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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:

Automated Seismic Source Characterization Using Deep Graph Neural Networks
Martijn van den Ende, Jean‐Paul Ampuero
Geophysical Research Letters (2020) Vol. 47, Iss. 17
Open Access | Times Cited: 111

Showing 1-25 of 111 citing articles:

Deep-learning seismology
S. Mostafa Mousavi, Gregory C. Beroza
Science (2022) Vol. 377, Iss. 6607
Closed Access | Times Cited: 274
Deep learning for geological hazards analysis: Data, models, applications, and opportunities
Zhengjing Ma, Gang Mei
Earth-Science Reviews (2021) Vol. 223, pp. 103858-103858
Open Access | Times Cited: 193
Hybrid Deep-Learning Network for Rapid On-Site Peak Ground Velocity Prediction
Jingbao Zhu, Shanyou Li, Jindong Song
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-12
Closed Access | Times Cited: 120
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
LOC-FLOW: An End-to-End Machine Learning-Based High-Precision Earthquake Location Workflow
Miao Zhang, Min Liu, Tian Feng, et al.
Seismological Research Letters (2022) Vol. 93, Iss. 5, pp. 2426-2438
Closed Access | Times Cited: 101
SeisBench—A Toolbox for Machine Learning in Seismology
Jack Woollam, Jannes Münchmeyer, Frederik Tilmann, et al.
Seismological Research Letters (2022) Vol. 93, Iss. 3, pp. 1695-1709
Open Access | Times Cited: 82
Fairness in Graph Mining: A Survey
Yushun Dong, Jing Ma, Song Wang, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 35, Iss. 10, pp. 10583-10602
Open Access | Times Cited: 71
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
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
Earthquake magnitude and location estimation from real time seismic waveforms with a transformer network
Jannes Münchmeyer, Dino Bindi, Ulf Leser, et al.
Geophysical Journal International (2021) Vol. 226, Iss. 2, pp. 1086-1104
Open Access | Times Cited: 74
A versatile framework to solve the Helmholtz equation using physics-informed neural networks
Chao Song, Tariq Alkhalifah, Umair bin Waheed
Geophysical Journal International (2021) Vol. 228, Iss. 3, pp. 1750-1762
Closed Access | Times Cited: 65
A Self-Supervised Deep Learning Approach for Blind Denoising and Waveform Coherence Enhancement in Distributed Acoustic Sensing Data
Martijn van den Ende, Itzhak Lior, Jean‐Paul Ampuero, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 34, Iss. 7, pp. 3371-3384
Open Access | Times Cited: 56
Real‐Time Earthquake Detection and Magnitude Estimation Using Vision Transformer
Omar M. Saad, Yunfeng Chen, Alexandros Savvaidis, et al.
Journal of Geophysical Research Solid Earth (2022) Vol. 127, Iss. 5
Closed Access | Times Cited: 45
Earthquake Phase Association with Graph Neural Networks
Ian W. McBrearty, Gregory C. Beroza
Bulletin of the Seismological Society of America (2023) Vol. 113, Iss. 2, pp. 524-547
Open Access | Times Cited: 32
A Hybrid Deep Learning Model for Rapid Probabilistic Earthquake Source Parameter Estimation With Displacement Waveforms From a Flexible Set of Seismic or HR-GNSS Stations
Xuekai Lin, Caijun Xu, Guoyan Jiang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-16
Closed Access | Times Cited: 25
An all-in-one seismic phase picking, location, and association network for multi-task multi-station earthquake monitoring
Xu Si, Xinming Wu, Zefeng Li, et al.
Communications Earth & Environment (2024) Vol. 5, Iss. 1
Open Access | Times Cited: 11
Integrating sentiment analysis with graph neural networks for enhanced stock prediction: A comprehensive survey
Nabanita Das, Bikash Sadhukhan, Rajdeep Chatterjee, et al.
Decision Analytics Journal (2024) Vol. 10, pp. 100417-100417
Open Access | Times Cited: 11
Siamese Earthquake Transformer: A Pair‐Input Deep‐Learning Model for Earthquake Detection and Phase Picking on a Seismic Array
Zhuowei Xiao, Jian Wang, Chang Liu, et al.
Journal of Geophysical Research Solid Earth (2021) Vol. 126, Iss. 5
Closed Access | Times Cited: 49
Transfer learning: improving neural network based prediction of earthquake ground shaking for an area with insufficient training data
Dario Jozinović, Anthony Lomax, Ivan Štajduhar, et al.
Geophysical Journal International (2021) Vol. 229, Iss. 1, pp. 704-718
Open Access | Times Cited: 45
A Little Data Goes a Long Way: Automating Seismic Phase Arrival Picking at Nabro Volcano With Transfer Learning
Sacha Lapins, Berhe Goitom, J. M. Kendall, et al.
Journal of Geophysical Research Solid Earth (2021) Vol. 126, Iss. 7
Open Access | Times Cited: 41
3D Microseismic Monitoring Using Machine Learning
Yangkang Chen, Omar M. Saad, Alexandros Savvaidis, et al.
Journal of Geophysical Research Solid Earth (2022) Vol. 127, Iss. 3
Closed Access | Times Cited: 37
Simulating seismic multifrequency wavefields with the Fourier feature physics-informed neural network
Chao Song, Yanghua Wang
Geophysical Journal International (2022) Vol. 232, Iss. 3, pp. 1503-1514
Open Access | Times Cited: 35
Early Earthquake Detection Using Batch Normalization Graph Convolutional Neural Network (BNGCNN)
Muhammad Bilal, Yanju Ji, Yongzhi Wang, et al.
Applied Sciences (2022) Vol. 12, Iss. 15, pp. 7548-7548
Open Access | Times Cited: 33
Graph neural networks for multivariate time series regression with application to seismic data
Stefan Bloemheuvel, Jurgen van den Hoogen, Dario Jozinović, et al.
International Journal of Data Science and Analytics (2022) Vol. 16, Iss. 3, pp. 317-332
Open Access | Times Cited: 32
Instantaneous tracking of earthquake growth with elastogravity signals
Andrea Licciardi, Quentin Blétery, Bertrand Rouet‐Leduc, et al.
Nature (2022) Vol. 606, Iss. 7913, pp. 319-324
Open Access | Times Cited: 30
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