48 citations as recorded by crossref.

1. Atmospheric gaseous hydrochloric and hydrobromic acid in urban Beijing, China: detection, source identification and potential atmospheric impacts X. Fan et al. 10.5194/acp-21-11437-2021
2. Analysis of new particle formation events and comparisons to simulations of particle number concentrations based on GEOS-Chem–advanced particle microphysics in Beijing, China K. Wang et al. 10.5194/acp-23-4091-2023
3. Data imputation in in situ-measured particle size distributions by means of neural networks P. Fung et al. 10.5194/amt-14-5535-2021
4. Role of iodine oxoacids in atmospheric aerosol nucleation X. He et al. 10.1126/science.abe0298
5. Rapid night-time nanoparticle growth in Delhi driven by biomass-burning emissions S. Mishra et al. 10.1038/s41561-023-01138-x
6. Opinion: A paradigm shift in investigating the general characteristics of atmospheric new particle formation using field observations M. Kulmala et al. 10.5194/ar-2-49-2024
7. Condensation sink of atmospheric vapors: the effect of vapor properties and the resulting uncertainties S. Tuovinen et al. 10.1039/D1EA00032B
8. Measurement report: The influence of traffic and new particle formation on the size distribution of 1–800 nm particles in Helsinki – a street canyon and an urban background station comparison M. Okuljar et al. 10.5194/acp-21-9931-2021
9. Measurement report: The 4-year variability and influence of the Winter Olympics and other special events on air quality in urban Beijing during wintertime Y. Guo et al. 10.5194/acp-23-6663-2023
10. The standard operating procedure for Airmodus Particle Size Magnifier and nano-Condensation Nucleus Counter K. Lehtipalo et al. 10.1016/j.jaerosci.2021.105896
11. Novel aerosol diluter – Size dependent characterization down to 1 nm particle size M. Lampimäki et al. 10.1016/j.jaerosci.2023.106180
12. New Insights on the Formation of Nucleation Mode Particles in a Coastal City Based on a Machine Learning Approach C. Yang et al. 10.1021/acs.est.3c07042
13. Influence of Aerosol Chemical Composition on Condensation Sink Efficiency and New Particle Formation in Beijing W. Du et al. 10.1021/acs.estlett.2c00159
14. Survival probabilities of atmospheric particles: comparison based on theory, cluster population simulations, and observations in Beijing S. Tuovinen et al. 10.5194/acp-22-15071-2022
15. Seasonal Characteristics of New Particle Formation and Growth in Urban Beijing C. Deng et al. 10.1021/acs.est.0c00808
16. Wavelet periodic and compositional characteristics of atmospheric PM2.5 in a typical air pollution event at Jinzhong city, China Y. Dong et al. 10.1016/j.apr.2020.09.013
17. Observed coupling between air mass history, secondary growth of nucleation mode particles and aerosol pollution levels in Beijing S. Hakala et al. 10.1039/D1EA00089F
18. Particle growth with photochemical age from new particle formation to haze in the winter of Beijing, China B. Chu et al. 10.1016/j.scitotenv.2020.142207
19. Source-oriented risk and lung-deposited surface area (LDSA) of ultrafine particles in a Southeast Asia urban area T. Chen et al. 10.1016/j.scitotenv.2023.161733
20. Size-resolved particle number emissions in Beijing determined from measured particle size distributions J. Kontkanen et al. 10.5194/acp-20-11329-2020
21. Vertical profile of aerosol number size distribution during a haze pollution episode in Hefei, China L. Shen et al. 10.1016/j.scitotenv.2021.152693
22. Input-adaptive linear mixed-effects model for estimating alveolar lung-deposited surface area (LDSA) using multipollutant datasets P. Fung et al. 10.5194/acp-22-1861-2022
23. Deposition potential of 0.003–10 µm ambient particles in the humidified human respiratory tract: Contribution of new particle formation events in Beijing L. Ma et al. 10.1016/j.ecoenv.2022.114023
24. Rapid mass growth and enhanced light extinction of atmospheric aerosols during the heating season haze episodes in Beijing revealed by aerosol–chemistry–radiation–boundary layer interaction Z. Lin et al. 10.5194/acp-21-12173-2021
25. Measurement report: New particle formation characteristics at an urban and a mountain station in northern China Y. Zhou et al. 10.5194/acp-21-17885-2021
26. Overview of measurements and current instrumentation for 1–10 nm aerosol particle number size distributions J. Kangasluoma et al. 10.1016/j.jaerosci.2020.105584
27. Analysing the impact of day-night road traffic variation on ultrafine particle number size distribution and concentration at an urban site in the megacity Delhi V. Mohan et al. 10.1016/j.apr.2024.102065
28. Towards a concentration closure of sub-6 nm aerosol particles and sub-3 nm atmospheric clusters M. Kulmala et al. 10.1016/j.jaerosci.2021.105878
29. Measurement Report: Wintertime new particle formation in the rural area of the North China Plain – influencing factors and possible formation mechanism J. Hong et al. 10.5194/acp-23-5699-2023
30. Measurement report: A multi-year study on the impacts of Chinese New Year celebrations on air quality in Beijing, China B. Foreback et al. 10.5194/acp-22-11089-2022
31. Investigation of Particle Number Concentrations and New Particle Formation With Largely Reduced Air Pollutant Emissions at a Coastal Semi‐Urban Site in Northern China Y. Zhu et al. 10.1029/2021JD035419
32. Influence of organic aerosol molecular composition on particle absorptive properties in autumn Beijing J. Cai et al. 10.5194/acp-22-1251-2022
33. Insights into the chemistry of aerosol growth in Beijing: Implication of fine particle episode formation during wintertime S. Yang et al. 10.1016/j.chemosphere.2021.129776
34. Particle number concentrations and size distribution in a polluted megacity: the Delhi Aerosol Supersite study S. Gani et al. 10.5194/acp-20-8533-2020
35. Temporal and spatial shifts in the chemical composition of urban coastal rainwaters of Kuwait: The role of air mass trajectory and meteorological variables D. SVV et al. 10.1016/j.scitotenv.2023.165649
36. Is reducing new particle formation a plausible solution to mitigate particulate air pollution in Beijing and other Chinese megacities? M. Kulmala et al. 10.1039/D0FD00078G
37. Increasing contribution of nighttime nitrogen chemistry to wintertime haze formation in Beijing observed during COVID-19 lockdowns C. Yan et al. 10.1038/s41561-023-01285-1
38. Sources and sinks driving sulfuric acid concentrations in contrasting environments: implications on proxy calculations L. Dada et al. 10.5194/acp-20-11747-2020
39. Insights into vertical differences of particle number size distributions in winter in Beijing, China W. Du et al. 10.1016/j.scitotenv.2021.149695
40. Atmospheric and ecosystem big data providing key contributions in reaching United Nations’ Sustainable Development Goals M. Kulmala et al. 10.1080/20964471.2021.1936943
41. Nitrogen and rice straw incorporation impact nitrogen use efficiency, soil nitrogen pools and enzyme activity in rice-wheat system in north-western India S. Sharma et al. 10.1016/j.fcr.2021.108131
42. Quantitative estimation of meteorological impacts and the COVID-19 lockdown reductions on NO2 and PM2.5 over the Beijing area using Generalized Additive Models (GAM) J. Hua et al. 10.1016/j.jenvman.2021.112676
43. Overview: Recent advances in the understanding of the northern Eurasian environments and of the urban air quality in China – a Pan-Eurasian Experiment (PEEX) programme perspective H. Lappalainen et al. 10.5194/acp-22-4413-2022
44. Size-segregated particle number and mass concentrations from different emission sources in urban Beijing J. Cai et al. 10.5194/acp-20-12721-2020
45. The contribution of new particle formation and subsequent growth to haze formation M. Kulmala et al. 10.1039/D1EA00096A
46. Investigating the effectiveness of condensation sink based on heterogeneous nucleation theory S. Tuovinen et al. 10.1016/j.jaerosci.2020.105613
47. High Concentration of Atmospheric Sub‐3 nm Particles in Polluted Environment of Eastern China: New Particle Formation and Traffic Emission L. Chen et al. 10.1029/2023JD039669
48. Pushing nano-aerosol measurements towards a new decade – technical note on the Airmodus particle size magnifier 2.0 J. Sulo et al. 10.5194/ar-2-13-2024