Shifen Cheng
Shifen Cheng
State Key Lab of Resources and Environmental Information System, Chinese Academy of Sciences
Verified email at
Cited by
Cited by
Modelling the competitiveness of the ports along the Maritime Silk Road with big data
P Peng, Y Yang, F Lu, S Cheng, N Mou, R Yang
Transportation Research Part A: Policy and Practice 118, 852-867, 2018
Short-term traffic forecasting: an adaptive ST-KNN model that considers spatial heterogeneity
S Cheng, F Lu, P Peng, S Wu
Computers Environment and Urban Systems 71, 186-198, 2018
A fine-grained perspective on the robustness of global cargo ship transportation networks
P Peng, S Cheng, J Chen, M Liao, L Wu, X Liu, F Lu
Journal of Geographical Sciences 28 (7), 881-889, 2018
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
Hub-and-spoke structure: Characterizing the global crude oil transport network with mass vessel trajectories
P Peng, Y Yang, S Cheng, F Lu, Z Yuan
Energy 168, 966-974, 2019
A two-step method for missing spatio-temporal data reconstruction
S Cheng, F Lu
ISPRS International Journal of Geo-Information 6 (7), 187, 2017
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
Multi-task and multi-view learning based on particle swarm optimization for short-term traffic forecasting
S Cheng, F Lu, P Peng, S Wu
Knowledge-Based Systems 180, 116-132, 2019
Spatiotemporal evolution pattern detection for heavy-duty diesel truck emissions using trajectory mining: A case study of Tianjin, China
S Cheng, B Zhang, P Peng, Z Yang, F Lu
Journal of Cleaner Production 244, 118654, 2020
Global oil traffic network and diffusion of influence among ports using real time data
P Peng, JPH Poon, Y Yang, F Lu, S Cheng
Energy 172, 333-342, 2019
The robustness evaluation of global maritime transportation networks
P Peng, SF Cheng, XL Liu, Q Mei, F Lu
Acta Geogr. Sin 72, 2241-2251, 2017
A high-resolution emissions inventory and its spatiotemporal pattern variations for heavy-duty diesel trucks in Beijing, China
S Cheng, F Lu, P Peng
Journal of Cleaner Production 250, 119445, 2020
A spatiotemporal multi-view-based learning method for short-term traffic forecasting
S Cheng, F Lu, P Peng, S Wu
ISPRS International Journal of Geo-Information 7 (6), 218, 2018
Short-term traffic forecasting by mining the non-stationarity of spatiotemporal patterns
S Cheng, F Lu, P Peng
IEEE Transactions on Intelligent Transportation Systems, 2020
Mapping the global liquefied natural gas trade network: A perspective of maritime transportation
P Peng, F Lu, S Cheng, Y Yang
Journal of Cleaner Production 283, 124640, 2021
Characterizing the global liquefied petroleum gas trading community using mass vessel trajectory data
P Peng, S Cheng, F Lu
Journal of Cleaner Production 252, 119883, 2020
Emission characteristics and control scenario analysis of VOCs from heavy-duty diesel trucks
S Cheng, F Lu, P Peng, J Zheng
Journal of Environmental Management 293, 112915, 2021
A lightweight ensemble spatiotemporal interpolation model for geospatial data
S Cheng, P Peng, F Lu
International Journal of Geographical Information Science 34 (9), 1849-1872, 2020
李明晓, 张琱~, 仇培元, 程诗奋, 陈洁, 陆锋
测绘学报, 2018
Short-Term Traffic Forecasting: A Dynamic ST-KNN Model Considering Spatial Heterogeneity and Temporal Non-Stationarity.
S Cheng, F Lu
EDBT/ICDT Workshops, 133-140, 2018
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