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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:

Earthquake Phase Association Using a Bayesian Gaussian Mixture Model
Weiqiang Zhu, Ian W. McBrearty, S. Mostafa Mousavi, et al.
Journal of Geophysical Research Solid Earth (2022) Vol. 127, Iss. 5
Open Access | Times Cited: 96

Showing 1-25 of 96 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: 113
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
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: 23
Fast report: seismogenic structure of the 2025 M6.4 dapu earthquake sequence in western Taiwan revealed by a deep-learning-empowered earthquake catalog
Wu‐Yu Liao, En‐Jui Lee, Ruey‐Juin Rau, et al.
Terrestrial Atmospheric and Oceanic Sciences (2025) Vol. 36, Iss. 1
Open Access | Times Cited: 3
The magmatic web beneath Hawai‘i
John D. Wilding, Weiqiang Zhu, Zachary E. Ross, et al.
Science (2022) Vol. 379, Iss. 6631, pp. 462-468
Closed Access | Times Cited: 59
QuakeFlow: a scalable machine-learning-based earthquake monitoring workflow with cloud computing
Weiqiang Zhu, Alvin Brian Hou, Robert Yang, et al.
Geophysical Journal International (2022) Vol. 232, Iss. 1, pp. 684-693
Open Access | Times Cited: 52
Seismic arrival-time picking on distributed acoustic sensing data using semi-supervised learning
Weiqiang Zhu, Ettore Biondi, Jiaxuan Li, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 36
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
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
Sea Level Changes Affect Seismicity Rates in a Hydrothermal System Near Istanbul
Patricia Martínez‐Garzón, Gregory C. Beroza, Gian Maria Bocchini, et al.
Geophysical Research Letters (2023) Vol. 50, Iss. 3
Open Access | Times Cited: 22
PyOcto: A high-throughput seismic phase associator
Jannes Münchmeyer
Seismica (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 13
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: 12
The Evolution of Fault Orientation in the 2019 Ridgecrest Earthquake Sequence with a New Long-Term Catalog of Seismicity and Moment Tensors
James Atterholt, John D. Wilding, Zachary E. Ross
Geophysical Journal International (2025) Vol. 240, Iss. 3, pp. 1579-1592
Open Access | Times Cited: 1
Coexistence and Interplay of Thin-And Thick-Skinned Tectonics in Southwestern Taiwan: Insight from High-Resolution Seismicity Data
I‐Ying Lin, Wei‐Chen Huang, Wei‐Hau Wang, et al.
(2025)
Closed Access | Times Cited: 1
Causal processes of shallow and deep seismicity at Campi Flegrei caldera
G. Giacomuzzi, Rossella Fonzetti, Aladino Govoni, et al.
Communications Earth & Environment (2025) Vol. 6, Iss. 1
Open Access | Times Cited: 1
Leveraging Submarine DAS Arrays for Offshore Earthquake Early Warning: A Case Study in Monterey Bay, California
Yuancong Gou, R. M. Allen, Weiqiang Zhu, et al.
Bulletin of the Seismological Society of America (2025)
Closed Access | Times Cited: 1
Months-long seismicity transients preceding the 2023 MW 7.8 Kahramanmaraş earthquake, Türkiye
Grzegorz Kwiatek, Patricia Martínez‐Garzón, Dirk Becker, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 21
Complexity of initiation and evolution of the 2013 Yunlong earthquake swarm
Min Liu, Lu Li, Miao Zhang, et al.
Earth and Planetary Science Letters (2023) Vol. 612, pp. 118168-118168
Closed Access | Times Cited: 17
Emerging technologies and supporting tools for earthquake disaster management: A perspective, challenges, and future directions
Mohamed S. Abdalzaher, Moez Krichen, Francisco Falcone
Progress in Disaster Science (2024) Vol. 23, pp. 100347-100347
Open Access | Times Cited: 7
Phase Neural Operator for Multi‐Station Picking of Seismic Arrivals
Hongyu Sun, Zachary E. Ross, Weiqiang Zhu, et al.
Geophysical Research Letters (2023) Vol. 50, Iss. 24
Open Access | Times Cited: 15
Months-long preparation of the 2023 MW 7.8 Kahramanmaraş earthquake, Türkiye
Grzegorz Kwiatek, Patricia Martínez‐Garzón, Dirk Becker, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 13
Monitoring Subsurface Fracture Flow Using Unsupervised Deep Learning of Borehole Microseismic Waveform Data
Chenglong Duan, Lianjie Huang, Michael R. Gross, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-12
Open Access | Times Cited: 5
A Detailed View of the 2020–2023 Southwestern Puerto Rico Seismic Sequence with Deep Learning
Clara E. Yoon, E. S. Cochran, Elizabeth Vanacore, et al.
Bulletin of the Seismological Society of America (2023) Vol. 113, Iss. 6, pp. 2377-2415
Closed Access | Times Cited: 12
PickBlue: Seismic Phase Picking for Ocean Bottom Seismometers With Deep Learning
Thomas Bornstein, Dietrich Lange, Jannes Münchmeyer, et al.
Earth and Space Science (2023) Vol. 11, Iss. 1
Open Access | Times Cited: 12
IPIML: A Deep-Scan Earthquake Detection and Location Workflow Integrating Pair-Input Deep Learning Model and Migration Location Method
Hamzeh Mohammadigheymasi, Peidong Shi, Nasrin Tavakolizadeh, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-9
Closed Access | Times Cited: 11
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