Sheng Hua Liu
Central China Normal University
326 Papers
1.3K Citations
Sheng Hua Liu is an academic researcher from Central China Normal University. The author has contributed to research in topics: Chemistry & Ruthenium. The author has an hindex of 37, co-authored 316 publications. Previous affiliations of Sheng Hua Liu include Magma Design Automation & Technische Universität Ilmenau.
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Papers
Synthesis, structure and mechanofluorochromic properties of phenothiazine-S-oxide and phenothiazine-S,S-dioxide derivatives.
TL;DR: In this article , two novel luminescent molecules containing distorted phenothiazine-S-oxide and phenothia-S dioxide skeletons were synthesized by oxidation reactions using different oxidants (m-chloroperoxybenzoic acid, acetic acid /hydrogen peroxide).
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Nucleophilic Reactions of Osmanaphthalynes with PMe3 and H2O
Ming-Xing Zhang,Ming-Xing Zhang,Lu Lin,Xiaofei Yang,Jun Yin,Jun Zhu,Sheng Hua Liu,Sheng Hua Liu +7 more
TL;DR: In this paper, a new class of complexes, 2CF, 2H, 2Br, 2I, and 2(OCH), have been synthesized in a one-pot method involving the treatment of osmanaphthalynes bearing corresponding substituents (1(CF, 1(H), 1(Br), 1/I), and 1/OCH)) with trimethylphosphine (PMe) and water.
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Novel scorpion-like carbazole derivatives: Synthesis, characterization, mechanochromism and aggregation-induced emission
TL;DR: In this paper, a series of nitrophenyl substituted carbazole derivatives [9-methyl-3,6-bis(4-nitrophenymyl)-9H-carbazole (3), 9-ethyl-3-6-bi-n-nodes (4]-9-hexyl-3.6-biphenyl)-n-bimodal carbazoles bearing Dπ-A systems were prepared and their photophysical properties were investigated comparatively and systematically.
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Patent
Visual method and equipment for dynamic view evolution of social media event
Cheng Xueqi,Sheng Hua Liu,Ya-Tao Zhu,Wang Yuanzhuo,Liu Yue,Wenjun Zhu +5 more
- 25 Sep 2013
TL;DR: In this paper, a visual method for the dynamic view evolution of a social media event is presented, which can intuitively display the emotional change of the event in an information stream, can display more emotional information in the aspects of the change and development of the invent, and can help a user recognize the turning point and the bursting point of an event better.
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•Proceedings Article
ICTNET at Microblog Track TREC 2011
Peng Cao,Jinhua Gao,Yubao Yu,Sheng Hua Liu,Yue Liu,Xueqi Cheng +5 more
- 01 Jan 2011
TL;DR: In this paper, two learning-to-rank methods, namely RankSVM and ListNet, were used to combine all those featuresto sort them, returning the final ranked tweets to a specified query.