C
Chao Yang
Researcher at Tianjin University
Publications - 562
Citations - 13733
Chao Yang is an academic researcher from Tianjin University. The author has contributed to research in topics: Chemistry & Engineering. The author has an hindex of 46, co-authored 445 publications receiving 8076 citations. Previous affiliations of Chao Yang include China University of Geosciences (Wuhan) & Kunming University of Science and Technology.
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In Situ Formation of Nanofibers from Purpurin18‐Peptide Conjugates and the Assembly Induced Retention Effect in Tumor Sites
TL;DR: A responsive small-molecule precursor is prepared that simultaneously self-assembles into nanofibers in tumor sites that exhibit an assembly-induced retention effect, which results in an improved PA imaging signal and enhanced therapeutic efficacy.
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Oxygen Vacancy Promoted Heterogeneous Fenton-like Degradation of Ofloxacin at pH 3.2-9.0 by Cu Substituted Magnetic Fe3O4@FeOOH Nanocomposite
TL;DR: The new formed oxygen vacancy from in situ Fe substitution by Cu rather than promoted Fe3+/Fe2+ cycle was responsible for the ultraefficiency of Cu doped Fe3O4@FeOOH at neutral and even alkaline pHs.
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Correctional DP-Based Energy Management Strategy of Plug-In Hybrid Electric Bus for City-Bus Route
TL;DR: Simulation results demonstrate that, integrated with the correctional logic of AMT gear shifting, the proposed energy management strategy can guarantee that the engine and the electric machine work in the high-efficiency area with optimal energy distribution, while keeping drivability in the variation of road slope and loads.
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Shale characteristics in the southeastern Ordos Basin, China: Implications for hydrocarbon accumulation conditions and the potential of continental shales
Xuan Tang,Jinchuan Zhang,Xiangzeng Wang,Bingsong Yu,Wenlong Ding,Jinyu Xiong,Yiting Yang,Long Wang,Chao Yang +8 more
TL;DR: In this paper, the authors examined the coal and gas samples collected from the Chang 7 (C7) and Chang 9 (C9) Members, Yanchang Formation in the southeastern Ordos Basin for geochemical, petrologic and gas content analysis.
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Driving-behavior-aware stochastic model predictive control for plug-in hybrid electric buses
TL;DR: In this paper, a novel driving-behavior-aware modified stochastic model predictive control method is proposed for the plug-in hybrid electric bus, where the K-means is employed to classify driving behaviors, and the driver models based on Markov chains are obtained under different kinds of driving behaviors.