Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Which Picker Fits My Data? A Quantitative Evaluation of Deep Learning Based Seismic Pickers
Jannes Münchmeyer, Jack Woollam, Andreas Rietbrock, et al.
Journal of Geophysical Research Solid Earth (2022) Vol. 127, Iss. 1
Open Access | Times Cited: 112

Showing 1-25 of 112 citing articles:

Deep-learning seismology
S. Mostafa Mousavi, Gregory C. Beroza
Science (2022) Vol. 377, Iss. 6607
Closed Access | Times Cited: 274
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
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
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
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
A Mitigation Strategy for the Prediction Inconsistency of Neural Phase Pickers
Yongsoo Park, Gregory C. Beroza, William L. Ellsworth
Seismological Research Letters (2023)
Closed Access | Times Cited: 22
PyOcto: A high-throughput seismic phase associator
Jannes Münchmeyer
Seismica (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 12
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
OBSTransformer: a deep-learning seismic phase picker for OBS data using automated labelling and transfer learning
Alireza Niksejel, Miao Zhang
Geophysical Journal International (2024) Vol. 237, Iss. 1, pp. 485-505
Open Access | Times Cited: 8
USTC-Pickers: a Unified Set of seismic phase pickers Transfer learned for China
Jun Zhu, Zefeng Li, Lihua Fang
Earthquake Science (2023) Vol. 36, Iss. 2, pp. 95-112
Open Access | Times Cited: 19
Curated Pacific Northwest AI-ready Seismic Dataset
Yiyu Ni, Alexander Hutko, Francesca Skene, et al.
Seismica (2023) Vol. 2, Iss. 1
Open Access | Times Cited: 16
Seismogenic fault of the 2021 Ms 6.0 Luxian induced earthquake in the Sichuan Basin, China constrained by high-resolution seismic reflection and dense seismic array
Renqi Lu, Changsheng Jiang, Dengfa He, et al.
Journal of Structural Geology (2024) Vol. 179, pp. 105050-105050
Closed Access | Times Cited: 7
Deep Outer‐Rise Faults in the Southern Mariana Subduction Zone Indicated by a Machine‐Learning‐Based High‐Resolution Earthquake Catalog
Han Chen, Hongfeng Yang, Gaohua Zhu, et al.
Geophysical Research Letters (2022) Vol. 49, Iss. 12
Open Access | Times Cited: 22
Performance of Deep Learning Pickers in Routine Network Processing Applications
J. E. García Navarro, Luis Fernandez-Prieto, Antonio Villaseñor, et al.
Seismological Research Letters (2022) Vol. 93, Iss. 5, pp. 2529-2542
Open Access | Times Cited: 22
Tracing the Influence of Large Language Models across the Most Impactful Scientific Works
Dana-Mihaela Petroșanu, Alexandru Pîrjan, Alexandru Tăbuşcă
Electronics (2023) Vol. 12, Iss. 24, pp. 4957-4957
Open Access | Times Cited: 13
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: 13
Distinct Yet Adjacent Earthquake Sequences near the Mendocino Triple Junction: 20 December 2021 Mw 6.1 and 6.0 Petrolia, and 20 December 2022 Mw 6.4 Ferndale
Clara E. Yoon, D. R. Shelly
The Seismic Record (2024) Vol. 4, Iss. 1, pp. 81-92
Open Access | Times Cited: 4
TTNN: A Physically-Guided Deep Learning Model for Focal Depth and Epicenter Distance Estimation Base on Multistation Waveforms
Duofa Ji, Wenji Fang, Changhai Zhai, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-11
Closed Access | Times Cited: 4
Seismic Structure and Tectonics of the North‐Central Chilean Subduction Zone Along the Copiapó Ridge From Amphibious Seismic Refraction Tomography and Local Seismicity
Arne Warwel, Dietrich Lange, Anke Dannowski, et al.
Geochemistry Geophysics Geosystems (2025) Vol. 26, Iss. 1
Open Access
Reducing the Parameter Dependency of Phase-Picking Neural Networks with Dice Loss
Yongsoo Park, Gregory C. Beroza
The Seismic Record (2025) Vol. 5, Iss. 1, pp. 55-63
Open Access
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
RPNet: Robust P-Wave First-Motion Polarity Determination Using Deep Learning
Jongwon Han, Seongryong Kim, Dong‐Hoon Sheen
Seismological Research Letters (2025)
Closed Access
Page 1 - Next Page

Scroll to top