| T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction L Zhao, Y Song, C Zhang, Y Liu, P Wang, T Lin, M Deng, H Li IEEE Transactions on Intelligent Transportation Systems 21 (9), 3848-3858, 2020 | 2721 | 2020 |
| Geographic information system: Principles, methods and applications L Wu, Y Liu, J Zhang, XJ Ma, ZY Wei, Y Tian Beijing: Science Press, 2001 | 2079* | 2001 |
| Social Sensing: A New Approach to Understanding Our Socioeconomic Environments Y Liu, X Liu, S Gao, L Gong, C Kang, Y Zhi, G Chi, L Shi Annals of the Association of American Geographers 105 (3), 512-530, 2015 | 890 | 2015 |
| The promises of big data and small data for travel behavior (aka human mobility) analysis C Chen, J Ma, Y Susilo, Y Liu, M Wang Transportation Research Part C: Emerging Technologies 68, 285-299, 2016 | 739 | 2016 |
| Measuring human perceptions of a large-scale urban region using machine learning F Zhang, B Zhou, L Liu, Y Liu, HH Fung, H Lin, C Ratti Landscape and Urban Planning 180, 148-160, 2018 | 572 | 2018 |
| Urban land uses and traffic ‘source-sink areas’: Evidence from GPS-enabled taxi data in Shanghai Y Liu, F Wang, Y Xiao, S Gao Landscape and Urban Planning 106, 73-87, 2012 | 516 | 2012 |
| Uncovering patterns of inter-urban trip and spatial interaction from social media check-in data Y Liu, Z Sui, C Kang, Y Gao PLoS ONE 9 (1), e86026, 2014 | 483 | 2014 |
| Revealing travel patterns and city structure with taxi trip data X Liu, L Gong, Y Gong, Y Liu Journal of Transport Geography 43, 78-90, 2015 | 481 | 2015 |
| Understanding intra-urban trip patterns from taxi trajectory data Y Liu, C Kang, S Gao, Y Xiao, Y Tian Journal of Geographical Systems 14 (4), 464-483, 2012 | 405 | 2012 |
| Correlating mobile phone usage and travel behavior-A case study of Harbin, China Y Yuan, M Raubal, Y Liu Computers, Environment and Urban Systems 36 (2), 118-130, 2012 | 327 | 2012 |
| Intra-urban human mobility patterns: An urban morphology perspective C Kang, X Ma, D Tong, Y Liu Physica A: Statistical Mechanics and its Applications 391 (4), 1702-1717, 2012 | 304 | 2012 |
| Discovering spatial interaction communities from mobile phone data S Gao, Y Liu, Y Wang, X Ma Transactions in GIS 17 (3), 463-481, 2013 | 290 | 2013 |
| Inferring trip purposes and uncovering travel patterns from taxi trajectory data L Gong, X Liu, L Wu, Y Liu Cartography and Geographic Information Science 43 (2), 103-114, 2016 | 279 | 2016 |
| Intra-Urban Human Mobility and Activity Transition: Evidence from Social Media Check-In Data L Wu, Y Zhi, Z Sui, Y Liu PLoS ONE 9 (5), e97010, 2014 | 271 | 2014 |
| Understanding urban traffic-flow characteristics: a rethinking of betweenness centrality S Gao, Y Wang, Y Gao, Y Liu Environment and Planning B: Planning and Design 40, 135-153, 2013 | 238 | 2013 |
| A review of urban physical environment sensing using street view imagery in public health studies Y Kang, F Zhang, S Gao, H Lin, Y Liu Annals of GIS 26 (3), 261-275, 2020 | 226 | 2020 |
| Everyday space–time geographies: using mobile phone-based sensor data to monitor urban activity in Harbin, Paris, and Tallinn R Ahas, A Aasa, Y Yuan, M Raubal, Z Smoreda, Y Liu, C Ziemlicki, M Tiru, ... International Journal of Geographical Information Science 29 (11), 2017-2039, 2015 | 194 | 2015 |
| Social sensing from street-level imagery: A case study in learning spatio-temporal urban mobility patterns F Zhang, L Wu, D Zhu, Y Liu ISPRS Journal of Photogrammetry and Remote Sensing 153, 48-58, 2019 | 182 | 2019 |
| Incorporating spatial interaction patterns in classifying and understanding urban land use X Liu, C Kang, L Gong, Y Liu International Journal of Geographical Information Science 30 (2), 334-350, 2016 | 169 | 2016 |
| Spatial interpolation using conditional generative adversarial neural networks D Zhu, X Cheng, F Zhang, X Yao, Y Gao, Y Liu International Journal of Geographical Information Science 34 (4), 735-758, 2020 | 165 | 2020 |
Chaogui KangChina University of GeosciencesVerified email at whu.edu.cn
