54 citations as recorded by crossref.

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15. Development of a road traffic emission inventory with high spatial–temporal resolution in the world’s most densely populated region—Macau X. Li et al. 10.1007/s10661-019-7364-9
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23. Exploring Food Waste at a Hospitality Staff Canteen With Meteorological Data S. Lei et al. 10.1177/10963480231188001
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25. Evaluation of the mid- and long-term effects of a private car driving–restriction policy under the carbon emission peak target Z. Chen et al. 10.1007/s11356-023-25391-0
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28. Operational Data-Driven Intelligent Modelling and Visualization System for Real-World, On-Road Vehicle Emissions—A Case Study in Hangzhou City, China L. Wang et al. 10.3390/su14095434
29. Hyperfine-resolution mapping of on-road vehicle emissions with comprehensive traffic monitoring and an intelligent transportation system L. Jiang et al. 10.5194/acp-21-16985-2021
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32. Emission characteristics and control scenario analysis of VOCs from heavy-duty diesel trucks S. Cheng et al. 10.1016/j.jenvman.2021.112915
33. Temporal-spatial dynamic characteristics of vehicle emissions on intercity roads in Guangdong Province based on vehicle identity detection data H. Ding et al. 10.1016/j.jes.2022.06.034
34. Modeling real-world fuel consumption and carbon dioxide emissions with high resolution for light-duty passenger vehicles in a traffic populated city S. Zhang et al. 10.1016/j.energy.2016.07.067
35. A high temporal-spatial vehicle emission inventory based on detailed hourly traffic data in a medium-sized city of China Y. Liu et al. 10.1016/j.envpol.2018.01.068
36. Spatial variation, temporal evolution, and source direction apportionment of PM1, PM2.5, and PM10: 3-year assessment in Turin (Po Valley) D. Mecca et al. 10.1007/s10661-024-13446-9
37. A review of on-road vehicle emission inventory D. Yang et al. 10.1051/e3sconf/202236001027
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43. Improving the accuracy of emission inventories with a machine-learning approach and investigating transferability across cities R. Tu et al. 10.1080/10962247.2019.1668872
44. High-resolution mapping of vehicle emissions of atmospheric pollutants based on large-scale, real-world traffic datasets D. Yang et al. 10.5194/acp-19-8831-2019
45. The spatial and temporal disaggregation models of high-accuracy vehicle emission inventory H. Feng et al. 10.1016/j.envint.2023.108287
46. Simulation modelling as a tool for urban air pollution forecasting M. Logachev et al. 10.1051/e3sconf/202346008011
47. Assessing on-road emissions from urban buses in different traffic congestion scenarios by integrating real-world driving, traffic, and emissions data F. Rosero et al. 10.1016/j.scitotenv.2022.161002
48. Pioneers of electric mobility: Lessons about transport decarbonisation from two bay areas K. Tsoi et al. 10.1016/j.jclepro.2021.129866
49. Development of a highly spatiotemporally resolved vehicular volatile organic compounds emission inventory based on on-line measurement of speed-dependent emission factor M. Wang et al. 10.1016/j.scitotenv.2024.175176
50. A diurnal story of Δ17O($$\rm{NO}_{3}^{-}$$) in urban Nanjing and its implication for nitrate aerosol formation Y. Zhang et al. 10.1038/s41612-022-00273-3
51. High resolution vehicular exhaust and non-exhaust emission analysis of urban-rural district of India G. Tomar et al. 10.1016/j.scitotenv.2021.150255
52. Multiscale spatiotemporal variations of NOx emissions from heavy duty diesel trucks in the Beijing-Tianjin-Hebei region S. Cheng et al. 10.1016/j.scitotenv.2022.158753
53. Dynamic quantification of on-road emissions in Hong Kong: Impact from traffic congestion and fleet composition variation X. Li et al. 10.1016/j.atmosenv.2023.120059
54. Modeling real-world fuel consumption and carbon dioxide emissions with high resolution for light-duty passenger vehicles in a traffic populated city S. Zhang et al. 10.1016/j.energy.2016.07.067