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Chenrui Li

Biographic Data

ID7289574
NAMEChenrui Li
GIVEN NAMESChenrui
FAMILY NAMELi
SIGNATURELI C
AFFILIATIONSShanghai Jiao Tong University
ORCID0009-0008-7614-3936
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS0
AUTHOR COUNT5
EDITOR COUNT0
FIRST PUBLICATION YEAR2019
LATEST PUBLICATION YEAR2026
H-INDEX0
  • The role of AI-mediated learning contexts in the personality–self-directed learning relationship among Chinese medical undergraduates: A cross-sectional study

    Open Access•Chenrui Li, Fan Hu et al.•ARTICLE•BMC Medical Education•2026

    BACKGROUND: Self-directed learning (SDL) is a core competency in medical education. The emergence of generative artificial intelligence (AI) has reshaped technology-enhanced learning, yet it remains unclear how AI-related contextual factors interact with personality traits to influence SDL. METHODS: A cross-sectional survey was conducted among 1,208 medical undergraduates from universities in Shanghai and other regions of China. Data were analyze…

  • Psychosocial correlates of free Mpox vaccination intention among men who have sex with men in China: Model construction and validation

    Open Access•Yinghuan Zhang, Meihui Zhang et al.•ARTICLE•Journal of Global Health•2025

    Background: The outbreak of Mpox in China has rendered the promotion of effective preventive measures among susceptible populations particularly crucial. We aimed to explore the correlates and develop a model for Mpox vaccination intention. Methods: We distributed a questionnaire to a sample of 2403 men who have sex with men to investigate whether they would get a Mpox vaccine. The participants were randomly split into a training set and a testin…

  • Predicting osteoporosis preventive behaviors in middle-aged and older urban Shanghai residents: A health belief model-based path analysis in a multi-center population study

    Open Access•Yichen Wang, Timothy C Wang et al.•ARTICLE•Frontiers in Public Health•2023

    Background Osteoporosis represents a significant health concern as a widespread metabolic bone condition. In this study, we aim to utilize path analysis to examine the intricate relationships among demographic information, Health Belief Model (HBM) constructs and osteoporosis preventive behavior among Shanghai residents over 40 years of age. Methods A multi-center population study was conducted in 20 volunteer communities in Shanghai, China. Out …

  • Quantification of Loess Landforms from Three-Dimensional Landscape Pattern Perspective by Using DEMs

    Open Access•Hong Wei, Sijin Li et al.•ARTICLE•ISPRS International Journal of…•2021

    Quantitative analysis of the differences and the exploration of the evolution models of different loess landform types are greatly important to the in-depth understanding of the evolution process and mechanism of the loess landforms. In this research, several typical loess landform areas in the Chinese Loess Plateau were selected, and the object-oriented image analysis (OBIA) method was employed to identify the basic loess landform types. Three-d…

  • Evaluation of potential herb-drug interactions between oseltamivir and commonly used anti-influenza Chinese medicinal herbs

    Open Access•Yufeng Zhang, Chunming Lyu et al.•ARTICLE•Journal of Ethnopharmacology•2019

No prominent works on this page.

  • Evaluation of potential herb-drug interactions between oseltamivir and commonly used anti-influenza Chinese medicinal herbs

    Open Access•Yufeng Zhang, Chunming Lyu et al.•ARTICLE•Journal of Ethnopharmacology•2019

  • Quantification of Loess Landforms from Three-Dimensional Landscape Pattern Perspective by Using DEMs

    Open Access•Hong Wei, Sijin Li et al.•ARTICLE•ISPRS International Journal of…•2021

    Quantitative analysis of the differences and the exploration of the evolution models of different loess landform types are greatly important to the in-depth understanding of the evolution process and mechanism of the loess landforms. In this research, several typical loess landform areas in the Chinese Loess Plateau were selected, and the object-oriented image analysis (OBIA) method was employed to identify the basic loess landform types. Three-d…

  • Predicting osteoporosis preventive behaviors in middle-aged and older urban Shanghai residents: A health belief model-based path analysis in a multi-center population study

    Open Access•Yichen Wang, Timothy C Wang et al.•ARTICLE•Frontiers in Public Health•2023

    Background Osteoporosis represents a significant health concern as a widespread metabolic bone condition. In this study, we aim to utilize path analysis to examine the intricate relationships among demographic information, Health Belief Model (HBM) constructs and osteoporosis preventive behavior among Shanghai residents over 40 years of age. Methods A multi-center population study was conducted in 20 volunteer communities in Shanghai, China. Out …

  • Psychosocial correlates of free Mpox vaccination intention among men who have sex with men in China: Model construction and validation

    Open Access•Yinghuan Zhang, Meihui Zhang et al.•ARTICLE•Journal of Global Health•2025

    Background: The outbreak of Mpox in China has rendered the promotion of effective preventive measures among susceptible populations particularly crucial. We aimed to explore the correlates and develop a model for Mpox vaccination intention. Methods: We distributed a questionnaire to a sample of 2403 men who have sex with men to investigate whether they would get a Mpox vaccine. The participants were randomly split into a training set and a testin…

  • The role of AI-mediated learning contexts in the personality–self-directed learning relationship among Chinese medical undergraduates: A cross-sectional study

    Open Access•Chenrui Li, Fan Hu et al.•ARTICLE•BMC Medical Education•2026

    BACKGROUND: Self-directed learning (SDL) is a core competency in medical education. The emergence of generative artificial intelligence (AI) has reshaped technology-enhanced learning, yet it remains unclear how AI-related contextual factors interact with personality traits to influence SDL. METHODS: A cross-sectional survey was conducted among 1,208 medical undergraduates from universities in Shanghai and other regions of China. Data were analyze…

Medicine (3 works) · Geography (2 works) · Gerontology (2 works) · Bone health and osteoporosis research (1 works) · Chemistry (1 works) · China (1 works) · Clinical Psychology (1 works) · Computational Drug Discovery Methods (1 works) · Coronavirus disease 2019 (COVID-19 (1 works) · Curriculum (1 works)

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