Perceptions of built environment and health outcomes for older Chinese in Beijing: A big data approach with street view images and deep learning technique. - Ruoyu Wang 011; Ye Liu; Yi Lu 012; Jinbao Zhang 001; Penghua Liu; Yao Yao 004; George Grekousis (Comput. Environ. Urban Syst., 2019)

Estimating pedestrian volume using Street View images: A large-scale validation test. - Long Chen; Yi Lu 012; Qiang Sheng 002; Yu Ye 002; Ruoyu Wang 011; Ye Liu (Comput. Environ. Urban Syst., 2020)

Spatially Varying Effects of Street Greenery on Walking Time of Older Adults. - Linchuan Yang; Jixiang Liu; Yuan Liang; Yi Lu 012; Hongtai Yang (ISPRS Int. J. Geo Inf., 2021)

Targeting the spatial context of risk factors associated with heat-related mortality via multiscale geographically weighted regression. - Jinglu Song; Yi Lu 012; Hanchen Yu; Huijuan Lin (Geoinformatics, 2022)

Investigating the spatiotemporal pattern between the built environment and urban vibrancy using big data in Shenzhen, China. - Long Chen; Lingyu Zhao; Yang Xiao; Yi Lu 012 (Comput. Environ. Urban Syst., 2022)

Establishing a citywide street tree inventory with street view images and computer vision techniques. - Dongwei Liu; Yuxiao Jiang; Ruoyu Wang 011; Yi Lu 012 (Comput. Environ. Urban Syst., 2023)

Detecting older pedestrians and aging-friendly walkability using computer vision technology and street view imagery. - Dongwei Liu; Ruoyu Wang 011; George Grekousis; Ye Liu; Yi Lu 012 (Comput. Environ. Urban Syst., 2023)

The association of subjective physical disorder and pedestrian volume: A big urban data and machine-learning approach. - Fangqi Liu; Yi Lu 012; Qiwei Song; Waishan Qiu; Dongwei Liu (Comput. Environ. Urban Syst., 2025)