67 citations as recorded by crossref.

1. Marine organic aerosol at Mace Head: effects from phytoplankton and source region variability E. Chevassus et al. 10.5194/acp-25-4107-2025
2. A systematic re-evaluation of methods for quantification of bulk particle-phase organic nitrates using real-time aerosol mass spectrometry D. Day et al. 10.5194/amt-15-459-2022
3. Burning conditions and transportation pathways determine biomass-burning aerosol properties in the Ascension Island marine boundary layer A. Dobracki et al. 10.5194/acp-25-2333-2025
4. Source apportionment of organic gaseous and particulate compounds using a combined positive matrix factorization approach in summer (2020) in the Paris region (France) L. Simon et al. 10.1016/j.atmosenv.2025.121269
5. Evaluating the influence of constant source profile presumption on PMF analysis of PM2.5 by comparing long- and short-term hourly observation-based modeling M. Xie et al. 10.1016/j.envpol.2022.120273
6. A 1-year aerosol chemical speciation monitor (ACSM) source analysis of organic aerosol particle contributions from anthropogenic sources after long-range transport at the TROPOS research station Melpitz S. Atabakhsh et al. 10.5194/acp-23-6963-2023
7. Source apportionment of children daily exposure to particulate matter S. Almeida et al. 10.1016/j.scitotenv.2022.155349
8. Earth observation: An integral part of a smart and sustainable city E. Gerasopoulos et al. 10.1016/j.envsci.2022.02.033
9. 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
10. Temporal dynamics and source characteristics of fine particulate matter using Positive Matrix Factorization (PMF) V. Kumar et al. 10.1016/j.apr.2025.102539
11. Chemical composition and sources of organic aerosol on the Adriatic coast in Croatia R. Casotto et al. 10.1016/j.aeaoa.2022.100159
12. Understanding the Driving Forces of Summer PM1 Composition in Seoul, Korea, with Explainable Machine Learning Q. Hu et al. 10.1021/acsestair.3c00116
13. An Ensemble Machine Learning Approach for Predicting Sources of Organic Aerosols Measured by Aerosol Mass Spectrometry Y. Zhang et al. 10.1021/acsestair.4c00262
14. Source Apportionment of Fine Particulate Matter in Wuhan: Application of Rolling Positive Matrix Factorization Under Different Seasons and Episodic Events Z. Guo et al. 10.1007/s44408-025-00005-1
15. 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
16. Transported smoke from crop residue burning as the major source of organic aerosol and health risks in northern Indian cities during post-monsoon Y. Hao et al. 10.1016/j.envint.2025.109583
17. High-altitude aerosol chemical characterization and source identification: insights from the CALISHTO campaign O. Zografou et al. 10.5194/acp-24-8911-2024
18. Seasonality of Aerosol Sources Calls for Distinct Air Quality Mitigation Strategies C. Lin et al. 10.3390/toxics10030121
19. The effect of the averaging period for PMF analysis of aerosol mass spectrometer measurements during offline applications C. Vasilakopoulou et al. 10.5194/amt-15-6419-2022
20. Strong light scattering of highly oxygenated organic aerosols impacts significantly on visibility degradation L. Liu et al. 10.5194/acp-22-7713-2022
21. Composition and Sources of Organic Aerosol in Two Megacities in Western China Using Complementary Mass Spectrometric and Statistical Techniques T. Cui et al. 10.1021/acsestair.4c00051
22. Quantifying the Chemical Composition and Real-Time Mass Loading of Nanoplastic Particles in the Atmosphere Using Aerosol Mass Spectrometry S. Niu et al. 10.1021/acs.est.3c10286
23. Source apportionment resolved by time of day for improved deconvolution of primary source contributions to air pollution S. Bhandari et al. 10.5194/amt-15-6051-2022
24. 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
25. Nine-year trends of PM10 sources and oxidative potential in a rural background site in France L. Borlaza et al. 10.5194/acp-22-8701-2022
26. European aerosol phenomenology − 8: Harmonised source apportionment of organic aerosol using 22 Year-long ACSM/AMS datasets G. Chen et al. 10.1016/j.envint.2022.107325
27. Organic aerosol source apportionment by using rolling positive matrix factorization: Application to a Mediterranean coastal city B. Chazeau et al. 10.1016/j.aeaoa.2022.100176
28. Measurement report: Sources and meteorology influencing highly time-resolved PM2.5 trace elements at three urban sites in the extremely polluted Indo-Gangetic Plain in India A. Shukla et al. 10.5194/acp-25-3765-2025
29. From outdoor to indoor air pollution source apportionment: Answers to ten challenging questions D. Saraga et al. 10.1016/j.trac.2024.117821
30. Characterization of non-refractory (NR) PM1 and source apportionment of organic aerosol in Kraków, Poland A. Tobler et al. 10.5194/acp-21-14893-2021
31. Source identification of the elemental fraction of particulate matter using size segregated, highly time-resolved data and an optimized source apportionment approach M. Manousakas et al. 10.1016/j.aeaoa.2022.100165
32. Trace Elements Concentrations in Urban Air in Helsinki, Finland during a 44-Year Period E. Ioannidou et al. 10.3390/atmos14091430
33. On the use of reference mass spectra for reducing uncertainty in source apportionment of solid-fuel burning in ambient organic aerosol C. Lin et al. 10.5194/amt-14-6905-2021
34. PM2.5 composition and sources in the San Joaquin Valley of California: A long-term study using ToF-ACSM with the capture vaporizer P. Sun et al. 10.1016/j.envpol.2021.118254
35. Characterizing the Sources of Ambient PM10 Organic Aerosol in Urban and Rural Catalonia, Spain M. in 't Veld et al. 10.2139/ssrn.4463228
36. Assessing the Impact of Non-Exhaust Emissions on the Asthmatic Airway (IONA) Protocol for a Randomised Three-Exposure Crossover Study J. Scales et al. 10.3390/ijerph21070895
37. 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
38. Applications of environmental mass spectrometry in atmospheric haze chemistry T. Chen et al. 10.1016/j.trac.2024.117614
39. Response of atmospheric composition to COVID-19 lockdown measures during spring in the Paris region (France) J. Petit et al. 10.5194/acp-21-17167-2021
40. Organic aerosol sources in Krakow, Poland, before implementation of a solid fuel residential heating ban R. Casotto et al. 10.1016/j.scitotenv.2022.158655
41. 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
42. Organic aerosol sources in the Milan metropolitan area – Receptor modelling based on field observations and air quality modelling K. Daellenbach et al. 10.1016/j.atmosenv.2023.119799
43. Large contribution from worship activities to the atmospheric soot particles in northwest China C. Lin et al. 10.1016/j.envpol.2022.118907
44. Short-term source apportionment of fine particulate matter with time-dependent profiles using SoFi Pro: exploring the reliability of rolling positive matrix factorization (PMF) applied to bihourly molecular and elemental tracer data Q. Wang et al. 10.5194/acp-24-475-2024
45. Insights into characteristics and formation mechanisms of secondary organic aerosols in the Guangzhou urban area M. Zhai et al. 10.5194/acp-23-5119-2023
46. A novel probabilistic source apportionment approach: Bayesian auto-correlated matrix factorization A. Rusanen et al. 10.5194/amt-17-1251-2024
47. Estimating uncertainties of source contributions to PM2.5 using moving window evolving dispersion normalized PMF L. Song et al. 10.1016/j.envpol.2021.117576
48. Two distinct ship emission profiles for organic-sulfate source apportionment of PM in sulfur emission control areas K. Fossum et al. 10.5194/acp-24-10815-2024
49. Combined organic and inorganic source apportionment on yearlong ToF-ACSM dataset at a suburban station in Athens O. Zografou et al. 10.5194/amt-15-4675-2022
50. Source apportionment for indoor air pollution: Current challenges and future directions D. Saraga et al. 10.1016/j.scitotenv.2023.165744
51. Investigation of four-year chemical composition and organic aerosol sources of submicron particles at the ATOLL site in northern France H. Chebaicheb et al. 10.1016/j.envpol.2023.121805
52. Influence of meteorological conditions and seasonality on PM1 and organic aerosol sources at a rural background site R. Lhotka et al. 10.1016/j.atmosenv.2025.121028
53. 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
54. Identifying and quantifying PM2.5 pollution episodes with a fusion method of moving window technique and constrained Positive Matrix Factorization C. Huang et al. 10.1016/j.envpol.2022.120382
55. Substantial contribution of transported emissions to organic aerosol in Beijing K. Daellenbach et al. 10.1038/s41561-024-01493-3
56. Primary and Secondary Organic Nitrate in Northwest China: A Case Study C. Lin et al. 10.1021/acs.estlett.1c00692
57. Rolling vs. seasonal PMF: real-world multi-site and synthetic dataset comparison M. Via et al. 10.5194/amt-15-5479-2022
58. Real-Time Source Apportionment of Organic Aerosols in Three European Cities G. Chen et al. 10.1021/acs.est.2c02509
59. Black carbon content of traffic emissions significantly impacts black carbon mass size distributions and mixing states F. Li et al. 10.5194/acp-23-6545-2023
60. 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
61. Enhancing Differentiation of Oxygenated Organic Aerosol: A Machine Learning Approach to Distinguish Local and Transboundary Pollution L. Lei et al. 10.1021/acsestair.4c00331
62. Time-dependent source apportionment of submicron organic aerosol for a rural site in an alpine valley using a rolling positive matrix factorisation (PMF) window G. Chen et al. 10.5194/acp-21-15081-2021
63. Evaluation of aerosol chemical speciation monitor response to different mixtures of organic and inorganic aerosols L. Mărmureanu et al. 10.1080/02786826.2024.2412999
64. What caused a record high PM10 episode in northern Europe in October 2020? C. Groot Zwaaftink et al. 10.5194/acp-22-3789-2022
65. Trends of PM1 aerosol chemical composition, carbonaceous aerosol, and source over the last 10 years at Melpitz (Germany) S. Atabakhsh et al. 10.1016/j.atmosenv.2025.121075
66. Effect of Biomass Burning on PM2.5 Composition and Secondary Aerosol Formation During Post‐Monsoon and Winter Haze Episodes in Delhi V. Lalchandani et al. 10.1029/2021JD035232
67. A new method for long-term source apportionment with time-dependent factor profiles and uncertainty assessment using SoFi Pro: application to 1 year of organic aerosol data F. Canonaco et al. 10.5194/amt-14-923-2021