SangYoun Kim 
- (2025): Corrigendum to “Explainable AI-driven high-fidelity IAQ prediction (HiFi-IAQ) model for subway stations: Spatiotemporal outdoor air quality interpolation using geographic data”. In: Building and Environment, v. 267 (Januar 2025).
- (2024): AI-driven ventilation control policy proximal optimization coupled with dynamic-informed real-time model calibration for healthy and sustainable indoor PM2.5 management. In: Energy and Buildings, v. 323 (November 2024).
- (2024): Explainable AI-driven high-fidelity IAQ prediction (HiFi-IAQ) model for subway stations: Spatiotemporal outdoor air quality interpolation using geographic data. In: Building and Environment, v. 263 (September 2024).
- (2023): Distance adaptive graph convolutional gated network-based smart air quality monitoring and health risk prediction in sensor-devoid urban areas. In: Sustainable Cities and Society, v. 91 (April 2023).
- (2023): Deep-AI soft sensor for sustainable health risk monitoring and control of fine particulate matter at sensor devoid underground spaces: A zero-shot transfer learning approach. In: Tunnelling and Underground Space Technology, v. 131 (Januar 2023).
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