| A comparative analysis of image fusion methods Z Wang, D Ziou, C Armenakis, D Li, Q Li IEEE transactions on geoscience and remote sensing 43 (6), 1391-1402, 2005 | 1194 | 2005 |
| CrackTree: Automatic crack detection from pavement images Q Zou, Y Cao, Q Li, Q Mao, S Wang Pattern Recognition Letters 33 (3), 227-238, 2012 | 1153 | 2012 |
| Deepcrack: Learning hierarchical convolutional features for crack detection Q Zou, Z Zhang, Q Li, X Qi, Q Wang, S Wang IEEE transactions on image processing 28 (3), 1498-1512, 2018 | 891 | 2018 |
| 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 31 (4), 658-675, 2017 | 509 | 2017 |
| A sensor-fusion drivable-region and lane-detection system for autonomous vehicle navigation in challenging road scenarios Q Li, L Chen, M Li, SL Shaw, A Nüchter IEEE Transactions on Vehicular Technology 63 (2), 540-555, 2013 | 452 | 2013 |
| A novel ranking-based clustering approach for hyperspectral band selection S Jia, G Tang, J Zhu, Q Li IEEE Transactions on Geoscience and Remote Sensing 54 (1), 88-102, 2015 | 371 | 2015 |
| Optimizing the locations of electric taxi charging stations: A spatial–temporal demand coverage approach W Tu, Q Li, Z Fang, S Shaw, B Zhou, X Chang Transportation Research Part C: Emerging Technologies 65, 172-189, 2016 | 348 | 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 | 345 | 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 | 301 | 2017 |
| Accessibility impacts of China’s high-speed rail network J Cao, XC Liu, Y Wang, Q Li Journal of Transport Geography 28, 12-21, 2013 | 299 | 2013 |
| Deep learning-based gait recognition using smartphones in the wild Q Zou, Y Wang, Q Wang, Y Zhao, Q Li IEEE Transactions on Information Forensics and Security 15, 3197-3212, 2020 | 290 | 2020 |
| A comparative analysis of LiDAR SLAM-based indoor navigation for autonomous vehicles Q Zou, Q Sun, L Chen, B Nie, Q Li IEEE Transactions on Intelligent Transportation Systems 23 (7), 6907-6921, 2021 | 261 | 2021 |
| 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 | 236 | 2018 |
| 一种三维 GIS 混合数据结构研究 李德仁， 李清泉 测绘学报 26 (2), 128-133, 1997 | 231* | 1997 |
| 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 | 228 | 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 |
| Map-matching algorithm for large-scale low-frequency floating car data BY Chen, H Yuan, Q Li, WHK Lam, SL Shaw, K Yan International Journal of Geographical Information Science 28 (1), 22-38, 2014 | 208 | 2014 |
| Vulnerability analysis for large-scale and congested road networks with demand uncertainty BY Chen, WHK Lam, A Sumalee, Q Li, ZC Li Transportation Research Part A: Policy and Practice 46 (3), 501-516, 2012 | 207 | 2012 |
| Novel approach to pavement image segmentation based on neighboring difference histogram method Q Li, X Liu 2008 congress on image and signal processing 2, 792-796, 2008 | 204 | 2008 |
| 论空间信息与移动通信的集成应用 李德仁， 李清泉， 谢智颖， 朱欣焰 武汉大学学报 (信息科学版) 27 (1), 1-8, 2002 | 203 | 2002 |
Wei TuProfessor of Urban Informatics, Shenzhen UniversityBestätigte E-Mail-Adresse bei szu.edu.cn
