| Measurements of POI-based mixed use and their relationships with neighbourhood vibrancy Y Yue, Y Zhuang, AGO Yeh, JY Xie, CL Ma, QQ Li International Journal of Geographical Information Science, 2016 | 503 | 2016 |
| Effects of human mobility restrictions on the spread of COVID-19 in Shenzhen, China: a modelling study using mobile phone data Y Zhou, R Xu, D Hu, Y Yue, Q Li, J Xia The Lancet Digital Health 2 (8), e417-e424, 2020 | 341 | 2020 |
| 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 | 297 | 2017 |
| Spatial variations in urban public ridership derived from GPS trajectories and smart card data W Tu, R Cao, Y Yue, B Zhou, Q Li, Q Li Journal of Transport Geography 69, 45-57, 2018 | 232 | 2018 |
| Zooming into individuals to understand the collective: A review of trajectory-based travel behaviour studies Y Yue, T Lan, AGO Yeh, QQ Li Travel Behaviour and Society 1 (2), 69-78, 2014 | 226 | 2014 |
| Impacts of weather on public transport ridership: Results from mining data from different sources M Zhou, D Wang, Q Li, Y Yue, W Tu, R Cao Transportation research part C: emerging technologies 75, 17-29, 2017 | 223 | 2017 |
| Dijkstra 最短路径算法的一种高效率实现 乐阳， 龚健雅 武汉大学学报 (信息科学版) 24 (3), 208-212, 1999 | 221 | 1999 |
| Mining time-dependent attractive areas and movement patterns from taxi trajectory data Y Yue, Y Zhuang, Q Li, Q Mao 2009 17th international conference on geoinformatics, 1-6, 2009 | 157 | 2009 |
| Identifying Urban Traffic Congestion Pattern from Historical Floating Car Data L Xu, Y Yue, Q Li 13th COTA International Conference of Transportation Professions (CICTP 2013), 2013 | 122 | 2013 |
| Activity identification from GPS trajectories using spatial temporal POIs' attractiveness L Huang, Q Li, Y Yue Proceedings of the 2nd ACM SIGSPATIAL International Workshop on location …, 2010 | 117 | 2010 |
| Exploratory calibration of a spatial interaction model using taxi GPS trajectories Y Yue, H Wang, B Hu, Q Li, Y Li, AGO Yeh Computers, Environment and Urban Systems 36 (2), 140–153, 2012 | 114 | 2012 |
| An improved distance metric for the interpolation of link-based traffic data using kriging: a case study of a large-scale urban road network H Zou, Y Yue, Q Li, AGO Yeh International Journal of Geographical Information Science 26 (4), 667-689, 2012 | 107 | 2012 |
| Spatial variation of self-containment and jobs-housing balance in Shenzhen using cellphone big data X Zhou, AGO Yeh, Y Yue Journal of Transport Geography 68, 102-108, 2018 | 87 | 2018 |
| Challenges and opportunities in exploiting large-scale GPS probe data Y Wang, Y Zhu, Z He, Y Yue, Q Li HP Laboratories, Technical Report HPL-2011-109 21, 2011 | 76 | 2011 |
| Towards a multidimensional view of tourist mobility patterns in cities: A mobile phone data perspective Y Xu, J Xue, S Park, Y Yue Computers, Environment and urban systems 86, 101593, 2021 | 66 | 2021 |
| Spatiotemporal traffic-flow dependency and short-term traffic forecasting Y Yue, AGO Yeh Environment and Planning B: Planning and Design 35 (5), 762-771, 2008 | 66 | 2008 |
| A commuting spectrum analysis of the jobs–housing balance and self-containment of employment with mobile phone location big data X Zhou, AGO Yeh, W Li, Y Yue Environment and Planning B: Urban Analytics and City Science 45 (3), 434-451, 2018 | 65 | 2018 |
| Improving short-term bike sharing demand forecast through an irregular convolutional neural network X Li, Y Xu, X Zhang, W Shi, Y Yue, Q Li Transportation research part C: emerging technologies 147, 103984, 2023 | 56 | 2023 |
| Extracting activity patterns from taxi trajectory data: A two-layer framework using spatio-temporal clustering, Bayesian probability and Monte Carlo simulation S Gong, J Cartlidge, R Bai, Y Yue, Q Li, G Qiu International Journal of Geographical Information Science 34 (6), 1210-1234, 2020 | 44 | 2020 |
| Exploring changes in the spatial distribution of the low-to-moderate income group using transit smart card data QL Gao, QQ Li, Y Yue, Y Zhuang, ZP Chen, H Kong Computers, Environment and Urban Systems 72, 68-77, 2018 | 44 | 2018 |
Li Qing-QuanShenzhen University, Wuhan UniversityDirección de correo verificada de szu.edu.cn
