| A machine learning-based method for the large-scale evaluation of the qualities of the urban environment L Liu, EA Silva, C Wu, H Wang Computers, environment and urban systems 65, 113-125, 2017 | 281 | 2017 |
| Understanding rural housing abandonment in China's rapid urbanization X Gao, A Xu, L Liu, O Deng, M Zeng, J Ling, Y Wei Habitat International 67, 13-21, 2017 | 98 | 2017 |
| Transformations of urban studies and planning in the big/open data era: A review Y Long, L Liu International Journal of Image and Data Fusion 7 (4), 295-308, 2016 | 49 | 2016 |
| Evaluating the lifestyle impact of China’s rural housing land consolidation with locational big data: A study of Chengdu L Liu, X Gao, J Zhuang, W Wu, B Yang, W Cheng, P Xiao, X Yao, O Deng Land Use Policy 96, 104623, 2020 | 30 | 2020 |
| A new perspective on the temporal pattern of human activities in cities: The case of Shanghai Y Zhang, L Liu, H Wang Cities 87, 196-204, 2019 | 25 | 2019 |
| Similar outcomes, different paths: Tracing the relationship between neighborhood-scale built environment and travel behavior using activity-based modelling L Liu, EA Silva, Z Yang Cities 110, 103061, 2021 | 21 | 2021 |
| Four transformations of Chinese quantitative urban research in the new data environment Y Long, L Liu Urban Planning International 32 (1), 64-73, 2017 | 19 | 2017 |
| A machine learning method for the large-scale evaluation of urban visual environment L Liu, H Wang, C Wu arXiv preprint arXiv:1608.03396, 2016 | 19 | 2016 |
| Understanding temporal pattern of human activities using Temporal Areas of Interest Y Zhang, L Liu Applied geography 94, 95-106, 2018 | 18 | 2018 |
| 大数据时代的智慧城市规划: 国际经验 刘伦， 刘合林， 王谦， 龙瀛 国际城市规划, 38-43, 2014 | 18 | 2014 |
| 城市模型的回顾与展望——访谈麦克· 巴蒂之后的新思考 刘伦， 龙瀛， 麦克， 巴蒂 城市规划 38 (8), 63-70, 2014 | 16 | 2014 |
| Block-level changes in the socio-spatial landscape in Beijing: Trends and processes L Liu, EA Silva, Y Long Urban Studies 56 (6), 1198-1214, 2019 | 15 | 2019 |
| 新数据环境下定量城市研究的四个变革 龙瀛， 刘伦 国际城市规划 32 (1), 64-73, 2017 | 13 | 2017 |
| Hard and soft data integration in geocomputation: Mixed methods for data collection and processing in urban planning EA Silva, L Liu, HR Kwon, H Niu, Y Chen Handbook of planning support science, 37-55, 2020 | 12 | 2020 |
| A retrospect and prospect of urban models: Reflections after interviewing Mike Batty L Liu, Y Long City Planning Review 38 (8), 63-70, 2014 | 9 | 2014 |
| Temporal point pattern analysis of human activities using GIS methods: a case study of library visiting activities in Chengdu city, China Y Zhang, L Liu The Professional Geographer 71 (4), 738-750, 2019 | 7 | 2019 |
| Evacuation simulation and evaluation of different scenarios based on traffic grid model and high performance computing M Li, J Deng, L Liu, Y Long, Z Shen International Review for Spatial Planning and Sustainable Development 3 (3 …, 2015 | 7 | 2015 |
| Using mobile phone data to probe mobility‐related well‐being of rural residents: A case study of Chengdu, China X Gao, L Liu, D Ou, H Yuwu Regional Science Policy & Practice, 2022 | 6 | 2022 |
| How streetscape affects car use: Examining unexamined features of urban environment with fine-grained data L Liu, H Wang, J Duan Cities 132, 104096, 2023 | 5 | 2023 |
| The commuting rural labour forces revealed by mobile phone trace data X Gao, L Liu, J Zhuang, D Ou, Q Li, O Deng, J Li, M Zeng Environment and Planning A: Economy and Space 51 (8), 1611-1614, 2019 | 5 | 2019 |
