Bin Chen

发表

Linear Hybrid Machine Learning Model

Yue Huang, Zhihao Song, Bin Chen, 2021 .

Analysis on the Characteristics of Air Pollution in China during the COVID-19 Outbreak

Yue Huang, Tingting Yang, Bin Chen, 2021, Atmosphere.

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

Xingying Zhang, Xiuqing Hu, X. Guan, 2022, Atmospheric Research.

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

Mengjun Li, Bin Chen, Z. Song, 2022, Atmospheric Environment.

A machine learning model for predicting PM2.5 and nitrate concentrations based on long-term water-soluble inorganic salts datasets at a road site station.

Ho-Wen Chen, G. Lin, Bin Chen, 2021, Chemosphere.

Characterization of temporal PM2.5, nitrate, and sulfate using deep learning techniques

Ho-Wen Chen, Guan-Yu Lin, Bin Chen, 2021, Atmospheric Pollution Research.

Obtaining vertical distribution of PM2.5 from CALIOP data and machine learning algorithms.

Yue Huang, Bin Chen, Feng Pan, 2021, The Science of the total environment.

Estimation of PM2.5 Concentration in China Using Linear Hybrid Machine Learning Model

Yue Huang, Tingting Yang, Bin Chen, 2021, Atmospheric Measurement Techniques.

Exploring high-resolution near-surface CO concentrations based on Himawari-8 top-of-atmosphere radiation data: Assessing the distribution of city-level CO hotspots in China

Lin Zhao, Xin Zhou, Ruming Chen, 2023, Atmospheric Environment.

Hyperspectral sensing of heavy metals in soil by integrating AI and UAV technology

Kieu Lan Phuong Nguyen, Ho Wen Chen, C. Chen, 2022, Environmental Monitoring and Assessment.

The Spatiotemporal Distribution of NO2 in China Based on Refined 2DCNN-LSTM Model Retrieval and Factor Interpretability Analysis

Lin Zhao, Xin Zhou, Ruming Chen, 2023, Remote. Sens..