111 citations as recorded by crossref.

1. Spatio-Temporal Variations of Multiple Primary Air Pollutants Emissions in Beijing of China, 2006–2015 Y. Xue et al. 10.3390/atmos10090494
2. Quantifying on-road vehicle emissions during traffic congestion using updated emission factors of light-duty gasoline vehicles and real-world traffic monitoring big data X. Chen et al. 10.1016/j.scitotenv.2022.157581
3. A research product for tropospheric NO2 columns from Geostationary Environment Monitoring Spectrometer based on Peking University OMI NO2 algorithm Y. Zhang et al. 10.5194/amt-16-4643-2023
4. Characteristics, emissions and source identifications of particle polycyclic aromatic hydrocarbons from traffic emissions using tunnel measurement X. Fang et al. 10.1016/j.trd.2018.02.021
5. Estimation and Analysis of Air Pollutant Emissions from On-Road Vehicles in Changzhou, China M. Guo et al. 10.3390/atmos15020192
6. Estimation of exposure and premature mortality from near-roadway fine particulate matter concentrations emitted by heavy-duty diesel trucks in Beijing B. Zhang et al. 10.1016/j.envpol.2022.119990
7. Enhanced commercial cooking inventories from the city scale through normalized emission factor dataset and big data P. Lin et al. 10.1016/j.envpol.2022.120320
8. Estimativa das emissões veiculares na região metropolitana de Fortaleza, CE, ano-base 2010 T. Lopes et al. 10.1590/s1413-41522018173312
9. Developing a vehicle emission inventory with high temporal-spatial resolution in Tianjin, China S. Sun et al. 10.1016/j.scitotenv.2021.145873
10. Quantifying the Environmental Impact of Vehicle Emissions Due to Traffic Diversion Plans for Road Infrastructure Construction Projects: A Case Study in China M. Ma et al. 10.3390/su15107825
11. Measurements of traffic-dominated pollutant emissions in a Chinese megacity F. Squires et al. 10.5194/acp-20-8737-2020
12. A comprehensive spatial and temporal vehicular emissions for northeast China S. Ibarra-Espinosa et al. 10.1016/j.atmosenv.2020.117952
13. Construction of Heavy-Duty Diesel Vehicle Atmospheric Pollutant Emission Inventory Based on Onboard Diagnosis Data T. Chen et al. 10.3390/atmos15121473
14. Air pollution in China: Status and spatiotemporal variations C. Song et al. 10.1016/j.envpol.2017.04.075
15. Research on the Temporal and Spatial Characteristics of Air Pollutants in Sichuan Basin C. Fang et al. 10.3390/atmos12111504
16. Long-term spatiotemporal evolution and coordinated control of air pollutants in a typical mega-mountain city of Cheng-Yu region under the “dual carbon” goal X. Li et al. 10.1080/10962247.2023.2232744
17. Evaluation of low emission zone policy on vehicle emission reduction in Beijing, China Y. Zhang et al. 10.1088/1755-1315/121/5/052070
18. On-road vehicle emission inventory and its spatio-temporal variations in North China Plain P. Jiang et al. 10.1016/j.envpol.2020.115639
19. Uncovering temporal-spatial drivers of vehicular NOx emissions in China J. Wang et al. 10.1016/j.jclepro.2020.125635
20. Effect of sub-urban scale lockdown on air pollution in Beijing P. Brimblecombe & Y. Lai 10.1016/j.uclim.2020.100725
21. Characterizing the air pollution of the cities in the closure of corona virus disease 2019 in China H. Yao et al. 10.1007/s13762-021-03311-4
22. Data-driven network loading N. Tsanakas et al. 10.1080/21680566.2020.1847213
23. Status and quality evaluation of precursor emission inventories for PM<sub>2.5</sub> and ozone in China Z. Huang et al. 10.1360/TB-2021-0783
24. Replacing urban trucks via ground–air cooperation X. Qu et al. 10.1016/j.commtr.2022.100080
25. Spatiotemporal evolution pattern detection for heavy-duty diesel truck emissions using trajectory mining: A case study of Tianjin, China S. Cheng et al. 10.1016/j.jclepro.2019.118654
26. PM2.5-bound polycyclic aromatic hydrocarbons (PAHs) and their derivatives (nitrated-PAHs and oxygenated-PAHs) in a road tunnel located in Qingdao, China: Characteristics, sources and emission factors T. Zhao et al. 10.1016/j.scitotenv.2020.137521
27. Study of Mobile Source Pollutants Based on Multi-Source Data Fusion: A Case Study of Zibo City, China C. Zheng et al. 10.3390/su15118481
28. Characterization of the vehicle emissions in the Greater Taipei Area through vision-based traffic analysis system and its impacts on urban air quality I. Tsai et al. 10.1016/j.scitotenv.2021.146571
29. Updating emission inventories for vehicular organic gases: Indications from cold-start and temperature effects on advanced technology cars Z. Zhang et al. 10.1016/j.scitotenv.2023.163544
30. Past and future trends of vehicle emissions in Tianjin, China, from 2000 to 2030 S. Sun et al. 10.1016/j.atmosenv.2019.04.016
31. Emissions from the Road Traffic of West African Cities: Assessment of Vehicle Fleet and Fuel Consumption M. Doumbia et al. 10.3390/en11092300
32. Unexpected moderate contribution of intermediate volatility organic compounds from gasoline vehicle emission to secondary organic aerosol formation in summer of Beijing R. Tang et al. 10.1016/j.atmosres.2023.106990
33. Source–Receptor Relationship Revealed by the Halted Traffic and Aggravated Haze in Beijing during the COVID-19 Lockdown Z. Lv et al. 10.1021/acs.est.0c04941
34. 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
35. Regulation-driven changes in PM2.5 sources in China from 2013 to 2019, a critical review and trend analysis T. Zhang et al. 10.1016/j.scitotenv.2024.173091
36. A Comprehensive 2018-Based Vehicle Emission Inventory and Its Spatial–Temporal Characteristics in the Central Liaoning Urban Agglomeration, China Y. Liu et al. 10.3390/ijerph19042033
37. Nighttime NO emissions strongly suppress chlorine and nitrate radical formation during the winter in Delhi S. Haslett et al. 10.5194/acp-23-9023-2023
38. Characterization of PM-Bound Heavy Metal at Road Environment in Tianjin: Size Distribution and Source Identification Q. Zhang et al. 10.3390/atmos12091130
39. 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
40. Vehicular non-exhaust particulate emissions in Chinese megacities: Source profiles, real-world emission factors, and inventories J. Zhang et al. 10.1016/j.envpol.2020.115268
41. Development and Application of Urban High Temporal-Spatial Resolution Vehicle Emission Inventory Model and Decision Support System Y. Zhang et al. 10.1007/s10666-017-9551-9
42. 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
43. Coordinated control of PM2.5 and O3 is urgently needed in China after implementation of the “Air pollution prevention and control action plan” H. Zhao et al. 10.1016/j.chemosphere.2020.129441
44. Evaluating parameterization schemes of dinitrogen pentoxide heterogeneous processes in the presence of organic coatings for size-resolved nitrate simulations over North China Y. Qu et al. 10.1016/j.atmosenv.2025.121335
45. Primary Air Pollutants Emissions Variation Characteristics and Future Control Strategies for Transportation Sector in Beijing, China Y. Xue et al. 10.3390/su12104111
46. A big data approach to improving the vehicle emission inventory in China F. Deng et al. 10.1038/s41467-020-16579-w
47. Development of sectorial and territorial information system to monitor GHG emissions as local and regional climate governance tool: Case study in Valencia (Spain) E. Lorenzo-Sáez et al. 10.1016/j.uclim.2022.101125
48. Dynamic emission characteristics and control strategies of air pollutants from motor vehicles in downtown Beijing, China Y. Shen et al. 10.1016/j.jes.2023.01.019
49. 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
50. Integrated effects of SCR, velocity, and Air-fuel Ratio on gaseous pollutants and CO2 emissions from China V and VI heavy-duty diesel vehicles X. Li et al. 10.1016/j.scitotenv.2021.152311
51. Characteristics of Ground-Level Ozone from 2015 to 2018 in BTH Area, China X. Fang et al. 10.3390/atmos11020130
52. Analyzing the Effects of Road Type and Rainy Weather on Fuel Consumption and Emissions: A Mesoscopic Model Based on Big Traffic Data R. Shang et al. 10.1109/ACCESS.2021.3074303
53. 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
54. 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
55. A high-resolution emissions inventory and its spatiotemporal pattern variations for heavy-duty diesel trucks in Beijing, China S. Cheng et al. 10.1016/j.jclepro.2019.119445
56. 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
57. Development of the Real-time On-road Emission (ROE v1.0) model for street-scale air quality modeling based on dynamic traffic big data L. Wu et al. 10.5194/gmd-13-23-2020
58. High spatiotemporal resolution vehicular emission inventory in Beijing-Tianjin-Hebei and its surrounding areas (BTHSA) during 2000–2020, China C. Zhu et al. 10.1016/j.scitotenv.2023.162389
59. Study on the Uncertainty of the Calibration Device of PM2.5 Mass Concentration Monitor J. Zou et al. 10.1088/1755-1315/450/1/012061
60. Air pollution characteristics and their relation to meteorological conditions during 2014–2015 in major Chinese cities J. He et al. 10.1016/j.envpol.2017.01.050
61. Heavy-duty diesel vehicles dominate vehicle emissions in a tunnel study in northern China C. Song et al. 10.1016/j.scitotenv.2018.04.387
62. An integrated air quality modeling system coupling regional-urban and street models in Beijing T. Wang et al. 10.1016/j.uclim.2022.101143
63. 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
64. Street-scale air quality modelling for Beijing during a winter 2016 measurement campaign M. Biggart et al. 10.5194/acp-20-2755-2020
65. Speed-guided intelligent transportation system helps achieve low-carbon and green traffic: Evidence from real-world measurements Z. Yang et al. 10.1016/j.jclepro.2020.122230
66. 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
67. Spatial–temporal distribution characteristics of pollutants of heavy-duty diesel vehicles in urban road networks: a case study of Kunming City J. Xu et al. 10.1007/s11356-023-31084-5
68. Emission Inventory of On-Road Transport in Bangkok Metropolitan Region (BMR) Development during 2007 to 2015 Using the GAINS Model P. Cheewaphongphan et al. 10.3390/atmos8090167
69. Refined 2013-based vehicle emission inventory and its spatial and temporal characteristics in Zhengzhou, China M. Gong et al. 10.1016/j.scitotenv.2017.03.299
70. Updated emission inventories of power plants in simulating air quality during haze periods over East China L. Zhang et al. 10.5194/acp-18-2065-2018
71. Impact of Illegal Application of Urea Regulator on Real-World Exhaust Nitrogen Oxygen and Particle Number Emissions J. Li et al. 10.3390/atmos13101739
72. Spatially resolved hourly traffic emission over megacity Delhi using advanced traffic flow data A. Biswal et al. 10.5194/essd-15-661-2023
73. High Spatiotemporal Resolution Inventory Finely Depicts the Rebound Characteristics of Greenhouse Gas Emissions from Vehicles in Beijing after the COVID-19 Epidemic Y. Li et al. 10.1021/acs.estlett.5c00065
74. Development of a vehicle emission inventory with high temporal–spatial resolution based on NRT traffic data and its impact on air pollution in Beijing – Part 2: Impact of vehicle emission on urban air quality J. He et al. 10.5194/acp-16-3171-2016
75. Vehicle Emission Models and Traffic Simulators: A Review M. Mądziel 10.3390/en16093941
76. Recent development of a refined multiple air pollutant emission inventory of vehicles in the Central Plains of China X. Gu et al. 10.1016/j.jes.2019.04.010
77. Bottom-Up Emission Inventory and Its Spatio-Temporal Distribution from Paved Road Dust Based on Field Investigation: A Case Study of Harbin, Northeast China L. Li et al. 10.3390/atmos12040449
78. Vehicle emissions in a middle-sized city of China: Current status and future trends S. Sun et al. 10.1016/j.envint.2020.105514
79. CO2 Emission and Energy Consumption Estimates in the COPERT Model—Conclusions from Chassis Dynamometer Tests and SANN Artificial Neural Network Models and Their Meaning for Transport Management O. Orynycz et al. 10.3390/en18133457
80. Nonlinear impacts of urban built environment on freight emissions T. Peng et al. 10.1016/j.trd.2024.104358
81. Fine-grained vehicle emission management using intelligent transportation system data S. Zhang et al. 10.1016/j.envpol.2018.06.016
82. CarAgent: Collecting and disseminating floating car data in vehicular networks H. Huang et al. 10.1016/j.vehcom.2018.08.002
83. Data Redundancy Mitigation in V2X Based Collective Perceptions H. Huang et al. 10.1109/ACCESS.2020.2965552
84. Quantitative estimation of meteorological impacts and the COVID-19 lockdown reductions on NO2 and PM2.5 over the Beijing area using Generalized Additive Models (GAM) J. Hua et al. 10.1016/j.jenvman.2021.112676
85. Diurnal and weekly patterns of primary pollutants in Beijing under COVID-19 restrictions P. Brimblecombe & Y. Lai 10.1039/D0FD00082E
86. Temporal variations in ambient air quality indicators in Shanghai municipality, China Y. Chen et al. 10.1038/s41598-020-68201-0
87. Evaluation of emission factors for light-duty gasoline vehicles based on chassis dynamometer and tunnel studies in Shanghai, China C. Huang et al. 10.1016/j.atmosenv.2017.09.020
88. Surface–atmosphere fluxes of volatile organic compounds in Beijing W. Acton et al. 10.5194/acp-20-15101-2020
89. Variation of spatio-temporal distribution of on-road vehicle emissions based on real-time RFID data Y. Liu et al. 10.1016/j.jes.2021.07.018
90. RTVEMVS: Real-time modeling and visualization system for vehicle emissions on an urban road network H. Ding et al. 10.1016/j.jclepro.2021.127166
91. Proposal of policies based on temporal-spatial dynamic characteristics and co-benefits of CO2 and air pollutants from vehicles in Shanghai, China Y. Dai et al. 10.1016/j.jenvman.2023.119736
92. Structural decomposition of heavy-duty diesel truck emission contribution based on trajectory mining S. Cheng et al. 10.1016/j.jclepro.2022.135172
93. Source apportionment of PM2.5 at a regional background site in North China using PMF linked with radiocarbon analysis: insight into the contribution of biomass burning Z. Zong et al. 10.5194/acp-16-11249-2016
94. Road Traffic Emission Inventory in an Urban Zone of West Africa: Case of Yopougon City (Abidjan, Côte d’Ivoire) M. Doumbia et al. 10.3390/en14041111
95. The spatial and temporal disaggregation models of high-accuracy vehicle emission inventory H. Feng et al. 10.1016/j.envint.2023.108287
96. Emission characteristics and control scenario analysis of VOCs from heavy-duty diesel trucks S. Cheng et al. 10.1016/j.jenvman.2021.112915
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98. The Online Shortest Path Problem: Learning Travel Times Using a Multiarmed Bandit Framework T. Lagos et al. 10.1287/trsc.2023.0196
99. Emission characteristics and high-resolution spatial and temporal distribution of pollutants from motor vehicles in Chengdu, China Z. Zhou et al. 10.1016/j.apr.2018.12.002
100. A Study of Traffic Emissions Based on Floating Car Data for Urban Scale Air Quality Applications F. Russo et al. 10.3390/atmos12081064
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105. Refueling emission of volatile organic compounds from China 6 gasoline vehicles L. Sun et al. 10.1016/j.scitotenv.2021.147883
106. A study of high temporal-spatial resolution greenhouse gas emissions inventory for on-road vehicles based on traffic speed-flow model: A case of Beijing Y. Li et al. 10.1016/j.jclepro.2020.122419
107. Insight into PM2.5 sources by applying positive matrix factorization (PMF) at urban and rural sites of Beijing D. Srivastava et al. 10.5194/acp-21-14703-2021
108. Emission factors and emission inventory of diesel vehicles in Nepal B. Das et al. 10.1016/j.scitotenv.2021.152539
109. Near Real-Time Spatial and Temporal Distribution of Traffic Emissions in Bangkok Using Google Maps Application Program Interface S. Naiudomthum et al. 10.3390/atmos13111803
110. Modeling and Impact Analysis for Solar Road Integration in Distribution Networks B. Shi et al. 10.1109/TSTE.2022.3230686
111. Study on Particle Size Distribution Characteristics in Urban Roadside Microenvironment Using an ELPI+ X. Fang et al. 10.1007/s11270-022-05942-w