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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Comprehensive Understanding of OM-Hosted Pores in Transitional Shale: A Case Study of Permian Longtan Shale in South China Based on Organic Petrographic Analysis, Gas Adsorption, and X-ray Diffraction Measurements
TL;DR: In this article, the nature and formation of organic matter in the Permian shales are investigated. But, the authors focus on the "Marine-continental transitional (hereinafter referred to as transitional) permian Shales are the important targets for shale gas in China".
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Synthesis, biodistribution, and imaging of PEGylated-acetylated polyamidoamine dendrimers
TL;DR: PEGylated-acetylated dendrimers could improve the blood retention, decrease organ accumulation, and improve pharmacokinetic profile, which suggests that PEGylation- acetylation provides an alternative method for PAMAM dendriers modification.
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An Improved Quadrilateral Fitting Algorithm for the Water Column Contribution in Airborne Bathymetric Lidar Waveforms
Kai Ding,Qingquan Li,Jiasong Zhu,Chisheng Wang,Guan Minglei,Chen Zhipeng,Chao Yang,Yang Cui,Jianghai Liao +8 more
TL;DR: The improved quadrilateral fitting algorithm shows a superior performance in terms of low RMSE and a high detection rate in the water depth and magnitude retrieval and showed the best performance in fitting the return waveforms, and had consistent fitting goodness for all different water depths.
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Hydroxyl Radical-Involving p-Nitrophenol Oxidation during Its Reduction by Nanoscale Sulfidated Zerovalent Iron under Anaerobic Conditions.
TL;DR: In this paper, the authors revealed that a PNP oxidation process involving •OH resulted from the H2O2 activation by surface-bound Fe(II) in S-ZVI, in which H 2O2 was generated via a surface mediated reaction between water and FeS2.
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Rotation Invariance Regularization for Remote Sensing Image Scene Classification with Convolutional Neural Networks
TL;DR: Wang et al. as discussed by the authors proposed a novel scene classification framework based on a deep Siamese convolutional network with rotation invariance regularization, which directly enforced the labels of the training samples before and after rotating to be mapped close to each other.