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:

Machine learning and earthquake forecasting—next steps
Gregory C. Beroza, Margarita Segou, S. Mostafa Mousavi
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 116

Showing 1-25 of 116 citing articles:

Deep-learning seismology
S. Mostafa Mousavi, Gregory C. Beroza
Science (2022) Vol. 377, Iss. 6607
Closed Access | Times Cited: 275
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: 111
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
Earthquake Phase Association Using a Bayesian Gaussian Mixture Model
Weiqiang Zhu, Ian W. McBrearty, S. Mostafa Mousavi, et al.
Journal of Geophysical Research Solid Earth (2022) Vol. 127, Iss. 5
Open Access | Times Cited: 95
The physical mechanisms of induced earthquakes
Mohammad Javad Afshari Moein, Cornelius Langenbruch, Ryan Schultz, et al.
Nature Reviews Earth & Environment (2023) Vol. 4, Iss. 12, pp. 847-863
Closed Access | Times Cited: 50
Cascade and pre-slip models oversimplify the complexity of earthquake preparation in nature
Patricia Martínez‐Garzón, Piero Poli
Communications Earth & Environment (2024) Vol. 5, Iss. 1
Open Access | Times Cited: 18
Comparative seismic analysis of symmetrical and asymmetrical G + 7 structures using STAAD.Pro: insights into performance and material efficiency
Esar Ahmad, Lizina Khatua, Krushna Chandra Sethi, et al.
Asian Journal of Civil Engineering (2025)
Closed Access | Times Cited: 6
Deep learning for laboratory earthquake prediction and autoregressive forecasting of fault zone stress
Laura Laurenti, Elisa Tinti, Fabio Galasso, et al.
Earth and Planetary Science Letters (2022) Vol. 598, pp. 117825-117825
Open Access | Times Cited: 55
An End‐To‐End Earthquake Detection Method for Joint Phase Picking and Association Using Deep Learning
Weiqiang Zhu, Kai Sheng Tai, S. Mostafa Mousavi, et al.
Journal of Geophysical Research Solid Earth (2022) Vol. 127, Iss. 3
Open Access | Times Cited: 51
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
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: 12
Revealing the spatiotemporal complexity of the magnitude distribution and b-value during an earthquake sequence
Marcus Herrmann, Ester Piegari, Warner Marzocchi
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 31
Extracting acoustic emission features that precede hard rock instability with unsupervised learning
Guoshao Su, Jinghua Huang, Huajie Xu, et al.
Engineering Geology (2022) Vol. 306, pp. 106761-106761
Closed Access | Times Cited: 28
Using Deep Learning for Flexible and Scalable Earthquake Forecasting
Kélian Dascher-Cousineau, Oleksandr Shchur, E. E. Brodsky, et al.
Geophysical Research Letters (2023) Vol. 50, Iss. 17
Open Access | Times Cited: 20
Unsupervised clustering of catalogue-driven features for characterizing temporal evolution of labquake stress
Sadegh Karimpouli, Grzegorz Kwiatek, Patricia Martínez‐Garzón, et al.
Geophysical Journal International (2024) Vol. 237, Iss. 2, pp. 755-771
Open Access | Times Cited: 7
Experimental investigation on acoustic emission precursor of rockburst based on unsupervised machine learning method
Jie Sun, Dongqiao Liu, Pengfei He, et al.
Rock Mechanics Bulletin (2024) Vol. 3, Iss. 2, pp. 100099-100099
Open Access | Times Cited: 6
On the Use of High‐Resolution and Deep‐Learning Seismic Catalogs for Short‐Term Earthquake Forecasts: Potential Benefits and Current Limitations
Simone Mancini, Margarita Segou, Maximilian J. Werner, et al.
Journal of Geophysical Research Solid Earth (2022) Vol. 127, Iss. 11
Open Access | Times Cited: 22
Earthquake spatial probability and hazard estimation using various explainable AI (XAI) models at the Arabian peninsula
Ratiranjan Jena, Abdallah Shanableh, Rami Al‐Ruzouq, et al.
Remote Sensing Applications Society and Environment (2023) Vol. 31, pp. 101004-101004
Open Access | Times Cited: 15
Earthquake Forecasting Using Big Data and Artificial Intelligence: A 30-Week Real-Time Case Study in China
Omar M. Saad, Yunfeng Chen, Alexandros Savvaidis, et al.
Bulletin of the Seismological Society of America (2023) Vol. 113, Iss. 6, pp. 2461-2478
Closed Access | Times Cited: 13
Deep learning forecasting of large induced earthquakes via precursory signals
Vincenzo Convertito, Fabio Giampaolo, Ortensia Amoroso, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Are Foreshocks Fore‐Shocks?
Davide Zaccagnino, Filippos Vallianatos, Georgios Michas, et al.
Journal of Geophysical Research Solid Earth (2024) Vol. 129, Iss. 2
Open Access | Times Cited: 5
Foundations for an Operational Earthquake Prediction System
Angelo De Santis, Gianfranco Cianchini, Loredana Perrone, et al.
Geosciences (2025) Vol. 15, Iss. 2, pp. 69-69
Open Access
Scalable intermediate-term earthquake forecasting with multimodal fusion neural networks
Yumeng Hu, Qi Zhang, Hengshu Zhu, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Cross‐Domain Foundation Model Adaptation: Pioneering Computer Vision Models for Geophysical Data Analysis
Zhixiang Guo, Xinming Wu, Luming Liang, et al.
Journal of Geophysical Research Machine Learning and Computation (2025) Vol. 2, Iss. 1
Open Access
Integration of extreme value statistics and Bayesian estimation for early forecasting of aftershock shaking: application to main shock–aftershock sequences in inland Japan
Kaoru Sawazaki
Geophysical Journal International (2025) Vol. 241, Iss. 3, pp. 1518-1534
Open Access
Page 1 - Next Page

Scroll to top