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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:

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

Showing 1-25 of 49 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
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
DiTing: A large-scale Chinese seismic benchmark dataset for artificial intelligence in seismology
Ming Zhao, Zhuowei Xiao, Shi Chen, et al.
Earthquake Science (2023) Vol. 36, Iss. 2, pp. 84-94
Open Access | Times Cited: 46
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
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
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
DiTingMotion: A deep-learning first-motion-polarity classifier and its application to focal mechanism inversion
Ming Zhao, Zhuowei Xiao, Miao Zhang, et al.
Frontiers in Earth Science (2023) Vol. 11
Open Access | Times Cited: 21
Comparison of the earthquake detection abilities of PhaseNet and EQTransformer with the Yangbi and Maduo earthquakes
Ce Jiang, Lihua Fang, Liping Fan, et al.
Earthquake Science (2021) Vol. 34, Iss. 5, pp. 425-435
Open Access | Times Cited: 34
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
Characterisation of precursory seismic activity towards early warning of landslides via semi-supervised learning
David Murray, Lina Stanković, Vladimir Stanković, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open 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
Local Magnitude Estimation via an Attention-Based Machine Learning Model
Ji Zhang, Aitaro Kato, Huiyu Zhu, et al.
Seismological Research Letters (2025)
Closed Access
Comprehensive Analysis of Local Earthquakes in the Eastern Himalaya Through Deep Scanning of the Bhutan Seismic Network
Zamir Khurshid, Hamzeh Mohammadigheymasi, Dawei Gao, et al.
Seismological Research Letters (2025)
Closed Access
A Microseismic Phase Picking and Polarity Determination Model Based on the Earthquake Transformer
Ling Peng, Lei Li, Xiaobao Zeng
Applied Sciences (2025) Vol. 15, Iss. 7, pp. 3424-3424
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: 20
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
Fine Seismogenic Fault Structures and Complex Rupture Characteristics of the 2022 M6.8 Luding, Sichuan Earthquake Sequence Revealed by Deep Learning and Waveform Modeling
Xu Zhao, Zhuowei Xiao, Wei Wang, et al.
Geophysical Research Letters (2023) Vol. 50, Iss. 18
Open Access | Times Cited: 11
Improved U-Net3+ Network for First Arrival Picking of Noisy Earthquake Recordings
Tong Shen, Xuan Jiang, S.Z. Wang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-11
Closed Access | Times Cited: 3
Missing well-log reconstruction using a sequence self-attention deep-learning framework
Lei Lin, Hao Wei, Tiantian Wu, et al.
Geophysics (2023) Vol. 88, Iss. 6, pp. D391-D410
Closed Access | Times Cited: 8
The seismogenic structures and migration characteristics of the 2021 Yangbi M6.4 Earthquake sequence in Yunnan, China
Kun Yan, Weijun Wang, Fei Peng, et al.
Science China Earth Sciences (2022) Vol. 65, Iss. 8, pp. 1522-1537
Closed Access | Times Cited: 13
New Insights Into Active Faults Revealed by a Deep‐Learning‐Based Earthquake Catalog in Central Myanmar
Shun Yang, Zhuowei Xiao, Shengji Wei, et al.
Geophysical Research Letters (2024) Vol. 51, Iss. 2
Open Access | Times Cited: 2
Building Precise Local Submarine Earthquake Catalogs via a Deep-Learning-Empowered Workflow and its Application to the Challenger Deep
Xueshan Wu, Song Huang, Zhuowei Xiao, et al.
Frontiers in Earth Science (2022) Vol. 10
Open Access | Times Cited: 12
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