| Machine learning in seismology: Turning data into insights Q Kong, DT Trugman, ZE Ross, MJ Bianco, BJ Meade, P Gerstoft Seismological Research Letters 90 (1), 3-14, 2019 | 474 | 2019 |
| MyShake: A smartphone seismic network for earthquake early warning and beyond Q Kong, RM Allen, L Schreier, YW Kwon Science advances 2 (2), e1501055, 2016 | 335 | 2016 |
| Hybrid event detection and phase‐picking algorithm using convolutional and recurrent neural networks Y Zhou, H Yue, Q Kong, S Zhou Seismological Research Letters 90 (3), 1079-1087, 2019 | 159 | 2019 |
| Python programming and numerical methods: A guide for engineers and scientists Q Kong, T Siauw, A Bayen Academic Press, 2020 | 121 | 2020 |
| Structural health monitoring of buildings using smartphone sensors Q Kong, RM Allen, MD Kohler, TH Heaton, J Bunn Seismological Research Letters 89 (2A), 594-602, 2018 | 83 | 2018 |
| The MyShake platform: a global vision for earthquake early warning RM Allen, Q Kong, R Martin-Short Pure and Applied Geophysics 177, 1699-1712, 2020 | 71 | 2020 |
| MyShake: Initial observations from a global smartphone seismic network Q Kong, RM Allen, L Schreier Geophysical Research Letters 43 (18), 9588-9594, 2016 | 69 | 2016 |
| Ambient noise‐based monitoring of seismic velocity changes associated with the 2014 Mw 6.0 South Napa earthquake T Taira, F Brenguier, Q Kong Geophysical Research Letters 42 (17), 6997-7004, 2015 | 51 | 2015 |
| Smartphone-based networks for earthquake detection Q Kong, YW Kwon, L Schreierz, S Allen, R Allen, J Strauss 2015 15th international conference on innovations for community services …, 2015 | 49 | 2015 |
| Combining deep learning with physics based features in explosion‐earthquake discrimination Q Kong, R Wang, WR Walter, M Pyle, K Koper, B Schmandt Geophysical Research Letters 49 (13), e2022GL098645, 2022 | 40 | 2022 |
| Machine Learning Aspects of the MyShake Global Smartphone Seismic Network Q Kong, A Inbal, RM Allen, Q Lv, A Puder Seismological Research Letters, 2018 | 36 | 2018 |
| Cross-platform analysis of public responses to the 2019 Ridgecrest earthquake sequence on Twitter and Reddit T Ruan, Q Kong, SK McBride, A Sethjiwala, Q Lv Scientific reports 12 (1), 1634, 2022 | 33 | 2022 |
| MyShake: Using human-centered design methods to promote engagement in a smartphone-based global seismic network K Rochford, JA Strauss, Q Kong, RM Allen Frontiers in Earth Science 6, 422458, 2018 | 27 | 2018 |
| Earthquake early warning and beyond: Systems challenges in smartphone-based seismic network Q Kong, Q Lv, RM Allen Proceedings of the 20th international workshop on mobile computing systems …, 2019 | 26 | 2019 |
| On the feasibility of using the dense MyShake smartphone array for earthquake location A Inbal, Q Kong, W Savran, RM Allen Seismological Research Letters 90 (3), 1209-1218, 2019 | 20 | 2019 |
| Assessing the sensitivity and accuracy of the MyShake smartphone seismic network to detect and characterize earthquakes Q Kong, S Patel, A Inbal, RM Allen Seismological Research Letters 90 (5), 1937-1949, 2019 | 19 | 2019 |
| Deep convolutional autoencoders as generic feature extractors in seismological applications Q Kong, A Chiang, AC Aguiar, MG Fernández-Godino, SC Myers, ... Artificial intelligence in geosciences 2, 96-106, 2021 | 16 | 2021 |
| Toward global earthquake early warning with the myshake smartphone seismic network, part 1: Simulation platform and detection algorithm Q Kong, R Martin‐Short, RM Allen Seismological Research Letters 91 (4), 2206-2217, 2020 | 16 | 2020 |
| Evaluation of earthquake signal characteristics for early warning Q Kong, M Zhao Earthquake Engineering and Engineering Vibration 11, 435-443, 2012 | 16 | 2012 |
| Toward global earthquake early warning with the MyShake smartphone seismic network, Part 2: Understanding MyShake performance around the world Q Kong, R Martin‐Short, RM Allen Seismological Research Letters 91 (4), 2218-2233, 2020 | 14 | 2020 |
Richard M AllenUniversity of California BerkeleyVerified email at berkeley.edu
