Naizhuo Zhao

Improved population mapping for China using remotely sensed and points-of-interest data within a random forests model

Tingting Ye, Naizhuo Zhao, Zutao Ouyang et al. · The Science of The Total Environment · 2018 · 261 citations

Cartography, Geospatial Mapping, Random Forests Model +13

Contribution of urbanization to the increase of extreme heat events in an urban agglomeration in east China

L. Ruby Leung, Naizhuo Zhao, Chun Zhao et al. · Geophysical Research Letters · 2017 · 237 citations · Full text

Engineering, Urban Agglomeration, Extreme Weather +17

Forecasting China’s GDP at the pixel level using nighttime lights time series and population images

Naizhuo Zhao, Ying Liu, Guofeng Cao et al. · GIScience & Remote Sensing · 2017 · 205 citations · Full text

Improve ground-level PM2.5 concentration mapping using a random forests-based geostatistical approach

Ying Liu, Guofeng Cao, Naizhuo Zhao et al. · Environmental Pollution · 2018 · 129 citations

Earth Observation, Biogeochemistry, Pollution Detection +7

Machine learning and dengue forecasting: Comparing random forests and artificial neural networks for predicting dengue burden at national and sub-national scales in Colombia

Naizhuo Zhao, Katia Charland, Mabel Carabalí et al. · PLoS neglected tropical diseases · 2020 · 106 citations · Full text

Forecasting Methodology, Engineering, Machine Learning +26