Hong-di He 
- (2023): Quantifying the effects of urban fabric and vegetation combination pattern to mitigate particle pollution in near-road areas using machine learning. In: Sustainable Cities and Society, v. 93 (Juni 2023).
- (2022): Three-dimensional diffusion patterns of traffic-related air pollutants on the roadside based on unmanned aerial vehicles monitoring. In: Building and Environment, v. 219 (Juli 2022).
- (2022): Spatial distributions of particulate matter in neighborhoods along the highway using unmanned aerial vehicle in Shanghai. In: Building and Environment, v. 211 (März 2022).
- (2022): Distribution characteristics of submicron particle influenced by vegetation in residential areas using instrumented unmanned aerial vehicle measurements. In: Sustainable Cities and Society, v. 78 (März 2022).
- (2022): Spatiotemporal variations of carbon dioxide (CO2) at Urban neighborhood scale: Characterization of distribution patterns and contributions of emission sources. In: Sustainable Cities and Society, v. 78 (März 2022).
- (2022): Prediction of air pollutants on roadside of the elevated roads with combination of pollutants periodicity and deep learning method. In: Building and Environment, v. 207 (Januar 2022).
- (2021): Vertical distribution characteristics of particulate matter beside an elevated expressway by unmanned aerial vehicle measurements. In: Building and Environment, v. 206 (Dezember 2021).
- (2021): Spatiotemporal analysis of pedestrian exposure to submicron and coarse particulate matter on crosswalk at urban intersection. In: Building and Environment, v. 204 (Oktober 2021).
- (2021): Characterizing the interruption-recovery patterns of urban air pollution under the COVID-19 lockdown in China. In: Building and Environment, v. 205 (November 2021).
- (2021): Characterizing spatiotemporal distributions of black carbon and PM2.5 at a toll station: Observations on manual and electronic toll collection lanes. In: Building and Environment, v. 199 (Juli 2021).
- (2021): Impact of the COVID-19 lockdown on roadside traffic-related air pollution in Shanghai, China. In: Building and Environment, v. 194 (Mai 2021).
- (2020): Characterizing temporal and vertical distribution patterns of traffic-emitted pollutants near an elevated expressway in urban residential areas. In: Building and Environment, v. 172 (April 2020).
- (2018): Fine-scale variations in PM2.5 and black carbon concentrations and corresponding influential factors at an urban road intersection. In: Building and Environment, v. 141 (August 2018).
- (2018): Prediction of PM2.5 concentration based on the similarity in air quality monitoring network. In: Building and Environment, v. 137 (Juni 2018).
- (2014): Detrended fluctuation analysis of particle number concentrations on roadsides in Hong Kong. In: Building and Environment, v. 82 (Dezember 2014).
- (2014): Prediction of particulate matter at street level using artificial neural networks coupling with chaotic particle swarm optimization algorithm. In: Building and Environment, v. 78 (August 2014).
- (2012): Decomposition of pollution contributors to urban ozone levels concerning regional and local scales. In: Building and Environment, v. 49 (März 2012).
- (2011): Assessing air quality in Hong Kong: A proposed, revised air pollution index (API). In: Building and Environment, v. 46, n. 12 (Dezember 2011).
- (2011): Performance assessment of air quality monitoring networks using principal component analysis and cluster analysis. In: Building and Environment, v. 46, n. 3 (März 2011).
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