| 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 | 127 | 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 | 100 | 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 | 92 | 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 | 70 | 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 | 59 | 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 | 43 | 2017 |
| 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 | 41 | 2021 |
| 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 | 39 | 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 | 33 | 2018 |
| 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 | 32 | 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 | 31 | 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 | 29 | 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 | 24 | 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 | 23 | 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 | 20 | 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 | 18 | 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 | 16 | 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 | 16 | 2020 |
| Estimation of exposure and premature mortality from near-roadway fine particulate matter concentrations emitted by heavy-duty diesel trucks in Beijing B Zhang, S Cheng, F Lu, M Lei Environmental Pollution 311, 119990, 2022 | 13 | 2022 |
| 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 | 13 | 2019 |
Feng LuState Key Lab of Resources and Environmental Information System, Chinese Academy of Sciences在 lreis.ac.cn 的电子邮件经过验证
