- Interpretable spatial machine learning insights into urban sanitation challenges: A case study of human feces distribution in San Francisco. Dans: Sustainable Cities and Society, v. 113 (octobre 2024). (2024):
- Improving the frost-resistance performance of supersulfated cement by reducing the crystalline-to-gel ratio through the addition of nano-SiO2. Dans: Construction and Building Materials, v. 424 (avril 2024). (2024):
- Effect of chloride salt migration at interfaces on asphalt-aggregate adhesion: A molecular dynamics study. Dans: Construction and Building Materials, v. 428 (mai 2024). (2024):
- Exploring the spatiotemporal patterns and correlates of urban vitality: Temporal and spatial heterogeneity. Dans: Sustainable Cities and Society, v. 91 (avril 2023). (2023):
- A UAV-based explore-then-exploit system for autonomous indoor facility inspection and scene reconstruction. Dans: Automation in Construction, v. 148 (avril 2023). (2023):
- Social Factors and Residential Satisfaction under Urban Renewal Background: A Comparative Case Study in Chongqing, China. Dans: Journal of Urban Planning and Development, v. 148, n. 4 (décembre 2022). (2022):
- Rethinking the link between the availability of neighborhood PA facilities and PA behavior: A comparison between private and public housing. Dans: Building and Environment, v. 207 (janvier 2022). (2022):
- Mobile projective augmented reality for collaborative robots in construction. Dans: Automation in Construction, v. 127 (juillet 2021). (2021):
- The distribution of greenspace quantity and quality and their association with neighbourhood socioeconomic conditions in Guangzhou, China: A new approach using deep learning method and street view images. Dans: Sustainable Cities and Society, v. 66 (mars 2021). (2021):
- Association between street greenery and walking behavior in older adults in Hong Kong. Dans: Sustainable Cities and Society, v. 51 (novembre 2019). (2019):
- Global and local associations between urban greenery and travel propensity of older adults in Hong Kong. Dans: Sustainable Cities and Society, v. 63 (décembre 2020). (2020):
- Relationship between eye-level greenness and cycling frequency around metro stations in Shenzhen, China: A big data approach. Dans: Sustainable Cities and Society, v. 59 (août 2020). (2020):