Changes in life expectancy and house prices in London from 2002 to 2019: hyper-resolution spatiotemporal analysis of death registration and real estate data
The Lancet Regional Health - Europe, 27, pp. 100580, 2023.
Characterisation of urban environment and activity across space and time using street images and deep learning in Accra
Scientific Reports, 12, iss. 1, pp. 20470, 2022.
Predicting air pollution spatial variation with street-level imagery
Remote Sensing, 14, iss. 14, pp. 3429, 2022.
A deep learning approach for meter-scale air quality estimation in urban environments using very high-spatial-resolution satellite imagery
Atmosphere, 13, iss. 5, pp. 696, 2022.
Multimodal deep learning from satellite and street-level imagery for measuring income, overcrowding, and environmental deprivation in urban areas
Remote Sensing of Environment, 257, pp. 112339, 2021.
Deciphering the recreational use of urban parks: Experiments using multi-source big data for all Chinese cities
Science of the Total Environment, 701, iss. 1, pp. 134896, 2020.
Application of wearable cameras in studying individual behaviors in built environments
Landscape Architecture Frontiers, 7, iss. 2, pp. 22-37, 2019.
Measuring social, environmental and health inequalities using deep learning and street imagery
Scientific Reports, 9, pp. 6229, 2019.
Urban greenness extracted from pedestrian video and its relationship with surrounding air temperatures
Urban Forestry & Urban Greening, 38, iss. 1, pp. 280-285, 2019.
A picture tells a thousand…exposures: Opportunities and challenges of deep learning image analyses in exposure science and environmental epidemiology
Environment International, 122, iss. 1, pp. 3-10, 2019.
Urban form and composition of street canyons: A human-centric big data and deep learning approach
Landscape and Urban Planning, 183, pp. 122-132, 2018.
Sky View Factor footprints for urban climate modeling
Urban Climate, 25, pp. 120-134, 2018.