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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:

P Wave Arrival Picking and First‐Motion Polarity Determination With Deep Learning
Zachary E. Ross, Men‐Andrin Meier, Egill Hauksson
Journal of Geophysical Research Solid Earth (2018) Vol. 123, Iss. 6, pp. 5120-5129
Open Access | Times Cited: 156

Showing 1-25 of 156 citing articles:

Machine learning for data-driven discovery in solid Earth geoscience
Karianne J. Bergen, Paul A. Johnson, Maarten V. de Hoop, et al.
Science (2019) Vol. 363, Iss. 6433
Closed Access | Times Cited: 916
Earthquake transformer—an attentive deep-learning model for simultaneous earthquake detection and phase picking
S. Mostafa Mousavi, William L. Ellsworth, Weiqiang Zhu, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 698
Machine Learning in Seismology: Turning Data into Insights
Qingkai Kong, Daniel T. Trugman, Zachary E. Ross, et al.
Seismological Research Letters (2018) Vol. 90, Iss. 1, pp. 3-14
Open Access | Times Cited: 413
Deep Learning for Geophysics: Current and Future Trends
Siwei Yu, Jianwei Ma
Reviews of Geophysics (2021) Vol. 59, Iss. 3
Open Access | Times Cited: 315
CRED: A Deep Residual Network of Convolutional and Recurrent Units for Earthquake Signal Detection
S. Mostafa Mousavi, Weiqiang Zhu, Yixiao Sheng, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 301
A Machine‐Learning Approach for Earthquake Magnitude Estimation
S. Mostafa Mousavi, Gregory C. Beroza
Geophysical Research Letters (2019) Vol. 47, Iss. 1
Open Access | Times Cited: 233
70 years of machine learning in geoscience in review
Jesper Dramsch
Advances in geophysics (2020), pp. 1-55
Open Access | Times Cited: 218
Deep denoising autoencoder for seismic random noise attenuation
Omar M. Saad, Yangkang Chen
Geophysics (2020) Vol. 85, Iss. 4, pp. V367-V376
Closed Access | Times Cited: 215
Deep learning for geological hazards analysis: Data, models, applications, and opportunities
Zhengjing Ma, Gang Mei
Earth-Science Reviews (2021) Vol. 223, pp. 103858-103858
Open Access | Times Cited: 193
Rapid Earthquake Association and Location
Miao Zhang, William L. Ellsworth, Gregory C. Beroza
Seismological Research Letters (2019) Vol. 90, Iss. 6, pp. 2276-2284
Closed Access | Times Cited: 182
Unsupervised Clustering of Seismic Signals Using Deep Convolutional Autoencoders
S. Mostafa Mousavi, Weiqiang Zhu, William L. Ellsworth, et al.
IEEE Geoscience and Remote Sensing Letters (2019) Vol. 16, Iss. 11, pp. 1693-1697
Closed Access | Times Cited: 160
Mapping mineral prospectivity through big data analytics and a deep learning algorithm
Yihui Xiong, Renguang Zuo, Emmanuel John M. Carranza
Ore Geology Reviews (2018) Vol. 102, pp. 811-817
Open Access | Times Cited: 158
Generalized Seismic Phase Detection with Deep Learning
Zachary E. Ross, Men‐Andrin Meier, Egill Hauksson, et al.
Bulletin of the Seismological Society of America (2018) Vol. 108, Iss. 5A, pp. 2894-2901
Open Access | Times Cited: 147
Hybrid Event Detection and Phase‐Picking Algorithm Using Convolutional and Recurrent Neural Networks
Yijian Zhou, Han Yue, Qingkai Kong, et al.
Seismological Research Letters (2019) Vol. 90, Iss. 3, pp. 1079-1087
Closed Access | Times Cited: 133
Deep Learning for Picking Seismic Arrival Times
Jian Wang, Zhuowei Xiao, Chang Liu, et al.
Journal of Geophysical Research Solid Earth (2019) Vol. 124, Iss. 7, pp. 6612-6624
Closed Access | Times Cited: 131
Reliable Real‐Time Seismic Signal/Noise Discrimination With Machine Learning
Men‐Andrin Meier, Zachary E. Ross, Anshul Ramachandran, et al.
Journal of Geophysical Research Solid Earth (2018) Vol. 124, Iss. 1, pp. 788-800
Open Access | Times Cited: 130
A Deep Convolutional Neural Network for Localization of Clustered Earthquakes Based on Multistation Full Waveforms
Marius Kriegerowski, Gesa Petersen, Hannes Vasyura‐Bathke, et al.
Seismological Research Letters (2018) Vol. 90, Iss. 2A, pp. 510-516
Closed Access | Times Cited: 122
An Investigation of Rapid Earthquake Characterization Using Single‐Station Waveforms and a Convolutional Neural Network
Anthony Lomax, Alberto Michelini, Dario Jozinović
Seismological Research Letters (2019) Vol. 90, Iss. 2A, pp. 517-529
Closed Access | Times Cited: 122
Rapid Characterization of the July 2019 Ridgecrest, California, Earthquake Sequence From Raw Seismic Data Using Machine‐Learning Phase Picker
Min Liu, Miao Zhang, Weiqiang Zhu, et al.
Geophysical Research Letters (2020) Vol. 47, Iss. 4
Closed Access | Times Cited: 117
Neural Network Applications in Earthquake Prediction (1994–2019): Meta-Analytic and Statistical Insights on Their Limitations
Arnaud Mignan, Marco Broccardo
Seismological Research Letters (2020) Vol. 91, Iss. 4, pp. 2330-2342
Open Access | Times Cited: 114
Using a Deep Neural Network and Transfer Learning to Bridge Scales for Seismic Phase Picking
Chengping Chai, Mónica Maceira, Hector Santos-Villalobos, et al.
Geophysical Research Letters (2020) Vol. 47, Iss. 16
Open Access | Times Cited: 113
Deep learning for seismic phase detection and picking in the aftershock zone of 2008 M7.9 Wenchuan Earthquake
Lijun Zhu, Zhigang Peng, James H. McClellan, et al.
Physics of The Earth and Planetary Interiors (2019) Vol. 293, pp. 106261-106261
Open Access | Times Cited: 110
Automatic Waveform Classification and Arrival Picking Based on Convolutional Neural Network
Yangkang Chen, Guoyin Zhang, Min Bai, et al.
Earth and Space Science (2019) Vol. 6, Iss. 7, pp. 1244-1261
Open Access | Times Cited: 102
Real-time determination of earthquake focal mechanism via deep learning
Wenhuan Kuang, Congcong Yuan, Jie Zhang
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 98
Seismic Signal Denoising and Decomposition Using Deep Neural Networks
Weiqiang Zhu, S. Mostafa Mousavi, Gregory C. Beroza
IEEE Transactions on Geoscience and Remote Sensing (2019) Vol. 57, Iss. 11, pp. 9476-9488
Open Access | Times Cited: 92
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