Zicong Ye

Biographic Data

ID5675451
NAMEZicong Ye
GIVEN NAMESZicong
FAMILY NAMEYe
SIGNATUREYE Z
AFFILIATIONSWuhan University of Science and Technology
VERIFIEDNo
TOTAL WORKS4
TOTAL CITATIONS0
AUTHOR COUNT4
EDITOR COUNT0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2025
H-INDEX0

  • Effects of physical activity on smartphone addiction in Chinese college students-chain mediation of self-control and stress perception

    Open AccessZicong Ye, Ting Zhang et al.ARTICLEBMC Public Health2025

    Physical activity and self-control negatively predicted smartphone addiction, and stress perception was a negative predictor of smartphone addiction;self-control mediates in physical activity and smartphone addiction;stress perception mediates physical activity and smartphone addiction;self-control and stress perception play a chain mediating role in physical activity and smartphone addiction

  • The effect of leisure-time physical activity on creative thinking via cognitive appraisals and achievement emotions in physical education

    Open AccessTing Zhang, Hongwei Han et al.ARTICLEActa Psychologica2025References: 42

    Analyzing students' emotional experiences in physical education significantly contributes to understanding how PE influences creative thinking. Grounded in the Control-Value Theory of Achievement Emotions, this study examines whether leisure-time physical activity (PA) enhances creative thinking through academic control, subjective task value, and classroom emotions in PE classes. Using stratified cluster sampling based on school type and locatio…

  • The effect of physical activity on depression

    Open AccessZicong Ye, Ying Peng et al.ARTICLEBMC Public Health2024

    There was temporal stability between physical activity, depression, and school burnout among college students. School burnout fully mediated the relationship between physical activity and depression at different time points and acted as a fully lagged mediator. School burnout at time 2 mediated the relationship between physical activity and depression more than school burnout at time 1. High-intensity physical activity was more effective in reduc…

  • Adoption of a deep learning-based neural network model in the psychological behavior analysis of resident tourism consumption

    Open AccessZicong Ye, Xiantao Huang et al.ARTICLEFrontiers in Public Health2022

    With the development of society and the continuous progress of science and technology, it has become the mainstream measure to promote the development of the social economy through science and technology. Therefore, to improve the current situation of tourism consumption, improve the consumer sentiment of tourists, and promote the development of the tourism economy, the convolutional neural network (CNN) technology model is used to analyze the to…