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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.

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9,9-Dimethylxanthene Derivatives with Room-Temperature Phosphorescence: Substituent Effects and Emissive Properties.

TL;DR: In this paper, different substituents on the 9,9-dimethylxanthene core (XCO) result in compounds with RTP lifetime ranging from 52 to 601 ms, which are tunable by intermolecular interactions and molecular configurations.
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New sensitizers bearing quinoxaline moieties as an auxiliary acceptor for dye-sensitized solar cells

TL;DR: Two organic sensitizers (LI-40 and LI-41) containing 6,7-bis(hexyloxy)-2,3-dimethylquinoxaline unit and thiophene or furan as conjugated bridge were synthesized and utilized for dye-sensitized solar cells (DSSCs) as discussed by the authors.
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Fiber and fabric solar cells by directly weaving carbon nanotube yarns with CdSe nanowire-based electrodes.

TL;DR: This work applies carbon nanotube yarns as counter electrodes in combination with CdSe nanowire-grafted primary electrodes (Ti wire) for making fiber and fabric-shaped photoelectrochemical cells with power conversion efficiencies in the range 1% to 2.9%.
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Functional mapping of the zebrafish early embryo proteome and transcriptome.

TL;DR: Comparison of the whole proteome and transcriptome of the early stage (24 h post-fertilization) zebrafish embryo demonstrated that embryonic developmental systems differentially exploit transcriptional and post-transcriptional regulatory mechanisms to modulate protein abundance.
Proceedings ArticleDOI

Pornographic Images Detection Based on CBIR and Skin Analysis

TL;DR: A novel two-stage scheme of pornographic image detection is proposed, which first applies the content-based image retrieval technique to find out whether human are present in the images, and then a detailed skin color analysis is performed to affirm the presence of pornographic content.