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Zefeng Li 李泽峰
Zefeng Li 李泽峰
Verified email at ustc.edu.cn - Homepage
Title
Cited by
Cited by
Year
Machine learning seismic wave discrimination: Application to earthquake early warning
Z Li, MA Meier, E Hauksson, Z Zhan, J Andrews
Geophysical Research Letters 45 (10), 4773-4779, 2018
2712018
Deep learning for seismic phase detection and picking in the aftershock zone of 2008 Mw7. 9 Wenchuan Earthquake
L Zhu, Z Peng, J McClellan, C Li, D Yao, Z Li, L Fang
Physics of the Earth and Planetary Interiors 293, 106261, 2019
1302019
High-resolution seismic event detection using local similarity for Large-N arrays
Z Li, Z Peng, D Hollis, L Zhu, J McClellan
Scientific reports 8 (1), 1646, 2018
1212018
Reliable Real‐Time Seismic Signal/Noise Discrimination With Machine Learning
MA Meier, ZE Ross, A Ramachandran, A Balakrishna, S Nair, P Kundzicz, ...
Journal of Geophysical Research: Solid Earth 124 (1), 788-800, 2019
1112019
Pushing the limit of earthquake detection with distributed acoustic sensing and template matching: a case study at the Brady geothermal field
Z Li, Z Zhan
Geophysical Journal International 215 (3), 1583-1593, 2018
952018
Low‐velocity zones along the San Jacinto Fault, Southern California, from body waves recorded in dense linear arrays
H Yang, Z Li, Z Peng, Y Ben‐Zion, F Vernon
Journal of Geophysical Research: Solid Earth 119 (12), 8976-8990, 2014
642014
Stress‐and Structure‐Induced Anisotropy in Southern California From Two Decades of Shear Wave Splitting Measurements
Z Li, Z Peng
Geophysical Research Letters 44 (19), 9607-9614, 2017
592017
Rapid response to the 2019 Ridgecrest earthquake with distributed acoustic sensing
Z Li, Z Shen, Y Yang, E Williams, X Wang, Z Zhan
AGU Advances 2 (2), e2021AV000395, 2021
472021
Preface to the Focus Section on Machine Learning in Seismology
KJ Bergen, T Chen, Z Li
Seismological Research Letters 90 (2A), 477-480, 2019
452019
Velocity contrast along the rupture zone of the 2010 Mw6. 9 Yushu, China, earthquake from fault zone head waves
W Yang, Z Peng, B Wang, Z Li, S Yuan
Earth and Planetary Science Letters 416, 91-97, 2015
312015
An automatic phase picker for local earthquakes with predetermined locations: Combining a signal‐to‐noise ratio detector with 1D velocity model inversion
Z Li, Z Peng
Seismological Research Letters 87 (6), 1397-1405, 2016
282016
Spatial variations of shear wave anisotropy near the San Jacinto Fault Zone in Southern California
Z Li, Z Peng, Y Ben‐Zion, FL Vernon
Journal of Geophysical Research: Solid Earth 120 (12), 8334-8347, 2015
282015
Structure-controlled seismic anisotropy along the Karadere–Düzce branch of the North Anatolian Fault revealed by shear-wave splitting tomography
Z Li, H Zhang, Z Peng
Earth and Planetary Science Letters 391, 319-326, 2014
282014
Source time function clustering reveals patterns in earthquake dynamics
J Yin, Z Li, MA Denolle
Seismological Society of America 92 (4), 2343-2353, 2021
182021
A unified wavefield-partitioning approach for distributed acoustic sensing
J Atterholt, Z Zhan, Z Shen, Z Li
Geophysical Journal International 228 (2), 1410-1418, 2022
172022
Long‐period long‐duration events detected by the IRIS Community Wavefield Demonstration Experiment in Oklahoma: Tremor or train signals?
C Li, Z Li, Z Peng, C Zhang, N Nakata, T Sickbert
Seismological Research Letters 89 (5), 1652-1659, 2018
152018
Automatic identification of fault zone head waves and direct P waves and its application in the Parkfield section of the San Andreas Fault, California
Z Li, Z Peng
Geophysical Journal International 205 (3), 1326-1341, 2016
152016
A generic model of global earthquake rupture characteristics revealed by machine learning
Z Li
Geophysical Research Letters 49 (8), e2021GL096464, 2022
122022
Recent advances in earthquake monitoring II: Emergence of next-generation intelligent systems
Z Li
Earthquake Science 34 (6), 531-540, 2021
112021
Recent advances in earthquake monitoring I: Ongoing revolution of seismic instrumentation
Z Li
Earthquake science 34 (2), 177-188, 2021
112021
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