hengcai zhang
Zitiert von
Zitiert von
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
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
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
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
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
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
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
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
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
Big data and generalized GIS
Geomatics and Information Science of Wuhan University 39 (6), 645-654, 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
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
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
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
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
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
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
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
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
Estimating Beijing's travel delays at intersections with floating car data
X Liu, F Lu, H Zhang, P Qiu
Proceedings of the 5th ACM SIGSPATIAL International Workshop on …, 2012
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