Kwon-Ho Lee

Assistant Professor

Gangneung-Wonju National University

South Korea

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Dr. Kwon-Ho Lee is an Assistant Professor at Gangneung-Wonju National University in South Korea. His research primarily focuses on air quality and aerosol characteristics, with recent works exploring topics such as machine learning applications for predicting air pollutants and analyzing carbon emissions research trends. His contributions also include advancements in monitoring and prediction models for environmental pollutants, utilizing deep learning and other methodologies.

Articles (14)

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2025

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2025

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2025

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2024

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2023

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2023

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2022

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2022

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2022

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2022

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2022

Collaborators (2)

Kwanchul Kim

Advanced Institute of Convergence Technology

SOUTH KOREA

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Chul-Un Ro

Inha University

SOUTH KOREA

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Kwon-Ho Lee

Research Interests

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About

Articles (14)

Unraveling urban nighttime aerosol characteristics and meteorological factors on AOD-PM relationships in East Asia

Analyzing Research Trends and Knowledge Structure in Carbon Emissions Research Using Text Mining

Attention mechanism augmented random forest model for multiple air pollutants estimation

Spatiotemporal aerosol prediction model based on fusion of machine learning and spatial analysis

Accuracy Analysis of Machine Learning Methods for Predicting PM Concentration

Monitoring and Prediction of Smoke Emitted from the Large Explosion Accident: 2015 Tianjin Explosion Case

Application and Evaluation of Machine Learning Techniques for Real-time Short-term Prediction of Air Pollutants

Estimation of Aerosol Radiative Forcing Using Deep Learning Technique

Analysis of Long-Term Aerosol Optical Properties Combining AERONET Sunphotometer and Satellite-Based Observations in Hong Kong

A physical knowledge-based machine learning method for near-real-time dust aerosol properties retrieval from the Himawari-8 satellite data

Long-range transport impacts from biomass burning and secondary pollutant sources based on receptor models during KORUS-AQ campaign

Effect of Reduced Emissions from Thermal Power Plants in China on Local Air Quality Improvement

Review of Atmospheric Environmental Change from Earth Observing Satellites

Estimation of the Hourly Aerosol Optical Depth From GOCI Geostationary Satellite Data: Deep Neural Network, Machine Learning, and Physical Models

Collaborators (2)

Kwanchul Kim

Chul-Un Ro

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