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Junhyeok Lee

Datos Biográficos

ID7960271
NOMBREJunhyeok Lee
NOMBRESJunhyeok
APELLIDOLee
FIRMALEE J
AFILIACIONESKyung Hee University
ORCID0009-0008-8089-1881
VERIFICADOSí
TOTAL DE OBRAS3
TOTAL DE CITAS0
TOTAL COMO AUTOR3
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2024
AÑO MÁS RECIENTE DE PUBLICACIÓN2026
ÍNDICE H0
  • E-commerce supply chain planning with Space-as-a-Service

    Open Access•Seungchae, Sangjun Yoon et al.•ARTICLE•Socio-Economic Planning Sciences•2026

  • A multimodal ensemble stacking model improves brain age prediction and reveals associations with schizophrenia symptoms

    Open Access•Junhyeok Lee, Seo Yeong Kim et al.•ARTICLE•Frontiers in Psychiatry•2025

    Our findings demonstrate that integrating sMRI and FA features improves brain age prediction accuracy and generalization. Furthermore, the correlation between brainPAD and clinical symptoms highlights its potential as a biomarker for disease progression and treatment monitoring. These results underscore the value of multimodal neuroimaging and machine learning in advancing psychiatric neuroimaging research and paving the way for clinical applicat…

  • Helmet wearing and related factors among electric personal mobility device users in Korea

    Open Access•Eunbi Kim, Taehun Kim et al.•ARTICLE•Health Promotion International•2024

    Using data from the 2022 Korea Community Health Survey (n = 13 320), this study investigated helmet use and related factors among Korean adults using personal mobility devices, without distinguishing between private and hired users. Among mobility device users, 32.1% responded that they always wore a helmet. The proportion of helmet use was 35.2% among men, 25.8% among women, 29.2% among those aged 19–44 years, 42.3% among those aged 45–64 years …

Sin obras prominentes en esta página.

  • Helmet wearing and related factors among electric personal mobility device users in Korea

    Open Access•Eunbi Kim, Taehun Kim et al.•ARTICLE•Health Promotion International•2024

    Using data from the 2022 Korea Community Health Survey (n = 13 320), this study investigated helmet use and related factors among Korean adults using personal mobility devices, without distinguishing between private and hired users. Among mobility device users, 32.1% responded that they always wore a helmet. The proportion of helmet use was 35.2% among men, 25.8% among women, 29.2% among those aged 19–44 years, 42.3% among those aged 45–64 years …

  • A multimodal ensemble stacking model improves brain age prediction and reveals associations with schizophrenia symptoms

    Open Access•Junhyeok Lee, Seo Yeong Kim et al.•ARTICLE•Frontiers in Psychiatry•2025

    Our findings demonstrate that integrating sMRI and FA features improves brain age prediction accuracy and generalization. Furthermore, the correlation between brainPAD and clinical symptoms highlights its potential as a biomarker for disease progression and treatment monitoring. These results underscore the value of multimodal neuroimaging and machine learning in advancing psychiatric neuroimaging research and paving the way for clinical applicat…

  • E-commerce supply chain planning with Space-as-a-Service

    Open Access•Seungchae, Sangjun Yoon et al.•ARTICLE•Socio-Economic Planning Sciences•2026

Medicine (2 obras) · Psychology (2 obras) · Automotive and Human Injury Biomechanics (1 obras) · Context (archaeology) (1 obras) · Engineering (1 obras) · Facility Location and Emergency Management (1 obras) · Functional Brain Connectivity Studies (1 obras) · Human Factors and Ergonomics (1 obras) · Injury Epidemiology and Prevention (1 obras) · Injury prevention (1 obras)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae