ChangKyoo Yoo 
- (2023): Enhancing the sustainable management of fine particulate matter-related health risks at subway stations through sequential forecast and gated probabilistic transformer. In: Building and Environment, v. 244 (Oktober 2023).
- (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).
- (2022): A machine learning-driven spatio-temporal vulnerability appraisal based on socio-economic data for COVID-19 impact prevention in the U.S. counties. In: Sustainable Cities and Society, v. 83 (August 2022).
- (2022): Neural circuit policies-based temporal flexible soft-sensor modeling of subway PM2.5 with applications on indoor air quality management. In: Building and Environment, v. 207 (Januar 2022).
- (2002): SOx Monitoring and Neural Net Classification in the Power Plant. In: Journal of Environmental Engineering (ASCE), v. 128, n. 10 (Oktober 2002).
- (2020): Sustainable subway indoor air quality monitoring and fault-tolerant ventilation control using a sparse autoencoder-driven sensor self-validation. In: Sustainable Cities and Society, v. 52 (Januar 2020).
- (2021): Multi-objective optimization of a time-delay compensated ventilation control system in a subway facility – A harmony search strategy. In: Building and Environment, v. 190 (März 2021).
- (2012): Monitoring and prediction of indoor air quality (IAQ) in subway or metro systems using season dependent models. In: Energy and Buildings, v. 46 (März 2012).
- (2013): Multi-objective optimization of indoor air quality control and energy consumption minimization in a subway ventilation system. In: Energy and Buildings, v. 66 (November 2013).
- (2013): Sensor fault identification and reconstruction of indoor air quality (IAQ) data using a multivariate non-Gaussian model in underground building space. In: Energy and Buildings, v. 66 (November 2013).
- (2014): Online monitoring and interpretation of periodic diurnal and seasonal variations of indoor air pollutants in a subway station using parallel factor analysis (PARAFAC). In: Energy and Buildings, v. 68 (Januar 2014).
- (2019): A deep reinforcement learning-based autonomous ventilation control system for smart indoor air quality management in a subway station. In: Energy and Buildings, v. 202 (November 2019).
- (2020): Imputing missing indoor air quality data via variational convolutional autoencoders: Implications for ventilation management of subway metro systems. In: Building and Environment, v. 182 (September 2020).
- (2020): Energy-efficient time-delay compensated ventilation control system for sustainable subway air quality management under various outdoor conditions. In: Building and Environment, v. 174 (Mai 2020).
- (2019): Flexible real-time ventilation design in a subway station accommodating the various outdoor PM10 air quality from climate change variation. In: Building and Environment, v. 153 (April 2019).
- (2018): A dynamic gain-scheduled ventilation control system for a subway station based on outdoor air quality conditions. In: Building and Environment, v. 144 (Oktober 2018).
- (2015): Indoor air quality control for improving passenger health in subway platforms using an outdoor air quality dependent ventilation system. In: Building and Environment, v. 92 (Oktober 2015).
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