Z
Zhen Li
Researcher at Wuhan University
Publications - 3347
Citations - 95191
Zhen Li is an academic researcher from Wuhan University. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 127, co-authored 1712 publications receiving 71351 citations. Previous affiliations of Zhen Li include Tsinghua University & Hong Kong University of Science and Technology.
Papers
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Preparation of emissive glucose-containing polymer nanoparticles and their cell imaging applications
Ke Wang,Xiaoyong Zhang,Xiaoyong Zhang,Xiqi Zhang,Xiqi Zhang,Chunping Ma,Zhen Li,Zengfang Huang,Qingsong Zhang,Yen Wei +9 more
TL;DR: In this article, an amphiphilic glucose-containing fluorescent polymer based on aggregation induced emission (AIE) dyes, which could self-assemble into nanoparticles in aqueous media, has been facilely prepared.
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Noble-metal-free NiSnxOy decorated graphene cocatalyst for highly efficient reduction of water to hydrogen
Chao Kong,Zhen Li,Gongxuan Lu +2 more
TL;DR: In this article, the photocatalytic activity of NiSnxOy/G sensitized by Eosin Y (EY) for hydrogen evolution were evaluated under visible light irradiation (λ>-420nm) using triethanolamine (TEOA) as sacrificial donor.
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Room‐Temperature Sodium–Sulfur Batteries: Rules for Catalyst Selection and Electrode Design
Zhen Li,Changlai Wang,Fangxin Ling,Lifeng Wang,Ruilin Bai,Yuxuan Shao,Qianwang Chen,Hua Yuan,Yan Yu,Yeqiang Tan +9 more
TL;DR: In this paper , theoretical calculations of interfacial interactions of catalysts and polysulfides in terms of the surface adsorption state, interfacial ions migration, and electronic concentration around the Fermi level are systematically proposed as guiding principles of catalyst selection for RT Na-S batteries.
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Energy efficiency optimization of an integrated heat pipe cooling system in data center based on genetic algorithm
TL;DR: In this paper, an integrated heat pipe cooling system has been proposed to reduce the energy consumption of cooling system by using natural cooling sources in data centers, but it still has huge energy-saving potential in the operating process.
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Exploring the efficacy of paternity and kinship testing based on single nucleotide polymorphisms
TL;DR: These SNPs might be sufficient to discriminate paternity and full-sibling, but impractical for more distant relatives such as uncle and cousin, and could be informative for further studies and applications on paternity and kinship testing using SNPs.