Modeling Spatial Effect in Residential Burglary: A Case Study from ZG City, China. - Jianguo Chen 001; Lin Liu 005; Suhong Zhou; Luzi Xiao; Guangwen Song; Fang Ren (ISPRS Int. J. Geo Inf., 2017)

Journey-to-Crime Distances of Residential Burglars in China Disentangled: Origin and Destination Effects. - Luzi Xiao; Lin Liu 005; Guangwen Song; Stijn Ruiter; Suhong Zhou (ISPRS Int. J. Geo Inf., 2018)

Burglars blocked by barriers? The impact of physical and social barriers on residential burglars' target location choices in China. - Luzi Xiao; Stijn Ruiter; Lin Liu 005; Guangwen Song; Suhong Zhou (Comput. Environ. Urban Syst., 2021)

Using Google Street View imagery to capture micro built environment characteristics in drug places, compared with street robbery. - Hanlin Zhou; Lin Liu 005; Minxuan Lan; Weili Zhu; Guangwen Song; Fengrui Jing; Yanran Zhong; Zihan Su; Xin Gu (Comput. Environ. Urban Syst., 2021)

Interpretable machine learning models for crime prediction. - Xu Zhang; Lin Liu 005; Minxuan Lan; Guangwen Song; Luzi Xiao; Jianguo Chen 001 (Comput. Environ. Urban Syst., 2022)

Influence of Varied Ambient Population Distribution on Spatial Pattern of Theft from the Person: The Perspective from Activity Space. - Guangwen Song; Chunxia Zhang; Luzi Xiao; Zhuoting Wang; Jianguo Chen 001; Xu Zhang (ISPRS Int. J. Geo Inf., 2022)

Explaining Theft Using Offenders' Activity Space Inferred from Residents' Mobile Phone Data. - Lin Liu 005; Chenchen Li; Luzi Xiao; Guangwen Song (ISPRS Int. J. Geo Inf., 2023)

The Impact of Residents' Daily Internet Activities on the Spatial Distribution of Online Fraud: An Analysis Based on Mobile Phone Application Usage. - Guangwen Song; Jiajun Liang; Linlin Wu; Lin Liu 005; Chunxia Zhang (ISPRS Int. J. Geo Inf., 2025)