1. Spatial and Temporal Data Analysis with Deep Learning for Air Quality Prediction;Alsaedi,2019
2. Improving Satellite-Based Estimation of Surface Ozone across China during 2008–2019 Using Iterative Random Forest Model and High-Resolution Grid Meteorological Data;Chen;Sustain. Cities Soc.,2021
3. Estimation of Pm2.5 Concentration Using Deep Bayesian Model Considering Spatial Multiscale;Chen;Remote Sens. (Basel),2021
4. Ground-Level Ozone Estimation Based on Geo-Intelligent Machine Learning by Fusing in-Situ Observations, Remote Sensing Data, and Model Simulation Data;Chen;Int. J. Appl. Earth Obs. Geoinf.,2022
5. Estimation of Near-Surface Ozone Concentration and Analysis of Main Weather Situation in China Based on Machine Learning Model and Himawari-8 Toar Data;Chen;Sci. Total Environ. J.,2022