October 11, 2018 article Open access PhaseNet: A Deep-Neural-Network-Based Seismic Arrival Time Picking Method Geophysical Journal International DOI: 10.1093/gji/ggy423 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 4 stored of 1,142 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Insights into Extensional Tectonics from a Large Deep Learning Focal Mechanism Catalog 2025 Bulletin of the Seismological Society of America article Earth and Planetary Sciences earthquake and tectonic studies Open access 2 citations Readapting PhaseNet to Laboratory Earthquakes: AEsNet, a Robust Acoustic Emission Picker Illuminating Seismic Signatures of Different Fault Gouge Materials 2025 Seismological Research Letters article Computer Science Seismology and Earthquake Studies Open access 1 citations Unraveling the spatiotemporal fault activation in a complex fault system: the run-up to the 2023 MW 7.8 Kahramanmaraş earthquake, Türkiye 2025 Earth and Planetary Science Letters article Earth and Planetary Sciences earthquake and tectonic studies Open access 8 citations Laboratory earthquake forecasting: A machine learning competition 2021 Proceedings of the National Academy of Sciences article Computer Science Seismology and Earthquake Studies Open access cited by 1 patent 123 citations 4 results References 0