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Institution

Shanghai University

EducationShanghai, Shanghai, China
About: Shanghai University is a education organization based out in Shanghai, Shanghai, China. It is known for research contribution in the topics: Microstructure & Catalysis. The organization has 59583 authors who have published 56840 publications receiving 753549 citations. The organization is also known as: Shànghǎi Dàxué.


Papers
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Journal ArticleDOI
TL;DR: A new risk priority model is proposed for evaluating the risk of failure modes based on fuzzy set theory and MULTIMOORA method, and an empirical case of preventing infant abduction is provided to illustrate the potential applications and benefits of this model.

160 citations

Journal ArticleDOI
TL;DR: This scheme has better decrypted image quality and higher image recovery accuracy, and an adaptive evaluation function of smoothness characteristic along the isophote direction.

160 citations

Journal ArticleDOI
01 Nov 2003-Wear
TL;DR: In this paper, Ni-based carbon nanotube (CNT) composite coatings with different volume fraction (from 5 to 12 vol%) of CNTs were deposited on medium carbon steel substrates by electroless plating.

160 citations

Journal ArticleDOI
Na Li1, Yu Fan1, Ying Shi1, Qun Xiang1, Xiaohong Wang1, Jiaqiang Xu1 
TL;DR: In this article, a hierarchical flower-like SnO/SnO2 gas sensing material for detecting formaldehyde vapor at a low temperature was designed and successfully synthesized via a one-step hydrothermal route, and the crystal phase, defects, element composition and morphology of obtained samples were characterized in detail by XRD, FESEM, TEM, Raman, PL, and XPS.
Abstract: Here we report a hierarchical flower-like SnO/SnO2 gas sensing material for detecting formaldehyde vapor at a low temperature. It was rationally designed and successfully synthesized via a one-step hydrothermal route. The crystal phase, defects, element composition and morphology of the obtained samples were characterized in detail by XRD, FESEM, TEM, Raman, PL, and XPS. The characterized results reveal that hierarchical SnO/SnO2 nano-flowers are assembled from ultrathin nanosheets with about 9–11 nm in thickness. Gas sensing performance shows that the sensor based on SnO/SnO2 nano-flowers has crucial advantages for formaldehyde detection, such as low operating temperature (120 °C), excellent selectivity, short response time (7 s), high response value (80.9) and low detection limitation (8.15 ppb). The excellent gas responses of the sensor can be attributed to its unique hierarchical microstructure (for decrease of Rg and increase of Ra) and p-n junction between SnO and SnO2 (for increase of Ra). Finally, the sensing mechanism of the prepared was proposed in detail.

160 citations

Journal ArticleDOI
TL;DR: High-performance pressure sensors have attracted considerable attention recently due to their promising applications in touch displays, wearable electronics, human–machine interfaces, and real-time physiological signal perception.
Abstract: High-performance pressure sensors have attracted considerable attention recently due to their promising applications in touch displays, wearable electronics, human–machine interfaces, and real-time physiological signal perception. However, the “functionality” of a sensor is generally incompatible with “simple” fabrication strategies. Therefore, strategies that are less equipment-intensive and less expensive are required for enhancing the sensor performance. Here, we propose a flexible piezoresistive pressure sensor based on MXene–textile prepared by a facile dip-coating process. Benefiting from the excellent electrical properties of MXene and the abundant wavy surface of cotton textile, this pressure sensor exhibits high sensitivity (12.095 kPa−1 for the range 29–40 kPa and 3.844 kPa−1 for the range less than 29 kPa) with a rapid response time of 26 ms, and excellent cycling stability (5600 cycles). The real-time monitoring of human physiological signals such as wrist pulse, voice detection, and finger movements can be achieved by using this MXene–textile sensor. In addition, sensory arrays were successfully applied in the pressure distribution mapping of a key, demonstrating that the pressure sensor can be used as part of wearable devices and human–machine interfaces to sense pressure.

160 citations


Authors

Showing all 59993 results

NameH-indexPapersCitations
Zhong Lin Wang2452529259003
Yang Yang1712644153049
Yang Liu1292506122380
Zhen Li127171271351
Xin Wang121150364930
Jian Liu117209073156
Xin Li114277871389
Wei Zhang112118993641
Jianjun Liu112104071032
Liquan Chen11168944229
Jin-Quan Yu11143843324
Jonathan L. Sessler11199748758
Peng Wang108167254529
Qian Wang108214865557
Wei Zhang104291164923
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023182
2022742
20216,322
20205,569
20195,063
20184,235