P
Ping Li
Researcher at Sun Yat-sen University
Publications - 1634
Citations - 29128
Ping Li is an academic researcher from Sun Yat-sen University. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 65, co-authored 1085 publications receiving 21357 citations. Previous affiliations of Ping Li include The Chinese University of Hong Kong & National Science Foundation.
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A new compound, methylbergenin along with eight known compounds with cytotoxicity and anti-inflammatory activity from Ardisia japonica.
TL;DR: A new compound, methylbergenin (1), was isolated from the whole plants of Ardisia japonica (Thunb.) Bl.
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Combination of normal light and fluorescence microscopy for authentication of five Lonicera species flower buds
TL;DR: This work is the first report to identify these five Lonicera species by combining normal light and fluorescence microscopy, indicating combining normalLight and fluorescent microscopy could be a powerful method in authentication of confused species.
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Effects of Semantic Context and Fundamental Frequency Contours on Mandarin Speech Recognition by Second Language Learners.
TL;DR: The overall results showed that in addition to L2 proficiency, semantic context, F0 contours, and listening condition all affected the recognition performance on the Mandarin sentences, however, the effects of semantic context and F1 contours on L2 speech recognition diverged to some extent.
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Image stylization with enhanced structure on GPU
TL;DR: A graphics processing unit (GPU) based stylization approach that preserves the fine structure between the original and the stylized images using gradient optimization using parallel bilateral grid and structure-aware stylizing optimization on a GPU-CUDA platform in real time.
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A metabolomic strategy based on integrating headspace gas chromatography-mass spectrometry and liquid chromatography-mass spectrometry to differentiate the five cultivars of Chrysanthemum flower
TL;DR: In this article, the authors developed a metabolomic strategy to find more markers of metabolites for precise differentiation based on headspace gas chromatography-mass spectrometry (HSGC-MS) and ultra-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometers (UHPLC-QTOF/MS).