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:

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

Showing 22 citing articles:

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

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

Combining Higher-Order Statistics and Array Techniques to Pick Low-Energy P-Seismic Arrivals
Giovanni Messuti, Mauro Palo, Silvia Scarpetta, et al.
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1172-1172
Open Access

AI‐PAL: Self‐Supervised AI Phase Picking via Rule‐Based Algorithm for Generalized Earthquake Detection
Yijian Zhou, Hongyang Ding, Abhijit Ghosh, et al.
Journal of Geophysical Research Solid Earth (2025) Vol. 130, Iss. 4
Open Access

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

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

A Practical Approach to Automatic Earthquake Catalog Compilation in Local OBS Networks Using Deep-Learning and Network-Based Algorithms
Matthias Pilot, Vera Schlindwein
Seismological Research Letters (2024) Vol. 95, Iss. 4, pp. 2124-2140
Closed Access | Times Cited: 3

Reactivation of Precambrian Faults by Deep Wastewater Injection in Midland Basin, Texas, and Performance Evaluation of Seismic Response Areas
Jeong‐Ung Woo, William L. Ellsworth
Bulletin of the Seismological Society of America (2023) Vol. 113, Iss. 6, pp. 2543-2556
Closed Access | Times Cited: 8

Global Nuclear Explosion Discrimination Using a Convolutional Neural Network
Louisa Barama, Jesse Williams, A. V. Newman, et al.
Geophysical Research Letters (2023) Vol. 50, Iss. 17
Open Access | Times Cited: 5

Parametric Testing of EQTransformer’s Performance against a High-Quality, Manually Picked Catalog for Reliable and Accurate Seismic Phase Picking
Olivia Pita‐Sllim, C. J. Chamberlain, John Townend, et al.
The Seismic Record (2023) Vol. 3, Iss. 4, pp. 332-341
Open Access | Times Cited: 4

Making Phase-Picking Neural Networks More Consistent and Interpretable
Yongsoo Park, Brent Delbridge, D. R. Shelly
The Seismic Record (2024) Vol. 4, Iss. 1, pp. 72-80
Open Access | Times Cited: 1

Strengthening the Development and Use of “Deep” Seismic Event Catalogs
Yongsoo Park, Gregory C. Beroza, William L. Ellsworth
Seismological Research Letters (2024) Vol. 95, Iss. 4, pp. 2041-2043
Closed Access | Times Cited: 1

Double-Difference Tomography with a Deep Learning–Based Phase Arrival Weighting Scheme and Its Application to the Anninghe–Xiaojiang Fault Zone
Ting Yang, Lihua Fang, Jian Wu, et al.
Seismological Research Letters (2024) Vol. 95, Iss. 6, pp. 3681-3695
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

Detection of hidden earthquakes after the 2011 Tohoku earthquake by automatic hypocenter determination combined with machine learning
Koji Tamaribuchi, Shota Kudo, Kengo Shimojo, et al.
Earth Planets and Space (2023) Vol. 75, Iss. 1
Open Access | Times Cited: 3

CORREL: Automated Onset Estimation for Controlled-Source Seismic Experiments
Valentina Reyes‐Wagner, D. Comte, S. W. Roecker, et al.
Pure and Applied Geophysics (2023) Vol. 180, Iss. 11, pp. 3753-3767
Closed Access | Times Cited: 2

Machine learning versus manual earthquake location workflow: testing LOC-FLOW on an unusually productive microseismic sequence in northeastern Italy
Monica Sugan, Laura Peruzza, Maria Adelaide Romano, et al.
Geomatics Natural Hazards and Risk (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 2

Characterization and evolution of seismic sequences in the normal fault environment of the Southern Apennines
Francesco Scotto di Uccio, Maddalena Michele, Claudio Strumia, et al.
Authorea (Authorea) (2024)
Open Access

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

Characterization and Evolution of Seismic Sequences in the Normal Fault Environment of the Southern Apennines
Francesco Scotto di Uccio, Maddalena Michele, Claudio Strumia, et al.
Journal of Geophysical Research Solid Earth (2024) Vol. 129, Iss. 8
Open Access

Seismology in the cloud: guidance for the individual researcher
Zoe Krauss, Yiyu Ni, Scott Henderson, et al.
Seismica (2023) Vol. 2, Iss. 2
Open Access | Times Cited: 1

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