Spatiotemporal prediction of daily ambient ozone levels across China using random forest for human exposure assessment
2017 · Environmental Pollution · 304 citations
https://doi.org/10.1016/j.envpol.2017.10.029
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Xunfei Deng
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Xunfei Deng is an academic researcher from ZheJiang Academy of Agricultural Sciences. The author has contributed to research in topics: Air Quality and Health Impacts & Air Quality Monitoring and Forecasting & Soil Carbon and Nitrogen Dynamics. The author has an h-index of 18, co-authored 38 publications.
ORCID: 0000-0001-7306-6199Papers by this author
worksSatellite-Based Estimates of Daily NO<sub>2</sub> Exposure in China Using Hybrid Random Forest and Spatiotemporal Kriging Model
2018 · Environmental Science & Technology · 245 citations
https://doi.org/10.1021/acs.est.7b05669
A robust approach to deriving long-term daily surface NO2 levels across China: Correction to substantial estimation bias in back-extrapolation
2021 · Environment International · 46 citations
https://doi.org/10.1016/j.envint.2021.106576
Evaluation of NOx emissions before, during, and after the COVID-19 lockdowns in China: A comparison of meteorological normalization methods
2022 · Atmospheric Environment · 22 citations
https://doi.org/10.1016/j.atmosenv.2022.119083
Spatiotemporal variations in meteorological influences on ambient ozone in China: A machine learning approach
2023 · Atmospheric Pollution Research · 17 citations
https://doi.org/10.1016/j.apr.2023.101720
Ginkgo biloba Sex Identification Methods Using Hyperspectral Imaging and Machine Learning
2024 · Plants · 4 citations
https://doi.org/10.3390/plants13111501
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