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 | 99 | 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 | 81 | 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 | 69 | 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 | 65 | 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 | 50 | 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 | 38 | 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 | 31 | 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 | 30 | 2021 |
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 | 30 | 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 | 28 | 2020 |
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 | 27 | 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 | 26 | 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 | 22 | 2018 |
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 | 19 | 2019 |
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 | 17 | 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 | 16 | 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 | 12 | 2020 |
Spatial Characteristics and Factor Analysis of Pollution Emission from Heavy-Duty Diesel Trucks in the Beijing¡VTianjin¡VHebei Region, China B Zhang, S Wu, S Cheng, F Lu, P Peng International Journal of Environmental Research and Public Health 16 (24), 4973, 2019 | 12 | 2019 |
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 | 11 | 2020 |
¤@Ïú°ò¤_¼Ò½k长µu´Á¯«经ÊI络ªº²¾动对¶H轨迹预测ºâªk §õ©ú晓¡A 张ùÚ¤~¡A ¤³°ö¤¸¡A µ{诗奋¡A 陈Ï¡¡A 陆锋 测绘学报, 2018 | 9 | 2018 |