Bin Chen scite author profile

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Bin Chen

Total Synthesis of Pseudolaric Acid A

Estimation of Atmospheric PM₁₀ Concentration in China Using an Interpretable Deep Learning Model and Top‐of‐the‐Atmosphere Reflectance Data From China’s New Generation Geostationary Meteorological Satellite, FY‐4A

An interpretable deep forest model for estimating hourly PM10 concentration in China using Himawari-8 data

High temporal and spatial resolution PM2.5 dataset acquisition and pollution assessment based on FY-4A TOAR data and deep forest model in China

Combining Himawari-8 AOD and deep forest model to obtain city-level distribution of PM2.5 in China

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Bin Chen

Total Synthesis of Pseudolaric Acid A

Estimation of Atmospheric PM10 Concentration in China Using an Interpretable Deep Learning Model and Top‐of‐the‐Atmosphere Reflectance Data From China’s New Generation Geostationary Meteorological Satellite, FY‐4A

An interpretable deep forest model for estimating hourly PM10 concentration in China using Himawari-8 data

High temporal and spatial resolution PM2.5 dataset acquisition and pollution assessment based on FY-4A TOAR data and deep forest model in China

Combining Himawari-8 AOD and deep forest model to obtain city-level distribution of PM2.5 in China

Contact Info

Product

Resources

About

Estimation of Atmospheric PM₁₀ Concentration in China Using an Interpretable Deep Learning Model and Top‐of‐the‐Atmosphere Reflectance Data From China’s New Generation Geostationary Meteorological Satellite, FY‐4A