J
Jun Yang
Researcher at Huazhong University of Science and Technology
Publications - 71
Citations - 2606
Jun Yang is an academic researcher from Huazhong University of Science and Technology. The author has contributed to research in topics: Big data & Cloud computing. The author has an hindex of 17, co-authored 58 publications receiving 1562 citations. Previous affiliations of Jun Yang include South China University of Technology & Wuhan University of Technology.
Papers
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Journal ArticleDOI
Impact on mental health and perceptions of psychological care among medical and nursing staff in Wuhan during the 2019 novel coronavirus disease outbreak: A cross-sectional study.
Lijun Kang,Simeng Ma,Min Chen,Jun Yang,Ying Wang,Ruiting Li,Lihua Yao,Hanping Bai,Zhongxiang Cai,Bing Xiang Yang,Shaohua Hu,Kerang Zhang,Gaohua Wang,Ci Ma,Zhongchun Liu +14 more
TL;DR: Although staff accessed limited mental healthcare services, distressed staff nonetheless saw these services as important resources to alleviate acute mental health disturbances and improve their physical health perceptions, emphasize the importance of being prepared to support frontline workers through mental health interventions at times of widespread crisis.
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5G-Smart Diabetes: Toward Personalized Diabetes Diagnosis with Healthcare Big Data Clouds
TL;DR: The 5G-Smart Diabetes system is proposed, which combines the state-of-the-art technologies such as wearable 2.0, machine learning, and big data to generate comprehensive sensing and analysis for patients suffering from diabetes.
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A 5G Cognitive System for Healthcare
TL;DR: This paper proposes a novel healthcare system based on a 5G Cognitive System (5G-Csys), which consists of a resource cognitive engine and a data cognitive engine that is used to handle a patient’s health status physiologically and psychologically.
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Big Health Application System based on Health Internet of Things and Big Data
TL;DR: The big health application system based on the health Internet of Things and big data is presented and the system architecture, key technologies, and typical applications of big health system are introduced in detail.
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Smart Home 2.0: Innovative Smart Home System Powered by Botanical IoT and Emotion Detection
TL;DR: This paper investigates the integration of smart home and botanical IoT for creating a better living environment to increase people’s quality of life and proposes an evolution from traditional smart home solution to Smart Home 2.0 to achieve the organic integration between users and greeneries.