Yong Zhang
Chinese Academy of Sciences
1265 Papers
1.6K Citations
Yong Zhang is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 69, co-authored 406 publications. Previous affiliations of Yong Zhang include University of Chicago & Beijing Institute of Genomics.
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Papers
Air Quality Impacts on the Giant Panda Habitat in the Qinling Mountains: Chemical Characteristics and Sources of Elements in PM2.5
Junhua Wu,Yi-ping Chen,Yan Zhao,Yong Zhang,Wangang Liu,Jin Bo Wang,Qiyuan Wang Wang,Xiangbo He +7 more
TL;DR: In this paper , the authors set up a PM2.5 sampling point near the Shaanxi Foping National Nature Reserve (SFNNR), which is the area with the highest population density of wild giant pandas in the Qinling Mountains.
Research on telemetry method of shallow sea front based on ray acoustics theory
Xiaorou Zhang,Qile Wang,Wei Wang,Yong Zhang,Huang Yan,Hanhao Zhu +5 more
- 10 Feb 2023
TL;DR: In this paper , a ray acoustic model is used to analyze the physical characteristics of the ocean front, aiming to explore the application prospect of ray acoustic in ocean front telemetry, and the simulation results show that under the influence of the Ocean Front, in the frontal sea area transitioning from a warm water area to a cold water area, the sound will deflect downward in advance, increase the contact times with the seafloor, and increase the grazing angle when contacting the seaf loor.
Game Analysis of Stakeholders in Urban Renewal Based on Maximization of Social Welfare
J. F. Li,Yousong Wang,N. Lu,Y. Du,Yong Zhang,F. F. Liu +5 more
- 01 Jan 2018
TL;DR: Wang et al. as discussed by the authors established renewal game model, constructed the utility function to analyze the equilibrium condition of the game, and then put forward four kinds of urban renewal model, they are, respectively, government direct implementation, residents self-raised, developers' participation and government and market coordination.
A Combing Data-Driven and Model-Driven Methods for Renewable Energy Acceptance Capacity Assessment in Distribution Networks
TL;DR: In this article , a combined data-driven and model-driven renewable energy capacity assessment method for distribution networks is proposed to accurately improve the balanced new energy distribution network capacity assessment, and the proposed method has higher computational accuracy and efficiency than the traditional method.