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Guangjie Han

Biographic Data

ID7747476
NAMEGuangjie Han
GIVEN NAMESGuangjie
FAMILY NAMEHan
SIGNATUREHAN G
AFFILIATIONSHohai University
ORCID0000-0002-6921-7369
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2025
H-INDEX0
  • How to Perform Energy-Balanced Underwater Data Collection in AUV-Aided Uasns

    Open Access•Chuan Lin, Guangjie Han et al.•ARTICLE•IEEE Transactions on Computational…•2025

    The rapid evolution of the Internet of Underwater Things (IoUT) has led to the widespread adoption of autonomous underwater vehicle (AUV)-assisted underwater acoustic sensor networks (UASNs) for various applications such as marine environment monitoring and resource exploration. This article introduces an energy-balanced data collection scheme tailored for AUV-supported UASNs. The proposed scheme combines a node clustering method based on a socia…

  • Self-efficacy to reduce sedentary behavior status and its influencing factors among middle-aged or older adults with chronic diseases

    Open Access•Yuxi Chen, Jingjing Chen et al.•ARTICLE•BMC Public Health•2025

    Sedentary behavior (SB) is an important public health risk factor and is common among people with chronic diseases. Self-efficacy to reduce SB represents a distinct construct. Nonetheless, studies investigating interventions for SB are lacking, which may be addressed in future research. Hence, understanding the factors influencing self-efficacy to reduce SB among middle-aged and elderly people with chronic diseases holds significance. This study …

  • ArvaNet

    Open Access•Hongbo Zhu, Guangjie Han et al.•ARTICLE•IEEE Transactions on Computational…•2021

    Depression and anxiety are a couple of pernicious mental states, which may affect lifestyle and quality and even become the primary causes of disability worldwide. Hence, daily monitoring of the mental states is significant for avoiding possible injury. Dynamics of the human blood vascular system convey significant information on recording the emotion and the mental state, which can be monitored via photoplethysmography (PPG). It is one of the be…

No prominent works on this page.

  • ArvaNet

    Open Access•Hongbo Zhu, Guangjie Han et al.•ARTICLE•IEEE Transactions on Computational…•2021

    Depression and anxiety are a couple of pernicious mental states, which may affect lifestyle and quality and even become the primary causes of disability worldwide. Hence, daily monitoring of the mental states is significant for avoiding possible injury. Dynamics of the human blood vascular system convey significant information on recording the emotion and the mental state, which can be monitored via photoplethysmography (PPG). It is one of the be…

  • How to Perform Energy-Balanced Underwater Data Collection in AUV-Aided Uasns

    Open Access•Chuan Lin, Guangjie Han et al.•ARTICLE•IEEE Transactions on Computational…•2025

    The rapid evolution of the Internet of Underwater Things (IoUT) has led to the widespread adoption of autonomous underwater vehicle (AUV)-assisted underwater acoustic sensor networks (UASNs) for various applications such as marine environment monitoring and resource exploration. This article introduces an energy-balanced data collection scheme tailored for AUV-supported UASNs. The proposed scheme combines a node clustering method based on a socia…

  • Self-efficacy to reduce sedentary behavior status and its influencing factors among middle-aged or older adults with chronic diseases

    Open Access•Yuxi Chen, Jingjing Chen et al.•ARTICLE•BMC Public Health•2025

    Sedentary behavior (SB) is an important public health risk factor and is common among people with chronic diseases. Self-efficacy to reduce SB represents a distinct construct. Nonetheless, studies investigating interventions for SB are lacking, which may be addressed in future research. Hence, understanding the factors influencing self-efficacy to reduce SB among middle-aged and elderly people with chronic diseases holds significance. This study …

Artificial Intelligence (2 works) · Computer Science (2 works) · Behavioral Risk Factor Surveillance System (1 work) · Biostatistics (1 work) · Body mass index (1 work) · Cluster analysis (1 work) · Cognitive psychology (1 work) · Computer vision (1 work) · Convolutional neural network (1 work) · Data collection (1 work)

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