170 citations as recorded by crossref.

1. Air quality improvement in a megacity: implications from 2015 Beijing Parade Blue pollution control actions W. Xu et al. https://doi.org/10.5194/acp-17-31-2017
2. A Data Assimilation Method Combined with Machine Learning and Its Application to Anthropogenic Emission Adjustment in CMAQ C. Huang et al. https://doi.org/10.3390/rs15061711
3. Evidence of Rural and Suburban Sources of Urban Haze Formation in China: A Case Study From the Pearl River Delta Region J. Liu et al. https://doi.org/10.1029/2017JD027952
4. A comprehensive ammonia emission inventory with high-resolution and its evaluation in the Beijing–Tianjin–Hebei (BTH) region, China Y. Zhou et al. https://doi.org/10.1016/j.atmosenv.2015.01.069
5. Spatial Variation of the Relationship between PM2.5Concentrations and Meteorological Parameters in China G. Lin et al. https://doi.org/10.1155/2015/684618
6. Refined 2013-based vehicle emission inventory and its spatial and temporal characteristics in Zhengzhou, China M. Gong et al. https://doi.org/10.1016/j.scitotenv.2017.03.299
7. Seasonal and Spatial Variation of Particulate Aerosols and Carbonaceous Species in PM2.5 in the Periphery of Chandigarh, India S. Garg et al. https://doi.org/10.1007/s12647-018-0280-6
8. Source apportionment of atmospheric pollutants based on the online data by using PMF and ME2 models at a megacity, China B. Liu et al. https://doi.org/10.1016/j.atmosres.2016.10.023
9. Mixing state of refractory black carbon in the residual layer over megacity Z. Kang et al. https://doi.org/10.1016/j.atmosenv.2022.119558
10. The impacts of the atmospheric boundary layer on regional haze in North China Q. Li et al. https://doi.org/10.1038/s41612-021-00165-y
11. Inversing NOx emissions based on an optimization model that combines a source-receptor relationship correction matrix and monitoring data: A case study in Linyi, China M. Li et al. https://doi.org/10.1016/j.atmosenv.2024.120848
12. Iron and steel industry emissions and contribution to the air quality in China L. Tang et al. https://doi.org/10.1016/j.atmosenv.2020.117668
13. Multi-pollutant emissions from the burning of major agricultural residues in China and the related health-economic effects C. Li et al. https://doi.org/10.5194/acp-17-4957-2017
14. A temporally and spatially resolved validation of emission inventories by measurements of ambient volatile organic compounds in Beijing, China M. Wang et al. https://doi.org/10.5194/acp-14-5871-2014
15. Reconciling discrepancies in the source characterization of VOCs between emission inventories and receptor modeling J. Ou et al. https://doi.org/10.1016/j.scitotenv.2018.02.102
16. Retrieving tropospheric NO2 vertical column densities around the city of Beijing and estimating NOx emissions based on car MAX-DOAS measurements X. Cheng et al. https://doi.org/10.5194/acp-20-10757-2020
17. Evaporative emission characteristics of VOCs from in-use light-duty gasoline vehicles T. Zi et al. https://doi.org/10.1016/j.atmosenv.2023.120024
18. Investigating the driving forces of NOx generation from energy consumption in China J. Wang et al. https://doi.org/10.1016/j.jclepro.2018.02.305
19. The IPAC-NC field campaign: a pollution and oxidization pool in the lower atmosphere over Huabei, China J. Ma et al. https://doi.org/10.5194/acp-12-3883-2012
20. Assessment of long-term particulate nitrate air pollution and its health risk in China Y. Hang et al. https://doi.org/10.1016/j.isci.2022.104899
21. Carbonaceous aerosol emission reduction over Shandong province and the impact of air pollution control as observed from synthetic satellite data R. Kalluri et al. https://doi.org/10.1016/j.atmosenv.2019.117150
22. A comprehensive biomass burning emission inventory with high spatial and temporal resolution in China Y. Zhou et al. https://doi.org/10.5194/acp-17-2839-2017
23. A new approach to estimate pollutant emissions based on trajectory modeling and its application in the North China Plain W. Xu et al. https://doi.org/10.1016/j.atmosenv.2013.01.047
24. Gaseous Ammonia Emissions from Coal and Biomass Combustion in Household Stoves with Different Combustion Efficiencies Q. Li et al. https://doi.org/10.1021/acs.estlett.6b00013
25. Long-Term Atmospheric Visibility Trends and Characteristics of 31 Provincial Capital Cities in China during 1957–2016 W. Fu et al. https://doi.org/10.3390/atmos9080318
26. A quantitative analysis of grid nudging effect on each process of PM 2.5 production in the Korean Peninsula W. Jeon et al. https://doi.org/10.1016/j.atmosenv.2015.10.050
27. Computationally efficient air quality forecasting tool: implementation of STOPS v1.5 model into CMAQ v5.0.2 for a prediction of Asian dust W. Jeon et al. https://doi.org/10.5194/gmd-9-3671-2016
28. Molecular characterization of organic aerosols in Taiyuan, China: Seasonal variation and source identification W. Wang et al. https://doi.org/10.1016/j.scitotenv.2021.149419
29. Vehicle emissions in a middle-sized city of China: Current status and future trends S. Sun et al. https://doi.org/10.1016/j.envint.2020.105514
30. Study on Volatile Organic Compound (VOC) Emission Control and Reduction Potential in the Pesticide Industry in China N. Wang et al. https://doi.org/10.3390/atmos13081241
31. Effectiveness evaluation of temporary emission control action in 2016 in winter in Shijiazhuang, China B. Liu et al. https://doi.org/10.5194/acp-18-7019-2018
32. Emissions of air pollutants from sintering flue gas in the Beijing-Tianjin-Hebei area and proposed reduction measures H. Yi et al. https://doi.org/10.1016/j.jclepro.2021.126958
33. Identifying convergence in nitrogen oxides emissions from motor vehicles in China: A spatial panel data approach S. He & L. Jiang https://doi.org/10.1016/j.jclepro.2021.128177
34. The impacts of three PBL schemes on the simulation of boundary layer meteorological factors and air pollutants in Northern China J. Wang et al. https://doi.org/10.1088/1755-1315/227/5/052011
35. Estimation and Prediction of Industrial VOC Emissions in Hebei Province, China X. Guo et al. https://doi.org/10.3390/atmos12050530
36. Important Role of NO3 Radical to Nitrate Formation Aloft in Urban Beijing: Insights from Triple Oxygen Isotopes Measured at the Tower M. Fan et al. https://doi.org/10.1021/acs.est.1c02843
37. Radiocarbon‐derived source apportionment of fine carbonaceous aerosols before, during, and after the 2014 Asia‐Pacific Economic Cooperation (APEC) summit in Beijing, China J. Liu et al. https://doi.org/10.1002/2016JD024865
38. Probing the severe haze pollution in three typical regions of China: Characteristics, sources and regional impacts Q. Wang et al. https://doi.org/10.1016/j.atmosenv.2015.08.076
39. PM2.5 emissions from light-duty gasoline vehicles in Beijing, China X. Shen et al. https://doi.org/10.1016/j.scitotenv.2014.04.059
40. Lichen nitrogen concentrations and isotopes for indicating nitrogen deposition levels and source changes S. Xu et al. https://doi.org/10.1016/j.scitotenv.2021.147616
41. A multi-year evolution of aerosol chemistry impacting visibility and haze formation over an Eastern Asia megacity, Shanghai Y. Lin et al. https://doi.org/10.1016/j.atmosenv.2014.04.007
42. Study on an Implementation Scheme of Synergistic Emission Reduction of CO2 and Air Pollutants in China’s Steel Industry H. Li et al. https://doi.org/10.3390/su11020352
43. Isotopic evaluation on relative contributions of major NOx sources to nitrate of PM2.5 in Beijing W. Song et al. https://doi.org/10.1016/j.envpol.2019.01.081
44. Tropospheric NO2 vertical column densities over Beijing: results of the first three years of ground-based MAX-DOAS measurements (2008–2011) and satellite validation J. Ma et al. https://doi.org/10.5194/acp-13-1547-2013
45. The variability of biomass burning and its influence on regional aerosol properties during the wheat harvest season in North China L. Wang et al. https://doi.org/10.1016/j.atmosres.2015.01.009
46. Effects of energy structure differences on chemical compositions and respiratory health of PM2.5 during late autumn and winter in China W. Sun et al. https://doi.org/10.1016/j.scitotenv.2022.153850
47. Development and Validation of the Haze Risk Perception Scale and Influencing Factor Scale—A Study Based on College Students in Beijing Y. Zhang et al. https://doi.org/10.3390/ijerph19084510
48. Investigating the impacts of coal-fired power plants on ambient PM2.5 by a combination of a chemical transport model and receptor model X. Chen et al. https://doi.org/10.1016/j.scitotenv.2020.138407
49. Development of a high-resolution emission inventory and its evaluation and application through air quality modeling for Jiangsu Province, China Y. Zhou et al. https://doi.org/10.5194/acp-17-211-2017
50. Effects of business-as-usual anthropogenic emissions on air quality A. Pozzer et al. https://doi.org/10.5194/acp-12-6915-2012
51. County-level and monthly resolution multi-pollutant emission inventory for residential solid fuel burning in Fenwei Plain, China B. Zhang et al. https://doi.org/10.1016/j.envpol.2023.121815
52. Spatial-temporal variation characteristics of air pollution in Henan of China: Localized emission inventory, WRF/Chem simulations and potential source contribution analysis S. Liu et al. https://doi.org/10.1016/j.scitotenv.2017.12.102
53. Characteristics and sources of aerosol pollution at a polluted rural site southwest in Beijing, China Y. Hua et al. https://doi.org/10.1016/j.scitotenv.2018.01.047
54. High-Resolution Measurements of SO2, HNO3 and HCl at the Urban Environment of Athens, Greece: Levels, Variability and Gas to Particle Partitioning E. Liakakou et al. https://doi.org/10.3390/atmos13020218
55. Anthropogenic emission inventories in China: a review M. Li et al. https://doi.org/10.1093/nsr/nwx150
56. Air quality forecast of PM10 in Beijing with Community Multi-scale Air Quality Modeling (CMAQ) system: emission and improvement Q. Wu et al. https://doi.org/10.5194/gmd-7-2243-2014
57. Intercomparison between the aerosol optical properties retrieved by different inversion methods from SKYNET sky radiometer observations over Qionghai and Yucheng in China Z. Jiang et al. https://doi.org/10.5194/amt-13-1195-2020
58. Spatiotemporal heterogeneity of PM2.5 and its relationship with urbanization in North China from 2000 to 2017 X. Zhang et al. https://doi.org/10.1016/j.scitotenv.2020.140925
59. EMAC model evaluation and analysis of atmospheric aerosol properties and distribution with a focus on the Mediterranean region A. de Meij et al. https://doi.org/10.1016/j.atmosres.2012.05.014
60. Assessing energy consumption, CO2 and pollutant emissions and health benefits from China's transport sector through 2050 L. Liu et al. https://doi.org/10.1016/j.enpol.2018.02.019
61. Formation Mechanisms and Source Apportionments of Airborne Nitrate Aerosols at a Himalayan-Tibetan Plateau Site: Insights from Nitrogen and Oxygen Isotopic Compositions Y. Lin et al. https://doi.org/10.1021/acs.est.1c03957
62. Gridded emission inventory of short-chain chlorinated paraffins and its validation in China W. Jiang et al. https://doi.org/10.1016/j.envpol.2016.09.031
63. Energy and Environmental Implications of Hybrid and Electric Vehicles in China J. Lang et al. https://doi.org/10.3390/en6052663
64. Changes of Emission Sources to Nitrate Aerosols in Beijing After the Clean Air Actions: Evidence From Dual Isotope Compositions M. Fan et al. https://doi.org/10.1029/2019JD031998
65. New Constraints on Isotopic Effects and Major Sources of Nitrate in Atmospheric Particulates by Combining δ15N and Δ17O Signatures W. Song et al. https://doi.org/10.1029/2020JD034168
66. Chemical characterization and source identification of PM2.5 at multiple sites in the Beijing–Tianjin–Hebei region, China X. Huang et al. https://doi.org/10.5194/acp-17-12941-2017
67. Comprehensive and high-resolution emission inventory of atmospheric pollutants for the northernmost cities agglomeration of Harbin-Changchun, China: Implications for local atmospheric environment management M. Zhang et al. https://doi.org/10.1016/j.jes.2020.11.026
68. Summer ammonia measurements in a densely populated Mediterranean city M. Pandolfi et al. https://doi.org/10.5194/acp-12-7557-2012
69. Development of a Monitoring System for Semicontinuous Measurements of Stable Carbon Isotope Ratios in Atmospheric Carbonaceous Aerosols: Optimized Methods and Application to Field Measurements Y. Lin et al. https://doi.org/10.1021/acs.analchem.0c02063
70. Vehicular ammonia emissions: an underappreciated emission source in densely populated areas Y. Wen et al. https://doi.org/10.5194/acp-23-3819-2023
71. Pollution plumes observed by aircraft over North China during the IPAC-NC field campaign J. Ma et al. https://doi.org/10.1007/s11434-013-5978-9
72. MAX-DOAS measurements of NO2, SO2, HCHO, and BrO at the Mt. Waliguan WMO GAW global baseline station in the Tibetan Plateau J. Ma et al. https://doi.org/10.5194/acp-20-6973-2020
73. Identification and characterization of foehn events in Beijing and their impact on air pollution episodes J. Li et al. https://doi.org/10.5194/acp-25-8683-2025
74. Specific sources of health risks caused by size-resolved PM-bound metals in a typical coal-burning city of northern China during the winter haze event Y. Lin et al. https://doi.org/10.1016/j.scitotenv.2020.138651
75. Substantial decreases of light absorption, concentrations and relative contributions of fossil fuel to light-absorbing carbonaceous aerosols attributed to the COVID-19 lockdown in east China Y. Lin et al. https://doi.org/10.1016/j.envpol.2021.116615
76. Nitrogen isotope differences between atmospheric nitrate and corresponding nitrogen oxides: A new constraint using oxygen isotopes W. Song et al. https://doi.org/10.1016/j.scitotenv.2019.134515
77. Improving spatial surrogates for area source emissions inventories in California Y. Li et al. https://doi.org/10.1016/j.atmosenv.2020.117665
78. Impact of long-range transport on aerosol properties at a regional background station in Northern China W. Pu et al. https://doi.org/10.1016/j.atmosres.2014.10.010
79. Satellite-Based Identification of VOC-Driven HCHO Hotspots and Their Role in Ozone Pollution Formation in the Beijing–Tianjin–Hebei Region S. Dong et al. https://doi.org/10.3390/atmos17030321
80. High-resolution emission inventory of gaseous and particulate pollutants in Shandong Province, eastern China P. Jiang et al. https://doi.org/10.1016/j.jclepro.2020.120806
81. Impact of Brown Carbon on the Simulation of Optical Properties over East Asia in a Chemistry–climate Model S. Yang et al. https://doi.org/10.1007/s13143-026-00438-7
82. Evidence of coal combustion contribution to ambient VOCs during winter in Beijing M. Wang et al. https://doi.org/10.1016/j.cclet.2013.05.029
83. Role of vegetation in deposition and dispersion of air pollution in urban parks Y. Xing & P. Brimblecombe https://doi.org/10.1016/j.atmosenv.2018.12.027
84. Temporal trends and spatial variation characteristics of primary air pollutants emissions from coal-fired industrial boilers in Beijing, China Y. Xue et al. https://doi.org/10.1016/j.envpol.2016.03.047
85. Long-Term Atmospheric Visibility Trends and Their Relations to Socioeconomic Factors in Xiamen City, China W. Fu et al. https://doi.org/10.3390/ijerph15102239
86. Chemical characterization and source identification of PM2.5 in the Huaxi urban area of Guiyang Y. Li et al. https://doi.org/10.1038/s41598-024-81048-z
87. High-time-resolution source apportionment of PM2.5 in Beijing with multiple models Y. Liu et al. https://doi.org/10.5194/acp-19-6595-2019
88. Characterization and source apportionment of organic aerosol at 260 m on a meteorological tower in Beijing, China W. Zhou et al. https://doi.org/10.5194/acp-18-3951-2018
89. Temporal Variation of NO2 and HCHO Vertical Profiles Derived from MAX-DOAS Observation in Summer at a Rural Site of the North China Plain and Ozone Production in Relation to HCHO/NO2 Ratio S. Cheng et al. https://doi.org/10.3390/atmos13060860
90. Research on emission reduction strategies in the transportation industry based on the LEAP model - a case study of Shaanxi Province C. Wei et al. https://doi.org/10.1007/s00704-026-06164-4
91. Wintertime peroxyacetyl nitrate (PAN) in the megacity Beijing: Role of photochemical and meteorological processes H. Zhang et al. https://doi.org/10.1016/S1001-0742(13)60384-8
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93. Seasonal and Spatial Variation of Volatile Organic Compounds in Ambient Air of Almaty City, Kazakhstan O. Ibragimova et al. https://doi.org/10.3390/atmos12121592
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95. Emission inventory of primary pollutants and chemical speciation in 2010 for the Yangtze River Delta region, China X. Fu et al. https://doi.org/10.1016/j.atmosenv.2012.12.034
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97. Multiannual changes of CO2 emissions in China: indirect estimates derived from satellite measurements of tropospheric NO2 columns E. Berezin et al. https://doi.org/10.5194/acp-13-9415-2013
98. Emission and simulation of primary fine and submicron particles and water-soluble ions from domestic coal combustion in China Q. Yan et al. https://doi.org/10.1016/j.atmosenv.2020.117308
99. Impacts of synoptic forcing and topography on aerosol pollution during winter in Shenyang, Northeast China X. Li et al. https://doi.org/10.1016/j.atmosres.2021.105764
100. On-road vehicle emission inventory and its spatio-temporal variations in North China Plain P. Jiang et al. https://doi.org/10.1016/j.envpol.2020.115639
101. A review of biomass burning: Emissions and impacts on air quality, health and climate in China J. Chen et al. https://doi.org/10.1016/j.scitotenv.2016.11.025
102. Evaluation of tropospheric SO2 retrieved from MAX-DOAS measurements in Xianghe, China T. Wang et al. https://doi.org/10.5194/acp-14-11149-2014
103. Oxidative potential of ambient PM2.5 in the coastal cities of the Bohai Sea, northern China: Seasonal variation and source apportionment W. Liu et al. https://doi.org/10.1016/j.envpol.2018.01.116
104. Energy demand, emission reduction and health co-benefits evaluated in transitional China in a 2 °C warming world H. Chen et al. https://doi.org/10.1016/j.jclepro.2020.121773
105. Ambient Gaseous Pollutants in an Urban Area in South Africa: Levels and Potential Human Health Risk O. Morakinyo et al. https://doi.org/10.3390/atmos11070751
106. Emissions of air pollutants and greenhouse gases over Asian regions during 2000–2008: Regional Emission inventory in ASia (REAS) version 2 J. Kurokawa et al. https://doi.org/10.5194/acp-13-11019-2013
107. Seasonal differences in sources and formation processes of PM2.5 nitrate in an urban environment of North China Y. Li et al. https://doi.org/10.1016/j.jes.2021.08.020
108. The Influence of Climate Factors, Meteorological Conditions, and Boundary-Layer Structure on Severe Haze Pollution in the Beijing-Tianjin-Hebei Region during January 2013 L. Wang et al. https://doi.org/10.1155/2014/685971
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112. Variability of depolarization of aerosol particles in the megacity of Beijing: implications for the interaction between anthropogenic pollutants and mineral dust particles Y. Tian et al. https://doi.org/10.5194/acp-18-18203-2018
113. Assessment of energy-saving and emission reduction potentials in China’s ammonia industry D. Ma et al. https://doi.org/10.1007/s10098-014-0896-3
114. A new method for estimating aerosol mass flux in the urban surface layer using LAS technology R. Yuan et al. https://doi.org/10.5194/amt-9-1925-2016
115. Silver linings in the dark clouds of COVID-19: Improvement of air quality over India and Delhi metropolitan area from measurements and WRF-CHIMERE model simulations U. Dumka et al. https://doi.org/10.1016/j.apr.2020.11.005
116. A systematic analysis of PM2.5 in Beijing and its sources from 2000 to 2012 B. Lv et al. https://doi.org/10.1016/j.atmosenv.2015.09.031
117. Long-term trend of chemical composition of atmospheric precipitation at a regional background station in Northern China W. Pu et al. https://doi.org/10.1016/j.scitotenv.2016.12.097
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127. Recent development of a refined multiple air pollutant emission inventory of vehicles in the Central Plains of China X. Gu et al. https://doi.org/10.1016/j.jes.2019.04.010
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130. Constrained Estimates of Anthropogenic NOx Emissions in China (2014–2021) from Surface Observations Y. Shen et al. https://doi.org/10.3390/atmos17010051
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132. Large scale control of surface ozone by relative humidity observed during warm seasons in China M. Li et al. https://doi.org/10.1007/s10311-021-01265-0
133. A new inverse modeling approach for emission sources based on the DDM-3D and 3DVAR techniques: an application to air quality forecasts in the Beijing–Tianjin–Hebei region X. Cheng et al. https://doi.org/10.5194/acp-21-13747-2021
134. A new statistical approach for establishing high-resolution emission inventory of primary gaseous air pollutants Y. Zhou et al. https://doi.org/10.1016/j.atmosenv.2014.05.047
135. MAX-DOAS measurements and satellite validation of tropospheric NO2 and SO2 vertical column densities at a rural site of North China J. Jin et al. https://doi.org/10.1016/j.atmosenv.2016.03.031
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