| Acceptability, energy consumption, and costs of electric vehicle for ride-hailing drivers in Beijing W Tu, P Santi, T Zhao, X He, Q Li, L Dong, TJ Wallington, C Ratti Applied Energy 250, 147-160, 2019 | 82 | 2019 |
| OCD: Online crowdsourced delivery for on-demand food W Tu, T Zhao, B Zhou, J Jiang, J Xia, Q Li IEEE Internet of Things Journal 7 (8), 6842-6854, 2019 | 50 | 2019 |
| Detecting spatiotemporal features and rationalities of urban expansions within the Guangdong–Hong Kong–Macau Greater Bay Area of China from 1987 to 2017 using time-series … C Yang, Q Li, T Zhao, H Liu, W Gao, T Shi, M Guan, G Wu Remote Sensing 11 (19), 2215, 2019 | 39 | 2019 |
| Sensing urban soundscapes from street view imagery T Zhao, X Liang, W Tu, Z Huang, F Biljecki Computers, Environment and Urban Systems 99, 101915, 2023 | 29 | 2023 |
| 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 | 25 | 2022 |
| Semantic Riverscapes: Perception and evaluation of linear landscapes from oblique imagery using computer vision J Luo, T Zhao, L Cao, F Biljecki Landscape and Urban Planning 228, 104569, 2022 | 23 | 2022 |
| Optimizing living material delivery during the COVID-19 outbreak T Zhao, W Tu, Z Fang, X Wang, Z Huang, S Xiong, M Zheng IEEE Transactions on Intelligent Transportation Systems 23 (7), 6709-6719, 2021 | 15 | 2021 |
| Revealing spatio-temporal evolution of urban visual environments with street view imagery X Liang, T Zhao, F Biljecki Landscape and Urban Planning 237, 104802, 2023 | 14 | 2023 |
| Towards human-centric digital twins: Leveraging computer vision and graph models to predict outdoor comfort P Liu, T Zhao, J Luo, B Lei, M Frei, C Miller, F Biljecki Sustainable Cities and Society 93, 104480, 2023 | 12 | 2023 |
| Water View Imagery: Perception and evaluation of urban waterscapes worldwide J Luo, T Zhao, L Cao, F Biljecki Ecological Indicators 145, 109615, 2022 | 11 | 2022 |
| Characteristics and trends of hillside urbanization in China from 2007 to 2017 C Yang, W Guo, C Zhang, A Cui, X Li, T Zhao, H Liu, T Shi, G Xu, X Fang, ... Habitat International 120, 102502, 2022 | 11 | 2022 |
| Sensitivity of measuring the urban form and greenery using street-level imagery: A comparative study of approaches and visual perspectives F Biljecki, T Zhao, X Liang, Y Hou International Journal of Applied Earth Observation and Geoinformation 122 …, 2023 | 10 | 2023 |
| Sensing urban vibrancy using geo-tagged data T Zhu, W Tu, Y Le, C Zhong, T Zhao, Q Li, Q Li Acta Geod. Cartogr. Sin 49, 365-374, 2020 | 10 | 2020 |
| Local climate zones: Lessons from singapore and potential improvement with street view imagery M Ignatius, R Xu, Y Hou, X Liang, T Zhao, S Chen, NH Wong, F Biljecki ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2022 | 9 | 2022 |
| Incorporating multimodal context information into traffic speed forecasting through graph deep learning Y Zhang, T Zhao, S Gao, M Raubal International Journal of Geographical Information Science 37 (9), 1909-1935, 2023 | 8 | 2023 |
| Fine-grained crowd distribution forecasting with multi-order spatial interactions using mobile phone data M Li, S Gao, P Qiu, W Tu, F Lu, T Zhao, Q Li Transportation Research Part C: Emerging Technologies 144, 103908, 2022 | 7 | 2022 |
| Understanding ridesourcing mobility and the future of electrification: a comparative study in Beijing W Tu, P Santi, X He, T Zhao, X Liu, Q Li, TJ Wallington, GA Keoleian, ... Journal of Urban Technology 28 (1-2), 217-236, 2021 | 7 | 2021 |
| Uncovering online sharing vehicle mobility patterns from massive GPS trajectories W Tu, C Wei, T Zhao, Q Li, C Zhong, Q Li Spatial Synthesis: Computational Social Science and Humanities, 413-429, 2020 | 7 | 2020 |
| Understanding Housing Prices Using Geographic Big Data: A Case Study in Shenzhen X Jiang, Z Jia, L Li, T Zhao Sustainability 14 (9), 5307, 2022 | 6 | 2022 |
| Developing a multiview spatiotemporal model based on deep graph neural networks to predict the travel demand by bus T Zhao, Z Huang, W Tu, F Biljecki, L Chen International Journal of Geographical Information Science 37 (7), 1555-1581, 2023 | 4 | 2023 |
Wei TuProfessor of Urban Informatics, Shenzhen UniversityVerified email at szu.edu.cn
