Qingkai Kong
Northern Illinois University
H-index: 31
North America-United States
Top articles of Qingkai Kong
Evaluating Physics Informed Neural Network Performance for Seismic Discrimination Between Earthquakes and Explosions
arXiv preprint arXiv:2403.04952
2024/3/7
Qingkai Kong
H-Index: 19
Brandon Schmandt
H-Index: 29
Multi-fidelity Fourier neural operator for fast modeling of large-scale geological carbon storage
Journal of Hydrology
2024/2/1
Qingkai Kong
H-Index: 19
Crowdsourcing felt reports using the MyShake smartphone app
Seismological Research Letters
2023/9/1
Advanced Methods for Flexible, Fast, and High-Fidelity Fluid Flow Predictions
2023/8/28
Oscillation criteria for advanced half-linear differential equations of second order
Mathematics
2023/3/13
Qingkai Kong
H-Index: 19
Predicting wind-driven spatial deposition through simulated color images using deep autoencoders
Scientific Reports
2023/1/25
Qingkai Kong
H-Index: 19
Physics-Informed Neural Network with P/S ratios in Explosion-Earthquake Discrimination
AGU Fall Meeting Abstracts
2022/12
Qingkai Kong
H-Index: 19
Applications of smartphone seismic data for rapid structural health assessment
Authorea Preprints
2022/11/25
Qingkai Kong
H-Index: 19
Richard Allen
H-Index: 62
New Hille Type and Ohriska Type Criteria for Nonlinear Third-Order Dynamic Equations
Mathematics
2022/11/6
Qingkai Kong
H-Index: 19
Combining deep learning with physics based features in explosion‐earthquake discrimination
Geophysical Research Letters
2022
Qingkai Kong
H-Index: 19
Brandon Schmandt
H-Index: 29
Detecting damaged buildings using real-time crowdsourced images and transfer learning
Scientific reports
2022/5/27
Qingkai Kong
H-Index: 19
Srujay Korlakunta
H-Index: 0
Jennifer Grannen
H-Index: 3
Richard M Allen
H-Index: 37
Preliminary Transfer Learning Results on Israel Data
2022/3/31
Qingkai Kong
H-Index: 19
Learning Physics Through Images: An Application To Wind-Driven Spatial Patterns
2022/3/17
Qingkai Kong
H-Index: 19
Understanding the Seismic Ground Motion Spatial Variability Using Network Analysis Community Detection
2022/3/14
Qingkai Kong
H-Index: 19
Cross-platform analysis of public responses to the 2019 Ridgecrest earthquake sequence on Twitter and Reddit
Scientific reports
2022/1/31
Lyapunov-type inequalities for third-order linear and half-linear difference equations and extensions
Journal of Difference Equations and Applications
2021/1/2
Sougata Dhar
H-Index: 6
Qingkai Kong
H-Index: 19
Deep Learning Based Approach to Integrate MyShake's Trigger Data with ShakeAlert for Faster and Robust EEW Alerts
2021/12/14
Qingkai Kong
H-Index: 19
MyShake+ ShakeAlert: Incorporating Smartphone Seismic Data for Improved Earthquake Early Warning Performance
AGU Fall Meeting Abstracts
2021/12
Qingkai Kong
H-Index: 19
Richard Allen
H-Index: 62
Predicting Wind-Driven Spatial Patterns via Deep Convolutional Autoencoders
AGU Fall Meeting Abstracts
2021/12
Qingkai Kong
H-Index: 19
Gemma Anderson
H-Index: 17
Combining deep learning with physics extracted features in Explosion event discrimination
AGU Fall Meeting Abstracts
2021/12
Qingkai Kong
H-Index: 19
Brandon Schmandt
H-Index: 29