| Exploring spatio-temporal changes of city inbound tourism flow: The case of Shanghai, China N Mou, R Yuan, T Yang, H Zhang, JJ Tang, T Makkonen Tourism management 76, 103955, 2020 | 123 | 2020 |
| 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 | 76 | 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 | 70 | 2018 |
| Density-based clustering for data containing two types of points T Pei, W Wang, H Zhang, T Ma, Y Du, C Zhou International Journal of Geographical Information Science 29 (2), 175-193, 2015 | 51 | 2015 |
| 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 | 50 | 2020 |
| Intersection delay estimation from floating car data via principal curves: a case study on Beijing’s road network X Liu, F Lu, H Zhang, P Qiu Frontiers of earth science 7, 206-216, 2013 | 43 | 2013 |
| 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 | 40 | 2021 |
| Impact of oil price fluctuations on tanker maritime network structure and traffic flow changes H Yu, Z Fang, F Lu, AT Murray, H Zhang, P Peng, Q Mei, J Chen Applied energy 237, 390-403, 2019 | 38 | 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 | 28 | 2019 |
| Big data and generalized GIS F LU, H ZHANG Geomatics and Information Science of Wuhan University 39 (6), 645-654, 2014 | 24 | 2014 |
| A hybrid Markov and LSTM model for indoor location prediction P Wang, H Wang, H Zhang, F Lu, S Wu IEEE Access 7, 185928-185940, 2019 | 23 | 2019 |
| Review on the Application Research of Trajectory Data Mining in Urban Cities N Mou, H Zhang, J Chen, L Zhang, HA Dai J. Geo-Inf. Sci 17, 1136-1142, 2015 | 21 | 2015 |
| Computing turn delay in city road network with GPS collected trajectories H Zhang, F Lu, L Zhou, Y Duan Proceedings of the 2011 international workshop on Trajectory data mining and …, 2011 | 18 | 2011 |
| Indoor location prediction method for shopping malls based on location sequence similarity P Wang, S Wu, H Zhang, F Lu ISPRS International Journal of Geo-Information 8 (11), 517, 2019 | 15 | 2019 |
| Predicting future locations with deep fuzzy-LSTM network LI Mingxiao, Z Hengcai, QIU Peiyuan, C Shifen, C Jie, LU Feng Acta Geodaetica et Cartographica Sinica 47 (12), 1660, 2018 | 12 | 2018 |
| The impact of slumping oil price on the situation of tanker shipping along the maritime silk road N Mou, Y Xie, T Yang, H Zhang, YR Kim Sustainability 11 (17), 4796, 2019 | 11 | 2019 |
| Evaluation on location advantages of the ports along the Maritime Silk Road NX Mou, MD Liao, HC Zhang, X Fu, P Peng, XL Liu Journal of Geo-Information Science 20 (5), 613-622, 2018 | 11 | 2018 |
| Association rule mining method based on the similarity metric of tuple-relation in indoor environment N Mou, H Wang, H Zhang, X Fu IEEE Access 8, 52041-52051, 2020 | 10 | 2020 |
| A review of the mobile trajectory clustering methods MOU Naixia, XU Yujing, Z Hengcai, C Jie, Z Lingxian, LIU Xiliang Bulletin of Surveying and Mapping, 1, 2018 | 10 | 2018 |
| Evaluation on competitiveness of important ports along the Maritime Silk Road R Yang, N Mou, P Peng, XL Liu, HC Zhang, F Lu Journal of Geo-information Science 20 (05), 623-631, 2018 | 10 | 2018 |
