83 citations as recorded by crossref.

1. Investigating the annual behaviour of submicron secondary inorganic and organic aerosols in London D. Young et al. 10.5194/acp-15-6351-2015
2. Spatiotemporal variations of air pollutants in western China and their relationship to meteorological factors and emission sources J. Yang et al. 10.1016/j.envpol.2019.07.120
3. Overview of the French Operational Network for In Situ Observation of PM Chemical Composition and Sources in Urban Environments (CARA Program) O. Favez et al. 10.3390/atmos12020207
4. Sources of Wintertime Atmospheric Organic Pollutants in a Large Canadian City: Insights from Particle and Gas Phase Measurements L. Rivellini et al. 10.1021/acsestair.4c00039
5. In situ, satellite measurement and model evidence on the dominant regional contribution to fine particulate matter levels in the Paris megacity M. Beekmann et al. 10.5194/acp-15-9577-2015
6. Size-segregated particle number and mass concentrations from different emission sources in urban Beijing J. Cai et al. 10.5194/acp-20-12721-2020
7. In situ formation and spatial variability of particle number concentration in a European megacity M. Pikridas et al. 10.5194/acp-15-10219-2015
8. Dynamic effect analysis of meteorological conditions on air pollution: A case study from Beijing Y. Zhang 10.1016/j.scitotenv.2019.05.360
9. A 1-year characterization of organic aerosol composition and sources using an extractive electrospray ionization time-of-flight mass spectrometer (EESI-TOF) L. Qi et al. 10.5194/acp-20-7875-2020
10. Quantification of primary and secondary organic aerosol sources by combined factor analysis of extractive electrospray ionisation and aerosol mass spectrometer measurements (EESI-TOF and AMS) Y. Tong et al. 10.5194/amt-15-7265-2022
11. Sources of organic aerosols in Europe: a modeling study using CAMx with modified volatility basis set scheme J. Jiang et al. 10.5194/acp-19-15247-2019
12. SUNSPACE, A Porous Material to Reduce Air Particulate Matter (PM) A. Zanoletti et al. 10.3389/fchem.2018.00534
13. Atmospheric aerosol compositions over the South China Sea: temporal variability and source apportionment H. Xiao et al. 10.5194/acp-17-3199-2017
14. Towards a better understanding of fine PM sources: Online and offline datasets combination in a single PMF M. Via et al. 10.1016/j.envint.2023.108006
15. Simulation of the influence of residential biomass burning on air quality in an urban area E. Siouti et al. 10.1016/j.atmosenv.2023.119897
16. Impact of China's ECA policies on air pollution in coastal cities: Empirical analysis based on synthetic-DID model J. Shi et al. 10.1016/j.cities.2024.104871
17. Deep Inorganic Fraction Characterization of PM10, PM2.5, and PM1 in an Industrial Area Located in Central Italy by Means of Instrumental Neutron Activation Analysis M. Manigrasso et al. 10.3390/app10072532
18. Determination of PM1 Sources at a Prague Background Site during the 2012–2013 Period Using PMF Analysis of Combined Aerosol Mass Spectra O. Makeš et al. 10.3390/atmos13010020
19. Tracing the Formation of Secondary Aerosols Influenced by Solar Radiation and Relative Humidity in Suburban Environment Y. Wu et al. 10.1029/2022JD036913
20. Sources and geographical origins of fine aerosols in Paris (France) M. Bressi et al. 10.5194/acp-14-8813-2014
21. Wintertime aerosol chemical composition and source apportionment of the organic fraction in the metropolitan area of Paris M. Crippa et al. 10.5194/acp-13-961-2013
22. Advancing green analytical solutions: A review of proton transfer reaction mass spectrometry in atmospheric aerosol research Y. Li 10.1016/j.greeac.2024.100175
23. Relationship between the Optical Properties and Chemical Composition of Urban Aerosol Particles in Lithuania J. Pauraite et al. 10.1155/2018/8674173
24. SoFi, an IGOR-based interface for the efficient use of the generalized multilinear engine (ME-2) for the source apportionment: ME-2 application to aerosol mass spectrometer data F. Canonaco et al. 10.5194/amt-6-3649-2013
25. Hydrocarbon composition of tropospheric aerosol in the south of Western Siberia N. Voronetskaya et al. 10.1134/S1024856014060207
26. Combustion process apportionment of carbonaceous particulate emission from a diesel fuel burner L. Mueller et al. 10.1016/j.jaerosci.2016.06.003
27. Dual-isotope ratios of carbonaceous aerosols for seasonal observation and their assessment as source indicators A. Mašalaitė et al. 10.1016/j.scitotenv.2024.175094
28. Biomass-burning sources control ambient particulate matter, but traffic and industrial sources control volatile organic compound (VOC) emissions and secondary-pollutant formation during extreme pollution events in Delhi A. Awasthi et al. 10.5194/acp-24-10279-2024
29. Remote sensing of two exceptional winter aerosol pollution events and representativeness of ground-based measurements A. Baron et al. 10.5194/acp-20-6749-2020
30. Combined-phase source apportionment of ambient PM2.5, PAHs and VOCs from an industrialized environment: Consequences of photochemical initial concentrations U. Sofowote et al. 10.1016/j.atmosenv.2024.120894
31. ACTRIS ACSM intercomparison – Part 1: Reproducibility of concentration and fragment results from 13 individual Quadrupole Aerosol Chemical Speciation Monitors (Q-ACSM) and consistency with co-located instruments V. Crenn et al. 10.5194/amt-8-5063-2015
32. Proton-Transfer-Reaction Mass Spectrometry: Applications in Atmospheric Sciences B. Yuan et al. 10.1021/acs.chemrev.7b00325
33. Characterizing the sources of ambient PM10 organic aerosol in urban and rural Catalonia, Spain M. in 't Veld et al. 10.1016/j.scitotenv.2023.166440
34. Source apportionment of PM<sub>10</sub> in a north-western Europe regional urban background site (Lens, France) using positive matrix factorization and including primary biogenic emissions A. Waked et al. 10.5194/acp-14-3325-2014
35. Seasonal analysis of submicron aerosol in Old Delhi using high-resolution aerosol mass spectrometry: chemical characterisation, source apportionment and new marker identification J. Cash et al. 10.5194/acp-21-10133-2021
36. Assessment of source contributions to air pollution in Beirut, Lebanon: a comparison of source-based and tracer-based modeling approaches A. Waked et al. 10.1007/s11869-014-0298-z
37. Particulate matter, air quality and climate: lessons learned and future needs S. Fuzzi et al. 10.5194/acp-15-8217-2015
38. Characterization and source apportionment of organic aerosol using offline aerosol mass spectrometry K. Daellenbach et al. 10.5194/amt-9-23-2016
39. Spatio-temporal variation of C-PM2.5 (composition based PM2.5) sources using PMF*PMF (double-PMF) and single-combined PMF technique on real-time non-refractory, BC and elemental measurements during post-monsoon and winter at two sites in Delhi, India A. Shukla et al. 10.1016/j.atmosenv.2022.119456
40. Cooking as an organic aerosol source leading to urban air quality degradation I. Stavroulas et al. 10.1016/j.scitotenv.2023.168031
41. Characterization of ice‐nucleating bacteria using on‐line electron impact ionization aerosol mass spectrometry R. Wolf et al. 10.1002/jms.3573
42. Size-Resolved Identification, Characterization, and Quantification of Primary Biological Organic Aerosol at a European Rural Site C. Bozzetti et al. 10.1021/acs.est.5b05960
43. Sources of organic gases and aerosol particles and their roles in nighttime particle growth at a rural forested site in southwest Germany J. Song et al. 10.5194/acp-24-6699-2024
44. Submicron aerosol source apportionment of wintertime pollution in Paris, France by double positive matrix factorization (PMF<sup>2</sup>) using an aerosol chemical speciation monitor (ACSM) and a multi-wavelength Aethalometer J. Petit et al. 10.5194/acp-14-13773-2014
45. Temporal variability and sources of VOCs in urban areas of the eastern Mediterranean C. Kaltsonoudis et al. 10.5194/acp-16-14825-2016
46. Simulation of the cooking organic aerosol concentration variability in an urban area E. Siouti et al. 10.1016/j.atmosenv.2021.118710
47. Two years of near real-time chemical composition of submicron aerosols in the region of Paris using an Aerosol Chemical Speciation Monitor (ACSM) and a multi-wavelength Aethalometer J. Petit et al. 10.5194/acp-15-2985-2015
48. A naming convention for atmospheric organic aerosol B. Murphy et al. 10.5194/acp-14-5825-2014
49. Model simulations of cooking organic aerosol (COA) over the UK using estimates of emissions based on measurements at two sites in London R. Ots et al. 10.5194/acp-16-13773-2016
50. Speciation of organic fractions does matter for aerosol source apportionment. Part 2: Intensive short-term campaign in the Paris area (France) D. Srivastava et al. 10.1016/j.scitotenv.2018.03.296
51. Technical note: A new approach to discriminate different black carbon sources by utilising fullerene and metals in positive matrix factorisation analysis of high-resolution soot particle aerosol mass spectrometer data Z. Bibi et al. 10.5194/acp-21-10763-2021
52. Six-year source apportionment of submicron organic aerosols from near-continuous highly time-resolved measurements at SIRTA (Paris area, France) Y. Zhang et al. 10.5194/acp-19-14755-2019
53. Detailed Speciation of Non-Methane Volatile Organic Compounds in Exhaust Emissions from Diesel and Gasoline Euro 5 Vehicles Using Online and Offline Measurements B. Marques et al. 10.3390/toxics10040184
54. Long-term chemical analysis and organic aerosol source apportionment at nine sites in central Europe: source identification and uncertainty assessment K. Daellenbach et al. 10.5194/acp-17-13265-2017
55. Implementing marine organic aerosols into the GEOS-Chem model B. Gantt et al. 10.5194/gmd-8-619-2015
56. Numerical Simulation Study of Winter Pollutant Transport Characteristics over Lanzhou City, Northwest China J. He et al. 10.3390/atmos9100382
57. Real-time quantification and source apportionment of fine particulate matter including organics and elements in Delhi during summertime A. Shukla et al. 10.1016/j.atmosenv.2021.118598
58. Comparison of Measurement-Based Methodologies to Apportion Secondary Organic Carbon (SOC) in PM2.5: A Review of Recent Studies D. Srivastava et al. 10.3390/atmos9110452
59. Insights into the origin and evolution of carbonaceous aerosols in a mediterranean urban environment N. Galindo et al. 10.1016/j.chemosphere.2019.06.202
60. Emission of volatile organic compounds from residential biomass burning and their rapid chemical transformations M. Desservettaz et al. 10.1016/j.scitotenv.2023.166592
61. Organic carbon at a remote site of the western Mediterranean Basin: sources and chemistry during the ChArMEx SOP2 field experiment V. Michoud et al. 10.5194/acp-17-8837-2017
62. Simulating the formation of carbonaceous aerosol in a European Megacity (Paris) during the MEGAPOLI summer and winter campaigns C. Fountoukis et al. 10.5194/acp-16-3727-2016
63. A Large Impact of Cooking Organic Aerosol (COA) on Particle Hygroscopicity and CCN Activity in Urban Atmosphere J. Liu et al. 10.1029/2020JD033628
64. Seasonal Disparity in the Effect of Meteorological Conditions on Air Quality in China Based on Artificial Intelligence Y. Zhang 10.3390/atmos12121670
65. A central arctic extreme aerosol event triggered by a warm air-mass intrusion L. Dada et al. 10.1038/s41467-022-32872-2
66. Spatially Resolved Source Apportionment of Industrial VOCs Using a Mobile Monitoring Platform R. Healy et al. 10.3390/atmos13101722
67. One-year measurements of secondary organic aerosol (SOA) markers in the Paris region (France): Concentrations, gas/particle partitioning and SOA source apportionment G. Lanzafame et al. 10.1016/j.scitotenv.2020.143921
68. 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
69. Speciation of organic fractions does matter for aerosol source apportionment. Part 3: Combining off-line and on-line measurements D. Srivastava et al. 10.1016/j.scitotenv.2019.06.378
70. Observations Confirm that Volatile Chemical Products Are a Major Source of Petrochemical Emissions in U.S. Cities G. Gkatzelis et al. 10.1021/acs.est.0c05471
71. Source Apportionment of PM2.5 Using Hourly Measurements of Elemental Tracers and Major Constituents in an Urban Environment: Investigation of Time‐Resolution Influence Q. Wang et al. 10.1029/2017JD027877
72. Comprehensive Source Apportionment of Submicron Aerosol in Shijiazhuang, China: Secondary Aerosol Formation and Holiday Effects C. Lin et al. 10.1021/acsearthspacechem.0c00109
73. A coupled atmospheric simulation chamber system for the production of realistic aerosols and preclinical model exposure M. Georgopoulou et al. 10.1007/s11869-024-01611-5
74. 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
75. Characterizing the Sources of Ambient PM10 Organic Aerosol in Urban and Rural Catalonia, Spain M. in 't Veld et al. 10.2139/ssrn.4463228
76. Characteristics and Meteorological Factors of Severe Haze Pollution in China C. He et al. 10.1155/2021/6680564
77. Traffic induced particle resuspension in Paris: Emission factors and source contributions F. Amato et al. 10.1016/j.atmosenv.2016.01.022
78. Abundance and Sources of Phthalic Acids, Benzene-Tricarboxylic Acids, and Phenolic Acids in PM2.5 at Urban and Suburban Sites in Southern China X. He et al. 10.1021/acsearthspacechem.7b00131
79. Urban particulate matter pollution: a tale of five cities S. Pandis et al. 10.1039/C5FD00212E
80. Source characterization of highly oxidized multifunctional compounds in a boreal forest environment using positive matrix factorization C. Yan et al. 10.5194/acp-16-12715-2016
81. Oxidative potential apportionment of atmospheric PM1: a new approach combining high-sensitive online analysers for chemical composition and offline OP measurement technique J. Camman et al. 10.5194/acp-24-3257-2024
82. Measurement of Atmospheric Volatile and Intermediate Volatility Organic Compounds: Development of a New Time-of-Flight Mass Spectrometer C. Kaltsonoudis et al. 10.3390/atmos14020336
83. Formation of organic aerosol in the Paris region during the MEGAPOLI summer campaign: evaluation of the volatility-basis-set approach within the CHIMERE model Q. Zhang et al. 10.5194/acp-13-5767-2013