153 citations as recorded by crossref.

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3. Feasibility study of ED‐XRF analysis of atmospheric particulate matter samples collected with high time resolution M. Giannoni et al. 10.1002/xrs.2620
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6. An overview of particulate emissions from residential biomass combustion E. Vicente & C. Alves 10.1016/j.atmosres.2017.08.027
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13. Evaluating the size distribution characteristics and sources of atmospheric trace elements at two mountain sites: comparison of the clean and polluted regions in China Z. Liu et al. 10.1007/s11356-020-10213-4
14. Source apportionment of PM10 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
15. Detection of brake wear aerosols by aerosol time-of-flight mass spectrometry D. Beddows et al. 10.1016/j.atmosenv.2016.01.018
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17. Diurnal and seasonal trends and source apportionment of redox-active metals in Los Angeles using a novel online metal monitor and Positive Matrix Factorization (PMF) A. Mousavi et al. 10.1016/j.atmosenv.2017.11.034
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19. Temporal and spatial variability of traffic-related PM2.5 sources: Comparison of exhaust and non-exhaust emissions C. Jeong et al. 10.1016/j.atmosenv.2018.10.038
20. Insight into PM2.5 sources by applying positive matrix factorization (PMF) at urban and rural sites of Beijing D. Srivastava et al. 10.5194/acp-21-14703-2021
21. Ambient PM2.5 in the residential area near industrial complexes: Spatiotemporal variation, source apportionment, and health impact C. Hsu et al. 10.1016/j.scitotenv.2017.02.212
22. Apportionment of urban aerosol sources in Cork (Ireland) by synergistic measurement techniques M. Dall'Osto et al. 10.1016/j.scitotenv.2014.05.027
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24. 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
25. Vehicle exhausts contribute high near-UV absorption through carbonaceous aerosol during winter in a fast-growing city of Sichuan Basin, China S. Liu et al. 10.1016/j.envpol.2022.119966
26. Hourly Elemental Composition and Source Identification by Positive Matrix Factorization (PMF) of Fine and Coarse Particulate Matter in the High Polluted Industrial Area of Taranto (Italy) F. Lucarelli et al. 10.3390/atmos11040419
27. Physicochemical factors and their potential sources inferred from long-term rainfall measurements at an urban and a remote rural site in tropical areas M. Khan et al. 10.1016/j.scitotenv.2017.08.025
28. Source Apportionment and Assessment of Air Quality Index of PM2.5–10 and PM2.5 in at Two Different Sites in Urban Background Area in Senegal M. Kebe et al. 10.3390/atmos12020182
29. Integrated analysis of source-specific risks for PM2.5-bound metals in urban, suburban, rural, and industrial areas C. Hsu et al. 10.1016/j.envpol.2021.116652
30. 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
31. Advanced source apportionment of size-resolved trace elements at multiple sites in London during winter S. Visser et al. 10.5194/acp-15-11291-2015
32. Assessment of air quality in preschool environments (3–5 years old children) with emphasis on elemental composition of PM10 and PM2.5 M. Oliveira et al. 10.1016/j.envpol.2016.04.046
33. Brake Particle PN and PM Emissions of a Hybrid Light Duty Vehicle Measured on the Chassis Dynamometer P. Dimopoulos Eggenschwiler et al. 10.3390/atmos14050784
34. Airborne particulate matter emissions from vehicle brakes in micro- and nano-scales: Morphology and chemistry by electron microscopy A. Liati et al. 10.1016/j.atmosenv.2019.05.037
35. 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
36. 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
37. Insights into the chemical characterization and sources of PM2.5 in Beijing at a 1-h time resolution J. Gao et al. 10.1016/j.scitotenv.2015.10.082
38. 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
39. Characteristics of trace metals in traffic-derived particles in Hsuehshan Tunnel, Taiwan: size distribution, potential source, and fingerprinting metal ratio Y. Lin et al. 10.5194/acp-15-4117-2015
40. Mapping Source-Specific Air Pollution Exposures Using Positive Matrix Factorization Applied to Multipollutant Mobile Monitoring in Seattle, WA N. Liu et al. 10.1021/acs.est.4c13242
41. A review of the main strategies used in the interpretation of similar chemical profiles yielded by receptor models in the source apportionment of particulate matter E. Galvão et al. 10.1016/j.chemosphere.2020.128746
42. Seasonal variations, source apportionment, and health risk assessment of trace metals in PM2.5 in the typical industrial city of changzhi, China X. Duan et al. 10.1016/j.apr.2020.09.017
43. Short- and long-term impacts of the COVID-19 epidemic on urban PM2.5 variations: Evidence from a megacity, Chengdu Q. Jin et al. 10.1016/j.atmosenv.2022.119479
44. Laboratory testing of airborne brake wear particle emissions using a dynamometer system under urban city driving cycles H. Hagino et al. 10.1016/j.atmosenv.2016.02.014
45. Hazardous trace elements in thoracic fraction of airborne particulate matter: Assessment of temporal variations, sources, and health risks in a megacity O. Ramírez et al. 10.1016/j.scitotenv.2019.136344
46. Study of atmospheric aerosols by IBA techniques: The LABEC experience F. Lucarelli et al. 10.1016/j.nimb.2017.07.034
47. A hybrid methodology to quantitatively identify inorganic aerosol of PM2.5 source contribution Y. Chen et al. 10.1016/j.jhazmat.2021.128173
48. High-resolution temporal metallic elements in PM2.5 in Chengdu, Southwest China: variations, extreme events, and effects of meteorological parameters Q. Jin et al. 10.1007/s11869-021-01065-z
49. A novel calibration method for continuous airborne metal measurements: Implications for aerosol source apportionment Y. Zhu et al. 10.1016/j.scitotenv.2023.168274
50. Chemical characteristics and source apportionment of PM2.5 using PMF modelling coupled with 1-hr resolution online air pollutant dataset for Linfen, China Y. Li et al. 10.1016/j.envpol.2020.114532
51. PM2.5 bound species variation and source characterization in the post-lockdown period of the Covid-19 pandemic in Delhi M. Faisal et al. 10.1016/j.uclim.2022.101290
52. Source apportionment of PM2.5 during haze episodes in Shanghai by the PMF model with PAHs X. Feng et al. 10.1016/j.jclepro.2021.129850
53. STRAS: a new high-time-resolution aerosol sampler for particle-induced X-ray emission (PIXE) analysis S. Nava et al. 10.5194/amt-18-2137-2025
54. Levels and health risks of PM2.5-bound toxic metals from firework/firecracker burning during festival periods in response to management strategies J. Liu et al. 10.1016/j.ecoenv.2018.12.104
55. PM2.5 elements at an urban site in Yangtze River Delta, China: High time-resolved measurement and the application in source apportionment Y. Yu et al. 10.1016/j.envpol.2019.07.096
56. Characteristics, sources, and health risks of PM2.5-bound trace metals in northern Zhejiang Province: The effects of meteorological variables based on machine learning F. Zhang et al. 10.1016/j.jclepro.2024.142089
57. Estimating the geographical patterns and health risks associated with PM2.5-bound heavy metals to guide PM2.5 control targets in China based on machine-learning algorithms T. Lyu et al. 10.1016/j.envpol.2023.122558
58. Sources of the PM10 aerosol in Flanders, Belgium, and re-assessment of the contribution from wood burning W. Maenhaut et al. 10.1016/j.scitotenv.2016.04.074
59. Review of online source apportionment research based on observation for ambient particulate matter F. Wang et al. 10.1016/j.scitotenv.2020.144095
60. Toxic metals in outdoor/indoor airborne PM2.5 in port city of Northern, China: Characteristics, sources, and personal exposure risk assessment B. Fang et al. 10.1016/j.envpol.2021.116937
61. Chemical signature and fractionation of trace elements in fine particles from anthropogenic and natural sources R. Huang et al. 10.1016/j.jes.2021.09.015
62. Potential underestimation of ambient brown carbon absorption based on the methanol extraction method and its impacts on source analysis Z. Xu et al. 10.5194/acp-22-13739-2022
63. Exploiting multi-wavelength aerosol absorption coefficients in a multi-time resolution source apportionment study to retrieve source-dependent absorption parameters A. Forello et al. 10.5194/acp-19-11235-2019
64. 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
65. Desert dust contribution to PM10 loads in Italy: Methods and recommendations addressing the relevant European Commission Guidelines in support to the Air Quality Directive 2008/50 F. Barnaba et al. 10.1016/j.atmosenv.2017.04.038
66. Fluxes and sources of nutrient and trace metal atmospheric deposition in the northwestern Mediterranean K. Desboeufs et al. 10.5194/acp-18-14477-2018
67. Impact of dry deposition flux and dust intrusion phenomena on elemental concentrations of air particulate matter A. Dawood et al. 10.3389/fenvs.2022.1082783
68. Characterization of Aerosol Pollution in Two Hungarian Cities in Winter 2009–2010 E. Furu et al. 10.3390/atmos13040554
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71. Tracer-based characterization of source variations of PM2.5 and organic carbon in Shanghai influenced by the COVID-19 lockdown S. Zhu et al. 10.1039/D0FD00091D
72. Characteristics and sources of PM2.5-bound elements in Shanghai during autumn and winter of 2019: Insight into the development of pollution episodes Y. Chen et al. 10.1016/j.scitotenv.2023.163432
73. Sources appointment and health risks of PM2.5-bound trace elements in a coastal city of southeastern China Z. Lin et al. 10.1016/j.jes.2023.03.009
74. High time-resolution source apportionment and health risk assessment for PM2.5-bound elements at an industrial city in northwest China S. Liu et al. 10.1016/j.scitotenv.2023.161907
75. Source apportionment of highly time-resolved elements during a firework episode from a rural freeway site in Switzerland P. Rai et al. 10.5194/acp-20-1657-2020
76. Biomass burning contributions estimated by synergistic coupling of daily and hourly aerosol composition records S. Nava et al. 10.1016/j.scitotenv.2014.11.034
77. Comparative study of PM10-bound heavy metals and PAHs during six years in a Chinese megacity: Compositions, sources, and source-specific risks Q. Xue et al. 10.1016/j.ecoenv.2019.109740
78. Emission control priority of PM2.5-bound heavy metals in different seasons: A comprehensive analysis from health risk perspective J. Liu et al. 10.1016/j.scitotenv.2018.06.226
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80. Properties of black carbon and other insoluble light-absorbing particles in seasonal snow of northwestern China W. Pu et al. 10.5194/tc-11-1213-2017
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