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Institution

Shenzhen University

EducationShenzhen, China
About: Shenzhen University is a education organization based out in Shenzhen, China. It is known for research contribution in the topics: Computer science & Laser. The organization has 28054 authors who have published 35378 publications receiving 522023 citations.


Papers
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Journal ArticleDOI
TL;DR: OpinionSeer is an interactive visualization system that could visually analyze a large collection of online hotel customer reviews and is built on a new visualization-centric opinion mining technique that considers uncertainty for faithfully modeling and analyzing customer opinions.
Abstract: The rapid development of Web technology has resulted in an increasing number of hotel customers sharing their opinions on the hotel services. Effective visual analysis of online customer opinions is needed, as it has a significant impact on building a successful business. In this paper, we present OpinionSeer, an interactive visualization system that could visually analyze a large collection of online hotel customer reviews. The system is built on a new visualization-centric opinion mining technique that considers uncertainty for faithfully modeling and analyzing customer opinions. A new visual representation is developed to convey customer opinions by augmenting well-established scatterplots and radial visualization. To provide multiple-level exploration, we introduce subjective logic to handle and organize subjective opinions with degrees of uncertainty. Several case studies illustrate the effectiveness and usefulness of OpinionSeer on analyzing relationships among multiple data dimensions and comparing opinions of different groups. Aside from data on hotel customer feedback, OpinionSeer could also be applied to visually analyze customer opinions on other products or services.

185 citations

Journal ArticleDOI
TL;DR: A system dynamic model of construction waste reduction management at the construction phase to simulate the environmental benefits of construction Waste Reduction Management and the results indicate that source reduction is an effective waste reduction measure which can reduce 27.05% of the total waste generation.

185 citations

Journal ArticleDOI
30 Mar 2007-Talanta
TL;DR: It is easy to operate in HPLC-ICP-MS for mercury species determination since the extracted solution can be directly injected into the HPLC column without pH adjustment and the memory effect of mercury in the ICP-MS measurement system can be reduced.

185 citations

Journal ArticleDOI
TL;DR: Metallic Ag deposited BiPO4/BiOBr/BiFeO3 ternary nano-hetero-structures showed superior photocatalytic activity for degradation of norfloxacin under visible, ultra-violet, near-infra-red and natural solar light.

185 citations

Journal ArticleDOI
TL;DR: An overview of the current state-of-the-art progresses in the field of electrochemical (bio) sensors for the detection of biomarkers, pharmaceutical drugs, and environmental contaminants is presented in this article.
Abstract: MXenes are two–dimensional layered materials of early transition metal carbides and/or nitrides applied in multiple scientific applications ranging from catalysis, energy storage, to sensors owing to their fascinating and technologically useful properties. This review presents an overview of the current state–of the–art progresses in the field of electrochemical (bio) sensors for the detection of biomarkers, pharmaceutical drugs, and environmental contaminants. Firstly, how synthetic strategies and surface functionalization affect various properties of MXenes, and consequently, the sensing performances are highlighted. Secondly, MXenes as an electrode modifier for the detection of pharmaceutical drugs, environmental contaminants, and important disease biomarkers such as cancer biomarkers, glucose, hydrogen peroxide, etc., are well discussed. Finally, challenges in this field with possible solutions and future opportunities are discussed.

184 citations


Authors

Showing all 28394 results

NameH-indexPapersCitations
Yi Chen2174342293080
Hua Zhang1631503116769
Ben Zhong Tang1492007116294
Jun Lu135152699767
Peter T. Fox13162283369
Han Zhang13097058863
Andrey L. Rogach11757646820
Can Li116104960617
Huanming Yang115634123818
Thomas J. Kipps11474863240
Paras N. Prasad11497757249
Shihe Yang11367142906
Xiaoming Li113193272445
David Zhang111102755118
Wei Lu111197361911
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023202
2022650
20217,080
20206,363
20195,314
20183,877