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Ling Yin (尹凌)
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引用次数
引用次数
年份
A mathematical model for simulating the phase-based transmissibility of a novel coronavirus
TM Chen, J Rui, QP Wang, ZY Zhao, JA Cui, L Yin
Infectious diseases of poverty 9 (01), 18-25, 2020
10682020
Understanding aggregate human mobility patterns using passive mobile phone location data: A home-based approach
Y Xu, SL Shaw, Z Zhao, L Yin, Z Fang, Q Li
Transportation 42, 625-646, 2015
1772015
Understanding the bias of call detail records in human mobility research
Z Zhao, SL Shaw, Y Xu, F Lu, J Chen, L Yin
International Journal of Geographical Information Science 30 (9), 1738-1762, 2016
1672016
Another tale of two cities: Understanding human activity space using actively tracked cellphone location data
Y Xu, SL Shaw, Z Zhao, L Yin, F Lu, J Chen, Z Fang, Q Li
Geographies of mobility, 246-258, 2018
1472018
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
852020
Traffic management and forecasting system based on 3d gis
X Li, Z Lv, J Hu, B Zhang, L Yin, C Zhong, W Wang, S Feng
2015 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2015
852015
A five-compartment model of age-specific transmissibility of SARS-CoV-2
ZY Zhao, YZ Zhu, JW Xu, SX Hu, QQ Hu, Z Lei, J Rui, XC Liu, Y Wang, ...
Infectious diseases of poverty 9, 1-15, 2020
752020
WebVRGIS based traffic analysis and visualization system
X Li, Z Lv, W Wang, B Zhang, J Hu, L Yin, S Feng
Advances in Engineering Software 93, 1-8, 2016
652016
Potential effects of ICT on face-to-face meeting opportunities: a GIS-based time-geographic approach
L Yin, SL Shaw, H Yu
Journal of Transport Geography 19 (3), 422-433, 2011
642011
Understanding spatiotemporal patterns of human convergence and divergence using mobile phone location data
X Yang, Z Fang, Y Xu, SL Shaw, Z Zhao, L Yin, T Zhang, Y Lin
ISPRS International Journal of Geo-Information 5 (10), 177, 2016
632016
Understanding the spatial structure of urban commuting using mobile phone location data: a case study of Shenzhen, China
X Yang, Z Fang, L Yin, J Li, Y Zhou, S Lu
Sustainability 10 (5), 1435, 2018
542018
Spatiotemporal model for assessing the stability of urban human convergence and divergence patterns
Z Fang, X Yang, Y Xu, SL Shaw, L Yin
International Journal of Geographical Information Science 31 (11), 2119-2141, 2017
532017
Understanding the representativeness of mobile phone location data in characterizing human mobility indicators
S Lu, Z Fang, X Zhang, SL Shaw, L Yin, Z Zhao, X Yang
ISPRS International Journal of Geo-Information 6 (1), 7, 2017
502017
Can TODness improve (expected) performances of TODs? An exploration facilitated by non-traditional data
J Zhou, Y Yang, P Gu, L Yin, F Zhang, F Zhang, D Li
Transportation Research Part D: Transport and Environment 74, 28-47, 2019
432019
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
422020
Exploring space–time paths in physical and social closeness spaces: a space–time GIS approach
L Yin, SL Shaw
International Journal of Geographical Information Science 29 (5), 742-761, 2015
412015
Mining daily activity chains from large-scale mobile phone location data
L Yin, N Lin, Z Zhao
Cities 109, 103013, 2021
402021
The effect of temporal sampling intervals on typical human mobility indicators obtained from mobile phone location data
Z Zhao, SL Shaw, L Yin, Z Fang, X Yang, F Zhang, S Wu
International Journal of Geographical Information Science 33 (7), 1471-1495, 2019
402019
Re-identification risk versus data utility for aggregated mobility research using mobile phone location data
L Yin, Q Wang, SL Shaw, Z Fang, J Hu, Y Tao, W Wang
PloS one 10 (10), e0140589, 2015
402015
Spatial heterogeneity in spatial interaction of human movements—Insights from large-scale mobile positioning data
X Yang, Z Fang, Y Xu, L Yin, J Li, S Lu
Journal of Transport Geography 78, 29-40, 2019
352019
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