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