125 citations as recorded by crossref.

1. Characterization of black carbon in an urban-rural fringe area of Beijing D. Ji et al. https://doi.org/10.1016/j.envpol.2017.01.055
2. Contributions of aerosol composition and sources to particulate optical properties in a southern coastal city of China J. Tian et al. https://doi.org/10.1016/j.atmosres.2019.104744
3. Impacts of secondary aerosol formation and long range transport on severe haze during the winter of 2017 in the Seoul metropolitan area Y. Kim et al. https://doi.org/10.1016/j.scitotenv.2021.149984
4. New insights into PM2.5 chemical composition and sources in two major cities in China during extreme haze events using aerosol mass spectrometry M. Elser et al. https://doi.org/10.5194/acp-16-3207-2016
5. Chemical characterization and source identification of PM2.5 in Luoyang after the clean air actions M. Xu et al. https://doi.org/10.1016/j.jes.2021.06.021
6. A method for estimating the ratio of aerosol mass concentration to the imaginary part of the atmospheric complex refractive index and its application R. Yuan et al. https://doi.org/10.1016/j.atmosres.2021.105848
7. Aerosol vertical mass flux measurements during heavy aerosol pollution episodes at a rural site and an urban site in the Beijing area of the North China Plain R. Yuan et al. https://doi.org/10.5194/acp-19-12857-2019
8. Optical properties of atmospheric fine particles near Beijing during the HOPE-J3A campaign X. Xu et al. https://doi.org/10.5194/acp-16-6421-2016
9. Chemical Compositions, Sources, and Intra‐Regional Transportation of Submicron Particles Between North China Plain and Twain‐Hu Basin of Central China in Winter Y. Hu et al. https://doi.org/10.1029/2022JD037635
10. Characteristics of PM2.5 pollution in Beijing after the improvement of air quality X. Huang et al. https://doi.org/10.1016/j.jes.2020.06.004
11. A closure study of aerosol optical properties as a function of RH using a κ-AMS-BC-Mie model in Beijing, China J. Zou et al. https://doi.org/10.1016/j.atmosenv.2018.10.015
12. Methanesulfonic Acid-driven New Particle Formation Enhanced by Monoethanolamine: A Computational Study J. Shen et al. https://doi.org/10.1021/acs.est.9b05306
13. Pollution severity-dependent aerosol light scattering enhanced by inorganic species formation in Beijing haze Q. Ma et al. https://doi.org/10.1016/j.scitotenv.2020.137545
14. Case study of the effects of aerosol chemical composition and hygroscopicity on the scattering coefficient in summer, Xianghe, southeast of Beijing, China J. Zou et al. https://doi.org/10.1016/j.atmosres.2019.03.026
15. Characterizing remarkable changes of severe haze events and chemical compositions in multi-size airborne particles (PM1, PM2.5 and PM10) from January 2013 to 2016–2017 winter in Beijing, China P. Shao et al. https://doi.org/10.1016/j.atmosenv.2018.06.038
16. Chemical characteristics and sources of water-soluble organic aerosol in southwest suburb of Beijing R. Hu et al. https://doi.org/10.1016/j.jes.2020.04.004
17. An inter-comparison of size segregated carbonaceous aerosol collected by low-volume impactor in the port-cities of Venice (Italy) and Rijeka (Croatia) D. Cesari et al. https://doi.org/10.1016/j.apr.2020.06.027
18. Spatial and temporal variations of satellite-based aerosol optical depth over Iran in Southwest Asia: Identification of a regional aerosol hot spot S. Sabetghadam et al. https://doi.org/10.1016/j.apr.2018.01.013
19. Secondary aerosol formation and its linkage with synoptic conditions during winter haze pollution over eastern China T. Wang et al. https://doi.org/10.1016/j.scitotenv.2020.138888
20. Characterization of summertime single aerosol particles in Chengdu (China): Interannual evolution and impact of COVID-19 lockdown J. Zhang et al. https://doi.org/10.1016/j.scitotenv.2023.167765
21. Organosulfate produced from consumption of SO3 speeds up sulfuric acid–dimethylamine atmospheric nucleation X. Zhang et al. https://doi.org/10.5194/acp-24-3593-2024
22. 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
23. Severe winter haze days in the Beijing–Tianjin–Hebei region from 1985 to 2017 and the roles of anthropogenic emissions and meteorology R. Dang & H. Liao https://doi.org/10.5194/acp-19-10801-2019
24. Nitrate and secondary organic aerosol dominated particle light extinction in Beijing due to clean air action Z. Li et al. https://doi.org/10.1016/j.atmosenv.2021.118833
25. Estimation of particle size distributions in the atmosphere—analysis of Fe and Ca particles as the representative examples H. Youn et al. https://doi.org/10.1007/s44273-023-00002-z
26. Size segregated ionic species collected in a harbour area B. Navarro-Selma et al. https://doi.org/10.1016/j.chemosphere.2022.133693
27. The influence of terrestrial transport on visibility and aerosol properties over the coastal East China Sea B. Wang et al. https://doi.org/10.1016/j.scitotenv.2018.08.312
28. A foehn-induced haze front in Beijing: observations and implications J. Li et al. https://doi.org/10.5194/acp-20-15793-2020
29. Variations in Levels and Sources of Atmospheric VOCs during the Continuous Haze and Non-Haze Episodes in the Urban Area of Beijing: A Case Study in Spring of 2019 L. Zhang et al. https://doi.org/10.3390/atmos12020171
30. Optimizing air quality forecasting with OSSE: Assessing the assimilation of aerosol species data via multi-resolution observation network design in the WRF-Chem and 3DVAR frameworks X. Chen et al. https://doi.org/10.1016/j.atmosres.2025.108213
31. An Air Stagnation Index to Qualify Extreme Haze Events in Northern China J. Feng et al. https://doi.org/10.1175/JAS-D-17-0354.1
32. Long-term variation in CO2 emissions with implications for the interannual trend in PM2.5 over the last decade in Beijing, China Z. Liu et al. https://doi.org/10.1016/j.envpol.2020.115014
33. Direct Measurements of Covalently Bonded Sulfuric Anhydrides from Gas-Phase Reactions of SO3 with Acids under Ambient Conditions A. Kumar et al. https://doi.org/10.1021/jacs.4c04531
34. Integration of optical and chemical parameters to improve the particulate matter characterization M. Perrone et al. https://doi.org/10.1016/j.atmosres.2018.02.015
35. Visibility Degradation and Its Contributors at an Urban Site in Korea C. Ma et al. https://doi.org/10.5572/ajae.2020.14.4.335
36. Heavy haze episodes in Beijing during January 2013: Inorganic ion chemistry and source analysis using highly time-resolved measurements from an urban site B. Han et al. https://doi.org/10.1016/j.scitotenv.2015.10.053
37. Variability of surface aerosol properties at an urban site in Beijing based on two years of in-situ measurements L. Chang et al. https://doi.org/10.1016/j.atmosres.2021.105562
38. Quantifying the structural uncertainty of the aerosol mixing state representation in a modal model Z. Zheng et al. https://doi.org/10.5194/acp-21-17727-2021
39. Typical winter haze pollution in Zibo, an industrial city in China: Characteristics, secondary formation, and regional contribution H. Li et al. https://doi.org/10.1016/j.envpol.2017.05.081
40. Interannual Relationship between Haze Days in December–January and Satellite-Based Leaf Area Index in August–September over Central North China L. Ji & K. Fan https://doi.org/10.3390/rs14040884
41. Chemical characteristics of particulate matters and their emission sources over Varanasi during winter season V. Pratap et al. https://doi.org/10.1007/s10874-020-09405-6
42. Characterization of fog microphysics and their relationships with visibility at a mountain site in China Q. Liu et al. https://doi.org/10.5194/acp-25-3253-2025
43. Contributions of aerosol chemical composition and sources to light extinction during haze and non-haze days in Taiyuan, China L. Guo et al. https://doi.org/10.1016/j.apr.2021.101140
44. An accurate and efficient forecast framework for fine PM2.5 maps using spatiotemporal recurrent neural networks N. Liu et al. https://doi.org/10.1016/j.jclepro.2024.143624
45. Boundary layer structure characteristics under objective classification of persistent pollution weather types in the Beijing area Z. Sun et al. https://doi.org/10.5194/acp-21-8863-2021
46. A pH dependent sulfate formation mechanism caused by hypochlorous acid in the marine atmosphere J. Liu et al. https://doi.org/10.1016/j.scitotenv.2021.147551
47. Simultaneous measurements of PM1 and PM10 aerosol scattering properties and their relationships in urban Beijing: A two-year observation X. Hu et al. https://doi.org/10.1016/j.scitotenv.2021.145215
48. Impact of Formation Pathways on Secondary Inorganic Aerosol During Haze Pollution in Beijing: Quantitative Evidence From High‐Resolution Observation and Modeling J. Gao et al. https://doi.org/10.1029/2021GL095623
49. “APEC Blue” association with emission control and meteorological conditions detected by multi-scale statistics P. Wang & X. Dai https://doi.org/10.1016/j.atmosres.2016.05.001
50. Aerosol chemical compositions in the North China Plain and the impact on the visibility in Beijing and Tianjin J. Zou et al. https://doi.org/10.1016/j.atmosres.2017.09.014
51. Chemical apportionment of aerosol optical properties during the Asia‐Pacific Economic Cooperation summit in Beijing, China T. Han et al. https://doi.org/10.1002/2015JD023918
52. Development of a hydrophilic interaction liquid chromatography (HILIC) method for the chemical characterization of water-soluble isoprene epoxydiol (IEPOX)-derived secondary organic aerosol T. Cui et al. https://doi.org/10.1039/C8EM00308D
53. Chemical composition of aerosol particles and light extinction apportionment before and during the heating season in Beijing, China Q. Wang et al. https://doi.org/10.1002/2015JD023871
54. Aerosol optical properties measurements by a CAPS single scattering albedo monitor: Comparisons between summer and winter in Beijing, China T. Han et al. https://doi.org/10.1002/2016JD025762
55. Characteristics of concentrations and water-soluble inorganic ions in PM2.5 in Handan City, Hebei province, China C. Meng et al. https://doi.org/10.1016/j.atmosres.2015.12.013
56. Synergistic data fusion of multimodal AOD and air quality data for near real-time full coverage air pollution assessment K. Li et al. https://doi.org/10.1016/j.jenvman.2021.114121
57. Insights into the characteristics of aerosols using an integrated single particle–bulk chemical approach J. Zhang et al. https://doi.org/10.1016/j.atmosres.2020.105374
58. Characteristics of Particulate Matter at Different Pollution Levels in Chengdu, Southwest of China Y. Huang et al. https://doi.org/10.3390/atmos12080990
59. Insight into wet scavenging effects on sulfur and nitrogen containing organic compounds in urban Beijing C. Zhang et al. https://doi.org/10.1038/s41612-024-00756-5
60. Chemical Composition of Indoor and Outdoor PM2.5 in Three Schools in the City of Rome L. Tofful & C. Perrino https://doi.org/10.3390/atmos6101422
61. Insight into winter haze formation mechanisms based on aerosol hygroscopicity and effective density measurements Y. Xie et al. https://doi.org/10.5194/acp-17-7277-2017
62. A novel algorithm to determine the scattering coefficient of ambient organic aerosols W. Zhu et al. https://doi.org/10.1016/j.envpol.2020.116209
63. Rapid formation of intense haze episodes via aerosol–boundary layer feedback in Beijing Y. Wang et al. https://doi.org/10.5194/acp-20-45-2020
64. Amine-Enhanced Methanesulfonic Acid-Driven Nucleation: Predictive Model and Cluster Formation Mechanism Y. Liu et al. https://doi.org/10.1021/acs.est.2c01639
65. Characterization of submicron particles during biomass burning and coal combustion periods in Beijing, China J. Zhang et al. https://doi.org/10.1016/j.scitotenv.2016.04.015
66. Effect of rainfall-induced diabatic heating over southern China on the formation of wintertime haze on the North China Plain X. An et al. https://doi.org/10.5194/acp-22-725-2022
67. Atmospheric Fate of Monoethanolamine: Enhancing New Particle Formation of Sulfuric Acid as an Important Removal Process H. Xie et al. https://doi.org/10.1021/acs.est.7b02294
68. Comprehensive analysis of PM10 in Belgrade urban area on the basis of long-term measurements A. Stojić et al. https://doi.org/10.1007/s11356-016-6266-4
69. Seasonal variation and secondary formation of size-segregated aerosol water-soluble inorganic ions in a coast megacity of North China Plain Q. Yao et al. https://doi.org/10.1007/s11356-020-09052-0
70. Particle growth with photochemical age from new particle formation to haze in the winter of Beijing, China B. Chu et al. https://doi.org/10.1016/j.scitotenv.2020.142207
71. Interpreting hourly mass concentrations of PM2.5 chemical components with an optimal deep-learning model H. Li et al. https://doi.org/10.1016/j.jes.2024.03.037
72. Field characterization of the PM2.5 Aerosol Chemical Speciation Monitor: insights into the composition, sources, and processes of fine particles in eastern China Y. Zhang et al. https://doi.org/10.5194/acp-17-14501-2017
73. Impact of the coal banning zone on visibility in the Beijing-Tianjin-Hebei region G. Liu et al. https://doi.org/10.1016/j.scitotenv.2019.07.006
74. Retrieval of surface PM2.5 mass concentrations over North China using visibility measurements and GEOS-Chem simulations S. Li et al. https://doi.org/10.1016/j.atmosenv.2019.117121
75. Characteristics of Turbulence and Aerosol Optical and Radiative Properties during Haze–Fog Episodes in Shenyang, Northeast China X. Li et al. https://doi.org/10.3390/atmos12121658
76. The role of seasonal characteristics in addressing scattering species for improved visibility in Shanghai, China W. Zhu et al. https://doi.org/10.1016/j.scitotenv.2024.175901
77. Daytime and nighttime chemical and optical properties of fine and coarse particles at a central Mediterranean coastal site M. Perrone et al. https://doi.org/10.1007/s11356-021-18173-z
78. Review of online source apportionment research based on observation for ambient particulate matter F. Wang et al. https://doi.org/10.1016/j.scitotenv.2020.144095
79. Contrasting impacts of policy interventions and population mobility on organic aerosols and oxygenated volatile organic compounds in Beijing Y. Zhang et al. https://doi.org/10.1016/j.envpol.2026.128408
80. 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. https://doi.org/10.1016/j.atmosenv.2025.121335
81. Effects of relative humidity and PM2.5 chemical compositions on visibility impairment in Chengdu, China F. Liu et al. https://doi.org/10.1016/j.jes.2019.05.004
82. Impacts of PM2.5 Chemical Composition on Aerosol Light Extinction During the Xi’an International Horticultural Expo of China Q. Wang et al. https://doi.org/10.12974/2311-8741.2020.08.4
83. Adverse impacts of fog events during winter on fine particulate matter, CO and VOCs: a case study of a highway near Dhanbad, India S. Gupta & S. Elumalai https://doi.org/10.1002/wea.3000
84. Characteristics of aerosol pollution during heavy haze events in Suzhou, China M. Tian et al. https://doi.org/10.5194/acp-16-7357-2016
85. Evolution process and sources of ambient volatile organic compounds during a severe haze event in Beijing, China R. Wu et al. https://doi.org/10.1016/j.scitotenv.2016.04.030
86. Spatial Distribution of Secondary Organic Aerosol Formation Potential in China Derived from Speciated Anthropogenic Volatile Organic Compound Emissions R. Wu & S. Xie https://doi.org/10.1021/acs.est.8b01269
87. Hygroscopic growth and activation changed submicron aerosol composition and properties in the North China Plain W. Xu et al. https://doi.org/10.5194/acp-24-9387-2024
88. Indoor air quality in a domestic environment: Combined contribution of indoor and outdoor PM sources L. Tofful et al. https://doi.org/10.1016/j.buildenv.2021.108050
89. Rapid mass growth and enhanced light extinction of atmospheric aerosols during the heating season haze episodes in Beijing revealed by aerosol–chemistry–radiation–boundary layer interaction Z. Lin et al. https://doi.org/10.5194/acp-21-12173-2021
90. Submicron aerosols during the Beijing Asia–Pacific Economic Cooperation conference in 2014 J. Zhang et al. https://doi.org/10.1016/j.atmosenv.2015.06.049
91. Increased inorganic aerosol fraction contributes to air pollution and haze in China Y. Wang et al. https://doi.org/10.5194/acp-19-5881-2019
92. Insights into measurements of water-soluble ions in PM2.5 and their gaseous precursors in Beijing J. Su et al. https://doi.org/10.1016/j.jes.2020.08.031
93. Intensive optical parameters of pollution sources identified by the positive matrix factorization technique S. Romano et al. https://doi.org/10.1016/j.atmosres.2020.105029
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95. The interdecadal worsening of weather conditions affecting aerosol pollution in the Beijing area in relation to climate warming X. Zhang et al. https://doi.org/10.5194/acp-18-5991-2018
96. Shipboard Observations of Aerosol Chemical Properties Over the Western Pacific Ocean in Winter 2018 Y. Ma et al. https://doi.org/10.1029/2023JD039422
97. Elemental Carbon Observed at a Peri-Urban Forest Site near the Seoul Metropolitan Area as a Tracer of Seasonal Haze Occurrence J. Ham et al. https://doi.org/10.3390/atmos12121627
98. Seasonal variation and secondary formation of size-segregated aerosol water-soluble inorganic ions during pollution episodes in Beijing X. Huang et al. https://doi.org/10.1016/j.atmosres.2015.08.021
99. Significant decreases in the volatile organic compound concentration, atmospheric oxidation capacity and photochemical reactivity during the National Day holiday over a suburban site in the North China Plain Y. Yang et al. https://doi.org/10.1016/j.envpol.2020.114657
100. Estimating Submicron Aerosol Mixing State at the Global Scale With Machine Learning and Earth System Modeling Z. Zheng et al. https://doi.org/10.1029/2020EA001500
101. Spatio-temporal variation of wind influence on distribution of fine particulate matter and its precursor gases H. Karimian et al. https://doi.org/10.1016/j.apr.2018.06.005
102. Optical properties and source identification of black carbon and brown carbon: comparison of winter and summer haze episodes in Xi'an, Northwest China Q. Zhang et al. https://doi.org/10.1039/C9EM00320G
103. Long-term (1975–2016) variations of aerosol optical depth in South Central Hebei Plain, China, and its correlations with East Asian monsoon and economic activities L. Zhang et al. https://doi.org/10.1007/s12517-020-06438-9
104. A study of aerosol properties based on observations of particulate matter from the U.S. Embassy in Beijing, China A. Mukherjee & D. Toohey https://doi.org/10.1002/2016EF000367
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107. Estimation of PM2.5 Mass Concentration from Visibility D. Ji et al. https://doi.org/10.1007/s00376-020-0009-7
108. A one-year, on-line, multi-site observational study on water-soluble inorganic ions in PM 2.5 over the Pearl River Delta region, China J. Liu et al. https://doi.org/10.1016/j.scitotenv.2017.06.039
109. Catalytic sulfate formation mechanism influenced by important constituents of cloud waterviathe reaction of SO2oxidized by hypobromic acid in marine areas J. Liu et al. https://doi.org/10.1039/D1CP01981C
110. Changes in chemical components of aerosol particles in different haze regions in China from 2006 to 2013 and contribution of meteorological factors X. Zhang et al. https://doi.org/10.5194/acp-15-12935-2015
111. Real-time chemical characterization of atmospheric particulate matter in China: A review Y. Li et al. https://doi.org/10.1016/j.atmosenv.2017.02.027
112. Significant Climate Impact of Highly Hygroscopic Atmospheric Aerosols in Delhi, India Y. Wang & Y. Chen https://doi.org/10.1029/2019GL082339
113. Influence of pollutants on activity of aerosol cloud condensation nuclei (CCN) during pollution and post-rain periods in Guangzhou, southern China J. Duan et al. https://doi.org/10.1016/j.scitotenv.2018.06.053
114. Chemical Differences Between PM1 and PM2.5 in Highly Polluted Environment and Implications in Air Pollution Studies Y. Sun et al. https://doi.org/10.1029/2019GL086288
115. Atmospheric aerosol nucleation: a methodological review of theoretical calculations and molecular simulation Y. Lian et al. https://doi.org/10.1039/D6EA00026F
116. Machine learning analysis of PM1 impact on visibility with comprehensive sensitivity evaluation of concentration, composition, and meteorological factors G. Majewski et al. https://doi.org/10.1038/s41598-024-67576-8
117. Impacts of Aerosol Chemical Composition on Cloud Condensation Nuclei (CCN) Activity during Wintertime in Beijing, China Q. Liu et al. https://doi.org/10.3390/rs15174119
118. Exploring the inorganic and organic nitrate aerosol formation regimes at a suburban site on the North China Plain W. Huang et al. https://doi.org/10.1016/j.scitotenv.2020.144538
119. New particle formation event detection with convolutional neural networks X. Zhang et al. https://doi.org/10.1016/j.atmosenv.2024.120487
120. Insights into the morphology of multicomponent organic and inorganic aerosols from molecular dynamics simulations K. Karadima et al. https://doi.org/10.5194/acp-19-5571-2019
121. How protective is China’s National Ambient Air Quality Standards on short-term PM2.5? Findings from blood pressure measurements of 1 million adults T. Guan et al. https://doi.org/10.1088/1748-9326/abccf4
122. Characteristics of PM2.5 and SNA components and meteorological factors impact on air pollution through 2013–2017 in Beijing, China X. Wang et al. https://doi.org/10.1016/j.apr.2019.09.004
123. Trends of Planetary Boundary Layer Height Over Urban Cities of China From 1980–2018 Y. Huo et al. https://doi.org/10.3389/fenvs.2021.744255
124. Characteristics, formation, and sources of PM2.5 in 2020 in Suzhou, Yangtze River Delta, China Y. Li et al. https://doi.org/10.1016/j.envres.2022.113545
125. Inversion of Aerosol Chemical Composition in the Beijing–Tianjin–Hebei Region Using a Machine Learning Algorithm B. Li et al. https://doi.org/10.3390/atmos16020114