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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:

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

Showing 16 citing articles:

TXED: The Texas Earthquake Dataset for AI
Yangkang Chen, Alexandros Savvaidis, Omar M. Saad, et al.
Seismological Research Letters (2024) Vol. 95, Iss. 3, pp. 2013-2022
Closed 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: 7
CREDIT-X1local: A reference dataset for machine learning seismology from ChinArray in Southwest China
Lu Li, Weitao Wang, Ziye Yu, et al.
Earthquake Science (2024) Vol. 37, Iss. 2, pp. 139-157
Open Access | Times Cited: 5
RPNet: Robust P-Wave First-Motion Polarity Determination Using Deep Learning
Jongwon Han, Seongryong Kim, Dong‐Hoon Sheen
Seismological Research Letters (2025)
Closed Access
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
SeisT: A Foundational Deep-Learning Model for Earthquake Monitoring Tasks
Sen Li, Yang Xu, Anye Cao, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-15
Closed Access | Times Cited: 1
Colombian Seismic Monitoring Using Advanced Machine-Learning Algorithms
E. Castillo, Daniel Siervo, G. A. Prieto
Seismological Research Letters (2024) Vol. 95, Iss. 5, pp. 2971-2985
Closed Access | Times Cited: 1
Deep learning models for regional phase detection on seismic stations in Northern Europe and the European Arctic
Erik Bryhn Myklebust, Andreas Köhler
Geophysical Journal International (2024) Vol. 239, Iss. 2, pp. 862-881
Open 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
ICAT-net: a lightweight neural network with optimized coordinate attention and transformer mechanisms for earthquake detection and phase picking
Xuening Li, Fangjiong Chen, Ye-Ping Lai, et al.
The Journal of Supercomputing (2024) Vol. 81, Iss. 1
Closed Access | Times Cited: 1
Effects on a Deep-Learning, Seismic Arrival-Time Picker of Domain-Knowledge Based Preprocessing of Input Seismograms
Anthony Lomax, Matteo Bagagli, Sonja Gaviano, et al.
Seismica (2024) Vol. 3, Iss. 1
Open Access
Evaluating Automated Seismic Event Detection Approaches: An Application to Victoria Land, East Antarctica
L Ho, J. I. Walter, S. E. Hansen, et al.
Journal of Geophysical Research Machine Learning and Computation (2024) Vol. 1, Iss. 3
Open Access
ICAT-net:Integration of Coordinate Attention and Transformer network for seismic signal detection and phase arrival picking
X. Li, Fangjiong Chen, Ye-Ping Lai, et al.
Research Square (Research Square) (2024)
Open Access
The CWA Benchmark: A Seismic Dataset from Taiwan for Seismic Research
K.S. Tang, Kuan-Yu Chen, Da-Yi Chen, et al.
Seismological Research Letters (2024)
Closed 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
SeisT: A foundational deep learning model for earthquake monitoring tasks
Sen Li, Xu Yang, Anye Cao, et al.
arXiv (Cornell University) (2023)
Open Access
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