339 citations as recorded by crossref.

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4. Wildfires and wood stoves: Woodsmoke toxicity and chemical characterization study in the north-western United States O. Hadley et al. 10.1016/j.atmosenv.2021.118347
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6. PM2.5 monitoring during a 10-year period: relation between elemental concentration and meteorological conditions P. Sanguineti et al. 10.1007/s10661-020-08288-0
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9. Long-term trends and source apportionment of fine particulate matter (PM2.5) and gaseous pollutants in Auckland, New Zealand L. Boamponsem et al. 10.1016/j.atmosenv.2024.120392
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16. PMF5.0 vs. CMB8.2: An inter-comparison study based on the new European SPECIEUROPE database M. Bove et al. 10.1016/j.atmosres.2017.10.021
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18. Seasonal variability of PM<sub>2.5</sub> composition and sources in the Klang Valley urban-industrial environment N. Amil et al. 10.5194/acp-16-5357-2016
19. Levels and sources of hourly PM2.5-related elements during the control period of the COVID-19 pandemic at a rural site between Beijing and Tianjin Y. Cui et al. 10.1016/j.scitotenv.2020.140840
20. 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
21. Real-time measurements of non-methane volatile organic compounds in the central Indo-Gangetic basin, Lucknow, India: source characterisation and their role in O3 and secondary organic aerosol formation V. Jain et al. 10.5194/acp-23-3383-2023
22. Improving apportionment of PM2.5 using multisite PMF by constraining G-values with a prioriinformation Q. Dai et al. 10.1016/j.scitotenv.2020.139657
23. Characterization of aerosol sources in León (Spain) using Positive Matrix Factorization and weather types F. Oduber et al. 10.1016/j.scitotenv.2020.142045
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25. Characterisation of atmospheric pollution near an industrial site with a biogas production and combustion plant in southern Italy E. Merico et al. 10.1016/j.scitotenv.2020.137220
26. Brown carbon from biomass burning imposes strong circum-Arctic warming S. Yue et al. 10.1016/j.oneear.2022.02.006
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28. Inter-comparison of source apportionment of PM10 using PMF and CMB in three sites nearby an industrial area in central Italy D. Cesari et al. 10.1016/j.atmosres.2016.08.003
29. Source apportionment and health risk assessment of PM2.5-bound elements on winter pollution days in industrial cities on the northern slope of Tianshan Mountain, China K. Cheng et al. 10.1016/j.apr.2024.102036
30. Assessment of PM2.5 sources and their corresponding level of uncertainty in a coastal urban area using EPA PMF 5.0 enhanced diagnostics M. Manousakas et al. 10.1016/j.scitotenv.2016.09.047
31. Source apportionment of airborne nanoparticles in a Middle Eastern city using positive matrix factorization A. Al-Dabbous & P. Kumar 10.1039/C5EM00027K
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33. Enrichment of Organic Acids in Fine Particles Over a Megacity in South China X. Fu et al. 10.1029/2022JD037495
34. Evaluation of the 13 May 2018 frontal dust storm in Shiraz: Stable isotopes signature, source apportionment, and concentration of potentially toxic elements M. Nematollahi et al. 10.1016/j.aeolia.2022.100820
35. Characterization and Source Analysis of Pollution Caused by Atmospheric Volatile Organic Compounds in the Spring, Kunming, China S. Xie et al. 10.3390/atmos14121767
36. Assessment of fine and sub-micrometer aerosols at an urban environment of Argentina M. Achad et al. 10.1016/j.atmosenv.2014.05.001
37. Source apportionment of wide range particle size spectra and black carbon collected at the airport of Venice (Italy) M. Masiol et al. 10.1016/j.atmosenv.2016.05.018
38. PM2.5 in Abuja, Nigeria: Chemical characterization, source apportionment, temporal variations, transport pathways and the health risks assessment I. Sulaymon et al. 10.1016/j.atmosres.2019.104833
39. PM2.5 in Cape Town, South Africa: Chemical characterization and source apportionment using dispersion-normalised positive matrix factorization A. Alfeus et al. 10.1016/j.apr.2023.102025
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41. Changes in source specific PM2.5 from 2010 to 2019 in New York and New Jersey identified by dispersion normalized PMF Y. Chen et al. 10.1016/j.atmosres.2024.107353
42. Characterization of fresh PM deposits on calcareous stone surfaces: Seasonality, source apportionment and soiling potential M. Ogrizek et al. 10.1016/j.scitotenv.2022.159012
43. Source apportionment of ambient particle number concentrations in central Los Angeles using positive matrix factorization (PMF) M. Sowlat et al. 10.5194/acp-16-4849-2016
44. Optical source apportionment and radiative effect of light-absorbing carbonaceous aerosols in a tropical marine monsoon climate zone: the importance of ship emissions Q. Wang et al. 10.5194/acp-20-15537-2020
45. Characterization and source apportionment of organic aerosol using offline aerosol mass spectrometry K. Daellenbach et al. 10.5194/amt-9-23-2016
46. Chemical Composition and Source Apportionment of PM2.5 in a Border City in Southwest China J. Shi et al. 10.3390/atmos13010007
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48. Distribution, pollution status, and source apportionment of trace metals in lake sediments under the influence of the South-to-North Water Transfer Project, China W. Zhuang et al. 10.1016/j.scitotenv.2019.03.306
49. Annual exposure to polycyclic aromatic hydrocarbons in urban environments linked to wintertime wood-burning episodes I. Tsiodra et al. 10.5194/acp-21-17865-2021
50. Source apportionment of heavy metals in soils around a coal gangue heap with the APCS-MLR and PMF receptor models in Chongqing, southwest China J. Ma et al. 10.1007/s11629-022-7819-2
51. Evolution of Organic Aerosols in the South Asian Outflow to the Northern Indian Ocean T. Ajith et al. 10.1021/acsearthspacechem.3c00059
52. Time‐Resolved Measurements of PM2.5 Chemical Composition and Brown Carbon Absorption in Nanjing, East China: Diurnal Variations and Organic Tracer‐Based PMF Analysis W. Feng et al. 10.1029/2023JD039092
53. Source apportionment of PM2.5 at multiple Northwest U.S. sites: Assessing regional winter wood smoke impacts from residential wood combustion R. Kotchenruther 10.1016/j.atmosenv.2016.07.048
54. Source apportionment of PM2.5 before and after COVID-19 lockdown in an urban-industrial area of the Lisbon metropolitan area, Portugal C. Gamelas et al. 10.1016/j.uclim.2023.101446
55. Chemical composition and source-apportionment of sub-micron particles during wintertime over Northern India: New insights on influence of fog-processing P. Rajput et al. 10.1016/j.envpol.2017.10.036
56. Eight years of sub-micrometre organic aerosol composition data from the boreal forest characterized using a machine-learning approach L. Heikkinen et al. 10.5194/acp-21-10081-2021
57. Urban increments of gaseous and aerosol pollutants and their sources using mobile aerosol mass spectrometry measurements M. Elser et al. 10.5194/acp-16-7117-2016
58. Molecular and elemental marker-based source apportionment of fine particulate matter at six sites in Hong Kong, China W. Chow et al. 10.1016/j.scitotenv.2021.152652
59. Source apportionment of NMVOCs in the Kathmandu Valley during the SusKat-ABC international field campaign using positive matrix factorization C. Sarkar et al. 10.5194/acp-17-8129-2017
60. Assessment of the Risk of Non-Cancerous Diseases under the Exposure of Heavy Element in Urban Areas and Troubleshooting Pollutant Sources (The Case of Zanjan) Z. Farahmandkia et al. 10.29252/jhehp.2.3.177
61. Hybrid multiple-site mass closure and source apportionment of PM2.5 and aerosol acidity at major cities in the Po Valley M. Masiol et al. 10.1016/j.scitotenv.2019.135287
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63. Source apportionment and ecological health risks assessment from major ions, metalloids and trace elements in multi-aquifer groundwater near the Sunan mine area, Eastern China Q. Ju et al. 10.1016/j.scitotenv.2022.160454
64. Atmospheric volatile halogenated hydrocarbons in air pollution episodes in an urban area of Beijing: Characterization, health risk assessment and sources apportionment H. Zhang et al. 10.1016/j.scitotenv.2021.150283
65. Trends and source apportionment of atmospheric heavy metals at a subarctic site during 1996–2018 K. Kyllönen et al. 10.1016/j.atmosenv.2020.117644
66. Sources of particulate matter components in the Athabasca oil sands region: investigation through a comparison of trace element measurement methodologies C. Phillips-Smith et al. 10.5194/acp-17-9435-2017
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68. The Red Sea Deep Water is a potent source of atmospheric ethane and propane E. Bourtsoukidis et al. 10.1038/s41467-020-14375-0
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70. Identifying the sources of PM2.5 at a COALESCE site in the Brahmaputra Valley Region using dispersion normalized PMF A. Qadri et al. 10.1016/j.atmosenv.2024.120501
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73. Receptor modeling of environmental aerosol data using MLPCA-MCR-ALS Y. Izadmanesh et al. 10.1016/j.chemolab.2017.05.008
74. Response of PM2.5-bound elemental species to emission variations and associated health risk assessment during the COVID-19 pandemic in a coastal megacity G. Wang et al. 10.1016/j.jes.2021.10.005
75. Source apportionment of soil PTE in a northern industrial county using PMF model: Partitioning strategies and uncertainty analysis B. Shi et al. 10.1016/j.envres.2024.118855
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