| Source apportionment of PM2. 5 in Seoul, South Korea and Beijing, China using dispersion normalized PMF J Park, H Kim, Y Kim, J Heo, SW Kim, K Jeon, SM Yi, PK Hopke Science of The Total Environment 833, 155056, 2022 | 59 | 2022 |
| Fifteen-year trends in carbon species and PM2. 5 in Seoul, South Korea (2003–2017) Y Kim, SM Yi, J Heo Chemosphere 261, 127750, 2020 | 29 | 2020 |
| Health risk assessment and source apportionment of PM2.5-bound toxic elements in the industrial city of Siheung, Korea YS Lee, YK Kim, E Choi, H Jo, H Hyun, SM Yi, JY Kim Environmental Science and Pollution Research 29 (44), 66591-66604, 2022 | 14 | 2022 |
| Local and transboundary impacts of PM2. 5 sources identified in Seoul during the early stage of the COVID-19 outbreak Y Kim, K Jeon, J Park, K Shim, SW Kim, HJ Shin, SM Yi, PK Hopke Atmospheric Pollution Research 13 (8), 101510, 2022 | 10 | 2022 |
| Is replacing missing values of PM2. 5 constituents with estimates using machine learning better for source apportionment than exclusion or median replacement? Y Kim, SM Yi, J Heo, H Kim, W Lee, H Kim, PK Hopke, YS Lee, HJ Shin, ... Environmental Pollution 354, 124165, 2024 | | 2024 |
