Hainan Yan 
- : Developing an integrated prediction model for daylighting, thermal comfort, and energy consumption in residential buildings based on the stacking ensemble learning algorithm. In: Building Simulation.
- (2024): Utilizing interpretable stacking ensemble learning and NSGA-III for the prediction and optimisation of building photo-thermal environment and energy consumption. In: Building Simulation, v. 17, n. 5 (Januar 2024).
- (2022): Data-driven prediction and optimization of residential building performance in Singapore considering the impact of climate change. In: Building and Environment, v. 226 (Dezember 2022).
- (2022): Optimization and prediction in the early design stage of office buildings using genetic and XGBoost algorithms. In: Building and Environment, v. 218 (Juni 2022).
- (2018): The influence of the spatial characteristics of urban green space on the urban heat island effect in Suzhou Industrial Park. In: Sustainable Cities and Society, v. 40 (Juli 2018).
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