107 citations as recorded by crossref.

1. The driving effects of common atmospheric molecules for formation of prenucleation clusters: the case of sulfuric acid, formic acid, nitric acid, ammonia, and dimethyl amine C. Bready et al. https://doi.org/10.1039/D2EA00087C
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4. Seasonal Characteristics of New Particle Formation and Growth in Urban Beijing C. Deng et al. https://doi.org/10.1021/acs.est.0c00808
5. Review of sub-3 nm condensation particle counters, calibrations, and cluster generation methods J. Kangasluoma & M. Attoui https://doi.org/10.1080/02786826.2019.1654084
6. Iodine oxoacids and their roles in sub-3 nm particle growth in polluted urban environments Y. Zhang et al. https://doi.org/10.5194/acp-24-1873-2024
7. Laboratory verification of a new high flow differential mobility particle sizer, and field measurements in Hyytiälä J. Kangasluoma et al. https://doi.org/10.1016/j.jaerosci.2018.06.009
8. New-particle formation, growth and climate-relevant particle production in Egbert, Canada: analysis from 1 year of size-distribution observations J. Pierce et al. https://doi.org/10.5194/acp-14-8647-2014
9. The proper view of cluster free energy in nucleation theories R. Cai & J. Kangasluoma https://doi.org/10.1080/02786826.2022.2075250
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11. Exploring the potential of nano-Köhler theory to describe the growth of atmospheric molecular clusters by organic vapors using cluster kinetics simulations J. Kontkanen et al. https://doi.org/10.5194/acp-18-13733-2018
12. Growth rates of atmospheric molecular clusters based on appearance times and collision–evaporation fluxes: Growth by monomers T. Olenius et al. https://doi.org/10.1016/j.jaerosci.2014.08.008
13. Composition of 15–85 nm particles in marine air M. Lawler et al. https://doi.org/10.5194/acp-14-11557-2014
14. Particle number size distributions and formation and growth rates of different new particle formation types of a megacity in China L. Dai et al. https://doi.org/10.1016/j.jes.2022.07.029
15. A Review of Aerosol Nanoparticle Formation from Ions Q. Li et al. https://doi.org/10.14356/kona.2015013
16. A new balance formula to estimate new particle formation rate: reevaluating the effect of coagulation scavenging R. Cai & J. Jiang https://doi.org/10.5194/acp-17-12659-2017
17. High concentrations of sub-3nm clusters and frequent new particle formation observed in the Po Valley, Italy, during the PEGASOS 2012 campaign J. Kontkanen et al. https://doi.org/10.5194/acp-16-1919-2016
18. Characterization of three new condensation particle counters for sub-3 nm particle detection during the Helsinki CPC workshop: the ADI versatile water CPC, TSI 3777 nano enhancer and boosted TSI 3010 J. Kangasluoma et al. https://doi.org/10.5194/amt-10-2271-2017
19. Theoretical Study of the Gas-Phase Hydrolysis of Formaldehyde to Produce Methanediol and Its Implication to New Particle Formation C. Wang et al. https://doi.org/10.1021/acsomega.3c00770
20. Cloud condensation nuclei production associated with atmospheric nucleation: a synthesis based on existing literature and new results V. Kerminen et al. https://doi.org/10.5194/acp-12-12037-2012
21. A proxy for atmospheric daytime gaseous sulfuric acid concentration in urban Beijing Y. Lu et al. https://doi.org/10.5194/acp-19-1971-2019
22. Nucleation and growth of sub-3 nm particles in the polluted urban atmosphere of a megacity in China H. Yu et al. https://doi.org/10.5194/acp-16-2641-2016
23. Nanoparticle growth by particle-phase chemistry M. Apsokardu & M. Johnston https://doi.org/10.5194/acp-18-1895-2018
24. Atmospheric nanoparticles and climate change P. Adams et al. https://doi.org/10.1002/aic.14242
25. What controls the observed size-dependency of the growth rates of sub-10 nm atmospheric particles? J. Kontkanen et al. https://doi.org/10.1039/D1EA00103E
26. Implications of Sea Breeze Circulations on boundary layer aerosols in the southern coastal Texas region T. Subba et al. https://doi.org/10.5194/acp-26-2853-2026
27. Fragmentation Energetics of Clusters Relevant to Atmospheric New Particle Formation B. Bzdek et al. https://doi.org/10.1021/ja3124509
28. On the sources of uncertainty in the sub-3 nm particle concentration measurement J. Kangasluoma & J. Kontkanen https://doi.org/10.1016/j.jaerosci.2017.07.002
29. Measurement report: Interpretation of wide-range particulate matter size distributions in Delhi Ü. Şahin et al. https://doi.org/10.5194/acp-22-5415-2022
30. Resolving nanoparticle growth mechanisms from size- and time-dependent growth rate analysis L. Pichelstorfer et al. https://doi.org/10.5194/acp-18-1307-2018
31. Reevaluating the contribution of sulfuric acid and the origin of organic compounds in atmospheric nanoparticle growth V. Vakkari et al. https://doi.org/10.1002/2015GL066459
32. Sub-3 nm Particles Detection in a Large Photoreactor Background: Possible Implications for New Particles Formation Studies in a Smog Chamber J. Boulon et al. https://doi.org/10.1080/02786826.2012.733040
33. Humidity effects on the detection of soluble and insoluble nanoparticles in butanol operated condensation particle counters C. Tauber et al. https://doi.org/10.5194/amt-12-3659-2019
34. On the derivation of particle nucleation rates from experimental formation rates A. Kürten et al. https://doi.org/10.5194/acp-15-4063-2015
35. Accelerated reduction of atmospheric ultrafine particles since China VI vehicle emission standards H. Wang et al. https://doi.org/10.1038/s41612-026-01327-6
36. Aerosol surface area concentration: a governing factor in new particle formation in Beijing R. Cai et al. https://doi.org/10.5194/acp-17-12327-2017
37. Growth of Ammonium Bisulfate Clusters by Adsorption of Oxygenated Organic Molecules J. DePalma et al. https://doi.org/10.1021/acs.jpca.5b07744
38. Insight into Acid–Base Nucleation Experiments by Comparison of the Chemical Composition of Positive, Negative, and Neutral Clusters F. Bianchi et al. https://doi.org/10.1021/es502380b
39. The role of aldehydes on sulfur based-new particle formation: a theoretical study G. Zhang et al. https://doi.org/10.1039/D4RA00952E
40. Sub-3 nm particle size and composition dependent response of a nano-CPC battery J. Kangasluoma et al. https://doi.org/10.5194/amt-7-689-2014
41. Major contribution of neutral clusters to new particle formation at the interface between the boundary layer and the free troposphere C. Rose et al. https://doi.org/10.5194/acp-15-3413-2015
42. Atmospheric gas-to-particle conversion: why NPF events are observed in megacities? M. Kulmala et al. https://doi.org/10.1039/C6FD00257A
43. Towards a concentration closure of sub-6 nm aerosol particles and sub-3 nm atmospheric clusters M. Kulmala et al. https://doi.org/10.1016/j.jaerosci.2021.105878
44. How the understanding of atmospheric new particle formation has evolved along with the development of measurement and analysis methods K. Lehtipalo et al. https://doi.org/10.1016/j.jaerosci.2024.106494
45. Perspective: Aerosol microphysics: From molecules to the chemical physics of aerosols B. Bzdek & J. Reid https://doi.org/10.1063/1.5002641
46. Aerosol formation and growth rates from chamber experiments using Kalman smoothing M. Ozon et al. https://doi.org/10.5194/acp-21-12595-2021
47. Growth of atmospheric clusters involving cluster–cluster collisions: comparison of different growth rate methods J. Kontkanen et al. https://doi.org/10.5194/acp-16-5545-2016
48. Atmospheric clusters to nanoparticles: Recent progress and challenges in closing the gap in chemical composition J. Smith et al. https://doi.org/10.1016/j.jaerosci.2020.105733
49. Molecular understanding of atmospheric particle formation from sulfuric acid and large oxidized organic molecules S. Schobesberger et al. https://doi.org/10.1073/pnas.1306973110
50. A diethylene glycol condensation particle counter for rapid sizing of sub-3 nm atmospheric clusters C. Kuang https://doi.org/10.1080/02786826.2018.1481279
51. A DMA-train for precision measurement of sub-10 nm aerosol dynamics D. Stolzenburg et al. https://doi.org/10.5194/amt-10-1639-2017
52. Modeling particle nucleation and growth over northern California during the 2010 CARES campaign A. Lupascu et al. https://doi.org/10.5194/acp-15-12283-2015
53. Observation of sub-3nm particles and new particle formation at an urban location in India M. Sebastian et al. https://doi.org/10.1016/j.atmosenv.2021.118460
54. Model for acid-base chemistry in nanoparticle growth (MABNAG) T. Yli-Juuti et al. https://doi.org/10.5194/acp-13-12507-2013
55. Enhanced New Particle Formation Above the Marine Boundary Layer Over the Yellow Sea: Potential Impacts on Cloud Condensation Nuclei N. Takegawa et al. https://doi.org/10.1029/2019JD031448
56. How do organic vapors contribute to new-particle formation? N. Donahue et al. https://doi.org/10.1039/c3fd00046j
57. Multicomponent new particle formation from sulfuric acid, ammonia, and biogenic vapors K. Lehtipalo et al. https://doi.org/10.1126/sciadv.aau5363
58. Impacts of coagulation on the appearance time method for new particle growth rate evaluation and their corrections R. Cai et al. https://doi.org/10.5194/acp-21-2287-2021
59. Direct Observations of Atmospheric Aerosol Nucleation M. Kulmala et al. https://doi.org/10.1126/science.1227385
60. The role of low-volatility organic compounds in initial particle growth in the atmosphere J. Tröstl et al. https://doi.org/10.1038/nature18271
61. Size-resolved particle number emissions in Beijing determined from measured particle size distributions J. Kontkanen et al. https://doi.org/10.5194/acp-20-11329-2020
62. Rapid Nucleation and Growth of Indoor Atmospheric Nanocluster Aerosol during the Use of Scented Volatile Chemical Products in Residential Buildings S. Patra et al. https://doi.org/10.1021/acsestair.4c00118
63. Chemistry of new particle formation and growth events during wintertime in suburban area of Beijing: Insights from highly polluted atmosphere S. Yang et al. https://doi.org/10.1016/j.atmosres.2021.105553
64. Current state of aerosol nucleation parameterizations for air-quality and climate modeling K. Semeniuk & A. Dastoor https://doi.org/10.1016/j.atmosenv.2018.01.039
65. Atmospherically Relevant Hydrogen-Bonded Interactions between Methanesulfonic Acid and H2SO4 Clusters: A Computational Study D. de Souza Gonçalves & P. Chaudhuri https://doi.org/10.1021/acs.jpca.0c09087
66. Using measurements of the aerosol charging state in determination of the particle growth rate and the proportion of ion-induced nucleation J. Leppä et al. https://doi.org/10.5194/acp-13-463-2013
67. Growth rates of fine aerosol particles at a site near Beijing in June 2013 C. Zhao et al. https://doi.org/10.1007/s00376-017-7069-3
68. H2SO4 and particle production in a photolytic flow reactor: chemical modeling, cluster thermodynamics and contamination issues D. Hanson et al. https://doi.org/10.5194/acp-19-8999-2019
69. Parameters governing the performance of electrical mobility spectrometers for measuring sub-3 nm particles R. Cai et al. https://doi.org/10.1016/j.jaerosci.2018.11.002
70. Robust metric for quantifying the importance of stochastic effects on nanoparticle growth T. Olenius et al. https://doi.org/10.1038/s41598-018-32610-z
71. The driving effects of common atmospheric molecules for formation of clusters: the case of sulfuric acid, formic acid, hydrochloric acid, ammonia, and dimethylamine O. Longsworth et al. https://doi.org/10.1039/D3EA00087G
72. Semi-empirical parameterization of size-dependent atmospheric nanoparticle growth in continental environments S. Häkkinen et al. https://doi.org/10.5194/acp-13-7665-2013
73. Comparison of Daytime and Nighttime New Particle Growth at the HKUST Supersite in Hong Kong H. Man et al. https://doi.org/10.1021/acs.est.5b02143
74. Gas-phase aldol condensation of formaldehyde to produce hydroxyacetaldehyde and its implication to new particle formation: a theoretical study N. Tang et al. https://doi.org/10.1039/D4RA08063G
75. Quantitative and time-resolved nanoparticle composition measurements during new particle formation B. Bzdek et al. https://doi.org/10.1039/c3fd00039g
76. Adsorption of organic molecules may explain growth of newly nucleated clusters and new particle formation J. Wang & A. Wexler https://doi.org/10.1002/grl.50455
77. Operation of the Airmodus A11 nano Condensation Nucleus Counter at various inlet pressures and various operation temperatures, and design of a new inlet system J. Kangasluoma et al. https://doi.org/10.5194/amt-9-2977-2016
78. Comprehensive analysis of particle growth rates from nucleation mode to cloud condensation nuclei in boreal forest P. Paasonen et al. https://doi.org/10.5194/acp-18-12085-2018
79. Strong atmospheric new particle formation in winter in urban Shanghai, China S. Xiao et al. https://doi.org/10.5194/acp-15-1769-2015
80. Sulfuric acid–dimethylamine particle formation enhanced by functional organic acids: an integrated experimental and theoretical study C. Wang et al. https://doi.org/10.1039/D2CP01671K
81. New particle formation in the remote marine boundary layer G. Zheng et al. https://doi.org/10.1038/s41467-020-20773-1
82. NPF-induced CCN enhancement over an urban location in Eastern Himalayan Foothills: A campaign-based study B. Das et al. https://doi.org/10.1016/j.atmosenv.2025.121524
83. Atmospheric aerosol growth rates at different background station types A. Holubová Šmejkalová et al. https://doi.org/10.1007/s11356-020-11424-5
84. Data inversion methods to determine sub-3 nm aerosol size distributions using the particle size magnifier R. Cai et al. https://doi.org/10.5194/amt-11-4477-2018
85. Modeling kinetic partitioning of secondary organic aerosol and size distribution dynamics: representing effects of volatility, phase state, and particle-phase reaction R. Zaveri et al. https://doi.org/10.5194/acp-14-5153-2014
86. Mechanisms of Atmospherically Relevant Cluster Growth B. Bzdek et al. https://doi.org/10.1021/acs.accounts.7b00213
87. Technical Note: Using DEG-CPCs at upper tropospheric temperatures D. Wimmer et al. https://doi.org/10.5194/acp-15-7547-2015
88. Growth of atmospheric nano-particles by heterogeneous nucleation of organic vapor J. Wang et al. https://doi.org/10.5194/acp-13-6523-2013
89. Atmospheric new particle formation and growth: review of field observations V. Kerminen et al. https://doi.org/10.1088/1748-9326/aadf3c
90. Growth of sulphuric acid nanoparticles under wet and dry conditions L. Skrabalova et al. https://doi.org/10.5194/acp-14-6461-2014
91. The effect of acid–base clustering and ions on the growth of atmospheric nano-particles K. Lehtipalo et al. https://doi.org/10.1038/ncomms11594
92. Contribution of sulfuric acid and oxidized organic compounds to particle formation and growth F. Riccobono et al. https://doi.org/10.5194/acp-12-9427-2012
93. Atmospheric new particle formation characteristics in the Arctic as measured at Mount Zeppelin, Svalbard, from 2016 to 2018 H. Lee et al. https://doi.org/10.5194/acp-20-13425-2020
94. Contributions of volatile and nonvolatile compounds (at 300°C) to condensational growth of atmospheric nanoparticles: An assessment based on 8.5 years of observations at the Central Europe background site Melpitz Z. Wang et al. https://doi.org/10.1002/2016JD025581
95. The important roles of surface tension and growth rate in the contribution of new particle formation (NPF) to cloud condensation nuclei (CCN) number concentration: evidence from field measurements in southern China M. Cai et al. https://doi.org/10.5194/acp-21-8575-2021
96. Errors in nanoparticle growth rates inferred from measurements in chemically reacting aerosol systems C. Li & P. McMurry https://doi.org/10.5194/acp-18-8979-2018
97. Trends in new particle formation in eastern Lapland, Finland: effect of decreasing sulfur emissions from Kola Peninsula E. Kyrö et al. https://doi.org/10.5194/acp-14-4383-2014
98. Sub-3 nm Particle Detection with Commercial TSI 3772 and Airmodus A20 Fine Condensation Particle Counters J. Kangasluoma et al. https://doi.org/10.1080/02786826.2015.1058481
99. Understanding global secondary organic aerosol amount and size-resolved condensational behavior S. D'Andrea et al. https://doi.org/10.5194/acp-13-11519-2013
100. Enhancing acid–base–water ternary aerosol nucleation with organic acid: a case of tartaric acid C. Wang et al. https://doi.org/10.1039/D3CP00809F
101. Acid–base chemical reaction model for nucleation rates in the polluted atmospheric boundary layer M. Chen et al. https://doi.org/10.1073/pnas.1210285109
102. Sizing of neutral sub 3nm tungsten oxide clusters using Airmodus Particle Size Magnifier J. Kangasluoma et al. https://doi.org/10.1016/j.jaerosci.2015.05.007
103. Formation and growth of sub-3-nm aerosol particles in experimental chambers L. Dada et al. https://doi.org/10.1038/s41596-019-0274-z
104. The driving effects of common atmospheric molecules for formation of clusters: the case of sulfuric acid, nitric acid, hydrochloric acid, ammonia, and dimethylamine O. Longsworth et al. https://doi.org/10.1039/D3EA00118K
105. Critical cluster size cannot in practice be determined by slope analysis in atmospherically relevant applications O. Kupiainen-Määttä et al. https://doi.org/10.1016/j.jaerosci.2014.07.005
106. Estimating the influence of transport on aerosol size distributions during new particle formation events R. Cai et al. https://doi.org/10.5194/acp-18-16587-2018
107. Vibrational Spectra of Atmospherically Relevant Hydrogen-Bonded MSA···(H2SO4)n (n = 1–3) Clusters D. Gonçalves et al. https://doi.org/10.1021/acs.jpca.1c05214