Big data and urban system model - Substitutes or complements? A case study of modelling commuting patterns in Beijing. - Li Wan 006; Shuo Gao; Chen Wu; Ying Jin 011; Mingrui Mao; Lei Yang (Comput. Environ. Urban Syst., 2018)

"Reading" cities with computer vision: a new multi-spatial scale urban fabric dataset and a novel convolutional neural network solution for urban fabric classification tasks. - Zhou Fang; Jiaxin Qi; Tianren Yang; Li Wan 006; Ying Jin 011 (SIGSPATIAL/GIS, 2020)

Exploring Resilient Observability in Traffic-Monitoring Sensor Networks: A Study of Spatial-Temporal Vehicle Patterns. - Junqing Tang; Li Wan 006; Timea Nochta; Jennifer Schooling; Tianren Yang (ISPRS Int. J. Geo Inf., 2020)

Predicting human mobility flows in response to extreme urban floods: A hybrid deep learning model considering spatial heterogeneity. - Junqing Tang; Jing Wang; Jiaying Li; Pengjun Zhao; Wei Lyu; Wei Zhai; Li Yuan; Li Wan 006; Chenyu Yang (Comput. Environ. Urban Syst., 2024)