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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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Pyrene-fused PDI based ternary solar cells: high power conversion efficiency over 10%, and improved device thermal stability

TL;DR: In this article, a pyrene-fused perylene diimides (PDI) was used for fabricating ternary OSCs, which exhibited much better device performance than those of the parent PDI-based devices.
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Ethanol flame synthesis of highly transparent carbon thin films

TL;DR: In this paper, a large area (the order of centimeters), flexible thin films of amorphous carbon were prepared on copper foils by an ethanol flame synthesis method, and the carbon films exhibit high transmittance in the visible and near infrared range (up to 90% at 550nm).
Proceedings Article

Learning to Search Efficiently in High Dimensions

TL;DR: This paper considers a new framework that applies supervised learning to directly optimize a data structure that supports efficient large scale search and significantly outperforms the start-of-the-art learning to hash methods, as well as state of theart high dimensional search algorithms.
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A facile enhancement in battery-type of capacitive performance of spinel NiCo2O4 nanostructure via directly tuning thermal decomposition temperature

TL;DR: In this paper, a facile, low cost and time-saving method to synthesize porous NiCo 2 O 4 nanoplatelet and nanorod structures is developed via a simple two-step route.
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Identification of lung cancer breath biomarkers based on perioperative breathomics testing: A prospective observational study

TL;DR: Wang et al. as mentioned in this paper used high-pressure photon ionisation time-of-flight mass spectrometry to identify breath biomarkers of lung cancer through perioperative dynamic breathomics testing.