Kwon, Y., H.-J. Song, and W. Choi, 2026, Particulate matter characteristics by forecast regions in Korea using the fusion of explainable artificial intelligence and clustering, SOLA, to be submitted.
Venkateswaran, R., D. Venkateswaran, J. H. Jeong, Y. Cho, and W. Choi*, 2026, AQS-Informer: Long-term Wind Speed Forecasting via Adaptive Query Selection and EEMD-based Signal Decomposition, Information Sciences, to be submitted.
Sohn, S., M. J. Kim, C. Cho, and W. Choi*, 2026, Data-driven approach to understanding spatiotemporal variability of ozone concentrations in Seoul Metropolitan Area, Atmospheric Pollution Research, submitted.
Lim, C., W. Choi*, and Y Chen, 2026, Summertime green-roof effects on temperature and CO2-concentration reduction in Seoul, South Korea, using the ENVI-met model, Ecological Indicators, submitted.
Song, Han Gyeol, W. Choi*, C. Cho, M. Y. Song, J. B. Kim, and K. Kim, 2026, SHAP-Based Assessment of the Conditional Influence of PM2.5 on O3 Formation in Seoul, Republic of Korea, Atmospheric Environment, submitted.
Venkateswaran, R., W. Choi, S. R. Lee, Y. H. Joo, and J. H. Jeong, 2026, Coordinated Pitch and Speed Operations for Power Maximization of Large Scale PMVG-based WECS Under Integral Adaptive Backstepping Control Strategy, Sadhana, accepted.
Venkateswaran, R., W. Choi, J. H. Jeong, and J. Woo, 2026, Reachable Set Estimation for Wind Energy Conversion System via Nonfragile Memory Sampled-data Control, AIMS Mathematics, 11(3), 8308-8331.
Venkateswaran, R., D. Venkateswaran, W. Choi, Y. Cho, and J. H. Jeong, 2026, Hybrid CEEMDAN–Transformer–LSTM Framework for enhanced multi-horizon wind speed forecasting, Journal of Wind Engineering & Industrial Aerodynamics, 272, 106408.
Venkateswaran, D., R. Venkateswaran, C. Shin, W. Choi, and Y. Cho, 2026, Novel VMD-Informer-LSTM Architecture for Solar Radiation Forecasting with Signal Decomposition and Sparse Attention for Smart Energy Applications, Expert Systems With Applications, 305, 130612.
Jeon, G., and W. Choi*, 2025, A Multimodal Deep Learning Model for Typhoon Track Prediction Incorporating Time Series Characteristics, KIISE Transactions on Computing Practices, 31(12), 521-526. (Domestic)
Jeon, G., C. Cho, K. Kim, and W. Choi*, 2025, Deep-learning-based wildfire occurrence prediction with human factors in Gangwon Province, South Korea, Ecological Informatics, 92, 103519.
Kim, K.-Y., C.-H. Ho, H.-R. Oh, W. Choi, J. Kim, and H. M. Cheung, 2025, High PM2.5 episodes in Seoul, Korea, associated with Siberian High intensity, Climate Dynamics, 63, 224.
Noh, Y., D. Lee, S. Joo, J. Sim, C. S. Hong, K.-h. Lee, J. O. Kim, S.-k. Shin, J. Park, L. Atsanavong, V. Phanphongsa, W. Choi, S.-h. Oh, G. Lee, S.-m. Kim, M.-k. Sung, J. Park, and K. Kim, 2025, Spatiotemporal Analysis of Air Pollutants in Vientiane, Laos via Mobile Sensing, Sensors and Materials, 37(2), 759-772.
Oh, H.-R., D.-S. R. Park, H.-Y. Ko, J. Seo, M. Lee, and W. Choi, 2025, Comprehensive analysis of PM2.5 concentrations in the Seoul Metro underground stations: Relationships with indoor sources and outdoor air quality, Asia-Pacific Journal of Atmospheric Sciences, 61: 1.
Song, H.-J., W. Choi, and Z. Wang, 2024, Abnormal Climate in 2022 Summer in Korea and Asia, Asia-Pacific Journal of Atmospheric Sciences, 60, 385-386.
Choi, W., C.-H. Ho, and Y. Lee, 2024, Temporal pattern classification of PM2.5 chemical compositions in Seoul, Korea using K-means clustering analysis, Science of the Total Environment, 927, 172157.