| Coupling mobile phone and social media data: A new approach to understanding urban functions and diurnal patterns W Tu, J Cao, Y Yue, SL Shaw, M Zhou, Z Wang, X Chang, Y Xu, Q Li International Journal of Geographical Information Science 31 (12), 2331-2358, 2017 | 253 | 2017 |
| Portraying urban functional zones by coupling remote sensing imagery and human sensing data W Tu, Z Hu, L Li, J Cao, J Jiang, Q Li, Q Li Remote sensing 10 (1), 141, 2018 | 113 | 2018 |
| Integrating aerial and street view images for urban land use classification R Cao, J Zhu, W Tu, Q Li, J Cao, B Liu, Q Zhang, G Qiu Remote Sensing 10 (10), 1553, 2018 | 106 | 2018 |
| Extracting trips from multi-sourced data for mobility pattern analysis: An app-based data example F Wang, J Wang, J Cao, C Chen, XJ Ban Transportation Research Part C: Emerging Technologies 105, 183-202, 2019 | 51 | 2019 |
| Resolving urban mobility networks from individual travel graphs using massive-scale mobile phone tracking data J Cao, Q Li, W Tu, Q Gao, R Cao, C Zhong Cities 110, 103077, 2021 | 29 | 2021 |
| Characterizing preferred motif choices and distance impacts J Cao, Q Li, W Tu, F Wang Plos one 14 (4), e0215242, 2019 | 23 | 2019 |
| Coupling graph deep learning and spatial-temporal influence of built environment for short-term bus travel demand prediction T Zhao, Z Huang, W Tu, B He, R Cao, J Cao, M Li Computers, Environment and Urban Systems 94, 101776, 2022 | 21 | 2022 |
| Sensing urban dynamics by fusing multi-sourced spatiotemporal big data W TU, J CAO, Q GAO, R CAO, Z FANG, Y YUE, Q LI 武汉大学学报 (信息科学版) 45 (12), 1875-1883, 2020 | 20 | 2020 |
| Spatio-temporal analysis of aggregated human activities based on massive mobile phone tracking data J Cao, W Tu, Q Li, R Cao Journal of Geo-Information Science 19 (4), 467-474, 2017 | 18 | 2017 |
| Segregation or integration? Exploring activity disparities between migrants and settled urban residents using human mobility data QL Gao, Y Yue, W Tu, J Cao, QQ Li Transactions in GIS 25 (6), 2791-2820, 2021 | 17 | 2021 |
| Scale effect on fusing remote sensing and human sensing to portray urban functions W Tu, Y Zhang, Q Li, K Mai, J Cao IEEE Geoscience and Remote Sensing Letters 18 (1), 38-42, 2020 | 16 | 2020 |
| 融合多源时空大数据感知城市动态 涂伟， 曹劲舟， 高琦丽， 曹瑞， 方志祥， 乐阳， 李清泉 武汉大学学报 (信息科学版) 45 (12), 1875-1883, 2020 | 11 | 2020 |
| 基于大规模手机定位数据的群体活动时空特征分析 曹劲舟， 涂伟， 李清泉， 曹瑞 地球信息科学学报 19 (4), 467-474, 2017 | 11 | 2017 |
| Exploring the distribution and dynamics of functional regions using mobile phone data and social media data J Cao, W Tu, Q Li, M Zhou, R Cao Proceedings of the 14th International Conference on Computers in Urban …, 2015 | 9 | 2015 |
| A study of users’ movements based on check-in data in location-based social networks J Cao, Q Hu, Q Li Web and Wireless Geographical Information Systems: 13th International …, 2014 | 8 | 2014 |
| Comparison of urban human movements inferring from multi-source spatial-temporal data R Cao, W Tu, J Cao, Q Li The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2016 | 4 | 2016 |
| 基于微博位置签到数据的 POI 更新方法 曹劲舟， 武红宇 地理空间信息, 15-18, 2013 | 4 | 2013 |
| Revealing transport inequality from an activity space perspective: A study based on human mobility data QL Gao, Y Yue, C Zhong, J Cao, W Tu, QQ Li Cities 131, 104036, 2022 | 2 | 2022 |
| Machine learning-based economic development mapping from multi-source open geospatial data R Cao, W Tu, J Cai, T Zhao, J Xiao, J Cao, Q Gao, H Su ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2022 | 1 | 2022 |
| 大数据驱动的个体出行模式与城市空间结构交互研究 曹劲舟 Cehui Xuebao 50 (6), 849, 2021 | 1 | 2021 |
Wei TuShenzhen University在 szu.edu.cn 的电子邮件经过验证
