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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:

MALMI: An Automated Earthquake Detection and Location Workflow Based on Machine Learning and Waveform Migration
Peidong Shi, Francesco Grigoli, Federica Lanza, et al.
Seismological Research Letters (2022) Vol. 93, Iss. 5, pp. 2467-2483
Open Access | Times Cited: 38

Showing 1-25 of 38 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: 111
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: 21
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: 34
Hypocenter‐Based 3D Imaging of Active Faults: Method and Applications in the Southwestern Swiss Alps
Sandro Truttmann, Tobias Diehl, Marco Herwegh
Journal of Geophysical Research Solid Earth (2023) Vol. 128, Iss. 6
Open Access | Times Cited: 14
Locating clustered seismicity using Distance Geometry Solvers: applications for sparse and single-borehole DAS networks
Katinka Tuinstra, Francesco Grigoli, Federica Lanza, et al.
Geophysical Journal International (2024) Vol. 238, Iss. 2, pp. 661-680
Open Access | Times Cited: 5
Qseek: A data-driven Framework for Automated Earthquake Detection, Localization and Characterization
Marius Paul Isken, Sebastian Heimann, Peter Niemz, et al.
Seismica (2025) Vol. 4, Iss. 1
Open Access
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
Better Together: Ensemble Learning for Earthquake Detection and Phase Picking
Congcong Yuan, Yiyu Ni, Youzuo Lin, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-17
Closed Access | Times Cited: 11
Application of artificial intelligence technology in the study of anthropogenic earthquakes: a review
Jingwei Li, Hongyu Zhai, Changsheng Jiang, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 5
Open Access
Combined Large-NSeismic Arrays and DAS Fiber Optic Cables across the Hengill Geothermal Field, Iceland
Anne Obermann, Pilar Sánchez‐Pastor, Sin‐Mei Wu, et al.
Seismological Research Letters (2022) Vol. 93, Iss. 5, pp. 2498-2514
Closed Access | Times Cited: 13
Seismic Arrival-time Picking on Distributed Acoustic Sensing Data using Semi-supervised Learning
Weiqiang Zhu, Ettore Biondi, Jiaxuan Li, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 6
Learning the Deep and the Shallow: Deep-Learning-Based Depth Phase Picking and Earthquake Depth Estimation
Jannes Münchmeyer, Joachim Saul, Frederik Tilmann
Seismological Research Letters (2023) Vol. 95, Iss. 3, pp. 1543-1557
Closed Access | Times Cited: 6
MLAAPDE: A Machine Learning Dataset for Determining Global Earthquake Source Parameters
Hank M. Cole, William L. Yeck, H. Benz
Seismological Research Letters (2023) Vol. 94, Iss. 5, pp. 2489-2499
Closed Access | Times Cited: 5
Monitoring seismicity in the southern Sichuan Basin using a machine learning workflow
Kang Wang, Jie Zhang, Ji Zhang, et al.
Earthquake research advances (2023) Vol. 4, Iss. 1, pp. 100241-100241
Open Access | Times Cited: 4
Deep Learning-Based Microseismic Detection and Location Reveal the Seismic Characteristics and Causes in the Xiluodu Reservoir, China
Ziyi Li, Lianqing Zhou, Mengqiao Duan, et al.
Bulletin of the Seismological Society of America (2023) Vol. 114, Iss. 2, pp. 806-822
Closed Access | Times Cited: 4
A High‐Resolution Seismic Catalog for the Southern Apennines (Italy) Built Through Template‐Matching
Giovanni Diaferia, Luisa Valoroso, Luigi Improta, et al.
Geochemistry Geophysics Geosystems (2024) Vol. 25, Iss. 3
Open Access | Times Cited: 1
Next Generation Seismic Source Detection by Computer Vision: Untangling the Complexity of the 2016 Kaikōura Earthquake Sequence
Fengzhou Tan, Honn Kao, Kwang Moo Yi, et al.
Journal of Geophysical Research Solid Earth (2024) Vol. 129, Iss. 5
Open Access | Times Cited: 1
DMLoc: Automatic Microseismic Locating Workflow Based on Deep Learning and Waveform Migration
Yizhuo Liu, Jing Zheng, Ruijia Wang, et al.
Seismological Research Letters (2024) Vol. 95, Iss. 5, pp. 2997-3007
Closed Access | Times Cited: 1
From Labquakes to Megathrusts: Scaling Deep Learning Based Pickers Over 15 Orders of Magnitude
Peidong Shi, Men‐Andrin Meier, Linus Villiger, et al.
Journal of Geophysical Research Machine Learning and Computation (2024) Vol. 1, Iss. 4
Open Access | Times Cited: 1
Autonomous Earthquake Location via Deep Reinforcement Learning
Wenhuan Kuang, Congcong Yuan, Zhihui Zou, et al.
Seismological Research Letters (2023) Vol. 95, Iss. 1, pp. 367-377
Closed Access | Times Cited: 3
BPMF: A Backprojection and Matched-Filtering Workflow for Automated Earthquake Detection and Location
Éric Beaucé, William B. Frank, Léonard Seydoux, et al.
Seismological Research Letters (2023) Vol. 95, Iss. 2A, pp. 1030-1042
Closed Access | Times Cited: 3
The Weisweiler passive seismological network: optimised for state-of-the-art location and imaging methods
Claudia Finger, Marco Pascal Roth, Marco Dietl, et al.
Earth system science data (2023) Vol. 15, Iss. 6, pp. 2655-2666
Open Access | Times Cited: 3
Preface to the Focus Section on Big Data Problems in Seismology
Daniel T. Trugman, Lihua Fang, Jonathan Ajo‐Franklin, et al.
Seismological Research Letters (2022) Vol. 93, Iss. 5, pp. 2423-2425
Closed Access | Times Cited: 4
Performance of AI-Based Phase Picking and Event Association Methods after the Large 2023 Mw 7.8 and 7.6 Türkiye Doublet
Dirk Becker, Ian W. McBrearty, Gregory C. Beroza, et al.
Bulletin of the Seismological Society of America (2024) Vol. 114, Iss. 5, pp. 2457-2473
Closed Access
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