50 citations as recorded by crossref.

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4. Frequent new particle formation at remote sites in the subboreal forest of North America M. Andreae et al. https://doi.org/10.5194/acp-22-2487-2022
5. Global analysis of continental boundary layer new particle formation based on long-term measurements T. Nieminen et al. https://doi.org/10.5194/acp-18-14737-2018
6. Using satellite‐based measurements to explore spatiotemporal scales and variability of drivers of new particle formation R. Sullivan et al. https://doi.org/10.1002/2016JD025568
7. New Particle Formation and Growth at Baengnyeong Island in 2016 B. Lim et al. https://doi.org/10.5572/KOSAE.2018.34.6.831
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9. Vertically resolved concentration and liquid water content of atmospheric nanoparticles at the US DOE Southern Great Plains site H. Chen et al. https://doi.org/10.5194/acp-18-311-2018
10. A method for estimating the ratio of aerosol mass concentration to the imaginary part of the atmospheric complex refractive index and its application R. Yuan et al. https://doi.org/10.1016/j.atmosres.2021.105848
11. Exploring non-linear associations between atmospheric new-particle formation and ambient variables: a mutual information approach M. Zaidan et al. https://doi.org/10.5194/acp-18-12699-2018
12. Aerosol number concentrations and new particle formation events over a polluted megacity during the COVID-19 lockdown S. Yadav et al. https://doi.org/10.1016/j.atmosenv.2021.118526
13. Simultaneous measurements of particle number size distributions at ground level and 260 m on a meteorological tower in urban Beijing, China W. Du et al. https://doi.org/10.5194/acp-17-6797-2017
14. Differentiating between particle formation and growth events in an urban environment B. Pushpawela et al. https://doi.org/10.5194/acp-18-11171-2018
15. Global fields of daily accumulation-mode particle number concentrations using in situ observations, reanalysis data, and machine learning A. Ovaska et al. https://doi.org/10.5194/ar-3-589-2025
16. Quantifying aerosol size distributions and their temporal variability in the Southern Great Plains, USA P. Marinescu et al. https://doi.org/10.5194/acp-19-11985-2019
17. Forest canopy interactions with nucleation mode particles S. Pryor et al. https://doi.org/10.5194/acp-14-11985-2014
18. Observational evidence for the formation of DMS-derived aerosols during Arctic phytoplankton blooms K. Park et al. https://doi.org/10.5194/acp-17-9665-2017
19. Production of highly oxygenated organic molecules (HOMs) from trace contaminants during isoprene oxidation A. Bernhammer et al. https://doi.org/10.5194/amt-11-4763-2018
20. Global Modeling of Secondary Organic Aerosol With Organic Nucleation J. Zhu & J. Penner https://doi.org/10.1029/2019JD030414
21. Survival probability of new atmospheric particles: closure between theory and measurements from 1.4 to 100 nm R. Cai et al. https://doi.org/10.5194/acp-22-14571-2022
22. Insights into new particle formation in a Siberian boreal forest from nanoparticle ranking analysis A. Lampilahti et al. https://doi.org/10.5194/ar-3-441-2025
23. New particle formation events observed at King Sejong Station, Antarctic Peninsula – Part 1: Physical characteristics and contribution to cloud condensation nuclei J. Kim et al. https://doi.org/10.5194/acp-19-7583-2019
24. Observations of particle number size distributions and new particle formation in six Indian locations M. Sebastian et al. https://doi.org/10.5194/acp-22-4491-2022
25. New particle formation and diurnal variations in number concentrations at a rural site downwind of Seoul, Korea Y. Lee et al. https://doi.org/10.1016/j.apr.2021.01.014
26. Modelling the impact of anthropogenic aerosols on CCN concentrations over a rural boreal forest environment P. Clusius et al. https://doi.org/10.5194/acp-26-1967-2026
27. Measurement report: Atmospheric new particle formation in a coastal agricultural site explained with binPMF analysis of nitrate CI-APi-TOF spectra M. Olin et al. https://doi.org/10.5194/acp-22-8097-2022
28. Influence of biogenic emissions from boreal forests on aerosol–cloud interactions T. Petäjä et al. https://doi.org/10.1038/s41561-021-00876-0
29. Contribution of New Particle Formation to Cloud Condensation Nuclei Activity and its Controlling Factors in a Mountain Region of Inland China M. Cai et al. https://doi.org/10.1029/2020JD034302
30. Particle growth in an isoprene-rich forest: Influences of urban, wildfire, and biogenic air masses M. Gunsch et al. https://doi.org/10.1016/j.atmosenv.2018.01.058
31. Shipborne observations reveal contrasting Arctic marine, Arctic terrestrial and Pacific marine aerosol properties J. Park et al. https://doi.org/10.5194/acp-20-5573-2020
32. Spring and summer contrast in new particle formation over nine forest areas in North America F. Yu et al. https://doi.org/10.5194/acp-15-13993-2015
33. Nucleation mode aerosol particles estimation using satellite-based proxies over western Himalayan region, Uttarakhand, India K. Singh et al. https://doi.org/10.1016/j.geogeo.2025.100422
34. Characteristics of new particle formation events at high-altitude location of Western Himalayan Region, Tehri Garhwal, India K. Singh et al. https://doi.org/10.1016/j.atmosres.2024.107903
35. Long-term aerosol size distributions and the potential role of volatile organic compounds (VOCs) in new particle formation events in Shanghai Y. Ling et al. https://doi.org/10.1016/j.atmosenv.2019.01.018
36. Characteristics of atmospheric fungi in particle growth events along with new particle formation in the central North China Plain N. Luo et al. https://doi.org/10.1016/j.scitotenv.2019.05.299
37. New Particle Formation and Growth to Climate‐Relevant Aerosols at a Background Remote Site in the Western Himalaya M. Sebastian et al. https://doi.org/10.1029/2020JD033267
38. Long- and short-term temporal variability in cloud condensation nuclei spectra over a wide supersaturation range in the Southern Great Plains site R. Perkins et al. https://doi.org/10.5194/acp-22-6197-2022
39. Key features of new particle formation events at background sites in China and their influence on cloud condensation nuclei X. Shen et al. https://doi.org/10.1007/s11783-016-0833-2
40. New particle formation event detection with convolutional neural networks X. Zhang et al. https://doi.org/10.1016/j.atmosenv.2024.120487
41. Dynamic and chemical controls on new particle formation occurrence and characteristics from in situ and satellite-based measurements R. Sullivan & S. Pryor https://doi.org/10.1016/j.atmosenv.2015.12.050
42. Fine Particle Formation and Dependence of Wet Deposition on Precipitation Intensity in an Urban Area H. Liu et al. https://doi.org/10.1080/07055900.2024.2325921
43. Evolution of PM2.5 chemical composition during summer new particle formation in a coastal city in the Yangtze River Delta: insights from pollution episodes, machine learning, and air mass origins H. Zhou et al. https://doi.org/10.1016/j.envres.2026.124897
44. Modeled deposition of fine particles in human airway in Beijing, China X. Li et al. https://doi.org/10.1016/j.atmosenv.2015.06.045
45. New particle formation in the Svalbard region 2006–2015 J. Heintzenberg et al. https://doi.org/10.5194/acp-17-6153-2017
46. Long-term quantitative field study of New Particle Formation (NPF) events as a source of Cloud Condensation Nuclei (CCN) in the urban background of Vienna C. Dameto de España et al. https://doi.org/10.1016/j.atmosenv.2017.06.001
47. New Insights on the Formation of Nucleation Mode Particles in a Coastal City Based on a Machine Learning Approach C. Yang et al. https://doi.org/10.1021/acs.est.3c07042
48. Spatial distribution and occurrence probability of regional new particle formation events in eastern China X. Shen et al. https://doi.org/10.5194/acp-18-587-2018
49. Characterization of particle number size distribution and new particle formation in an urban environment in Lanzhou, China X. Zhang et al. https://doi.org/10.1016/j.jaerosci.2016.10.010
50. Two new submodels for the Modular Earth Submodel System (MESSy): New Aerosol Nucleation (NAN) and small ions (IONS) version 1.0 S. Ehrhart et al. https://doi.org/10.5194/gmd-11-4987-2018