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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Journal ArticleDOI
Water-Soluble Triazolium Ionic-Liquid-Induced Surface Self-Assembly to Enhance the Stability and Efficiency of Perovskite Solar Cells
Shuangjie Wang,Zhen Li,Yuanyuan Zhang,Xingrui Liu,Jian Han,Xuanhua Li,Xuanhua Li,Zhike Liu,Shengzhong Liu,Wallace C. H. Choy +9 more
TL;DR: In this paper, a series of ionic liquids (ILs) "1-alkyl-4-amino-1,2,4-triazolium" (termed as RATZ) were designed and used as additives in methylammonium lead iodide (MAPbI3) perovskite precursor solution.
Journal ArticleDOI
A New Rhodamine-Based Colorimetric Cyanide Chemosensor: Convenient Detecting Procedure and High Sensitivity and Selectivity
TL;DR: A new rhodamine-based dye (I) was successfully developed as a colorimetric chemosensor for the sensitive detection of cyanide, with a detection limit as low as 0.013 ppm.
Journal ArticleDOI
Three polymorphs of one luminogen: how the molecular packing affects the RTP and AIE properties?
TL;DR: In this paper, three crystalline polymorphs of CzS-CN, which display much different properties of room temperature phosphorescence (RTP) and aggregation-induced emission (AIE), were reported.
Journal ArticleDOI
Structural Control of the Side-Chain Chromophores To Achieve Highly Efficient Nonlinear Optical Polyurethanes
Zhong'an Li,Zhen Li,Chong-an Di,Zhichao Zhu,Qianqian Li,Qi Zeng,Kai Zhang,Yunqi Liu,Cheng Ye,Jingui Qin +9 more
TL;DR: In this paper, two series of polyurethanes (P1−P10) containing NLO chromophores as side chains were prepared, in which the size of isolation groups was changed from small atoms to much larger groups such as carbazolyl groups.
Book ChapterDOI
A robust audio watermarking scheme based on lifting wavelet transform and singular value decomposition
TL;DR: Experimental results demonstrate that the proposed LWT-SVD method is not only robust to both general signal processing and desynchronization attacks but also outperform the selected previous studies.