| A ST-CRF map-matching method for low-frequency floating car data X Liu, K Liu, M Li, F Lu IEEE Transactions on Intelligent Transportation Systems 18 (5), 1241-1254, 2016 | 91 | 2016 |
| Visualizing and exploring POI configurations of urban regions on POI-type semantic space K Liu, L Yin, F Lu, N Mou Cities 99, 102610, 2020 | 81 | 2020 |
| Road2vec: Measuring traffic interactions in urban road system from massive travel routes K Liu, S Gao, P Qiu, X Liu, B Yan, F Lu ISPRS International Journal of Geo-Information 6 (11), 321, 2017 | 76 | 2017 |
| Identifying spatial interaction patterns of vehicle movements on urban road networks by topic modelling K Liu, S Gao, F Lu Computers, Environment and Urban Systems 74, 50-61, 2019 | 46 | 2019 |
| Investigating urban metro stations as cognitive places in cities using points of interest K Liu, P Qiu, S Gao, F Lu, J Jiang, L Yin Cities 97, 102561, 2020 | 42 | 2020 |
| Prediction of human activity intensity using the interactions in physical and social spaces through graph convolutional networks M Li, S Gao, F Lu, K Liu, H Zhang, W Tu International Journal of Geographical Information Science 35 (12), 2489-2516, 2021 | 39 | 2021 |
| 大数据时代的人类移动性研究 陆锋， 刘康， 陈洁 地球信息科学学报 16 (5), 665-672, 2014 | 35 | 2014 |
| Modeling the heterogeneous traffic correlations in urban road systems using traffic-enhanced community detection approach F Lu, K Liu, Y Duan, S Cheng, F Du Physica A: Statistical Mechanics and its Applications 501, 227-237, 2018 | 33 | 2018 |
| A data driven agent-based model that recommends non-pharmaceutical interventions to suppress Coronavirus disease 2019 resurgence in megacities L Yin, H Zhang, Y Li, K Liu, T Chen, W Luo, S Lai, Y Li, X Tang, L Ning, ... Journal of the Royal Society Interface 18 (181), 20210112, 2021 | 30 | 2021 |
| Investigating physical encounters of individuals in urban metro systems with large-scale smart card data K Liu, L Yin, Z Ma, F Zhang, J Zhao Physica A: Statistical Mechanics and its Applications 545, 123398, 2020 | 21 | 2020 |
| Exploring park visit variability using cell phone data in Shenzhen, China B He, J Hu, K Liu, J Xue, L Ning, J Fan Remote Sensing 14 (3), 499, 2022 | 14 | 2022 |
| Facilitating fine-grained intra-urban dengue forecasting by integrating urban environments measured from street-view images K Liu, L Yin, M Zhang, M Kang, AP Deng, QL Li, T Song Infectious Diseases of Poverty 10, 1-16, 2021 | 12 | 2021 |
| Modeling spatial nonstationarity via deformable convolutions for deep traffic flow prediction W Zeng, C Lin, K Liu, J Lin, AKH Tung IEEE Transactions on Knowledge and Data Engineering, 2021 | 10 | 2021 |
| Spatial and temporal characteristics of urban tourism travel by taxi—A case study of Shenzhen B He, K Liu, Z Xue, J Liu, D Yuan, J Yin, G Wu ISPRS International Journal of Geo-Information 10 (7), 445, 2021 | 10 | 2021 |
| Effectiveness of contact tracing, mask wearing and prompt testing on suppressing COVID-19 resurgences in megacities: an individual-based modelling study L Yin, H Zhang, Y Li, K Liu, T Chen, W Luo, S Lai, Y Li, X Tang, LI Ning, ... | 9 | 2020 |
| Enhancing fine-grained intra-urban dengue forecasting by integrating spatial interactions of human movements between urban regions K Liu, M Zhang, G Xi, A Deng, T Song, Q Li, M Kang, L Yin PLoS Neglected Tropical Diseases 14 (12), e0008924, 2020 | 8 | 2020 |
| Spatial Variations in Vegetation Greening in 439 Chinese Cities From 2001 to 2020 Based on Moderate Resolution Imaging Spectroradiometer Enhanced Vegetation Index Data B He, D Huang, B Kong, K Liu, C Zhou, L Sun, L Ning Frontiers in Ecology and Evolution 10, 859542, 2022 | 5 | 2022 |
| 基于拓扑与形态特征的城市道路交通状态空间自相关分析 刘康， 段滢滢， 陆锋 地球信息科学学报 16 (3), 390-395, 2014 | 5 | 2014 |
| 上海市精细时空尺度人口分布估计与特征分析 李明晓， 陈洁， 张恒才， 仇培元， 刘康， 陆锋 地球信息科学学报 19 (6), 800-807, 2017 | 4 | 2017 |
| 全球电离层 TEC 数据统计分析与全局趋势分析 刘康， 王枫， 翟旭 测绘通报, 29-32, 2013 | 4 | 2013 |
Feng LuState Key Lab of Resources and Environmental Information System, Chinese Academy of SciencesVerifierad e-postadress på lreis.ac.cn
