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20192025
most citedDeep Convolutional Autoencoders as Generic Feature Extractors in Seismological Applications

30 citations · 104 across the 8 of their papers we have counts for

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7 papers · 1 filter

physics.geo-ph2025

Evaluating Multi-station Phase Picking Algorithm Phase Neural Operator (PhaseNO) on Local Seismic Networks

Qingkai Kong, Avigyan Chatterjee, Chengping Chai +6

Reliable automatic phase picking is important for many seismic applications. With the development of machine learning approaches, many algorithms are proposed, evaluated and applie…

physics.geo-ph2024

A Comprehensive Analysis of Real-World Accelerometer Data Quality in a Global Smartphone-based Seismic Network

Yawen Zhang, Qingkai Kong, Tao Ruan +2

The proliferation of low-cost sensors in smartphones has facilitated numerous applications; however, large-scale deployments often encounter performance issues. Sensing heterogenei…

physics.geo-ph2022★ 1 cited

Crowdsourcing Felt Reports using the MyShake smartphone app

Qingkai Kong, Richard M. Allen, Steve Allen +5

MyShake is a free citizen science smartphone app that provides a range of features related to earthquakes. Features available globally include rapid post-earthquake notifications,…

physics.geo-ph2021★ 30 cited

Deep Convolutional Autoencoders as Generic Feature Extractors in Seismological Applications

Qingkai Kong, Andrea Chiang, Ana C. Aguiar +3

The idea of using a deep autoencoder to encode seismic waveform features and then use them in different seismological applications is appealing. In this paper, we designed tests to…

physics.geo-ph2019★ 14 cited

Towards Global Earthquake Early Warning with the MyShake Smartphone Seismic Network Part 2 -- Understanding MyShake performance around the world

Qingkai Kong, Robert Martin-Short, Richard M. Allen

The MyShake project aims to build a global smartphone seismic network to facilitate large-scale earthquake early warning and other applications by leveraging the power of crowdsour…

physics.geo-ph2019★ 16 cited

Towards Global Earthquake Early Warning with the MyShake Smartphone Seismic Network Part 1 -- Detection algorithm and simulation platform

Qingkai Kong, Robert Martin-Short, Richard M. Allen

The MyShake project aims to build a global smartphone seismic network to facilitate large-scale earthquake early warning and other applications by leveraging the power of crowdsour…

physics.geo-ph2019★ 17 cited

MyShake: Detecting and characterizing earthquakes with a global smartphone seismic network

Qingkai Kong, Sarina Patel, Asaf Inbal +1

MyShake harnesses private/personal smartphones to build a global seismic network. It uses the accelerometers embedded in all smartphones to record ground motions induced by earthqu…