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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 1-25 of 58 citing articles:

Machine Learning in Earthquake Seismology
S. Mostafa Mousavi, Gregory C. Beroza
Annual Review of Earth and Planetary Sciences (2022) Vol. 51, Iss. 1, pp. 105-129
Open Access | Times Cited: 110
Machine learning in microseismic monitoring
Denis Anikiev, Claire Birnie, Umair bin Waheed, et al.
Earth-Science Reviews (2023) Vol. 239, pp. 104371-104371
Open Access | Times Cited: 60
Ten years of generative adversarial nets (GANs): a survey of the state-of-the-art
Tanujit Chakraborty, Ujjwal Reddy K S, Shraddha M. Naik, et al.
Machine Learning Science and Technology (2024) Vol. 5, Iss. 1, pp. 011001-011001
Open Access | Times Cited: 55
Generative adversarial networks review in earthquake-related engineering fields
Giuseppe Carlo Marano, Marco Martino Rosso, Angelo Aloisio, et al.
Bulletin of Earthquake Engineering (2023) Vol. 22, Iss. 7, pp. 3511-3562
Open Access | Times Cited: 42
CycleGAN for undamaged-to-damaged domain translation for structural health monitoring and damage detection
Furkan Luleci, F. Necati Çatbaş, Onur Avcı
Mechanical Systems and Signal Processing (2023) Vol. 197, pp. 110370-110370
Open Access | Times Cited: 42
Recent advances in earthquake seismology using machine learning
Hisahiko Kubo, Makoto Naoi, Masayuki Kano
Earth Planets and Space (2024) Vol. 76, Iss. 1
Open Access | Times Cited: 20
Similarity-Informed Self-Learning and Its Application on Seismic Image Denoising
Naihao Liu, Jiale Wang, Jinghuai Gao, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-13
Closed Access | Times Cited: 49
Big Data Seismology
Stephen Arrowsmith, Daniel T. Trugman, J. MacCarthy, et al.
Reviews of Geophysics (2022) Vol. 60, Iss. 2
Open Access | Times Cited: 47
Generative adversarial networks for labeled acceleration data augmentation for structural damage detection
Furkan Luleci, F. Necati Çatbaş, Onur Avcı
Journal of Civil Structural Health Monitoring (2022) Vol. 13, Iss. 1, pp. 181-198
Open Access | Times Cited: 44
EQCCT: A Production-Ready Earthquake Detection and Phase-Picking Method Using the Compact Convolutional Transformer
Omar M. Saad, Yunfeng Chen, Daniel Siervo, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-15
Closed Access | Times Cited: 36
Machine Learning Developments and Applications in Solid‐Earth Geosciences: Fad or Future?
Yunyue Elita Li, Daniel O’Malley, Greg Beroza, et al.
Journal of Geophysical Research Solid Earth (2023) Vol. 128, Iss. 1
Closed Access | Times Cited: 24
Broadband Ground-Motion Synthesis via Generative Adversarial Neural Operators: Development and Validation
Yaozhong Shi, Grigorios Lavrentiadis, Domniki Asimaki, et al.
Bulletin of the Seismological Society of America (2024) Vol. 114, Iss. 4, pp. 2151-2171
Open Access | Times Cited: 9
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
Rapid seismic-damage assessment method for buildings on a regional scale based on spectrum-compatible data augmentation and deep learning
Qingle Cheng, Aiqun Li, Haotian Ren, et al.
Soil Dynamics and Earthquake Engineering (2024) Vol. 178, pp. 108504-108504
Closed Access | Times Cited: 8
Integration of Deep Learning and Information Theory for Designing Monitoring Networks in Heterogeneous Aquifer Systems
Junjun Chen, Zhenxue Dai, Shuning Dong, et al.
Water Resources Research (2022) Vol. 58, Iss. 10
Open Access | Times Cited: 22
Generative deep learning for data generation in natural hazard analysis: motivations, advances, challenges, and opportunities
Zhengjing Ma, Gang Mei, Nengxiong Xu
Artificial Intelligence Review (2024) Vol. 57, Iss. 6
Open Access | Times Cited: 5
Machine learning for subsurface geological feature identification from seismic data: Methods, datasets, challenges, and opportunities
Lei Lin, Zhi Zhong, Chenglong Li, et al.
Earth-Science Reviews (2024) Vol. 257, pp. 104887-104887
Closed Access | Times Cited: 4
Data augmentation of dynamic responses for structural health monitoring using denoising diffusion probabilistic models
Wenhao Zheng, Jun Li, Hong Hao
Engineering Structures (2025) Vol. 328, pp. 119685-119685
Open Access
Simulating seismic wavefields using generative artificial intelligence
Rie Nakata, Nori Nakata, Pu Ren, et al.
The Leading Edge (2025) Vol. 44, Iss. 2, pp. 123-132
Closed Access
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
Machine Learning-based Analysis of the 2015 M5.8 Alxa Left Banner Earthquake Sequence
Fan Zhang, Xiaoming Han, Dong Pei, et al.
Applied Geophysics (2025)
Closed Access
Deep learning-based stochastic ground motion modeling using generative adversarial and convolutional neural networks
Mohsen Masoudifar, Mojtaba Mahsuli, Ertuǧrul Taciroğlu
Soil Dynamics and Earthquake Engineering (2025) Vol. 194, pp. 109306-109306
Closed Access
SeisAug: A Data Augmentation Python Toolkit
D. Pragnath, G. Srijayanthi, Santosh Kumar, et al.
Applied Computing and Geosciences (2025), pp. 100232-100232
Open Access
Decoding the footsteps of the African savanna: Classifying wildlife using seismic signals and machine learning
René Steinmann, Tarje Nissen‐Meyer, Fabrice Cotton, et al.
Methods in Ecology and Evolution (2025)
Open Access
EdgePhase: A Deep Learning Model for Multi‐Station Seismic Phase Picking
Tian Feng, Saeed Mohanna, Lingsen Meng
Geochemistry Geophysics Geosystems (2022) Vol. 23, Iss. 11
Closed Access | Times Cited: 18
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