48 citations as recorded by crossref.

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2. Review: Particle number size distributions from seven major sources and implications for source apportionment studies T. Vu et al. https://doi.org/10.1016/j.atmosenv.2015.09.027
3. Indoor and outdoor sources of size-resolved mass concentration of particulate matter in a school gym—implications for exposure of exercising children M. Braniš et al. https://doi.org/10.1007/s11356-010-0405-0
4. Molecular Marker Study of Particulate Organic Matter in Southern Ontario Air S. Irei et al. https://doi.org/10.1155/2017/3504274
5. VOC source–receptor relationships in Houston during TexAQS-II M. Leuchner & B. Rappenglück https://doi.org/10.1016/j.atmosenv.2009.02.029
6. A method for assessing nanomaterial dispersion quality based on principal component analysis of particle size distribution data R. Tantra et al. https://doi.org/10.1016/j.partic.2014.10.004
7. Determining the contribution of long-range transport, regional and local source areas, to PM10 mass loading in Hessen, Germany using a novel multi-receptor based statistical approach S. Garg & B. Sinha https://doi.org/10.1016/j.atmosenv.2017.08.029
8. Cluster analysis of atmospheric particle size distribution at a subtropical high-elevation mountainous site in east Asia H. Cheung et al. https://doi.org/10.1016/j.atmosenv.2025.121620
9. VOC characteristics and source apportionment at a PAMS site near an industrial complex in central Taiwan C. Chen et al. https://doi.org/10.1016/j.apr.2019.01.014
10. Elemental characterization and source identification of PM2.5 using multivariate analysis at the suburban site of North-East India P. Khare & B. Baruah https://doi.org/10.1016/j.atmosres.2010.07.001
11. Seasonal trends, chemical speciation and source apportionment of fine PM in Tehran M. Arhami et al. https://doi.org/10.1016/j.atmosenv.2016.12.046
12. Which emission sources are responsible for the volatile organic compounds in the atmosphere of Pearl River Delta? H. Guo et al. https://doi.org/10.1016/j.jhazmat.2011.01.081
13. VOC characteristics and sources at nine photochemical assessment monitoring stations in western Taiwan Y. Huang & C. Hsieh https://doi.org/10.1016/j.atmosenv.2020.117741
14. Source apportionment of particulate matter in Europe: A review of methods and results M. Viana et al. https://doi.org/10.1016/j.jaerosci.2008.05.007
15. Characterization and source apportionment of organic compounds in PM10 using PCA and PMF at a traffic hotspot of Delhi S. Gupta et al. https://doi.org/10.1016/j.scs.2018.01.051
16. Multivariate Analysis for Modeling of Air Pollutants and Ozone Concentration in Dimitrovgrad, Bulgaria S. Gocheva-Ilieva et al. https://doi.org/10.18178/ijesd.2016.7.10.872
17. Source apportionment and health risk assessment of PM10 in a naturally ventilated school in a tropical environment N. Mohamad et al. https://doi.org/10.1016/j.ecoenv.2015.11.002
18. Observations of OM/OC and specific attenuation coefficients (SAC) in ambient fine PM at a rural site in central Ontario, Canada T. Chan et al. https://doi.org/10.5194/acp-10-2393-2010
19. Measurements of submicron particles vertical profiles by means of topographic relief in a typical valley city, China S. Zhao et al. https://doi.org/10.1016/j.atmosenv.2018.11.035
20. Links between the concentrations of gaseous pollutants measured in different regions of Estonia A. Luts et al. https://doi.org/10.1007/s11869-022-01261-5
21. Meteorological Influences on Seasonal Variation of Fine Particulate Matter in Cities over Southern Ontario, Canada J. Liu & S. Cui https://doi.org/10.1155/2014/169476
22. Source apportionment of biogenic and anthropogenic VOCs in Bolu plateau M. Dörter et al. https://doi.org/10.1016/j.scitotenv.2020.139201
23. Can positive matrix factorization help to understand patterns of organic trace gases at the continental Global Atmosphere Watch site Hohenpeissenberg? M. Leuchner et al. https://doi.org/10.5194/acp-15-1221-2015
24. Ionic Composition of Fine Particulate Matter from Urban and Regional Background Sites in Poland B. Błaszczak et al. https://doi.org/10.1089/ees.2016.0193
25. Exploring sources of biogenic secondary organic aerosol compounds using chemical analysis and the FLEXPART model J. Martinsson et al. https://doi.org/10.5194/acp-17-11025-2017
26. Quantifying the sources of hazardous elements of suspended particulate matter aerosol collected in Yokohama, Japan M. Khan et al. https://doi.org/10.1016/j.atmosenv.2010.03.040
27. Measurements of VOCs by proton transfer reaction mass spectrometry at a rural Ontario site: Sources and correlation to aerosol composition A. Vlasenko et al. https://doi.org/10.1029/2009JD012025
28. Water-soluble organic compounds (WSOCs) in PM2.5 and PM10 at a subtropical site of India P. Khare et al. https://doi.org/10.1111/j.1600-0889.2011.00564.x
29. Review: Untangling the influence of air-mass history in interpreting observed atmospheric composition Z. Fleming et al. https://doi.org/10.1016/j.atmosres.2011.09.009
30. Analysis of the Spatio-Temporal Patterns of Water Pollution and Source Contribution Using the MODIS Sensor Products and Multivariate Statistical Techniques J. Karami et al. https://doi.org/10.1109/JSTARS.2012.2187273
31. Meteorological dependence of particle number concentrations in an urban area of complex terrain, Northwestern China S. Zhao et al. https://doi.org/10.1016/j.atmosres.2015.06.001
32. Modelling particle number size distribution: a continuous approach I. Martínez-Hernández et al. https://doi.org/10.1093/jrsssc/qlae053
33. Source apportionment of urban fine and ultra-fine particle number concentration in a Western Mediterranean city J. Pey et al. https://doi.org/10.1016/j.atmosenv.2009.05.024
34. Characterization of chemical composition and concentration of fine particulate matter during a transit strike in Ottawa, Canada L. Ding et al. https://doi.org/10.1016/j.atmosenv.2014.02.013
35. In situ formation and spatial variability of particle number concentration in a European megacity M. Pikridas et al. https://doi.org/10.5194/acp-15-10219-2015
36. PM1 carbonaceous aerosols during winter in a typical valley city of western China: Vertical profiles and the key influencing factors S. Zhao et al. https://doi.org/10.1016/j.atmosenv.2019.01.030
37. Simplified representation of atmospheric aerosol size distributions using absolute principal component analysis T. Chan & M. Mozurkewich https://doi.org/10.5194/acp-7-875-2007
38. Overview of surface measurements and spatial characterization of submicrometer particulate matter during the DISCOVER-AQ 2013 campaign in Houston, TX Y. Leong et al. https://doi.org/10.1080/10962247.2017.1296502
39. Chemical characteristics and source apportionment of PM2.5 using PCA/APCS, UNMIX, and PMF at an urban site of Delhi, India S. Jain et al. https://doi.org/10.1007/s11356-017-8925-5
40. Source apportionment of particulate matter and trace gases near a major refinery near the Houston Ship Channel H. Wallace et al. https://doi.org/10.1016/j.atmosenv.2017.10.049
41. Mass Concentration, Chemical Composition, and Source Characteristics of PM2.5 in a Plateau Slope City in Southwest China J. Shi et al. https://doi.org/10.3390/atmos12050611
42. Two-year observations of fine carbonaceous particles in variable sampling intervals F. Yang et al. https://doi.org/10.1016/j.atmosenv.2011.02.012
43. Estimation of the contribution of road traffic emissions to particulate matter concentrations from field measurements: A review P. Pant & R. Harrison https://doi.org/10.1016/j.atmosenv.2013.04.028
44. Inter-comparison of elemental and organic carbon mass measurements from three North American national long-term monitoring networks at a co-located site T. Chan et al. https://doi.org/10.5194/amt-12-4543-2019
45. Spatio-temporal variability and principal components of the particle number size distribution in an urban atmosphere F. Costabile et al. https://doi.org/10.5194/acp-9-3163-2009
46. Mobile and Fixed-Site Measurements To Identify Spatial Distributions of Traffic-Related Pollution Sources in Los Angeles M. Tessum et al. https://doi.org/10.1021/acs.est.7b04889
47. Airmass Trajectories and Long Range Transport of Pollutants: Review of Wet Deposition Scenario in South Asia U. Kulshrestha & B. Kumar https://doi.org/10.1155/2014/596041
48. Principal-component analysis of particle motion H. Chen et al. https://doi.org/10.1103/PhysRevE.91.042308