Zhou Zang
General Electric (Finland)(FI)
Publications by Year
Research Areas
Atmospheric chemistry and aerosols, Atmospheric aerosols and clouds, Atmospheric Ozone and Climate, Atmospheric and Environmental Gas Dynamics, Air Quality Monitoring and Forecasting
Most-Cited Works
- → Fugitive Road Dust PM2.5 Emissions and Their Potential Health Impacts(2019)138 cited
- → New interpretable deep learning model to monitor real-time PM2.5 concentrations from satellite data(2020)122 cited
- → A Spatial-Temporal Interpretable Deep Learning Model for improving interpretability and predictive accuracy of satellite-based PM2.5(2021)101 cited
- → Quantifying contributions of natural and anthropogenic dust emission from different climatic regions(2018)101 cited
- → A Deep Learning Approach to Improve the Retrieval of Temperature and Humidity Profiles From a Ground-Based Microwave Radiometer(2020)67 cited
- → Synergistic dielectric regulation strategy of one-dimensional MoO2/Mo2C/C heterogeneous nanowires for electromagnetic wave absorption(2024)64 cited
- → Estimations of indirect and direct anthropogenic dust emission at the global scale(2018)52 cited
- → Superior PM2.5 Estimation by Integrating Aerosol Fine Mode Data from the Himawari-8 Satellite in Deep and Classical Machine Learning Models(2021)48 cited
- → Dust modeling over East Asia during the summer of 2010 using the WRF-Chem model(2018)42 cited
- → Understanding global changes in fine-mode aerosols during 2008–2017 using statistical methods and deep learning approach(2021)41 cited