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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:

SeismoGen: Seismic Waveform Synthesis Using GAN With Application to Seismic Data Augmentation
Tiantong Wang, Daniel T. Trugman, Youzuo Lin
Journal of Geophysical Research Solid Earth (2021) Vol. 126, Iss. 4
Closed Access | Times Cited: 58

Showing 26-50 of 58 citing articles:

Intelligent seismic workflows: The power of generative AI and language models
Rayan Kanfar, Abdulmohsen Alali, Thierry-Laurent Tonellot, et al.
The Leading Edge (2025) Vol. 44, Iss. 2, pp. 142-151
Closed Access
Generative Adversarial Networks for Data Generation in Structural Health Monitoring
Furkan Luleci, F. Necati Çatbaş, Onur Avcı
Frontiers in Built Environment (2022) Vol. 8
Open Access | Times Cited: 17
Neural networks generative models for time series
Federico Gatta, Fabio Giampaolo, Edoardo Prezioso, et al.
Journal of King Saud University - Computer and Information Sciences (2022) Vol. 34, Iss. 10, pp. 7920-7939
Open Access | Times Cited: 16
Conditional generation of artificial earthquake waveforms based on adversarial networks
Shieh‐Kung Huang, Wei-Ting Chao, Yi-Xun Lin
Soil Dynamics and Earthquake Engineering (2024) Vol. 180, pp. 108622-108622
Closed Access | Times Cited: 3
TFCGAN: Nonstationary Ground-Motion Simulation in the Time–Frequency Domain Using Conditional Generative Adversarial Network (CGAN) and Phase Retrieval Methods
Reza Esfahani, Fabrice Cotton, Matthias Ohrnberger, et al.
Bulletin of the Seismological Society of America (2022) Vol. 113, Iss. 1, pp. 453-467
Closed Access | Times Cited: 15
Data‐Driven Design of Wave‐Propagation Models for Shale‐Oil Reservoirs Based on Machine Learning
Fansheng Xiong, Jing Ba, Davide Gei, et al.
Journal of Geophysical Research Solid Earth (2021) Vol. 126, Iss. 12
Closed Access | Times Cited: 18
Deep semi-supervised learning using generative adversarial networks for automated seismic facies classification of mass transport complex
Yun Xu, Vladimir Puzyrev, Chris Elders, et al.
Computers & Geosciences (2023) Vol. 180, pp. 105450-105450
Closed Access | Times Cited: 7
Deep-learning-guided high-resolution subsurface reflectivity imaging with application to ground-penetrating radar data
Kai Gao, Carly M. Donahue, Bradley G. Henderson, et al.
Geophysical Journal International (2022) Vol. 233, Iss. 1, pp. 448-471
Open Access | Times Cited: 11
A Fast Algorithm for Elastic Wave‐Mode Separation Using Deep Learning With Generative Adversarial Networks (GANs)
Harpreet Kaur, Sergey Fomel, Nam Pham
Journal of Geophysical Research Solid Earth (2021) Vol. 126, Iss. 9
Closed Access | Times Cited: 15
Fundamental study on probabilistic generative modeling of earthquake ground motion time histories using generative adversarial networks
Yuma Matsumoto, Taro Yaoyama, Sang-Won Lee, et al.
Japan Architectural Review (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 5
Generative Adversarial Networks for Labelled Vibration Data Generation
Furkan Luleci, F. Necati Çatbaş, Onur Avcı
Conference proceedings of the Society for Experimental Mechanics (2022), pp. 41-50
Closed Access | Times Cited: 7
Time series data augmentation method of small sample based on optimized generative adversarial network
Dongsheng Liu, Yuting Wu, Deyan Hong, et al.
Concurrency and Computation Practice and Experience (2022) Vol. 34, Iss. 27
Closed Access | Times Cited: 5
Prediction of fast neutron spectra with a spherical TEPC using a machine-learning algorithm
Rodolphe Antoni, Pierre-Guy Allinei, Laurent Bourgois
Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment (2023) Vol. 1050, pp. 168139-168139
Open Access | Times Cited: 2
Prediction of Failure Modes of Steel Tube-Reinforced Concrete Shear Walls Using Blending Fusion Model Based on Generative Adversarial Networks Data Augmentation
Guangchao Yang, Jigang Zhang, Zhehao Ma, et al.
Applied Sciences (2023) Vol. 13, Iss. 22, pp. 12433-12433
Open Access | Times Cited: 2
Deep Generative Model Conditioned by Phase Picks for Synthesizing Labeled Seismic Waveforms with Limited Data
Guoyi Chen, Junlun Li, Hao Guo
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-15
Open Access
Reconstruct 3D seismic data with randomly missing traces via fast self-supervised deep learning
Yinshuo Li, Wei Cao, Wenkai Lu, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-14
Closed Access
Producing artificial accelerograms compatible to response spectra, using the generative adversarial network
Jisong Kim, Byungmin Kim
Japanese Geotechnical Society Special Publication (2024) Vol. 10, Iss. 31, pp. 1159-1164
Open Access
Generative adversarial network to produce numerous artificial accelerograms with pseudo-spectral acceleration as conditional input
Jisong Kim, Byungmin Kim
Computers and Geotechnics (2024) Vol. 174, pp. 106566-106566
Closed Access
The Combined Use of GIS and Generative Artificial Intelligence in Detecting Potential Geodiversity Sites and Promoting Geoheritage
Paweł Wolniewicz
Resources (2024) Vol. 13, Iss. 9, pp. 119-119
Open Access
Deep transfer learning for P-wave arrival identification and automatic seismic source location in underground mines
Xu Yang, Sen Li, Anye Cao, et al.
International Journal of Rock Mechanics and Mining Sciences (2024) Vol. 182, pp. 105888-105888
Closed Access
Broadband Ground-Motion Simulations with Machine-Learning-Based High-Frequency Waves from Fourier Neural Operators
Tariq Anwar Aquib, P. Martín
Bulletin of the Seismological Society of America (2024)
Closed Access
Generative Adversarial Networks-Based Ground-Motion Model for Crustal Earthquakes in Japan Considering Detailed Site Conditions
Yuma Matsumoto, Taro Yaoyama, Sangwon Lee, et al.
Bulletin of the Seismological Society of America (2024)
Closed Access
MFF‐DenseNet: Densely Connected Convolutional Network With Multi‐Scale Feature Fusion for Magnetotelluric Noise Suppression
Jiayu Wang, Jin Li, Hui Zhou, et al.
Journal of Geophysical Research Solid Earth (2024) Vol. 129, Iss. 9
Closed Access
Upgoing and downgoing wavefield separation in VSP data using CGAN base on asymmetric convolution blocks
Danping Cao, Xin Chen, Yan Jia, et al.
Journal of Geophysics and Engineering (2024) Vol. 21, Iss. 5, pp. 1511-1525
Open Access
Ground motion model for acceleration response spectra using conditional-generative adversarial network
Pavan Mohan Neelamraju, Jahnabi Basu, S. T. G. Raghukanth
Natural Hazards (2024)
Closed Access

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