40 citations as recorded by crossref.

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2. Submicron-scale aerosol above the city canopy in Beijing in spring based on in-situ meteorological tower measurements Q. Wang et al. 10.1016/j.atmosres.2022.106128
3. Two air pollution events in the coastal city of Tianjin, north China plain H. Zhao et al. 10.1016/j.apr.2019.07.009
4. Pollution characteristics and light-driven evolution of environmentally persistent free radicals in PM2.5 in two typical northern cities of China J. Ai et al. 10.1016/j.jhazmat.2023.131466
5. Seasonal variation and secondary formation of size-segregated aerosol water-soluble inorganic ions in a coast megacity of North China Plain Q. Yao et al. 10.1007/s11356-020-09052-0
6. Vertical distribution of ambient air pollutants (PM2.5, PM10, NOX, and NO2); A systematic review V. Roostaei et al. 10.1016/j.heliyon.2024.e39726
7. Statistical distribution and particle dosimetry models to estimate personal exposure at urban sidewalks of tropical climate J. Menon & S. S.M 10.1016/j.scs.2017.09.005
8. Assessing PM2.5 concentrations in Tehran, Iran, from space using MAIAC, deep blue, and dark target AOD and machine learning algorithms S. Nabavi et al. 10.1016/j.apr.2018.12.017
9. Temporal variations, sources, and regional transport of carbonaceous species in PM2.5 in a northern China city: the role of domestic heating Y. Sun et al. 10.1007/s44246-023-00078-w
10. Characteristics and Source Apportionment of Size-Fractionated Particulate Matter at Ground and above the Urban Canopy (380 m) in Nanjing, China H. Wu et al. 10.3390/atmos13060883
11. Characterization of chemical compositions in size-segregated atmospheric particles during severe haze episodes in three mega-cities of China J. Wang et al. 10.1016/j.atmosres.2016.12.004
12. Vertically Resolved Aerosol Chemistry in the Low Boundary Layer of Beijing in Summer Y. Li et al. 10.1021/acs.est.2c02861
13. Aircraft observations on a continuous haze pollution event in Shijiazhuang area X. Zhou et al. 10.3389/feart.2022.1066610
14. Estimation of background concentration of ambient pollutants for Delhi NCT region R. Chaurasia & M. Mohan 10.1016/j.apr.2022.101476
15. Understanding Spatial Variability of Air Quality in Sydney: Part 1—A Suburban Balcony Case Study J. Simmons et al. 10.3390/atmos10040181
16. Characterization of background particulate matter concentrations using the combination of two clustering techniques in zones with heterogeneous emission sources Y. Martín-Cruz et al. 10.1016/j.atmosenv.2020.117832
17. Estimation of background concentration of PM in Beijing using a statistical integrated approach S. Gao et al. 10.1016/j.apr.2018.12.014
18. Vertical profiling of fine particulate matter and black carbon by using unmanned aerial vehicle in Macau, China B. Liu et al. 10.1016/j.scitotenv.2019.136109
19. Urban aerosol assessment and forecast: Coimbra case study O. Tchepel et al. 10.1016/j.apr.2020.04.006
20. Application of Kolmogorov-Zurbenko filter to quantify the long-term meteorological and emission impacts on air quality I. Sezen et al. 10.1016/j.atmosres.2023.106714
21. High Resolution On-Road Air Pollution Using a Large Taxi-Based Mobile Sensor Network Y. Sun et al. 10.3390/s22166005
22. Characterizing nighttime vertical profiles of atmospheric particulate matter and ozone in a megacity of south China using unmanned aerial vehicle measurements Z. Wang et al. 10.1016/j.envres.2023.116854
23. Boundary layer structure and scavenging effect during a typical winter haze-fog episode in a core city of BTH region, China S. Han et al. 10.1016/j.atmosenv.2018.02.023
24. Vertical profiling of atmospheric air pollutants in rural India: A case study on particulate matter (PM10/PM2.5/PM1), carbon dioxide, and formaldehyde S. Gautam et al. 10.1016/j.measurement.2021.110061
25. Effects of Different Aerosols on the Air Pollution and Their Relationship With Meteorological Parameters in North China Plain H. Zhao et al. 10.3389/fenvs.2022.814736
26. The fractionation and geochemical characteristics of rare earth elements measured in ambient size-resolved PM in an integrated iron and steelmaking industry zone Q. Dai et al. 10.1007/s11356-016-6893-9
27. Trend analysis of observational PM10 concentrations in Shimla city, India R. Ganguly et al. 10.1016/j.scs.2019.101719
28. A 3D study on the amplification of regional haze and particle growth by local emissions W. Du et al. 10.1038/s41612-020-00156-5
29. Vertical and horizontal variability of PM<sub>10</sub> source contributions in Barcelona during SAPUSS M. Brines et al. 10.5194/acp-16-6785-2016
30. Characterization and source apportionment of size-segregated atmospheric particulate matter collected at ground level and from the urban canopy in Tianjin J. Wang et al. 10.1016/j.envpol.2016.10.069
31. A machine learning modelling approach to characterize the background pollution in the Western Macedonia region in northwest Greece K. Rizos et al. 10.1016/j.apr.2023.101877
32. Estimation of pollutant baseline concentration in Delhi city: An opportunity from coupled effect of rainfall scavenging and lockdown restriction S. Gulia et al. 10.1016/j.apr.2024.102097
33. Estimating representative background PM2.5 concentration in heavily polluted areas using baseline separation technique and chemical mass balance model S. Gao et al. 10.1016/j.atmosenv.2017.11.045
34. Modelling background air pollution exposure in urban environments: Implications for epidemiological research Á. Gómez-Losada et al. 10.1016/j.envsoft.2018.02.011
35. Determination of the background pollution in the Eastern Mediterranean applying a statistical clustering technique K. Rizos et al. 10.1016/j.atmosenv.2022.119067
36. Vertical Characterization of Aerosol Particle Composition in Beijing, China: Insights From 3‐Month Measurements With Two Aerosol Mass Spectrometers W. Zhou et al. 10.1029/2018JD029337
37. Climatological Characteristics and Aerosol Loading Trends from 2001 to 2020 Based on MODIS MAIAC Data for Tianjin, North China Plain Z. Wu et al. 10.3390/su14031072
38. auSense: Collaborative Airspace Sensing by Commercial Airplanes and Unmanned Aerial Vehicles Y. Pan et al. 10.1109/TVT.2020.2986219
39. Background concentration of atmospheric PM2.5 in the Beijing–Tianjin–Hebei urban agglomeration: Levels, variation trends, and influences of meteorology and emission S. Gao et al. 10.1016/j.apr.2022.101583
40. Numerical simulation of atmospheric transmittance between heliostats and heat receiver in Tower-Type solar thermal power station Y. Shen et al. 10.1016/j.solener.2023.112107