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Sung-Bae Kim

Biographic Data

ID6310554
NAMESung-Bae Kim
GIVEN NAMESSung-Bae
FAMILY NAMEKim
SIGNATUREKIM S
VERIFIEDNo
TOTAL WORKS5
TOTAL CITATIONS1
AUTHOR COUNT5
EDITOR COUNT0
FIRST PUBLICATION YEAR2011
LATEST PUBLICATION YEAR2024
H-INDEX1
  • Urban poverty patterns in Pyongyang (North Korea): A deep-learning-based spatial analysis

    Open Access•S Y Lee, Si-Hyo Lee et al.•ARTICLE•Cities•2024•Cited by: 1•References: 37

    This study attempts to identify the location and characteristics of poor urban neighborhoods in Pyongyang using deep-learning-based remote sensing (RS), geographic information systems (GIS), and big data analyses. To this end, we first classify the residential areas of Pyongyang City into five classes. We then analyze each class's spatial and inter-variable characteristics to identify the location and characteristics of poor residential areas. Du…

  • Anti-asthmatic effects of lepidii seu Descurainiae Semen plant species in ovalbumin-induced asthmatic mice

    Open Access•Sung-Bae Kim, Sung‐Bae Kim et al.•ARTICLE•Journal of Ethnopharmacology•2019

  • Anthriscus sylvestris root extract reduces allergic lung inflammation by regulating interferon regulatory factor 4-mediated Th2 cell activation

    Open Access•Sung-Bae Kim, Sung‐Bae Kim et al.•ARTICLE•Journal of Ethnopharmacology•2019

  • Pretreatment quality of life as a prognostic factor for early survival and functional outcomes in patients with head and neck cancer

    Open Access•Chan Joo Yang, Jong‐Lyel Roh et al.•ARTICLE•Quality of Life Research•2015

  • Translation and validation of Korean Functional Assessment of Cancer Therapy-Esophageal (Fact-E) scale with squamous cell carcinoma and chemoradiation-only patients

    Open Access•Hee-Jung Yoo, Sung-Bae Kim et al.•ARTICLE•Quality of Life Research•2011

  • Urban poverty patterns in Pyongyang (North Korea): A deep-learning-based spatial analysis

    Open Access•S Y Lee, Si-Hyo Lee et al.•ARTICLE•Cities•2024•Cited by: 1•References: 37

    This study attempts to identify the location and characteristics of poor urban neighborhoods in Pyongyang using deep-learning-based remote sensing (RS), geographic information systems (GIS), and big data analyses. To this end, we first classify the residential areas of Pyongyang City into five classes. We then analyze each class's spatial and inter-variable characteristics to identify the location and characteristics of poor residential areas. Du…

  • Translation and validation of Korean Functional Assessment of Cancer Therapy-Esophageal (Fact-E) scale with squamous cell carcinoma and chemoradiation-only patients

    Open Access•Hee-Jung Yoo, Sung-Bae Kim et al.•ARTICLE•Quality of Life Research•2011

  • Pretreatment quality of life as a prognostic factor for early survival and functional outcomes in patients with head and neck cancer

    Open Access•Chan Joo Yang, Jong‐Lyel Roh et al.•ARTICLE•Quality of Life Research•2015

  • Anti-asthmatic effects of lepidii seu Descurainiae Semen plant species in ovalbumin-induced asthmatic mice

    Open Access•Sung-Bae Kim, Sung‐Bae Kim et al.•ARTICLE•Journal of Ethnopharmacology•2019

  • Anthriscus sylvestris root extract reduces allergic lung inflammation by regulating interferon regulatory factor 4-mediated Th2 cell activation

    Open Access•Sung-Bae Kim, Sung‐Bae Kim et al.•ARTICLE•Journal of Ethnopharmacology•2019

  • Urban poverty patterns in Pyongyang (North Korea): A deep-learning-based spatial analysis

    Open Access•S Y Lee, Si-Hyo Lee et al.•ARTICLE•Cities•2024•Cited by: 1•References: 37

    This study attempts to identify the location and characteristics of poor urban neighborhoods in Pyongyang using deep-learning-based remote sensing (RS), geographic information systems (GIS), and big data analyses. To this end, we first classify the residential areas of Pyongyang City into five classes. We then analyze each class's spatial and inter-variable characteristics to identify the location and characteristics of poor residential areas. Du…

Internal Medicine (4 works) · Medicine (4 works) · Allergic inflammation (2 works) · Asthma (2 works) · Asthma and respiratory diseases (2 works) · Bronchoalveolar lavage (2 works) · Cancer (2 works) · Eosinophil (2 works) · Immune system (2 works) · Immunology (2 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae