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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
Dengyu Pan1, Jingchun Zhang1, Zhen Li1, Chao Wu1, Xiumei Yan1, Minghong Wu1 
TL;DR: A unique emission that is strongly dependent on pH, solvent, spin, and excitation wavelength was observed in high blue luminescent carbon nanoparticles prepared by a one-step pyrolytic route from ethylenediamine-tetraacetic acid salts.

554 citations

Journal ArticleDOI
TL;DR: This paper further discusses the properties of three kinds of fractional derivatives: the Grunwald-Letnikov derivative, the Riemann-Liouville derivative and the Caputo derivative, and compares them with the classical derivative.

553 citations

Journal ArticleDOI
TL;DR: This paper studies an event-triggered communication scheme and an H"~ control co-design method for networked control systems (NCSs) with communication delay and packet loss with a novel Lyapunov-Krasovskii functional.

547 citations

Journal ArticleDOI
TL;DR: It is found that virtual work characteristics linked to worker's performance and well‐being via the experienced challenges, and self‐discipline was a significant moderator of several of these relationships.
Abstract: Existing knowledge on remote working can be questioned in an extraordinary pandemic context. We conducted a mixed-methods investigation to explore the challenges experienced by remote workers at this time, as well as what virtual work characteristics and individual differences affect these challenges. In Study 1, from semi-structured interviews with Chinese employees working from home in the early days of the pandemic, we identified four key remote work challenges (work-home interference, ineffective communication, procrastination, and loneliness), as well as four virtual work characteristics that affected the experience of these challenges (social support, job autonomy, monitoring, and workload) and one key individual difference factor (workers' self-discipline). In Study 2, using survey data from 522 employees working at home during the pandemic, we found that virtual work characteristics linked to worker's performance and well-being via the experienced challenges. Specifically, social support was positively correlated with lower levels of all remote working challenges; job autonomy negatively related to loneliness; workload and monitoring both linked to higher work-home interference; and workload additionally linked to lower procrastination. Self-discipline was a significant moderator of several of these relationships. We discuss the implications of our research for the pandemic and beyond.

546 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
Network Information
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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