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Institution

Wuhan University of Technology

EducationWuhan, China
About: Wuhan University of Technology is a education organization based out in Wuhan, China. It is known for research contribution in the topics: Microstructure & Catalysis. The organization has 40384 authors who have published 36724 publications receiving 575695 citations. The organization is also known as: WUT.


Papers
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Journal ArticleDOI
TL;DR: Single-crystalline anatase TiO2 nanocubes with exposed {100} and {001} facets, prepared by hydrothermal and calcination methods, display especially high photocatalytic activity toward CO2 reduction to methane and methanol, due to the synergistic effects of better crystallization, a more negative conduction band position and co-exposed {100}.

198 citations

Journal ArticleDOI
TL;DR: In this article, a universal and readily scalable strategy to produce an N-P-O co-doped free standing 3D graphene through a one-pot red phosphorus-assisted "cutting-thin" technique is reported.

198 citations

Journal ArticleDOI
Junjie Li1, Xinfeng Tang1, Han Li1, Yonggao Yan1, Qingjie Zhang1 
TL;DR: In this article, a series of hydrochloric acid-doped polyaniline (PANI) was prepared by chemical oxidative polymerization and the effects of HCl-doping concentration on the thermoelectric properties in the temperature range of 303-423 K were discussed.

197 citations

Posted Content
TL;DR: In this article, the authors introduce a novel concept of edge computing for mobile blockchain and introduce an economic approach for edge computing resource management. And a prototype of mobile edge computing enabled blockchain systems is presented with experimental results to justify the proposed concept.
Abstract: Blockchain, as the backbone technology of the current popular Bitcoin digital currency, has become a promising decentralized data management framework. Although blockchain has been widely adopted in many applications, e.g., finance, healthcare, and logistics, its application in mobile services is still limited. This is due to the fact that blockchain users need to solve preset proof-of-work puzzles to add new data, i.e., a block, to the blockchain. Solving the proof-of-work, however, consumes substantial resources in terms of CPU time and energy, which is not suitable for resource-limited mobile devices. To facilitate blockchain applications in future mobile Internet of Things systems, multiple access mobile edge computing appears to be an auspicious solution to solve the proof-of-work puzzles for mobile users. We first introduce a novel concept of edge computing for mobile blockchain. Then, we introduce an economic approach for edge computing resource management. Moreover, a prototype of mobile edge computing enabled blockchain systems is presented with experimental results to justify the proposed concept.

197 citations

Journal ArticleDOI
TL;DR: In this paper, a yolkshell Sn@C nanobox composite with controllable structures has been synthesized using a facile approach to fit the volume expansion of Sn during cycling.
Abstract: A yolk–shell Sn@C nanobox composite with controllable structures has been synthesized using a facile approach. The void space is engineered to fit the volume expansion of Sn during cycling. It is demonstrated that the shell thickness of carbon nanobox has substantial influence on both nanostructures and the electrochemical performance. With an optimized shell thickness, a high reversible capacity of 810 mA h g−1 can be maintained after 500 cycles, corresponding to 90% retention of the second discharge capacity. For Sn@C materials with either thinner or thicker carbon shells, significant capacity decay or a decreased specific capacity are observed during cycling. The present study sheds light on the rational design of nanostructured electrode materials with enhanced electrochemical performance for next-generation lithium ion batteries.

197 citations


Authors

Showing all 40691 results

NameH-indexPapersCitations
Jiaguo Yu178730113300
Charles M. Lieber165521132811
Dongyuan Zhao160872106451
Yu Huang136149289209
Han Zhang13097058863
Chao Zhang127311984711
Bo Wang119290584863
Jianjun Liu112104071032
Hong Wang110163351811
Jimmy C. Yu10835036736
Søren Nielsen10580645995
Liqiang Mai10461639558
Bei Cheng10426033672
Feng Li10499560692
Qi Li102156346762
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023140
2022599
20213,894
20203,665
20193,551
20183,076