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Miao Zhang
Miao Zhang
Assistant Professor, Dalhousie University
Verified email at dal.ca - Homepage
Title
Cited by
Cited by
Year
An effective method for small event detection: match and locate (M&L)
M Zhang, L Wen
Geophysical Journal International 200 (3), 1523-1537, 2015
1852015
Rapid Earthquake Association and Location
M Zhang, WL Ellsworth, GC Beroza
Seismological Research Letters, 2019
1572019
High-precision location and yield of North Korea's 2013 nuclear test
M Zhang, L Wen
Geophysical Research Letters 40 (12), 2941-2946, 2013
1282013
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
1212020
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
892021
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
782015
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
752017
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
702021
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
682020
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
652022
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
592021
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
372020
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
372020
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
362021
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
342018
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
272020
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
272015
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
262022
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
232020
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
212022
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Articles 1–20