연구실적

• [학술지논문] Imputing missing data with statistical-learning estimates: impacts on mortality risks attributable to area- and source-specific PM2.5. ATMOSPHERIC POLLUTION RESEARCH, 2026, v.17 no.3, 102785-102785
  SCIE
• [학술지논문] Source apportionment and oxidative potential of PM1 and PM2.5 in Seoul, South Korea ENVIRONMENT INTERNATIONAL, 2026, v.207 no.207, 110010-110010
  SCIE
• [학술지논문] Positive matrix factorization outperforms machine learning in imputing missing PM2.5 and further identifying spatial patterns in multi-sites without external data URBAN CLIMATE, 2025, v.62 no.62, 102552-102552
  SCIE
• [학술지논문] Analysis of PM2.5 inorganic and organic constituents to resolve contributing sources in Seoul, South Korea and Beijing, China and their possible associations with cytokine IL-8 ENVIRONMENTAL RESEARCH, 2024, v.243 no.243, 117860-117860
  SCIE
• [학술지논문] Effects of seasonal management programs on PM2.5 in Seoul and Beijing using DN-PMF: Collaborative efforts from the Korea-China joint research Environment International, 2024, v.191 no.191, 108970-108970
  Scopus
• [학술지논문] Heterogeneity in the health effects of PM2.5 sources across the major metropolitan cities, South Korea: Significance of region-specific management ENVIRONMENTAL RESEARCH, 2024, v.263 no.263, 120230-120230
  SCIE
• [학술지논문] Is replacing missing values of PM2.5 constituents with estimates using machine learning better for source apportionment than exclusion or median replacement? Environmental Pollution, 2024, v.354 no.354, 124165-124165
  Scopus
• [학술지논문] Simultaneous comparison of the chemical composition and attributable source of PM2.5 during 2014-2018 in major metropolitan cities in South Korea: impacts of policy interventions ENVIRONMENTAL RESEARCH LETTERS, 2024, v.19 no.11, 114020-114020
  SCIE
• [학술지논문] Source apportionment of PM2.5 using DN-PMF in three megacities in South Korea AIR QUALITY ATMOSPHERE AND HEALTH, 2024, v.17 no.11, 2579-2599
  SCIE
• [학술지논문] Source apportionment of PM2.5 using dispersion normalized positive matrix factorization (DN-PMF) in Beijing and Baoding, China JOURNAL OF ENVIRONMENTAL SCIENCES, 2024, v.155 no.155, 395-408
  SCIE
• [학술지논문] Machine Learning-Based Proteomics Reveals Ferroptosis in COPD Patient-Derived Airway Epithelial Cells Upon Smoking Exposure Journal of Korean Medical Science, 2023, v.38 no.29, 1-12
  SCIE
• [학술지논문] Health effects of PM2.5 constituents and source contributions in major metropolitan cities, South Korea ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, v.29 no.55, 82873-82887
  SCIE
• [학술지논문] Local and transboundary impacts of PM2.5 sources identified in Seoul during the early stage of the COVID-19 outbreak ATMOSPHERIC POLLUTION RESEARCH, 2022, v.13 no.8, 101510-101510
  SCIE
• [학술지논문] PMF (Positive Matrix Factorization) 수용모델을 활용한 오염원 기여도 분석 고도화 연구 한국대기환경학회지, 2022, v.38 no.4, 493-507
  KCI
• [학술지논문] Source apportionment of PM2.5 in Seoul, South Korea and Beijing, China using dispersion normalized PMF SCIENCE OF THE TOTAL ENVIRONMENT, 2022, v.833 no.833, 155056-155056
  SCIE
• [학술지논문] The impact of organic extracts of seasonal PM2.5 on primary human lung epithelial cells and their chemical characterization ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2021, v.28 no.42, 59868-59880
  SCIE

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