Shifen Cheng(程诗奋)
Shifen Cheng(程诗奋)
State Key Lab of Resources and Environmental Information System, Chinese Academy of Sciences
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Zitiert von
Zitiert von
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
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
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, 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
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
A two-step method for missing spatio-temporal data reconstruction
S Cheng, F Lu
ISPRS International Journal of Geo-Information 6 (7), 187, 2017
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
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
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
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
The robustness evaluation of global maritime transportation networks
P Peng, S Cheng, X Liu, Q Mei, F Lu
Acta Geogr. Sin 72, 2241-2251, 2017
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
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
Spatial Characteristics and Factor Analysis of Pollution Emission from Heavy-Duty Diesel Trucks in the Beijing–Tianjin–Hebei Region, China
B Zhang, S Wu, S Cheng, F Lu, P Peng
International Journal of Environmental Research and Public Health 16 (24), 4973, 2019
Multiscale spatiotemporal variations of NOx emissions from heavy duty diesel trucks in the Beijing-Tianjin-Hebei region
S Cheng, B Zhang, Y Zhao, P Peng, F Lu
Science of the Total Environment 854, 158753, 2023
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