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Sanghoon Han

Biographic Data

ID3577655
NAMESanghoon Han
GIVEN NAMESSanghoon
FAMILY NAMEHan
SIGNATUREHAN S
AFFILIATIONSYonsei University
ORCID0000-0002-3086-6142
VERIFIEDYes
TOTAL WORKS7
TOTAL CITATIONS0
AUTHOR COUNT7
EDITOR COUNT0
FIRST PUBLICATION YEAR1996
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Intolerance of uncertainty and Covid-19-related post-traumatic stress disorder symptoms in US and Korean college students: Serial mediation by Covid-19 concerns and loneliness

    Open Access•Ji Geun Kim, Hyunjung Yang et al.•ARTICLE•BMC Psychology•2025

    This study provides comprehensive insights into the mechanisms underlying COVID-19-related PTSD symptoms in college students from the US and Korea, emphasizing the roles of intolerance of uncertainty, COVID-19 concerns, and loneliness, which have implications for designing effective interventions and support strategies during the pandemic

  • Identification and comparison of pandemic-to-symptom networks of South Korea and the United States

    Open Access•Mijeong Park, Deachul Seo et al.•ARTICLE•Frontiers in Psychiatry•2023

    The similar network structures and patterns observed in both countries imply that there may exist a stable relationship between the pandemic and internalizing symptoms above and beyond the sociocultural differences. The current findings provide new insights into the common potential pathway between the pandemic and internalizing symptoms in South Korea and in the U.S. and inform policymakers and mental health professionals of potential interventi…

  • Prefrontal cortical activation in Internet Gaming Disorder Scale high scorers during actual real-time internet gaming: A preliminary study using fNirs

    Open Access•Tae Hun Cho, Yoonjin Nah et al.•ARTICLE•Journal of Behavioral Addictions•2022

  • EEG-Based Identification of Emotional Neural State Evoked by Virtual Environment Interaction

    Open Access•Dawoon Jung, Junggu Choi et al.•ARTICLE•International Journal of…•2022

    Classifying emotional states is critical for brain-computer interfaces and psychology-related domains. In previous studies, researchers have tried to identify emotions using neural data such as electroencephalography (EEG) signals or brain functional magnetic resonance imaging (fMRI). In this study, we propose a machine learning framework for emotion state classification using EEG signals in virtual reality (VR) environments. To arouse emotional …

  • Identification of Risk Factors for Suicidal Ideation and Attempt Based on Machine Learning Algorithms: A Longitudinal Survey in Korea (2007–2019)

    Open Access•Junggu Choi, Seoyoung Cho et al.•ARTICLE•International Journal of…•2021

    Investigating suicide risk factors is critical for socioeconomic and public health, and many researchers have tried to identify factors associated with suicide. In this study, the risk factors for suicidal ideation were compared, and the contributions of different factors to suicidal ideation and attempt were investigated. To reflect the diverse characteristics of the population, the large-scale and longitudinal dataset used in this study include…

  • Development of Software Sensors for Determining Total Phosphorus and Total Nitrogen in Waters

    Open Access•Eunhyoung Lee, Sanghoon Han et al.•ARTICLE•International Journal of…•2013

    Total nitrogen (TN) and total phosphorus (TP) concentrations are important parameters to assess the quality of water bodies and are used as criteria to regulate the water quality of the effluent from a wastewater treatment plant (WWTP) in Korea. Therefore, continuous monitoring of TN and TP using in situ instruments is conducted nationwide in Korea. However, most in situ instruments in the market are expensive and require a time-consuming sample …

  • Cultural Nationalism in Contemporary Japan: A Sociological Enquiry. Kosaku Yoshino

    Open Access•Seung‐mi Han, Sanghoon Han•ARTICLE•American Ethnologist•1996

No prominent works on this page.

  • Cultural Nationalism in Contemporary Japan: A Sociological Enquiry. Kosaku Yoshino

    Open Access•Seung‐mi Han, Sanghoon Han•ARTICLE•American Ethnologist•1996

  • Development of Software Sensors for Determining Total Phosphorus and Total Nitrogen in Waters

    Open Access•Eunhyoung Lee, Sanghoon Han et al.•ARTICLE•International Journal of…•2013

    Total nitrogen (TN) and total phosphorus (TP) concentrations are important parameters to assess the quality of water bodies and are used as criteria to regulate the water quality of the effluent from a wastewater treatment plant (WWTP) in Korea. Therefore, continuous monitoring of TN and TP using in situ instruments is conducted nationwide in Korea. However, most in situ instruments in the market are expensive and require a time-consuming sample …

  • Identification of Risk Factors for Suicidal Ideation and Attempt Based on Machine Learning Algorithms: A Longitudinal Survey in Korea (2007–2019)

    Open Access•Junggu Choi, Seoyoung Cho et al.•ARTICLE•International Journal of…•2021

    Investigating suicide risk factors is critical for socioeconomic and public health, and many researchers have tried to identify factors associated with suicide. In this study, the risk factors for suicidal ideation were compared, and the contributions of different factors to suicidal ideation and attempt were investigated. To reflect the diverse characteristics of the population, the large-scale and longitudinal dataset used in this study include…

  • Prefrontal cortical activation in Internet Gaming Disorder Scale high scorers during actual real-time internet gaming: A preliminary study using fNirs

    Open Access•Tae Hun Cho, Yoonjin Nah et al.•ARTICLE•Journal of Behavioral Addictions•2022

  • EEG-Based Identification of Emotional Neural State Evoked by Virtual Environment Interaction

    Open Access•Dawoon Jung, Junggu Choi et al.•ARTICLE•International Journal of…•2022

    Classifying emotional states is critical for brain-computer interfaces and psychology-related domains. In previous studies, researchers have tried to identify emotions using neural data such as electroencephalography (EEG) signals or brain functional magnetic resonance imaging (fMRI). In this study, we propose a machine learning framework for emotion state classification using EEG signals in virtual reality (VR) environments. To arouse emotional …

  • Identification and comparison of pandemic-to-symptom networks of South Korea and the United States

    Open Access•Mijeong Park, Deachul Seo et al.•ARTICLE•Frontiers in Psychiatry•2023

    The similar network structures and patterns observed in both countries imply that there may exist a stable relationship between the pandemic and internalizing symptoms above and beyond the sociocultural differences. The current findings provide new insights into the common potential pathway between the pandemic and internalizing symptoms in South Korea and in the U.S. and inform policymakers and mental health professionals of potential interventi…

  • Intolerance of uncertainty and Covid-19-related post-traumatic stress disorder symptoms in US and Korean college students: Serial mediation by Covid-19 concerns and loneliness

    Open Access•Ji Geun Kim, Hyunjung Yang et al.•ARTICLE•BMC Psychology•2025

    This study provides comprehensive insights into the mechanisms underlying COVID-19-related PTSD symptoms in college students from the US and Korea, emphasizing the roles of intolerance of uncertainty, COVID-19 concerns, and loneliness, which have implications for designing effective interventions and support strategies during the pandemic

Psychology (5 works) · Clinical Psychology (4 works) · Computer Science (4 works) · Medicine (4 works) · Clinical Psychology (3 works) · Psychiatry (3 works) · Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (2 works) · Artificial Intelligence (2 works) · Classifier (UML (2 works) · Coronavirus disease 2019 (COVID-19 (2 works)

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