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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:

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

Showing 1-25 of 301 citing articles:

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
Plant Disease Detection and Classification by Deep Learning
Muhammad Hammad Saleem, Johan Potgieter, Khalid Mahmood Arif
Plants (2019) Vol. 8, Iss. 11, pp. 468-468
Open Access | Times Cited: 611
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
STanford EArthquake Dataset (STEAD): A Global Data Set of Seismic Signals for AI
S. Mostafa Mousavi, Yixiao Sheng, Weiqiang Zhu, et al.
IEEE Access (2019) Vol. 7, pp. 179464-179476
Open Access | Times Cited: 307
Hydraulic Fracturing‐Induced Seismicity
Ryan Schultz, Robert J. Skoumal, M. R. Brudzinski, et al.
Reviews of Geophysics (2020) Vol. 58, Iss. 3
Open Access | Times Cited: 293
Applications of artificial intelligence for disaster management
Wenjuan Sun, Paolo Bocchini, Brian D. Davison
Natural Hazards (2020) Vol. 103, Iss. 3, pp. 2631-2689
Closed Access | Times Cited: 289
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
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
A review of Earth Artificial Intelligence
Ziheng Sun, L. Sandoval, Robert Crystal‐Ornelas, et al.
Computers & Geosciences (2022) Vol. 159, pp. 105034-105034
Open Access | Times Cited: 168
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
Hybrid Deep-Learning Network for Rapid On-Site Peak Ground Velocity Prediction
Jingbao Zhu, Shanyou Li, Jindong Song
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-12
Closed Access | Times Cited: 120
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
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: 110
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: 59
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
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
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
Automated Seismic Source Characterization Using Deep Graph Neural Networks
Martijn van den Ende, Jean‐Paul Ampuero
Geophysical Research Letters (2020) Vol. 47, Iss. 17
Open Access | Times Cited: 111
Deep learning reservoir porosity prediction based on multilayer long short-term memory network
Wei Chen, Liuqing Yang, Bei Zha, et al.
Geophysics (2020) Vol. 85, Iss. 4, pp. WA213-WA225
Closed Access | Times Cited: 107
Rapid prediction of earthquake ground shaking intensity using raw waveform data and a convolutional neural network
Dario Jozinović, Anthony Lomax, Ivan Štajduhar, et al.
Geophysical Journal International (2020) Vol. 222, Iss. 2, pp. 1379-1389
Open Access | Times Cited: 97
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
Laboratory earthquake forecasting: A machine learning competition
Paul A. Johnson, Bertrand Rouet‐Leduc, L. J. Pyrak‐Nolte, et al.
Proceedings of the National Academy of Sciences (2021) Vol. 118, Iss. 5
Open Access | Times Cited: 92
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