105 citations as recorded by crossref.

1. The contribution of residential coal combustion to atmospheric PM<sub>2. 5</sub> in northern China during winter P. Liu et al. 10.5194/acp-17-11503-2017
2. The integrating sphere system plus in-situ absorption monitoring: A new scheme to study absorption enhancement of black carbon in ambient aerosols Z. Li et al. 10.1016/j.scitotenv.2023.164355
3. Seasonal variation of driving factors of ambient PM2.5 oxidative potential in Shenzhen, China C. Xing et al. 10.1016/j.scitotenv.2022.160771
4. Sources of non-fossil-fuel emissions in carbonaceous aerosols during early winter in Chinese cities D. Liu et al. 10.5194/acp-17-11491-2017
5. Study on the oxidation potential of the water-soluble components of ambient PM2.5 over Xi’an, China: Pollution levels, source apportionment and transport pathways Y. Wang et al. 10.1016/j.envint.2020.105515
6. Diverse and high pollution of microplastics in seasonal snow across Northeastern China H. Wen et al. 10.1016/j.scitotenv.2023.167923
7. Spatiotemporal Characteristics and Regional Variations of Active Fires in China since 2001 C. Lian et al. 10.3390/rs15010054
8. Determining the Sources and Transport of Brown Carbon Using Radionuclide Tracers and Modeling H. Jiang et al. 10.1029/2021JD034616
9. Chemical nature of PM2.5 and PM10 in the coastal urban Xiamen, China: Insights into the impacts of shipping emissions and health risk S. Wu et al. 10.1016/j.atmosenv.2020.117383
10. Characteristics and sources of carbonaceous aerosol across urban and rural sites in a rapidly urbanized but low-level industrialized city in the Sichuan Basin, China W. Yang et al. 10.1007/s11356-019-05242-7
11. Accelerating decline of wildfires in China in the 21st century C. Lian et al. 10.3389/ffgc.2023.1252587
12. 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. 10.1016/j.envpol.2018.01.116
13. Quantifying the seasonal variations in and regional transport of PM2.5 in the Yangtze River Delta region, China: characteristics, sources, and health risks Y. Zhan et al. 10.5194/acp-23-9837-2023
14. High-time-resolution PM2.5 source apportionment based on multi-model with organic tracers in Beijing during haze episodes L. Lv et al. 10.1016/j.scitotenv.2020.144766
15. Health risk assessment and source apportionment of PM2.5-bound toxic elements in the industrial city of Siheung, Korea Y. Lee et al. 10.1007/s11356-022-20462-0
16. Chemical Composition and Source Apportionment of PM2.5 in a Border City in Southwest China J. Shi et al. 10.3390/atmos13010007
17. 2005–2014 trends of PM10 source contributions in an industrialized area of southern Spain J. Li et al. 10.1016/j.envpol.2018.01.101
18. Long‐Term Evolution of Particulate Nitrate Pollution in North China: Isotopic Evidence From 10 Offshore Cruises in the Bohai Sea From 2014 to 2019 Z. Zong et al. 10.1029/2022JD036567
19. Association of systemic inflammation and coagulation biomarkers with source-specific PM2.5 mass concentrations among young and elderly subjects in central Tehran A. Altuwayjiri et al. 10.1080/10962247.2020.1806140
20. New insights into the formation of ammonium nitrate from a physical and chemical level perspective Y. Wei et al. 10.1007/s11783-023-1737-6
21. PM2.5 carbonaceous components and mineral dust at a COALESCE network site - Bhopal, India: Estimating site-specific optical characteristics A. Bhardwaj et al. 10.1016/j.scitotenv.2023.163277
22. Assessment of the effects of straw burning bans in China: Emissions, air quality, and health impacts L. Huang et al. 10.1016/j.scitotenv.2021.147935
23. Source apportionment of PM2.5 in Seoul, South Korea and Beijing, China using dispersion normalized PMF J. Park et al. 10.1016/j.scitotenv.2022.155056
24. Dual-modelling-based source apportionment of NOx in five Chinese megacities: Providing the isotopic footprint from 2013 to 2014 Z. Zong et al. 10.1016/j.envint.2020.105592
25. Analysis of Chemical Composition Characteristics and Source of PM2.5 under Different Pollution Degrees in Autumn and Winter of Liaocheng, China J. Zhang et al. 10.3390/atmos12091180
26. Source apportionment of PM 2.5 at the Lin'an regional background site in China with three receptor models J. Deng et al. 10.1016/j.atmosres.2017.11.017
27. Source apportionment of fine particulate matter at different underground sites in the Chengdu metro system in summer S. Huang et al. 10.1016/j.buildenv.2023.111081
28. Investigation of organic carbon profiles and sources of coarse PM in Los Angeles R. Tohidi et al. 10.1016/j.envpol.2022.120264
29. Characterization and source identification of fine particulate matter in urban Beijing during the 2015 Spring Festival D. Ji et al. 10.1016/j.scitotenv.2018.01.304
30. Characteristics of aerosol aminiums over a coastal city in North China: Insights from the divergent impacts of marine and terrestrial influences Y. Yang et al. 10.1016/j.scitotenv.2024.170672
31. Nitrogen isotope composition of ammonium in PM2.5 in the Xiamen, China: impact of non-agricultural ammonia S. Wu et al. 10.1007/s11356-019-05813-8
32. Spatial characteristics of fine particulate matter in subway stations: Source apportionment and health risks W. Ji et al. 10.1016/j.envpol.2022.119279
33. A review of current knowledge concerning PM<sub>2. 5</sub> chemical composition, aerosol optical properties and their relationships across China J. Tao et al. 10.5194/acp-17-9485-2017
34. Flux and source-sink relationship of heavy metals and arsenic in the Bohai Sea, China X. Liang et al. 10.1016/j.envpol.2018.08.011
35. The effect of mixed layer across air mass trajectory pathways on PM2.5 constituent levels: The case of a major urban center in the Eastern Mediterranean K. Dimitriou et al. 10.1016/j.apr.2024.102129
36. Source apportionment of ambient PM2.5 in two locations in central Tehran using the Positive Matrix Factorization (PMF) model S. Taghvaee et al. 10.1016/j.scitotenv.2018.02.096
37. Molecular marker study of aerosols in the northern South China Sea: Impact of atmospheric outflow from the Indo-China Peninsula and South China X. Geng et al. 10.1016/j.atmosenv.2019.02.033
38. Seasonal trend and source identification of polycyclic aromatic hydrocarbons associated with fine particulate matters (PM2.5) in Isfahan City, Iran, using diagnostic ratio and PMF model M. Soleimani et al. 10.1007/s11356-021-17635-8
39. First Assessment of NOx Sources at a Regional Background Site in North China Using Isotopic Analysis Linked with Modeling Z. Zong et al. 10.1021/acs.est.6b06316
40. Potential health risks of inhaled toxic elements and risk sources during different COVID-19 lockdown stages in Linfen, China Y. Wang et al. 10.1016/j.envpol.2021.117454
41. Haze-day Trends from 2013 to 2020 and Analysis of Spatiotemporal Characteristics of a Haze Process in Ningbo, China L. Hu et al. 10.1088/1742-6596/2112/1/012009
42. Pollution Characteristics of Environmental Persistent Free Radicals (Epfrs) and Their Contribution to Oxidation Potential in Road Dust in a Large City in Northwest China H. Li et al. 10.2139/ssrn.4159397
43. Sources of PM2.5-bound water soluble ions at EMEP’s Auchencorth Moss (UK) supersite revealed by 3D-Concentration Weighted Trajectory (CWT) model K. Dimitriou et al. 10.1016/j.chemosphere.2021.129979
44. PMF and PSCF based source apportionment of PM2.5 at a regional background site in North China Z. Zong et al. 10.1016/j.atmosres.2017.12.013
45. Speciation and source changes of atmospheric arsenic in Qingdao from 2016 to 2020 - Response to control policies in China H. Sun et al. 10.1016/j.chemosphere.2022.137438
46. Spatial Distribution and Source of Inorganic Elements in PM2.5 During a Typical Winter Haze Episode in Guilin, China T. Long et al. 10.1007/s00244-020-00736-9
47. Seasonal characteristics of PM2.5 and its chemical species in the northern rural China K. Liu & J. Ren 10.1016/j.apr.2020.08.005
48. The characteristics of atmospheric brown carbon in Xi'an, inland China: sources, size distributions and optical properties C. Wu et al. 10.5194/acp-20-2017-2020
49. Investigation of a haze-to-dust and dust swing process at a coastal city in northern China part I: Chemical composition and contributions of anthropogenic and natural sources W. Zhu et al. 10.1016/j.scitotenv.2022.158270
50. Real-time measurements of mineral dust concentration in coarse particulate matter (PM10–2.5) by employing a novel optical-based technique in Los Angeles R. Tohidi et al. 10.1016/j.scitotenv.2022.156215
51. Chemical characteristics, source apportionment, and regional contribution of PM2.5 in Zhangjiakou, Northern China: A multiple sampling sites observation and modeling perspective Y. Liu et al. 10.1016/j.envadv.2021.100034
52. High-time-resolution source apportionment of PM<sub>2.5</sub> in Beijing with multiple models Y. Liu et al. 10.5194/acp-19-6595-2019
53. Size-segregated source identification of water-soluble and water-insoluble metals and trace elements of coarse and fine PM in central Los Angeles M. Badami et al. 10.1016/j.atmosenv.2023.119984
54. Optical properties closure and sources of size-resolved aerosol in Nanjing around summer harvest period L. Yao et al. 10.1016/j.atmosenv.2020.118017
55. Source apportionment and regional transport of PM2.5 during haze episodes in Beijing combined with multiple models L. Lv et al. 10.1016/j.atmosres.2021.105957
56. Long-term trends in the contribution of PM2.5sources to organic carbon (OC) in the Los Angeles basin and the effect of PM emission regulations A. Altuwayjiri et al. 10.1039/D0FD00074D
57. Concentrations, Source Characteristics, and Health Risk Assessment of Toxic Heavy Metals in PM2.5 in a Plateau City (Kunming) in Southwest China X. Han et al. 10.3390/ijerph182111004
58. Characteristics and source identification of fine particles in the Nanchang subway, China S. Huang et al. 10.1016/j.buildenv.2021.107925
59. Development and assessment of a receptor source apportionment model based on four nonnegative matrix factorization algorithms H. Liu et al. 10.1016/j.atmosenv.2018.10.037
60. Chemical characteristics and source apportionment of PM2.5 in a petrochemical city: Implications for primary and secondary carbonaceous component G. Yan et al. 10.1016/j.jes.2020.11.012
61. Burden of typical diseases attributed to the sources of PM2.5-bound toxic metals in Beijing: An integrated approach to source apportionment and QALYs J. Liu et al. 10.1016/j.envint.2019.105041
62. Postharvest Burning of Crop Residues in Home Stoves in a Rural Site of Daejeon, Korea: Its Impact to Atmospheric Carbonaceous Aerosol J. Jung & J. Kang 10.3390/atmos12020257
63. Variations in FINN Emissions of Particulate Matters and Associated Carbonaceous Aerosols from Remote Sensing of Open Biomass Burning over Northeast China during 2002–2016 G. Ma et al. 10.3390/su10093353
64. Impacts of short-term mitigation measures on PM<sub>2.5</sub> and radiative effects: a case study at a regional background site near Beijing, China Q. Wang et al. 10.5194/acp-19-1881-2019
65. Comparative study of chemical characterization and source apportionment of PM2.5 in South China by filter-based and single particle analysis J. Mao et al. 10.1525/elementa.2021.00046
66. Mass Concentration, Chemical Composition, and Source Characteristics of PM2.5 in a Plateau Slope City in Southwest China J. Shi et al. 10.3390/atmos12050611
67. A comprehensive biomass burning emission inventory with high spatial and temporal resolution in China Y. Zhou et al. 10.5194/acp-17-2839-2017
68. Approaches for identifying PM2.5 source types and source areas at a remote background site of South China in spring K. Zhang et al. 10.1016/j.scitotenv.2019.07.178
69. Source apportionment of size-segregated atmospheric particles and the influence of particles deposition in the human respiratory tract in rural and urban locations of north-east India R. Garaga et al. 10.1016/j.chemosphere.2020.126980
70. Source apportionment of the oxidative potential of fine ambient particulate matter (PM2.5) in Athens, Greece S. Taghvaee et al. 10.1016/j.scitotenv.2018.11.016
71. Assessing the contribution of open crop straw burning to ground-level ozone and associated health impacts in China and the effectiveness of straw burning bans L. Huang et al. 10.1016/j.envint.2022.107710
72. Identifying the fundamental drives behind the 10-year evolution of northern China's rural household energy and emission: Implications for 2030 and beyond Y. Zhang et al. 10.1016/j.scitotenv.2022.161053
73. Assessment and quantification of NOx sources at a regional background site in North China: Comparative results from a Bayesian isotopic mixing model and a positive matrix factorization model Z. Zong et al. 10.1016/j.envpol.2018.08.026
74. The importance of photochemical loss to source analysis and ozone formation potential: Implications from in-situ observations of volatile organic compounds (VOCs) in Guangzhou, China C. He et al. 10.1016/j.atmosenv.2023.120320
75. The impacts of pollution control measures on PM2.5 reduction: Insights of chemical composition, source variation and health risk H. Zheng et al. 10.1016/j.atmosenv.2018.10.023
76. Effect of Different Combustion Processes on Atmospheric Nitrous Acid Formation Mechanisms: A Winter Comparative Observation in Urban, Suburban and Rural Areas of the North China Plain W. Zhang et al. 10.1021/acs.est.1c07784
77. Determining the number of factors for non-negative matrix and its application in source apportionment of air pollution in Singapore M. Yan et al. 10.1007/s00477-019-01677-z
78. Neglected biomass burning emissions of air pollutants in China-views from the corncob burning test, emission estimation, and simulations J. Wu et al. 10.1016/j.atmosenv.2022.119082
79. Seasonal distributions and possible sources of low molecular weight organic acids in PM2.5 from a typical mining city after decade green mining developing in Southeastern Hubei, Central China S. Liu et al. 10.1016/j.atmosenv.2024.120455
80. Estimating premature mortality attributable to PM2.5 exposure and benefit of air pollution control policies in China for 2020 K. Maji et al. 10.1016/j.scitotenv.2017.08.254
81. A Review of Recent Advances in Research on PM2.5 in China Y. Lin et al. 10.3390/ijerph15030438
82. Investigation of Organic Carbon Profiles and Sources of Coarse Pm in Los Angeles R. Tohidi et al. 10.2139/ssrn.4157124
83. Quantifying the relative importance of major tracers for fine particles released from biofuel combustion in households in the rural North China Plain J. Tao et al. 10.1016/j.envpol.2020.115764
84. Combining Positive Matrix Factorization and Radiocarbon Measurements for Source Apportionment of PM2.5 from a National Background Site in North China X. Wang et al. 10.1038/s41598-017-10762-8
85. Trace elements in PM2.5 in Shandong Province: Source identification and health risk assessment J. Zhang et al. 10.1016/j.scitotenv.2017.11.292
86. Differing effects of escalating pollution on absorption and scattering efficiencies of aerosols: Toward co-beneficial air quality enhancement and climate protection measures Y. Zhang et al. 10.1016/j.atmosenv.2020.117570
87. Preparation and characterization of dissolving pulp and lyocell fibers from corncob G. Yang et al. 10.1007/s10570-023-05179-8
88. Six sources mainly contributing to the haze episodes and health risk assessment of PM2.5 at Beijing suburb in winter 2016 X. Xu et al. 10.1016/j.ecoenv.2018.09.069
89. In situ biomass burning enhanced the contribution of biogenic sources to sulfate aerosol in subtropical cities T. Li et al. 10.1016/j.scitotenv.2023.168384
90. The characterization of fine particulate matter downwind of Houston: Using integrated factor analysis to identify anthropogenic and natural sources B. Sadeghi et al. 10.1016/j.envpol.2020.114345
91. Source Apportionment of PM2.5 in Guangzhou Based on an Approach of Combining Positive Matrix Factorization with the Bayesian Mixing Model and Radiocarbon T. Li et al. 10.3390/atmos11050512
92. Long-term trends in concentrations and sources of PM2.5–bound metals and elements in central Los Angeles V. Farahani et al. 10.1016/j.atmosenv.2021.118361
93. Estimation of the contribution of biomass fuel burning activities in North Korea to the air quality in Seoul, South Korea: Application of the 3D-PSCF method I. Kim et al. 10.1016/j.atmosres.2019.104628
94. Identification of species and sources of atmospheric chromophores by fluorescence excitation-emission matrix with parallel factor analysis Q. Chen et al. 10.1016/j.scitotenv.2020.137322
95. Real-time emission and stage-dependent emission factors/ratios of specific volatile organic compounds from residential biomass combustion in China Y. Zhang et al. 10.1016/j.atmosres.2020.105189
96. Application of machine learning algorithms to improve numerical simulation prediction of PM2.5 and chemical components L. Lv et al. 10.1016/j.apr.2021.101211
97. New insights into the sources and formation of carbonaceous aerosols in China: potential applications of dual-carbon isotopes F. Cao et al. 10.1093/nsr/nwx097
98. Characteristics of indoor and outdoor fine particles in heating period at urban, suburban, and rural sites in Harbin, China W. Fang et al. 10.1007/s11356-019-06640-7
99. Chemical characterization and source identification of PM<sub>2.5</sub> at multiple sites in the Beijing–Tianjin–Hebei region, China X. Huang et al. 10.5194/acp-17-12941-2017
100. Impact of COVID-19 lockdown on the optical properties and radiative effects of urban brown carbon aerosol Y. Zhang et al. 10.1016/j.gsf.2021.101320
101. Quantifying ambient concentrations of primary and secondary organic aerosol in central Los Angeles using an integrated approach coupling source apportionment with regression analysis R. Tohidi et al. 10.1016/j.atmosenv.2021.118807
102. Striking impacts of biomass burning on PM2.5 concentrations in Northeast China through the emission inventory improvement L. Chen et al. 10.1016/j.envpol.2022.120835
103. Spatiotemporal variation of domestic biomass burning emissions in rural China based on a new estimation of fuel consumption X. Xing et al. 10.1016/j.scitotenv.2018.01.048
104. Estimating the open biomass burning emissions in central and eastern China from 2003 to 2015 based on satellite observation J. Wu et al. 10.5194/acp-18-11623-2018
105. Spatiotemporal patterns and source implications of aromatic hydrocarbons at six rural sites across China's developed coastal regions Z. Zhang et al. 10.1002/2016JD025115