Area of research
Astronomy and Astrophysics · Geophysics
Research interest
Research interests include TEC, Ionosphere, Geomagnetic storm, Computer science, Space weather, and Earth's magnetic field.
Interpretable Machine Learning for Thermospheric Mass Density Modeling Using GRACE/GRACE‐FO Satellite Data
Deep Learning-Based Vertical Decomposition of Ionospheric TEC into Layered Electron Density Profiles
A Space Weather Approach for Quasi‐Real‐Time Assessment of Satellite Orbital Decay During Geomagnetic Storms Based on Two‐Line Element Sets
Energetic Electron Diffusion and Precipitation Driven by Ducted Hiss Waves in High Density Irregular Region
Cold Plasma Heating by Lower Hybrid Waves Excited by Warm Proton Ring Distribution in the Inner Magnetosphere
Storm‐Time Characteristics of Ionospheric Model (MSAP) Based on Multi‐Algorithm Fusion
Image Super-resolution Methods for FY-3E X-EUVI 195 Å Solar Images
Ionospheric Electron Density Model by Electron Density Grid Deep Neural Network (EDG-DNN)
The Short‐Time Prediction of Thermospheric Mass Density Based on Ensemble‐Transfer Learning
The Study on the Global Evolution of Energetic Electron Precipitation During Geomagnetic Storm Based on Deep Learning Algorithm
The Global Variation of Low Ionosphere Under Action of Energetic Electron Precipitation
An Experimental Study of the Accuracy and Change Detection Potential of Blending Time Series Remote Sensing Images with Spatiotemporal Fusion
Prediction of Global Ionospheric TEC Based on Deep Learning
The Prediction of Storm‐Time Thermospheric Mass Density by LSTM‐Based Ensemble Learning
Global TEC Map Fusion Through a Hybrid Deep Learning Model: RFGAN
The Short‐Time Prediction of the Energetic Electron Flux in the Planetary Radiation Belt Based on Stacking Ensemble‐Learning Algorithm
Time-Series FY4A Datasets for Super-Resolution Benchmarking of Meteorological Satellite Images
Solar Flare Prediction Based on the Fusion of Multiple Deep-learning Models
Multiple CNN Variants and Ensemble Learning for Sunspot Group Classification by Magnetic Type
The Comparison of Predicting Storm-Time Ionospheric TEC by Three Methods: ARIMA, LSTM, and Seq2Seq
The Contribution of Geomagnetic Activity to Ionospheric foF2 Trends at Different Phases of the Solar Cycle by SWM
Improvement of a Deep Learning Algorithm for Total Electron Content Maps: Image Completion
Studies on the transmission of sub-THz waves in magnetized inhomogeneous plasma sheath
The 2D features of tropical cyclone Usagi’s effects on the ionospheric total electron content
Extraction of the geomagnetic activity effect from TEC data: A comparison between the spectral whitening method and 28 day running median
Study on the relationship between the residual 27 day quasiperiodicity and ionospheric Q disturbances