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Bing Zhang

Researcher at Nanjing University

Publications -  375
Citations -  15282

Bing Zhang is an academic researcher from Nanjing University. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 58, co-authored 320 publications receiving 11185 citations. Previous affiliations of Bing Zhang include Zhejiang University & University of Wisconsin-Madison.

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Worse than imagined: Unidentified virtual water flows in China.

TL;DR: The results find that the interprovincial virtual flows accounts for 23.4% of China's water footprint, and the use of the indicators related with water quantity to represent virtual water flows in previous studies will underestimate their impact on water resources.
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The nexus between urbanization and PM2.5 related mortality in China.

TL;DR: China has experienced the peak of U-EDE and entered the second half of the inverted U-shaped curve and in the near future, national average U- EDE in China will decline along with the improvement of income level if no dramatic changes happen, which implies that marginal PM2.5-related mortality brought by urbanization would decrease in China.
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Expressways, GDP, and the environment: The case of China

TL;DR: In a matched difference-in-differences setting, this article showed that China's expressway system helps poor rural counties grow faster in GDP while slowing down growth in the rich rural counties, compared with the unconnected rural counties.
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Determination of evaporation, transpiration and deep percolation of summer corn and winter wheat after irrigation

TL;DR: Wang et al. as discussed by the authors used oxygen-18 to determine the three fluxes in the summer corn and winter wheat field under existing irrigation pattern in Shanxi Province, China, and supported by hydrological observations.
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Microstructural disruption of the right inferior fronto-occipital and inferior longitudinal fasciculus contributes to WMH-related cognitive impairment.

TL;DR: This study aimed to investigate the mechanism and effective indicators to predict WMH‐related cognitive impairment and to determine the most common neuroimaging manifestation of cerebral small vessel disease.