Pak-wai Chan 
- (2024): Integrating physics-informed machine learning with resonance effect for structural dynamic performance modeling. In: Journal of Building Engineering, v. 84 (Mai 2024).
- (2023): Residual design life-based evaluation of structural retrofitting on high-rise reinforced concrete buildings. In: Structures, v. 58 (Dezember 2023).
- (2023): Explainable Boosting Machine for Predicting Wind Shear-Induced Aircraft Go-around based on Pilot Reports. In: KSCE Journal of Civil Engineering, v. 27, n. 10 (September 2023).
- (2023): Estimating turbulence intensity along the glide path using wind tunnel experiments combined with interpretable tree-based machine learning algorithms. In: Building and Environment, v. 239 (Juli 2023).
- (2021): Predicting long-term monthly electricity demand under future climatic and socioeconomic changes using data-driven methods: A case study of Hong Kong. In: Sustainable Cities and Society, v. 70 (Juli 2021).
- (2017): Near-extreme summer meteorological data set for sub-tropical climates. In: Building Services Engineering Research and Technology, v. 38, n. 2 (Februar 2017).
- (2020): Urban Building Energy and Climate (UrBEC) simulation: Example application and field evaluation in Sai Ying Pun, Hong Kong. In: Energy and Buildings, v. 207 (Januar 2020).
- (2020): Wind tunnel testing of the effect of terrain on the wind characteristics of airport glide paths. In: Journal of Wind Engineering and Industrial Aerodynamics, v. 203 (August 2020).
- (2019): Low-level wind effects on the glide paths of the North Runway of HKIA: A wind tunnel study. In: Building and Environment, v. 164 (Oktober 2019).
- (2018): Wind weakening in a dense high-rise city due to over nearly five decades of urbanization. In: Building and Environment, v. 138 (Juni 2018).
Structurae kooperiert mit
