cited: 5
Innovative data-driven algorithm for defect parameter identification in large-scale structures
Shouyan Jiang, Wangtao Deng, Peng Zhang, et al.
Applied Mathematical Modelling (2025), pp. 115935-115935
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
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
Discovery and inversion of the viscoelastic wave equation in inhomogeneous media
Su Chen, Yi Ding, H. Miyake, et al.
Computer Physics Communications (2025), pp. 109599-109599
Closed Access
Multimodal fusion-based spatiotemporal incremental learning for ocean environment perception under sparse observation
Lei Lei, Jie Huang, Yu Zhou
Information Fusion (2024) Vol. 108, pp. 102360-102360
Closed Access | Times Cited: 4
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
Intelligent processing for clearer seismic images
Tao Zhao, Haibin Di
Elsevier eBooks (2025), pp. 143-167
Closed Access
Solving nonlinear soliton equations using improved physics-informed neural networks with adaptive mechanisms
Yanan Guo, Xiaoqun Cao, Kecheng Peng
Communications in Theoretical Physics (2023) Vol. 75, Iss. 9, pp. 095003-095003
Closed Access | Times Cited: 10
A comprehensive review of seismic inversion based on neural networks
Ming Li, Xuesong Yan, Mingzhao Zhang
Earth Science Informatics (2023) Vol. 16, Iss. 4, pp. 2991-3021
Closed Access | Times Cited: 9
Physics-informed neural network for acoustic resonance analysis in a one-dimensional acoustic tube
Kazuya Yokota, Takahiko KURAHASHI, Masajiro ABE
The Journal of the Acoustical Society of America (2024) Vol. 156, Iss. 1, pp. 30-43
Open Access | Times Cited: 3
Physics-constrained neural networks for half-space seismic wave modeling
Yi S. Ding, Su Chen, Xiaojun Li, et al.
Computers & Geosciences (2023) Vol. 181, pp. 105477-105477
Closed Access | Times Cited: 8
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
Full-Waveform Inversion Using a Learned Regularization
Pengpeng Sun, Fangshu Yang, Hongxian Liang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-15
Closed Access | Times Cited: 5
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
Spatial acoustic properties recovery with deep learning
Ruixian Liu, Peter Gerstoft
The Journal of the Acoustical Society of America (2024) Vol. 155, Iss. 6, pp. 3690-3701
Closed Access | Times Cited: 1
Seismic inversion based on principal component analysis and probabilistic neural network for prediction of porosity from post-stack seismic data
Nitin Verma, Ravi Kant, S. P. Maurya, et al.
Earth Science Informatics (2024) Vol. 18, Iss. 1
Closed Access | Times Cited: 1
Deep Learning in Geophysics: Current Status, Challenges, and Future Directions
Jiyun Yu, Jongchan Oh, Shinhye Kong, et al.
Journal of the Korean Society of Mineral and Energy Resources Engineers (2024) Vol. 61, Iss. 1, pp. 61-81
Open Access
Fully Convolutional Network-Enhanced DeepONet-Based Surrogate of Predicting the Travel-Time Fields
Yifan Mei, Yijie Zhang, Xueyu Zhu, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-12
Closed Access
可解释性矿产预测人工智能模型
仁广 左, 秋明 成, 莹 许, et al.
SCIENTIA SINICA Terrae (2024) Vol. 54, Iss. 9, pp. 2917-2928
Open Access
Page 1 - Next Page

Scroll to top