An effective method for small event detection: match and locate (M&L) M Zhang, L Wen Geophysical Journal International 200 (3), 1523-1537, 2015 | 189 | 2015 |
Rapid Earthquake Association and Location M Zhang, WL Ellsworth, GC Beroza Seismological Research Letters, 2019 | 171 | 2019 |
High-precision location and yield of North Korea's 2013 nuclear test M Zhang, L Wen Geophysical Research Letters 40 (12), 2941-2946, 2013 | 128 | 2013 |
Rapid Characterization of the July 2019 Ridgecrest, California Earthquake Sequence from Raw Seismic Data using Machine Learning Phase Picker M Liu, M Zhang, W Zhu, WL Ellsworth, H Li Geophysical Research Letters, 2020 | 126 | 2020 |
Machine‐learning‐based high‐resolution earthquake catalog reveals how complex fault structures were activated during the 2016–2017 central Italy sequence YJ Tan, F Waldhauser, WL Ellsworth, M Zhang, W Zhu, M Michele, ... The Seismic Record 1 (1), 11-19, 2021 | 97 | 2021 |
Seismological Evidence for a Low‐Yield Nuclear Test on 12 May 2010 in North Korea M Zhang, L Wen Seismological Research Letters 86 (1), 138-145, 2015 | 79 | 2015 |
Source Characteristics and Geological Implications of the January 2016 Induced Earthquake Swarm near Crooked Lake, Alberta R Wang, YJ Gu, R Schultz, M Zhang, A Kim Geophysical Journal International, 2017 | 78 | 2017 |
LOC‐FLOW: An End‐to‐End Machine Learning‐Based High‐Precision Earthquake Location Workflow M Zhang, M Liu, T Feng, R Wang, W Zhu Seismological Research Letters, 2022 | 72 | 2022 |
Real-time Earthquake Early Warning with Deep Learning: Application to the 2016 M 6.0 Central Apennines, Italy Earthquake X Zhang, M Zhang, X Tian Geophysical Research Letters, 2021 | 71 | 2021 |
High resolution earthquake catalog building for the 21 May 2021 Yangbi, Yunnan, MS6.4 earthquake sequence using deep-learning phase picker J Su, M Liu, Y Zhang, W Wang, H Li, J Yang, X Li, M Zhang Chinese Journal of Geophysics, 2021 | 70 | 2021 |
Injection-induced earthquakes on complex fault zones of the Raton Basin illuminated by machine-learning phase picker and dense nodal array R Wang, B Schmandt, M Zhang, M Glasgow, E Kiser, S Rysanek, R Stairs Geophysical Research Letters, 2020 | 70 | 2020 |
Graphics Processing Unit‐Based Match and Locate (GPU‐M&L): An Improved Match and Locate Method and Its Application M Liu, H Li, M Zhang, T Wang Seismological Research Letters, 2020 | 39 | 2020 |
Support vector machine classification of seismic events in the Tianshan orogenic belt L Tang, M Zhang, L Wen Journal of Geophysical Research: Solid Earth 125 (1), e2019JB018132, 2020 | 39 | 2020 |
Machine learning based automatic foreshock catalog building for the 2019 MS6.0 Changning, Sichuan earthquake M ZHAO, L TANG, S CHEN, JR SU, M ZHANG Chinese Journal of Geophysics 64 (1), 54-66, 2021 | 37 | 2021 |
Seismicity induced by simultaneous abrupt changes of injection rate and well pressure in Hutubi gas field L Tang, Z Lu, M Zhang, L Sun, L Wen Journal of Geophysical Research: Solid Earth 123 (7), 5929-5944, 2018 | 36 | 2018 |
Insight into major active faults in Central Myanmar and the related geodynamic sources CT Mon, X Gong, Y Wen, M Jiang, QF Chen, M Zhang, G Hou, M Thant, ... Geophysical Research Letters, 2020 | 28 | 2020 |
Earthquake characteristics before eruptions of Japan's Ontake volcano in 2007 and 2014 M Zhang, L Wen Geophysical Research Letters 42 (17), 6982–6988, 2015 | 27 | 2015 |
Multistage Nucleation of the 2021 Yangbi MS 6.4 Earthquake, Yunnan, China and Its Foreshocks M Liu, H Li, L Li, M Zhang, W Wang Journal of Geophysical Research: Solid Earth, e2022JB024091, 2022 | 26 | 2022 |
Sequential Fault Reactivation and Secondary Triggering in the March 2019 Red Deer Induced Earthquake Swarm J Wang, T Li, YJ Gu, R Schultz, J Yusifbayov, M Zhang Geophysical Research Letters, e2020GL090219, 2020 | 25 | 2020 |
Spatio‐Temporal Graph Convolutional Networks for Earthquake Source Characterization X Zhang, W Reichard‐Flynn, M Zhang, M Hirn, Y Lin Journal of Geophysical Research: Solid Earth, e2022JB024401, 2022 | 24 | 2022 |