Junjing Yang 
- (2024): A case-control study of behavioural and built environment determinants of COVID-19 transmission in sheltered markets. In: Building and Environment, v. 264 (Oktober 2024).
- (2021): Occupancy-based energy consumption modelling using machine learning algorithms for institutional buildings. In: Energy and Buildings, v. 252 (Dezember 2021).
- (2015): A time-based analysis of the personalized exhaust system for airborne infection control in healthcare settings. In: Science and Technology for the Built Environment, v. 21, n. 2 (Februar 2015).
- (2016): Forecasting diurnal cooling energy load for institutional buildings using Artificial Neural Networks. In: Energy and Buildings, v. 121 (Juni 2016).
- (2016): Review of occupancy sensing systems and occupancy modeling methodologies for the application in institutional buildings. In: Energy and Buildings, v. 121 (Juni 2016).
- (2016): Energy performance model development and occupancy number identification of institutional buildings. In: Energy and Buildings, v. 123 (Juli 2016).
- (2016): Time series forecasting for building energy consumption using weighted Support Vector Regression with differential evolution optimization technique. In: Energy and Buildings, v. 126 (August 2016).
- (2016): Predicting the CO2 levels in buildings using deterministic and identified models. In: Energy and Buildings, v. 127 (September 2016).
- (2017): k-Shape clustering algorithm for building energy usage patterns analysis and forecasting model accuracy improvement. In: Energy and Buildings, v. 146 (Juli 2017).
- (2017): Anthropogenic heat reduction through retrofitting strategies of campus buildings. In: Energy and Buildings, v. 152 (Oktober 2017).
- (2017): Bayesian calibration of building energy models with large datasets. In: Energy and Buildings, v. 154 (November 2017).
- (2018): Comparison of different occupancy counting methods for single system-single zone applications. In: Energy and Buildings, v. 172 (August 2018).
- (2020): On the potential of building adaptation measures to counterbalance the impact of climatic change in the tropics. In: Energy and Buildings, v. 229 (Dezember 2020).
- (2018): Energy efficient HVAC systems. In: Energy and Buildings, v. 179 (November 2018).
- (2019): Building Energy Consumption Raw Data Forecasting Using Data Cleaning and Deep Recurrent Neural Networks. In: Buildings, v. 9, n. 9 (22 August 2019).
- (2017): Energy utilizability concept as a retrofitting solution selection criterion for buildings. In: Journal of Civil Engineering and Management, v. 23, n. 5 (Mai 2017).
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