53 citations as recorded by crossref.

1. Particle formation and growth at five rural and urban sites C. Jeong et al. 10.5194/acp-10-7979-2010
2. Spatial variability and health assessment of particle number concentration at different exposure locations near urban traffic arterial: A case study in Xi'an, China G. Li et al. 10.1016/j.atmosenv.2023.120086
3. A novel mobile monitoring approach to characterize spatial and temporal variation in traffic-related air pollutants in an urban community C. Yu et al. 10.1016/j.atmosenv.2016.06.044
4. Sub-micron particle number size distribution characteristics at two urban locations in Leicester S. Hama et al. 10.1016/j.atmosres.2017.04.021
5. Characterization of parameters influencing the spatio-temporal variability of urban particle number size distributions in four European cities C. von Bismarck-Osten et al. 10.1016/j.atmosenv.2013.05.029
6. Comparison of trace elements in size-fractionated particles in two communities with contrasting socioeconomic status in Houston, TX I. Han et al. 10.1007/s10661-017-5780-2
7. Chemical composition and redox activity of PM0.25 near Los Angeles International Airport and comparisons to an urban traffic site F. Shirmohammadi et al. 10.1016/j.scitotenv.2017.08.239
8. Exploration and Application of Regulatory PM₁₀ Measurement Data for Developing Long-term Prediction Models in South Korea S. Yi et al. 10.5572/KOSAE.2016.32.1.114
9. Evaluation of regional background particulate matter concentration based on vertical distribution characteristics S. Han et al. 10.5194/acp-15-11165-2015
10. Characteristics of formation and growth of atmospheric nanoparticles observed at four regional background sites in Korea Y. Kim et al. 10.1016/j.atmosres.2015.08.020
11. Four-year assessment of ambient particulate matter and trace gases in the Delhi-NCR region of India S. Hama et al. 10.1016/j.scs.2019.102003
12. Spatiotemporal variability of submicrometer particle number size distributions in an air quality management district L. Young et al. 10.1016/j.scitotenv.2012.02.063
13. Spatial Variability of AERONET Aerosol Optical Properties and Satellite Data in South Korea during NASA DRAGON-Asia Campaign H. Lee & Y. Son 10.1021/acs.est.5b04831
14. Chemical composition of indoor and outdoor PM2.5 in the eastern Arabian Peninsula E. Tutsak et al. 10.1007/s11356-024-34482-5
15. Impact of anthropogenic emissions and open biomass burning on carbonaceous aerosols in urban and rural environments of Indo-Gangetic Plain R. Singh et al. 10.1007/s11869-015-0377-9
16. Statistical modelling of aerosol particle number size distributions in urban and rural environments – A multi-site study C. von Bismarck-Osten et al. 10.1016/j.uclim.2014.11.004
17. Spatiotemporal variability of the PM2.5 distribution and weather anomalies during severe pollution events: Observations from 462 air quality monitoring stations across South Korea S. Han et al. 10.1016/j.apr.2023.101676
18. Mapping the performance of a versatile water-based condensation particle counter (vWCPC) with numerical simulation and experimental study W. Hao et al. 10.5194/amt-16-3973-2023
19. A benchmark for numerical scheme validation of airborne particle exposure in street canyons S. Marini et al. 10.1007/s11356-014-3491-6
20. Intraurban variability of PM10 and PM2.5 in an Eastern Mediterranean city R. Massoud et al. 10.1016/j.atmosres.2011.05.019
21. Characteristics of PM2.5 emitted from the combustion of vehicular fuel and solid biomass: Thermally fractionated carbon, δ13C values, and filter-based light absorption S. Samiksha et al. 10.1016/j.apr.2022.101443
22. Monitoring Air Pollution Variability during Disasters E. Nance 10.3390/atmos12040420
23. Demonstration of a Low-Cost Multi-Pollutant Network to Quantify Intra-Urban Spatial Variations in Air Pollutant Source Impacts and to Evaluate Environmental Justice R. Tanzer et al. 10.3390/ijerph16142523
24. Variability of particle number concentration and particle size dynamics in an urban street canyon under different meteorological conditions S. Weber et al. 10.1016/j.scitotenv.2013.01.044
25. Comparison of atmospheric polycyclic aromatic hydrocarbon levels in three urban areas in Lebanon R. Baalbaki et al. 10.1016/j.atmosenv.2018.02.028
26. Variability of black carbon mass concentrations, sub-micrometer particle number concentrations and size distributions: results of the German Ultrafine Aerosol Network ranging from city street to High Alpine locations J. Sun et al. 10.1016/j.atmosenv.2018.12.029
27. Chemical composition and source identification of PM10 in five North Western European cities S. Hama et al. 10.1016/j.atmosres.2018.07.014
28. Investigating daytime and night-time differences with the seasonal trend and sources of inorganic fine aerosols in Indo-Gangetic plain S. Chandra et al. 10.1007/s12040-018-1064-7
29. Measuring and modelling the local-scale spatio-temporal variation of urban particle number size distributions and black carbon M. Ruths et al. 10.1016/j.atmosenv.2014.07.020
30. Air Quality in Lanzhou, a Major Industrial City in China: Characteristics of Air Pollution and Review of Existing Evidence from Air Pollution and Health Studies Y. Zhang et al. 10.1007/s11270-014-2187-3
31. Intra-urban variation of ultrafine particles as evaluated by process related land use and pollutant driven regression modelling Y. Ghassoun et al. 10.1016/j.scitotenv.2015.07.051
32. Investigating PM2.5 Oxidative Potential and Its Association with Chemical Constituents Measured outside of Urban Residences in Three Metropolitan Cities of India S. Dubey et al. 10.1289/JHP1007
33. Using Multisource Data to Assess PM2.5 Exposure and Spatial Analysis of Lung Cancer in Guangzhou, China W. Fan et al. 10.3390/ijerph19052629
34. Assessment of Particulate Matter Levels in Vulnerable Communities in North Charleston, South Carolina prior to Port Expansion E. Svendsen et al. 10.4137/EHI.S12814
35. Size-Segregated Particle Number Concentrations and Respiratory Emergency Room Visits in Beijing, China A. Leitte et al. 10.1289/ehp.1002203
36. Contrasting intra-urban variability of ultrafine particle number and fine particle mass concentrations in Dhaka, Bangladesh, and Pittsburgh, USA P. Saha et al. 10.1016/j.atmosenv.2024.120497
37. Intra-Community Variability in Total Particle Number Concentrations in the San Pedro Harbor Area (Los Angeles, California) K. Moore et al. 10.1080/02786820902800900
38. Urban-Scale Seasonal and Spatial Variability of Ultrafine Particle Number Concentrations Y. Wang et al. 10.1007/s11270-011-1018-z
39. Inter-community variability in total particle number concentrations in the eastern Los Angeles air basin N. Hudda et al. 10.5194/acp-10-11385-2010
40. Seasonal and spatial variability in chemical composition and mass closure of ambient ultrafine particles in the megacity of Los Angeles N. Daher et al. 10.1039/C2EM30615H
41. Air pollution in Germany: Spatio-temporal variations and their driving factors based on continuous data from 2008 to 2018 X. Liu et al. 10.1016/j.envpol.2021.116732
42. Chemical characteristics, morphology and source apportionment of PM10 over National Capital Region (NCR) of India R. Banoo et al. 10.1007/s10661-023-12281-8
43. Gridded bias correction of modeled PM2.5 for exposure assessment, and estimation of background concentrations over a coastal valley region of northwestern British Columbia, Canada C. Onwukwe & P. Jackson 10.1080/10962247.2020.1844342
44. Evaluating meteorological comparability in air quality studies: Classification and regression trees for primary pollutants in California's South Coast Air Basin W. Choi et al. 10.1016/j.atmosenv.2012.09.049
45. Trends and source attribution of PAHs in fine particulate matter at an urban and a rural site in Indo-Gangetic plain M. Kulshrestha et al. 10.1016/j.uclim.2019.100485
46. Estimation of ultrafine particle concentrations at near-highway residences using data from local and central monitors C. Fuller et al. 10.1016/j.atmosenv.2012.04.004
47. The influence of local emissions and regional air pollution transport on a European air pollution hot spot J. Kozáková et al. 10.1007/s11356-018-3670-y
48. Ultrafine particles in four European urban environments: Results from a new continuous long-term monitoring network J. Hofman et al. 10.1016/j.atmosenv.2016.04.010
49. Spatial Heterogeneity of PM10 and O3 in São Paulo, Brazil, and Implications for Human Health Studies M. Bravo & M. Bell 10.3155/1047-3289.61.1.69
50. Personal exposure to ultrafine particles: Two-level statistical modeling of background exposure and time-activity patterns during three seasons V. Deffner et al. 10.1038/jes.2014.73
51. Quantifying high-resolution spatial variations and local source impacts of urban ultrafine particle concentrations P. Saha et al. 10.1016/j.scitotenv.2018.11.197
52. Seasonal variations and the influence of ventilation rates on IAQ: A case study of five low-energy London apartments S. Stamp et al. 10.1177/1420326X211017175
53. Spatial and Temporal Variability of Coarse (PM10−2.5) Particulate Matter Concentrations in the Los Angeles Area P. Pakbin et al. 10.1080/02786821003749509