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 | 281 | 2018 |
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 | 136 | 2019 |
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 | 121 | 2018 |
Reliable RealTime 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 | 115 | 2019 |
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 | 98 | 2018 |
Lowvelocity zones along the San Jacinto Fault, Southern California, from body waves recorded in dense linear arrays H Yang, Z Li, Z Peng, Y BenZion, F Vernon Journal of Geophysical Research: Solid Earth 119 (12), 8976-8990, 2014 | 65 | 2014 |
Stressand StructureInduced Anisotropy in Southern California From Two Decades of Shear Wave Splitting Measurements Z Li, Z Peng Geophysical Research Letters 44 (19), 9607-9614, 2017 | 61 | 2017 |
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 | 50 | 2021 |
Preface to the Focus Section on Machine Learning in Seismology KJ Bergen, T Chen, Z Li Seismological Research Letters 90 (2A), 477-480, 2019 | 49 | 2019 |
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 | 31 | 2015 |
An automatic phase picker for local earthquakes with predetermined locations: Combining a signaltonoise ratio detector with 1D velocity model inversion Z Li, Z Peng Seismological Research Letters 87 (6), 1397-1405, 2016 | 30 | 2016 |
Spatial variations of shear wave anisotropy near the San Jacinto Fault Zone in Southern California Z Li, Z Peng, Y BenZion, FL Vernon Journal of Geophysical Research: Solid Earth 120 (12), 8334-8347, 2015 | 28 | 2015 |
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 | 28 | 2014 |
Source time function clustering reveals patterns in earthquake dynamics J Yin, Z Li, MA Denolle Seismological Society of America 92 (4), 2343-2353, 2021 | 19 | 2021 |
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 | 18 | 2022 |
Longperiod longduration 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 | 16 | 2018 |
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 | 15 | 2016 |
Recent advances in earthquake monitoring I: Ongoing revolution of seismic instrumentation Z Li Earthquake science 34 (2), 177-188, 2021 | 13 | 2021 |
A generic model of global earthquake rupture characteristics revealed by machine learning Z Li Geophysical Research Letters 49 (8), e2021GL096464, 2022 | 12 | 2022 |
USTC-Pickers: a Unified Set of seismic phase pickers Transfer learned for China J Zhu, Z Li, L Fang Earthquake Science 36 (2), 95-112, 2022 | 11 | 2022 |