96 citations as recorded by crossref.

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27. Statistically Analyzed Effects of Coal-Fired Power Plants in West Coast on the Surface Air Pollutants over Seoul Metropolitan Area J. Ju & D. Youn 10.5467/JKESS.2019.40.6.549
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29. Determination of Input variables for Artificial Intelligence Models to predict the High PM2.5 concentration events in Seoul, Korea S. Kim & M. Park 10.1007/s13143-023-00333-5
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35. Impact of Meteorological Changes on Particulate Matter and Aerosol Optical Depth in Seoul during the Months of June over Recent Decades S. Yang et al. 10.3390/atmos11121282
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40. Multi-Model Evaluation of Meteorological Drivers, Air Pollutants and Quantification of Emission Sources over the Upper Brahmaputra Basin A. Saikia et al. 10.3390/atmos10110703
41. Airborne formaldehyde and volatile organic compound measurements over the Daesan petrochemical complex on Korea’s northwest coast during the Korea-United States Air Quality study A. Fried et al. 10.1525/elementa.2020.121
42. Climate Change Penalty to Ozone Air Quality: Review of Current Understandings and Knowledge Gaps T. Fu & H. Tian 10.1007/s40726-019-00115-6
43. Were traffic restrictions in Madrid effective at reducing NO2 levels? R. Salas et al. 10.1016/j.trd.2020.102689
44. Quantifying changes in ambient NOx, O3 and PM10 concentrations in Austria during the COVID-19 related lockdown in spring 2020 C. Staehle et al. 10.1007/s11869-022-01232-w
45. Achievements and challenges in improving air quality in China: Analysis of the long-term trends from 2014 to 2022 H. Zheng et al. 10.1016/j.envint.2023.108361
46. A 5.5-year observations of black carbon aerosol at a megacity in Central China: Levels, sources, and variation trends H. Zheng et al. 10.1016/j.atmosenv.2020.117581
47. Quantitative impacts of meteorology and emissions on the long-term trend of O3 in the Yangtze River Delta (YRD), China from 2015 to 2022 L. Wu & J. An 10.1016/j.jes.2024.01.038
48. The influence of atmospheric blocking on regional PM10 aerosol transport to South Korea during February–March of 2019 J. Cho et al. 10.1016/j.atmosenv.2022.119056
49. Evidence of haze-driven secondary production of supermicrometer aerosol nitrate and sulfate in size distribution data in South Korea J. Schlosser et al. 10.5194/acp-22-7505-2022
50. 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. 10.3390/su15118599
51. Urban meteorology and air quality in a rapidly growing city: Inter-parameter associations and intra-urban heterogeneity G. Ulpiani et al. 10.1016/j.scs.2021.103553
52. Using observed urban NOx sinks to constrain VOC reactivity and the ozone and radical budget in the Seoul Metropolitan Area B. Nault et al. 10.5194/acp-24-9573-2024
53. Impact assessment of Beirut explosion on local and regional air quality P. Broomandi et al. 10.1007/s11869-021-01066-y
54. Observation-based modeling of ozone chemistry in the Seoul metropolitan area during the Korea-United States Air Quality Study (KORUS-AQ) J. Schroeder et al. 10.1525/elementa.400
55. Variations in major aerosol components from long-term measurement of columnar aerosol optical properties at a SKYNET site downwind of Seoul, Korea Y. Choi & Y. Ghim 10.1016/j.atmosenv.2020.117991
56. Role of emissions and meteorology in the recent PM2.5 changes in China and South Korea from 2015 to 2018 M. Bae et al. 10.1016/j.envpol.2020.116233
57. Box Model Applications for Atmospheric Chemistry Research: Photochemical Reactions and Ozone Formation S. Park 10.5572/KOSAE.2023.39.5.627
58. Ground-level ozone over time: An observation-based global overview P. Sicard 10.1016/j.coesh.2020.100226
59. An intercomparison of weather normalization of PM2.5 concentration using traditional statistical methods, machine learning, and chemistry transport models H. Zheng et al. 10.1038/s41612-023-00536-7
60. Characterizing the emission trends and pollution evolution patterns during the transition period following COVID-19 at an industrial megacity of central China Y. Li et al. 10.1016/j.ecoenv.2024.116354
61. Impact of North Atlantic-East Asian teleconnections on extremely high January PM10 cases in Korea J. Kim et al. 10.1016/j.envpol.2021.118051
62. Using machine learning to quantify drivers of aerosol pollution trend in China from 2015 to 2022 Y. Ji et al. 10.1016/j.apgeochem.2023.105614
63. Identification of Pollution Characteristics of PM2.5 Using a Geographic Information System and Statistical Tools: A Case Study of the Southeastern and Southern Regions of South Korea J. Ju et al. 10.5572/KOSAE.2023.39.4.478
64. Long-Term Variations and Relationships between Urban Heat Island and Air Pollutants in Seoul over the Past 20 Years J. Kim et al. 10.5572/KOSAE.2024.40.2.209
65. Quantifying the Impact of Synoptic Weather Systems on High PM2.5 Episodes in the Seoul Metropolitan Area, Korea L. Chang et al. 10.1029/2020JD034085
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68. The State of the Air Quality and Measures for Improving it in North Korea M. Yeo & Y. Kim 10.5572/kosae.2019.35.3.318
69. Simulation of surface ozone over Hebei province, China using Kolmogorov-Zurbenko and artificial neural network (KZ-ANN) combined model S. Gao et al. 10.1016/j.atmosenv.2021.118599
70. Assessing Spatial Heterogeneity of Factor Interactions on PM2.5 Concentrations in Chinese Cities Y. Jin et al. 10.3390/rs13245079
71. Ambient Air Monitoring System With Adaptive Performance Stability R. Purbakawaca et al. 10.1109/ACCESS.2022.3222329
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74. Urban Air Quality Assessment by Fusing Spatial and Temporal Data from Multiple Study Sources Using Refined Estimation Methods L. Chen et al. 10.3390/ijgi11060330
75. Seasonal analysis of meteorological parameters and air pollutant concentrations in Kolkata: An evaluation of their relationship N. Maltare et al. 10.1016/j.jclepro.2023.140514
76. PM10 aerosol enhancement in the anticyclonic anomalies caused by the East Asian spring warming of 2021 J. Cho & H. Kim 10.1016/j.atmosres.2022.106496
77. Air regulation service is affected by green areas cover and fragmentation: An analysis using demand, supply and flow during COVID-19 quarantine N. Andrea Pimiento-Quiroga et al. 10.1016/j.landurbplan.2024.105230
78. A visibility-based estimation of PM2.5 concentrations in Pyongyang, North Korea: Current status and long-term trends J. Seo et al. 10.1016/j.jclepro.2023.136007
79. Analysis of the meteorological impact on PM2.5 pollution in Changchun based on KZ filter and WRF-CMAQ C. Fang et al. 10.1016/j.atmosenv.2021.118924
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84. Investigating the association between air pollutants’ concentration and meteorological parameters in a rapidly growing urban center of West Bengal, India: a statistical modeling-based approach A. Bose & I. Roy Chowdhury 10.1007/s40808-022-01670-6
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