*indicates first author

1. Choi, H., Park, S., Im, J., Kang, E., Kim, J., & Kim, S. M. (2025). "Aerosol optical depth retrieval from Geostationary Environment Monitoring Spectrometer (GEMS): Advancing the first hyperspectral geostationary air quality mission using deep learning." Science of The Total Environment, 1002, 180535. [link]

2. Malik, S., Kang, E.*, Kang, Y., & Im, J. (2025). "Bridging temporal gaps: AI-based temporal downscaling of biweekly NH3 to daily scale with spatial transferability." Journal of Hazardous Materials, 139166.[link]

3. Park, H., Sohn, W., Kang, E., Im, J., & Lee, J. (2025). "Developing a novel Temporal Air-quality Risk Index using LSTM autoencoder: A case study with South Korean air quality data." Science of The Total Environment, 978, 179303. [link]

4. Kang, E.*, Cho, D., Lee, S., Im, J., Lee, D., & Yoo, C. (2024).  "An explainable AI framework for spatiotemporal risk factor analysis in public health: a case study of cardiovascular mortality in South Korea." GIScience & Remote Sensing, 61(1), 2436997. [link]

5. Yoo, C., Im, J., Weng, Q., Cho, D., Kang, E., Shin, Y. (2023). "Diurnal Urban Heat Risk Assessment: Using Extreme Air Temperatures and Real-Time Population Data in Seoul.", ISCIENCE, 26(11), 108123. [link]

6. Kang, E.*, Park, S., Kim, M., Yoo, C., Im, J., & Song, C. K. (2023). "Direct aerosol optical depth retrievals using MODIS reflectance data and machine learning over East Asia." Atmospheric Environment, 309, 119951. [link]

7. Kim, Y., Kang, E., Cho, D., Lee, S., & Im, J. (2022). "Improved Estimation of Hourly Surface Ozone Concentrations using Stacking Ensemble-based Spatial Interpolation." Journal of the Korean Association of Geographic Information Studies, 25(3), 74-99. [link]

8. Kang, Y., Kim, M., Kang, E., Cho, D., & Im, J. (2022). "Improved retrievals of aerosol optical depth and fine mode fraction from GOCI geostationary satellite data using machine learning over East Asia." ISPRS Journal of Photogrammetry and Remote Sensing, 183, 253-268. [link]

9. Kang, E.*, Yoo, C., Shin, Y., Cho, D., & Im, J. (2021). "Comparative Assessment of Linear Regression and Machine Learning for Analyzing the Spatial Distribution of Ground-level NO 2 Concentrations: A Case Study for Seoul, Korea." Korean Journal of Remote Sensing, 37(6_1), 1739-1756. [link]