W
Wei Wang
Researcher at Central South University
Publications - 880
Citations - 15984
Wei Wang is an academic researcher from Central South University. The author has contributed to research in topics: Medicine & Biology. The author has an hindex of 50, co-authored 794 publications receiving 10555 citations. Previous affiliations of Wei Wang include Hefei Institutes of Physical Science & University of Kansas.
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Measurement and Study of Lidar Ratio by Using a Raman Lidar in Central China.
TL;DR: The relationships between particle lidar ratios and wind indicate that large lidar ratio values correspond well with weak winds and strong northerly winds, whereas significantly low lidar Ratio values are associated with prevailing southwesterly and southerly wind.
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A novel Se-polysaccharide from Se-enriched G. frondosa protects against immunosuppression and low Se status in Se-deficient mice
Qian Li,Guang-Ying Chen,Wei Wang,Weijie Zhang,Yangyang Ding,Ting Zhao,Fang Li,Guanghua Mao,Weiwei Feng,Qiang Wang,Liuqing Yang,Xiangyang Wu +11 more
TL;DR: Findings indicated that Se-GFP-22 promote the protective effects against Se deficiency-induced immunosuppression and could be a potential immunomodulatory agent and a dietary Se-supplement.
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Evaluation of vehicle acceleration models for emission estimation at an intersection
TL;DR: In this paper, the authors evaluate the constant acceleration, linearly decreasing acceleration, and aaSIDRA models in terms of generating second-by-second speed profiles for emission estimations at an intersection.
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Nitric oxide alleviates Fe deficiency-induced stress in Solanum nigrum
TL;DR: The possible involvement of nitric oxide in response of Solanum nigrum seedlings to Fe deficiency was investigated in this article, where NO donor S-nitrosoglutathione (GSNO) was effective in preventing Fe deficiency-induced increase in content of H2O2 and ion uptake.
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Analysis of Crash Risks by Collision Type at Freeway Diverge Area Using Multivariate Modeling Technique
TL;DR: The MVPLN model is found outperform the NB models in predicting the crash count of each collision type and estimates the impacts of variables more accurately than the NB model.