47 citations as recorded by crossref.

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3. An exploratory study on the aerosol height retrieval from OMI measurements of the 477  nm O<sub>2</sub> − O<sub>2</sub> spectral band using a neural network approach J. Chimot et al. 10.5194/amt-10-783-2017
4. NO2 pollution over selected cities in the Po valley in 2018–2021 and its possible effects on boosting COVID-19 deaths C. Serio et al. 10.1016/j.heliyon.2022.e09978
5. Long-term (2006–2015) variations and relations of multiple atmospheric pollutants based on multi-remote sensing data over the North China Plain Y. Si et al. 10.1016/j.envpol.2019.113323
6. Impact of aerosols on the OMI tropospheric NO<sub>2</sub> retrievals over industrialized regions: how accurate is the aerosol correction of cloud-free scenes via a simple cloud model? J. Chimot et al. 10.5194/amt-9-359-2016
7. Threefold reduction of modeled uncertainty in direct radiative effects over biomass burning regions by constraining absorbing aerosols Q. Zhong et al. 10.1126/sciadv.adi3568
8. An improved tropospheric NO<sub>2</sub> column retrieval algorithm for the Ozone Monitoring Instrument K. Boersma et al. 10.5194/amt-4-1905-2011
9. The Ozone Monitoring Instrument: overview of 14 years in space P. Levelt et al. 10.5194/acp-18-5699-2018
10. A global aerosol classification algorithm incorporating multiple satellite data sets of aerosol and trace gas abundances M. Penning de Vries et al. 10.5194/acp-15-10597-2015
11. Satellite-based Estimates of Ambient Air Pollution and Global Variations in Childhood Asthma Prevalence H. Anderson et al. 10.1289/ehp.1104724
12. MAX-DOAS measurements of tropospheric NO<sub>2</sub> and HCHO in Munich and the comparison to OMI and TROPOMI satellite observations K. Chan et al. 10.5194/amt-13-4499-2020
13. Towards a satellite formaldehyde – in situ hybrid estimate for organic aerosol abundance J. Liao et al. 10.5194/acp-19-2765-2019
14. Temporal Variability and Characterization of Aerosols across the Pakistan Region during the Winter Fog Periods M. Khokhar et al. 10.3390/atmos7050067
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17. Evaluation of tropospheric SO<sub>2</sub> retrieved from MAX-DOAS measurements in Xianghe, China T. Wang et al. 10.5194/acp-14-11149-2014
18. Estimating 2013–2019 NO2 exposure with high spatiotemporal resolution in China using an ensemble model C. Huang et al. 10.1016/j.envpol.2021.118285
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20. Summer PM2.5 Pollution Extremes Caused by Wildfires Over the Western United States During 2017–2018 Y. Xie et al. 10.1029/2020GL089429
21. Global mortality from outdoor fine particle pollution generated by fossil fuel combustion: Results from GEOS-Chem K. Vohra et al. 10.1016/j.envres.2021.110754
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23. Validation of TROPOMI tropospheric NO2 columns using dual-scan multi-axis differential optical absorption spectroscopy (MAX-DOAS) measurements in Uccle, Brussels E. Dimitropoulou et al. 10.5194/amt-13-5165-2020
24. Limb–nadir matching using non-coincident NO<sub>2</sub> observations: proof of concept and the OMI-minus-OSIRIS prototype product C. Adams et al. 10.5194/amt-9-4103-2016
25. A First Approach to Aerosol Classification Using Space-Borne Measurement Data: Machine Learning-Based Algorithm and Evaluation W. Choi et al. 10.3390/rs13040609
26. Spatio-temporal variations in NO2 and SO2 over Shanghai and Chongming Eco-Island measured by Ozone Monitoring Instrument (OMI) during 2008–2017 R. Xue et al. 10.1016/j.jclepro.2020.120563
27. Minimizing aerosol effects on the OMI tropospheric NO2 retrieval – An improved use of the 477 nm O2 − O2 band and an estimation of the aerosol correction uncertainty J. Chimot et al. 10.5194/amt-12-491-2019
28. Changes in atmospheric aerosol loading retrieved from space-based measurements during the past decade J. Yoon et al. 10.5194/acp-14-6881-2014
29. Remote sensing of atmospheric biogenic volatile organic compounds (BVOCs) via satellite-based formaldehyde vertical column assessments S. Kefauver et al. 10.1080/01431161.2014.968690
30. Impact of urban pollution emitted in Warsaw on aerosol properties O. Zawadzka et al. 10.1016/j.atmosenv.2012.11.065
31. Global Formaldehyde Products From the Ozone Mapping and Profiler Suite (OMPS) Nadir Mappers on Suomi NPP and NOAA‐20 C. Nowlan et al. 10.1029/2022EA002643
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34. Summertime Aerosol Radiative Effects and Their Dependence on Temperature over the Southeastern USA T. Mielonen et al. 10.3390/atmos9050180
35. Global observations of aerosol-cloud-precipitation-climate interactions D. Rosenfeld et al. 10.1002/2013RG000441
36. Satellite‐Observed Impacts of Wildfires on Regional Atmosphere Composition and the Shortwave Radiative Forcing: A Multiple Case Study Y. Fu et al. 10.1029/2017JD027927
37. AOD Derivation from SDGSAT-1/GLI Dataset in Mega-City Area N. Wang et al. 10.3390/rs15051343
38. Changes in Power Plant NOx Emissions over Northwest Greece Using a Data Assimilation Technique I. Skoulidou et al. 10.3390/atmos12070900
39. Long-Term (2005–2017) View of Atmospheric Pollutants in Central China Using Multiple Satellite Observations R. Li et al. 10.3390/rs12061041
40. Comparison of GEOS‐Chem aerosol optical depth with AERONET and MISR data over the contiguous United States S. Li et al. 10.1002/jgrd.50867
41. Inter-comparison of model-simulated and satellite-retrieved componential aerosol optical depths in China S. Li et al. 10.1016/j.atmosenv.2016.06.075
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43. A new method for deriving trace gas emission inventories from satellite observations: The case of SO2 over China K. Kourtidis et al. 10.1016/j.scitotenv.2017.08.313
44. Air pollution trends measured from Terra: CO and AOD over industrial, fire-prone, and background regions R. Buchholz et al. 10.1016/j.rse.2020.112275
45. Anthropogenic aerosol emissions mapping and characterization by imaging spectroscopy – application to a metallurgical industry and a petrochemical complex Y. Philippets et al. 10.1080/01431161.2018.1513665
46. Correlation between the spatio-temporal distributions of aerosols, sulphur dioxide, and formaldehyde using MODIS and SCIAMACHY satellite data for China M. Cheng et al. 10.1080/01431161.2015.1070317
47. Modeling of tropospheric NO2 column over different climatic zones and land use/land cover types in South Asia Z. ul-Haq et al. 10.1016/j.jastp.2018.01.022