| 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 | 336 | 2017 |
| 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 | 186 | 2018 |
| 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 | 149 | 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 | 92 | 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 | 64 | 2021 |
| Characterizing preferred motif choices and distance impacts J Cao, Q Li, W Tu, F Wang Plos one 14 (4), e0215242, 2019 | 56 | 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 | 54 | 2022 |
| 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 | 33 | 2021 |
| Sensing urban dynamics by fusing multi-sourced spatiotemporal big data W TU, J CAO, Q GAO, R CAO, Z FANG, Y YUE, Q LI Geomatics and Information Science of Wuhan University 45 (12), 1875-1883, 2020 | 27 | 2020 |
| Untangling the association between urban mobility and urban elements J Cao, W Tu, R Cao, Q Gao, G Chen, Q Li Geo-spatial Information Science 27 (4), 1071-1089, 2024 | 25 | 2024 |
| 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 | 25 | 2022 |
| 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 | 24 | 2020 |
| Spatio-temporal analysis of aggregated human activities based on massive mobile phone tracking data CAO Jinzhou, TU Wei, LI Qingquan, CAO Rui Journal of Geo-Information Science 19 (4), 467-474, 2017 | 22 | 2017 |
| Real-time scene classification of unmanned aerial vehicles remote sensing image based on Modified GhostNet X Shen, H Wang, B Wei, J Cao PloS one 18 (6), e0286873, 2023 | 18 | 2023 |
| Quantifying seasonal bias in street view imagery for urban form assessment: A global analysis of 40 cities T Zhao, X Liang, F Biljecki, W Tu, J Cao, X Li, S Yi Computers, Environment and Urban Systems 120, 102302, 2025 | 17 | 2025 |
| 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 Geomatics & Information Science of Wuhan University 45 (12), 2020 | 15 | 2020 |
| Disentangling the hourly dynamics of mixed urban function: A multimodal fusion perspective using dynamic graphs J Cao, X Wang, G Chen, W Tu, X Shen, T Zhao, J Chen, Q Li Information Fusion 117, 102832, 2025 | 14 | 2025 |
| 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 | 14 | 2017 |
| Quantifying the nighttime economy–housing separation from a human activity standpoint: A case study in Shenzhen, China M Li, W Tu, H Tong, J Cao, C Zhong, H Zhang, J Zhu, Q Li Cities 148, 104894, 2024 | 12 | 2024 |
| Enhancing terrestrial net primary productivity estimation with EXP-CASA: A novel light use efficiency model approach G Chen, K Zhang, X Zhang, H Xie, H Yang, X Tan, T Wang, Y Ma, Q Wang, ... Remote Sensing of Environment 326, 114790, 2025 | 11 | 2025 |
Wei TuProfessor of Urban Informatics, Shenzhen UniversityVerified email at szu.edu.cn
