| Multiscale dynamic human mobility flow dataset in the US during the COVID-19 epidemic Y Kang, S Gao, Y Liang, M Li, J Rao, J Kruse Scientific data 7 (1), 390, 2020 | 127 | 2020 |
| 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 | 76 | 2016 |
| Reconstruction of human movement trajectories from large-scale low-frequency mobile phone data M Li, S Gao, F Lu, H Zhang Computers, Environment and Urban Systems 77, 101346, 2019 | 56 | 2019 |
| Fine-grained prediction of urban population using mobile phone location data J Chen, T Pei, SL Shaw, F Lu, M Li, S Cheng, X Liu, H Zhang International Journal of Geographical Information Science 32 (9), 1770-1786, 2018 | 56 | 2018 |
| Predicting future locations of moving objects with deep fuzzy-LSTM networks M Li, F Lu, H Zhang, J Chen Transportmetrica A: Transport Science 16 (1), 119-136, 2020 | 35 | 2020 |
| Predicting the spatiotemporal legality of on-street parking using open data and machine learning S Gao, M Li, Y Liang, J Marks, Y Kang, M Li Annals of GIS 25 (4), 299-312, 2019 | 26 | 2019 |
| Dynamic estimation of individual exposure levels to air pollution using trajectories reconstructed from mobile phone data M Li, S Gao, F Lu, H Tong, H Zhang International journal of environmental research and public health 16 (22), 4522, 2019 | 24 | 2019 |
| 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 | 10 | 2021 |
| A privacy‐preserving framework for location recommendation using decentralized collaborative machine learning J Rao, S Gao, M Li, Q Huang Transactions in GIS 25 (3), 1153-1175, 2021 | 8 | 2021 |
| Optimization on arrangement of precaution areas serving for ships’ routeing in the Taiwan strait based on massive AIS data J Chen, F Lu, M Li, P Huang, X Liu, Q Mei Data Mining and Big Data: First International Conference, DMBD 2016, Bali …, 2016 | 6 | 2016 |
| 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 | 5 | 2022 |
| An enhanced model for evacuation vulnerability assessment in urban areas J Chen, T Pei, M Li, C Song, T Ma, F Lu, SL Shaw Computers, Environment and Urban Systems 84, 101540, 2020 | 5 | 2020 |
| Fine-grained dynamic population mapping method based on large-scale sparse mobile phone data M Li, H Zhang, J Chen 2019 20th IEEE International Conference on Mobile Data Management (MDM), 473-478, 2019 | 5 | 2019 |
| 一种基于模糊长短期神经网络的移动对象轨迹预测算法 李明晓， 张恒才， 仇培元， 程诗奋， 陈洁， 陆锋 测绘学报, 2018 | 5 | 2018 |
| 海上主航迹带边界统计推断与海西航路警戒区布局优化分析 陈金海， 陆锋， 李明晓 地球信息科学学报 17 (10), 1196-1206, 2015 | 4 | 2015 |
| A data-driven approach to understanding and predicting the spatiotemporal availability of street parking M Li, S Gao, Y Liang, J Marks, Y Kang, M Li Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances …, 2019 | 3 | 2019 |
| 基于手机定位数据的城市人口分布近实时预测 陈丽娜， 吴升， 陈洁， 李明晓， 陆锋 地球信息科学学报 20 (4), 523-531, 2018 | 3 | 2018 |
| 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 | 3 | 2017 |
| A holistic framework of geographical semantic web aligning L Yu, X Liu, M Li, P Peng, F Lu Proceedings of the 10th Workshop on Geographic Information Retrieval, 1-10, 2016 | 3 | 2016 |
| Correlation analysis between nighttime light data and socioeconomic factors on fine scales C Liu, C Wang, Y Xu, C Liu, M Li, D Zhang, G Liu, W Li, Q Zhang, Q Li IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2022 | 2 | 2022 |
Song GaoAssociate Professor of Geographic Information Science, University of Wisconsin-MadisonE-mailová adresa ověřena na: wisc.edu
