57 citations as recorded by crossref.

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2. Long-term trend analysis of CO in the Yongsan district of Seoul, Korea, between the years 1987 and 2013 A. Khan et al. https://doi.org/10.1016/j.apr.2017.03.006
3. Weekly Cycle of Pollutant Concentrations in Near-Surface Air over Moscow N. Elansky et al. https://doi.org/10.1134/S1024856019010068
4. Statistical Characteristics of Air Quality Index DAQx*-Specific Air Pollutants Differentiated by Types of Air Quality Monitoring Stations: A Case Study of Seoul, Republic of Korea H. Lee et al. https://doi.org/10.3390/su15118599
5. Assessment of long-range transboundary aerosols in Seoul, South Korea from Geostationary Ocean Color Imager (GOCI) and ground-based observations S. Lee et al. https://doi.org/10.1016/j.envpol.2020.115924
6. Air Pollutants in an Intermediate City: Variability and Interactions with Weather and Anthropogenic Elements in Bahía Blanca, Argentina M. Fernández et al. https://doi.org/10.1007/s40710-021-00502-6
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8. Estimating historical SO2 level across the whole China during 1973–2014 using random forest model R. Li et al. https://doi.org/10.1016/j.chemosphere.2020.125839
9. Quantifying primary and secondary source contributions to ultrafine particles in the UK urban background S. Hama et al. https://doi.org/10.1016/j.atmosenv.2017.07.013
10. Performance evaluation of light weight gas sensor system suitable for airborne applications against co-location gas analysers over Delhi A. Ahlawat et al. https://doi.org/10.1016/j.scitotenv.2019.134016
11. Impact of Varying Wind Patterns on PM10 Concentrations in the Seoul Metropolitan Area in South Korea from 2012 to 2016 W. Jeon et al. https://doi.org/10.1175/JAMC-D-19-0102.1
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13. Seasonal impact to air qualities in industrial areas of the Arabian Gulf region A. Al-Taani et al. https://doi.org/10.4491/eer.2017.153
14. Novel Technology for the Removal of Brilliant Green from Water: Influence of Post-Oxidation, Environmental Conditions, and Capping M. Ganguly & P. Ariya https://doi.org/10.1021/acsomega.9b00757
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17. Residential indoor and outdoor exposure to VOCs and NO2: insights from a multi-city pilot study in India P. Vijay et al. https://doi.org/10.1007/s10653-026-03048-4
18. Long-term (2005–2015) trend analysis of PM2.5 precursor gas NO2 and SO2 concentrations in Taiwan C. Lee et al. https://doi.org/10.1007/s11356-018-2273-y
19. Assessment of the sustainable potential of parking lots in Bahía Blanca City, Argentina J. Gentili et al. https://doi.org/10.1007/s10708-019-10021-5
20. Spatio-temporal air pollution modelling using a compositional approach J. Sánchez-Balseca & A. Pérez-Foguet https://doi.org/10.1016/j.heliyon.2020.e04794
21. Exposure to ambient air pollution and the incidence of lung cancer and breast cancer in the Ontario Population Health and Environment Cohort L. Bai et al. https://doi.org/10.1002/ijc.32575
22. Air pollution and gender imbalance in labor supply responses: Evidence from South Korea A. Han et al. https://doi.org/10.1016/j.econmod.2023.106290
23. Temporal variability of tropospheric ozone and ozone profiles in the Korean Peninsula during the East Asian summer monsoon: insights from multiple measurements and reanalysis datasets J. Bak et al. https://doi.org/10.5194/acp-22-14177-2022
24. Spatio-temporal air quality assessment in Tehran, Iran, during the COVID-19 lockdown periods M. Bagherinia et al. https://doi.org/10.1080/10106049.2023.2169374
25. Gradient-Based Colorimetric Array Sensor for Continuous Monitoring of Multiple Gas Analytes C. Lin et al. https://doi.org/10.1021/acssensors.0c01971
26. Hazardous gases sensors based on conducting polymer composites: Review M. Farea et al. https://doi.org/10.1016/j.cplett.2021.138703
27. Association between short-term air pollution exposure and attention-deficit/hyperactivity disorder-related hospital admissions among adolescents: A nationwide time-series study J. Park et al. https://doi.org/10.1016/j.envpol.2020.115369
28. Photocatalytic performance of alkali-activated materials functionalized with β-Bi2O3/Bi2O2CO3 heterostructures for environmental remediation E. Luévano-Hipólito et al. https://doi.org/10.1016/j.conbuildmat.2021.126205
29. Exploratory analysis of the atmospheric levels of BTEX, criteria air pollutants and meteorological parameters in a tropical urban area in Northeastern Brazil L. Cruz et al. https://doi.org/10.1016/j.microc.2019.104265
30. Spatio-Temporal Analysis of Air Pollution in Sharjah City Pre-to-Post COVID-19 Lockdown A. Shanableh et al. https://doi.org/10.1080/15275922.2024.2431319
31. Source Apportionment of Atmospheric Ammonia at 16 Sites in China Using a Bayesian Isotope Mixing Model Based on δ15N–NHx Signatures Y. Zhang et al. https://doi.org/10.1021/acs.est.2c09796
32. Analysis of long-range transboundary transport (LRTT) effect on Korean aerosol pollution during the KORUS-AQ campaign S. Lee et al. https://doi.org/10.1016/j.atmosenv.2019.02.020
33. Rain-plume interactions at Nyiragongo and Nyamulagira volcanoes and associated rainwater hazards, East Africa C. Balagizi et al. https://doi.org/10.1016/j.apgeochem.2017.03.018
34. Assessing the Nonlinear Relationship between Land Cover Change and PM10 Concentration Change in China X. Xu et al. https://doi.org/10.3390/land13060766
35. Air pollution in Germany: Spatio-temporal variations and their driving factors based on continuous data from 2008 to 2018 X. Liu et al. https://doi.org/10.1016/j.envpol.2021.116732
36. Temporal variability of surface air pollutants in megacities of South Korea T. Lee et al. https://doi.org/10.3389/fenvs.2022.915531
37. Variability of the PM10 Concentration in the Urban Atmosphere of Sabah and Its Responses to Diurnal and Weekly Changes of CO, NO2, SO2 and Ozone J. Chang et al. https://doi.org/10.5572/ajae.2018.12.2.109
38. ANOVA Analysis and Spatiotemporal Visualisation of Tropospheric O3-NO2-HCHO Using GEE and GIOVANNI Platform over Mega-mining Region, Jharkhand (India): Targeting COVID-19 Lockdown Induced Three Consecutive Conflicting Periods (2019–2020–2021) S. Priya & J. Iqbal https://doi.org/10.1007/s41742-025-00863-y
39. Weekly patterns and weekend effects of air pollution in the Moscow megacity N. Elansky et al. https://doi.org/10.1016/j.atmosenv.2020.117303
40. Carbon monoxide and nitrogen dioxide patterns associated with changes in energy use during the COVID-19 pandemic in Kenya C. Ang'u et al. https://doi.org/10.3934/environsci.2022017
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42. Spatial and temporal variation of urban air pollutants and their concentrations in relation to meteorological conditions at four sites in Busan, South Korea E. Jang et al. https://doi.org/10.1016/j.apr.2016.07.009
43. Air Pollutants During COVID-19 Lockdown Period in India . Vignesh K. S. & P. Venkatasubramanian https://doi.org/10.20965/jdr.2021.p0088
44. Weekend effect on air pollutant levels in southernmost cities of Brazil with different economic activities L. de Vasconcellos Ceglinski et al. https://doi.org/10.1007/s10661-022-10518-6
45. Regional Differences of Primary Meteorological Factors Impacting O3 Variability in South Korea Y. Jeong et al. https://doi.org/10.3390/atmos11010074
46. Synergistic analysis of atmospheric pollutants NO2 and PM2.5 based on land use regression models: a case study of the Yangtze River Delta, China M. Liu et al. https://doi.org/10.1007/s10661-023-11637-4
47. Characterization of trace elements and Pb isotopes in PM2.5 and isotopic source identification during haze episodes in Seoul, Korea S. Lee et al. https://doi.org/10.1016/j.apr.2022.101442
48. Investigating uncertainties in air quality models used in GMAP/SIJAQ 2021 field campaign: General performance of different models and ensemble results Y. Cha et al. https://doi.org/10.1016/j.atmosenv.2024.120896
49. Exposure to ambient air pollution and the incidence of congestive heart failure and acute myocardial infarction: A population-based study of 5.1 million Canadian adults living in Ontario L. Bai et al. https://doi.org/10.1016/j.envint.2019.105004
50. Spatiotemporal variation of forest cover and its relation to air quality in urban Andean socio-ecological systems S. Bonilla-Bedoya et al. https://doi.org/10.1016/j.ufug.2021.127008
51. An alternative conception of PM10 concentration changes after short-term precipitation in urban environment T. Olszowski & Z. Ziembik https://doi.org/10.1016/j.jaerosci.2018.04.001
52. Application of the Lasso regularisation technique in mitigating overfitting in air quality prediction models A. Pak et al. https://doi.org/10.1038/s41598-024-84342-y
53. Use of a dense monitoring network of low-cost instruments to observe local changes in the diurnal ozone cycles as marine air passes over a geographically isolated urban centre L. Weissert et al. https://doi.org/10.1016/j.scitotenv.2016.09.229
54. A new approach for high-resolution spatiotemporal analysis of air pollutants at neighbourhood level O. Unsal et al. https://doi.org/10.1007/s11356-025-37378-0
55. Comparative Analysis of Long-Term Variation Characteristics of SO2, NO2, and O3 in the Ecological and Economic Zones of the Western Sichuan Plateau, Southwest China P. Zhao et al. https://doi.org/10.3390/ijerph16183265
56. Air Pollution Prediction in Mass Rallies With a New Temporally-Weighted Sample-Based Multitask Learner K. Gu et al. https://doi.org/10.1109/TIM.2022.3157365
57. Urban surface classification using semi-supervised domain adaptive deep learning models and its application in urban environment studies X. Ding et al. https://doi.org/10.1007/s11356-023-30843-8