96 citations as recorded by crossref.

1. Contribution of anthropogenic emission changes to the evolution of PM2.5 concentrations and composition in the Pearl River Delta during the period of 2006–2020 J. Zhang et al. 10.1016/j.atmosenv.2023.120228
2. Estimation of daily NO2 with explainable machine learning model in China, 2007–2020 Y. Shao et al. 10.1016/j.atmosenv.2023.120111
3. Tracking Daily Concentrations of PM2.5 Chemical Composition in China since 2000 S. Liu et al. 10.1021/acs.est.2c06510
4. Machine learning reveals the effects of drivers on PM2.5 and CO2 based on ensemble source apportionment method H. Xu et al. 10.1016/j.atmosres.2023.107019
5. Trends and Variability of Ozone Pollution over the Mountain-Basin Areas in Sichuan Province during 2013–2020: Synoptic Impacts and Formation Regimes Y. Chen et al. 10.3390/atmos12121557
6. Spatiotemporal continuous estimates of daily 1 km PM2.5 from 2000 to present under the Tracking Air Pollution in China (TAP) framework Q. Xiao et al. 10.5194/acp-22-13229-2022
7. Bridging the Data Gap: Enhancing the Spatiotemporal Accuracy of Hourly PM2.5 Concentration through the Fusion of Satellite-Derived Estimations and Station Observations W. Chu et al. 10.3390/rs15204973
8. Data augmentation for bias correction in mapping PM2.5 based on satellite retrievals and ground observations T. Mi et al. 10.1016/j.gsf.2023.101686
9. Outdoor air pollution enhanced the association between indoor air pollution exposure and hypertension in rural areas of eastern China G. Li et al. 10.1007/s11356-022-21127-8
10. A review of machine learning for modeling air quality: Overlooked but important issues D. Tang et al. 10.1016/j.atmosres.2024.107261
11. Synergy of multiple drivers leading to severe winter haze pollution in a megacity in Northeast China Y. Cheng et al. 10.1016/j.atmosres.2022.106075
12. Increasing Nonfossil Fuel Contributions to Atmospheric Nitrate in Urban China from Observation to Prediction M. Fan et al. 10.1021/acs.est.3c01651
13. Assessment of tropospheric ozone simulations in a regional chemical transport model using GEOS-Chem outputs as chemical boundary conditions Y. Zhu et al. 10.1016/j.scitotenv.2023.167485
14. Machine learning combined with the PMF model reveal the synergistic effects of sources and meteorological factors on PM2.5 pollution Z. Zhang et al. 10.1016/j.envres.2022.113322
15. Assessment of the effect of meteorological and emission variations on winter PM2.5 over the North China Plain in the three-year action plan against air pollution in 2018–2020 H. Du et al. 10.1016/j.atmosres.2022.106395
16. Association Between Long‐Term Exposure to Fine Particulate Matter Constituents and Progression of Cerebral Blood Flow Velocity in Beijing: Modifying Effect of Greenness Z. Xu et al. 10.1029/2023GH000796
17. A synchronized estimation of hourly surface concentrations of six criteria air pollutants with GEMS data Q. Yang et al. 10.1038/s41612-023-00407-1
18. Policy implications for synergistic management of PM2.5 and O3 pollution from a pattern-process-sustainability perspective in China S. Du et al. 10.1016/j.scitotenv.2024.170210
19. The Impact of COVID-19 Lockdown on Ambient Air Quality in Shanghai, 2022 Q. Zhang et al. 10.3390/atmos14050898
20. Leisure-time physical activity mitigated the cognitive effect of PM2.5 and PM2.5 components exposure: Evidence from a nationwide longitudinal study J. Liu et al. 10.1016/j.envint.2023.108143
21. The contribution of new particle formation and subsequent growth to haze formation M. Kulmala et al. 10.1039/D1EA00096A
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23. Current challenges in the visibility improvement of urban Chongqing in Southwest China: From the perspective of PM2.5-bound water uptake property over 2015–2021 Y. Hao et al. 10.1016/j.atmosres.2023.107215
24. Nonoptimum Temperatures Are More Closely Associated With Fatal Myocardial Infarction Than With Nonfatal Events P. Hu et al. 10.1016/j.cjca.2023.08.026
25. Long-term exposure to fine particulate matter modifies the association between physical activity and the risk of hypertension Y. Zhao et al. 10.1007/s11356-023-25256-6
26. How the Air Clean Plan and carbon mitigation measures co-benefited China in PM2.5 reduction and health from 2014 to 2020 Z. Wang et al. 10.1016/j.envint.2022.107510
27. New Insights Into Scavenging Effect of Aerosol Species During Summer Rainfall Process in Beijing Y. Li et al. 10.1029/2023JD038642
28. Assessing the causal effect of long-term exposure to air pollution on cognitive decline in middle-aged and older adults – Empirical evidence from a nationwide longitudinal cohort X. Wang et al. 10.1016/j.ecoenv.2023.114811
29. Meteorological and anthropogenic contributions to changes in the Aerosol Optical Depth (AOD) over China during the last decade G. de Leeuw et al. 10.1016/j.atmosenv.2023.119676
30. Estimating particulate matter concentrations and meteorological contributions in China during 2000–2020 S. Wang et al. 10.1016/j.chemosphere.2023.138742
31. Assessing the sensitivity of aerosol mass budget and effective radiative forcing to horizontal grid spacing in E3SMv1 using a regional refinement approach J. Li et al. 10.5194/gmd-17-1327-2024
32. Meteorological influences on PM2.5 variation in China using a hybrid model of machine learning and the Kolmogorov-Zurbenko filter S. Gao et al. 10.1016/j.apr.2023.101905
33. Spatiotemporally continuous estimates of daily 1-km PM2.5 concentrations and their long-term exposure in China from 2000 to 2020 Q. He et al. 10.1016/j.jenvman.2023.118145
34. The quasi-biweekly oscillation of eastern China PM2.5 in response to different Rossby wave trains over the Eurasian continent J. Liu et al. 10.1016/j.atmosres.2021.105990
35. 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
36. Effects of Air Pollution on Sunshine Duration Trends in Typical Chinese Cities W. Chong et al. 10.3390/atmos13060950
37. Changing PM2.5 and related meteorology over India from 1950–2014: a new perspective from a chemistry-climate model ensemble S. Hancock et al. 10.1088/2752-5295/acb22a
38. Impacts of COVID-19 on air quality in mid-eastern China: An insight into meteorology and emissions X. Zhao et al. 10.1016/j.atmosenv.2021.118750
39. Historical and future health burden attributable to PM2.5 exposure in China Y. Bai et al. 10.1016/j.atmosenv.2024.120363
40. Variations and possible causes of the December PM2.5 in Eastern China during 2000–2020 D. Bai et al. 10.3389/fenvs.2023.1134940
41. Measurement report: Nocturnal subsidence behind the cold front enhances surface particulate matter in plains regions: observations from the mobile multi-lidar system Y. Wang et al. 10.5194/acp-24-2267-2024
42. Does Air Pollution Impact Fiscal Sustainability? Evidence from Chinese Cities G. Gao et al. 10.3390/en14217247
43. Predicting gridded winter PM2.5concentration in the east of China Z. Yin et al. 10.5194/acp-22-11173-2022
44. Molecular compositions and sources of organic aerosols at a rural site on the Guanzhong Plain, Northwest China: The importance of biomass burning Y. Liu et al. 10.1016/j.partic.2023.10.014
45. Spatiotemporal variation and provincial scale differences of the AOD across China during 2000–2021 G. de Leeuw et al. 10.1016/j.apr.2022.101359
46. Long-term exposure to fine particulate matter constituents and cognitive impairment among older adults: An 18-year Chinese nationwide cohort study J. Qi et al. 10.1016/j.jhazmat.2024.133785
47. Combined effects of ambient air pollution and PM2.5 components on renal function and the potential mediation effects of metabolic risk factors in China F. Wen et al. 10.1016/j.ecoenv.2023.115039
48. Sources and influences of atmospheric nonpolar organic compounds in Nanchang, central China: Full-year monitoring with a focus on winter pollution episodes W. Guo et al. 10.1016/j.scitotenv.2023.169216
49. Association between residential greenness and obstructive sleep apnoea among adults in Southern China S. Wang et al. 10.1016/j.scitotenv.2022.158414
50. The causal links between long-term exposure to major PM2.5 components and the burden of tuberculosis in China S. Wang et al. 10.1016/j.scitotenv.2023.161745
51. Synoptic Weather Patterns and Atmospheric Circulation Types of PM2.5 Pollution Periods in the Beijing-Tianjin-Hebei Region S. Gu et al. 10.3390/atmos14060942
52. The effects of China’s poverty eradication program on sustainability and inequality Y. Pan et al. 10.1057/s41599-024-02631-3
53. Exploring the contributions of major emission sources to PM2.5 and attributable health burdens in China Y. Li et al. 10.1016/j.envpol.2023.121177
54. 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
55. Simulating daily PM2.5 concentrations using wavelet analysis and artificial neural network with remote sensing and surface observation data Q. Guo et al. 10.1016/j.chemosphere.2023.139886
56. The 2022 Summer record-breaking heatwave and health information-seeking behaviours: an infodemiology study in Mainland China Z. Li et al. 10.1136/bmjgh-2023-013231
57. Trend and Interannual Variations of Reactive Nitrogen Deposition in China During 2008–2017 and the Roles of Anthropogenic Emissions and Meteorological Conditions M. Ma et al. 10.1029/2022JD037489
58. Drivers of Increasing Ozone during the Two Phases of Clean Air Actions in China 2013–2020 Y. Liu et al. 10.1021/acs.est.3c00054
59. Spatiotemporal variations of PM2.5 pollution and its dynamic relationships with meteorological conditions in Beijing-Tianjin-Hebei region C. Deng et al. 10.1016/j.chemosphere.2022.134640
60. The 10‐ to 30‐Day Intraseasonal Weather Process Associated With Wintertime PM2.5 Pollution in Eastern China J. Liu et al. 10.1029/2023JD038884
61. Revealing Drivers of Haze Pollution by Explainable Machine Learning L. Hou et al. 10.1021/acs.estlett.1c00865
62. Tracking PM2.5 and O3 Pollution and the Related Health Burden in China 2013–2020 Q. Xiao et al. 10.1021/acs.est.1c04548
63. Meteorology impact on PM<sub>2.5</sub> change over a receptor region in the regional transport of air pollutants: observational study of recent emission reductions in central China X. Sun et al. 10.5194/acp-22-3579-2022
64. Identifying the impacts of warming anomalies in the Arctic region and the Tibetan Plateau on PM2.5 pollution and regional transport over China X. Sun et al. 10.1016/j.atmosres.2023.106966
65. Resolving contributions of NO2 and SO2 to PM2.5 and O3 pollutions in the North China Plain via multi-task learning M. Ma et al. 10.1117/1.JRS.18.012004
66. The mediation effect of asprosin on the association between ambient air pollution and diabetes mellitus in the elderly population in Taiyuan, China L. Song et al. 10.1007/s11356-024-32255-8
67. Evaluating the real changes of air quality due to clean air actions using a machine learning technique: Results from 12 Chinese mega-cities during 2013–2020 Y. Guo et al. 10.1016/j.chemosphere.2022.134608
68. Synergistic Effect of El Niño and Arctic Sea‐Ice Increment on Wintertime Northeast Asian Anomalous Anticyclone and Its Corresponding PM2.5 Pollution X. An et al. 10.1029/2022JD037840
69. Alcohol consumption, poor lifestyle choices, and air pollution worsen cognitive function in seniors: a cohort study in China L. Han & J. Jia 10.1007/s11356-021-17891-8
70. Trends in secondary inorganic aerosol pollution in China and its responses to emission controls of precursors in wintertime F. Meng et al. 10.5194/acp-22-6291-2022
71. A data-augmentation approach to deriving long-term surface SO2 across Northern China: Implications for interpretable machine learning S. Zhang et al. 10.1016/j.scitotenv.2022.154278
72. Short-term effects of fine particulate matter constituents on mortality considering the mortality displacement in Zhejiang province, China J. Fu et al. 10.1016/j.jhazmat.2023.131723
73. A comprehensive investigation of PM2.5 in the Huaihe River Basin, China: Separating the contributions from meteorology and emission reductions X. Liu et al. 10.1016/j.apr.2023.101647
74. Chemical composition and source apportionment of ambient PM2.5 in a coastal urban area, Northern Poland P. Siudek 10.1016/j.chemosphere.2024.141850
75. Compromised Improvement of Poor Visibility Due to PM Chemical Composition Changes in South Korea J. Jeong et al. 10.3390/rs14215310
76. Association of long-term exposure to air pollutant mixture and incident cardiovascular disease in a highly polluted region of China F. Wen et al. 10.1016/j.envpol.2023.121647
77. Multi-Year Variation of Ozone and Particulate Matter in Northeast China Based on the Tracking Air Pollution in China (TAP) Data H. Zhao et al. 10.3390/ijerph19073830
78. Effect of Vertical Wind Shear on PM2.5 Changes over a Receptor Region in Central China X. Sun et al. 10.3390/rs14143333
79. Decoupling impacts of weather conditions on interannual variations in concentrations of criteria air pollutants in South China – constraining analysis uncertainties by using multiple analysis tools Y. Lin et al. 10.5194/acp-22-16073-2022
80. Machine learning assesses drivers of PM2.5 air pollution trend in the Tibetan Plateau from 2015 to 2022 B. Zhang et al. 10.1016/j.scitotenv.2023.163189
81. Quantifying the impacts of emissions and meteorology on the interannual variations of air pollutants in major Chinese cities from 2015 to 2021 Q. Dai et al. 10.1007/s11430-022-1128-1
82. Multi-timescale variation characteristics of PM2.5 in different regions of China during 2014–2022 R. Liu et al. 10.1016/j.scitotenv.2024.171008
83. Changes in aerosol loading before, during and after the COVID-19 pandemic outbreak in China: Effects of anthropogenic and natural aerosol Y. Liang et al. 10.1016/j.scitotenv.2022.159435
84. Global synthesis of two decades of research on improving PM2.5 estimation models from remote sensing and data science perspectives K. Bai et al. 10.1016/j.earscirev.2023.104461
85. Health Burden and Driving Force Changes Due to Exposure to PM2.5 and O3 from 2014 to 2060 in a Typical Industrial Province, China C. Zhu et al. 10.3390/atmos14111672
86. Correlation between surface PM2.5 and O3 in eastern China during 2015–2019: Spatiotemporal variations and meteorological impacts L. Wang et al. 10.1016/j.atmosenv.2022.119520
87. Short-term effect of apparent temperature on daily hospitalizations for osteoporotic fractures in Beijing, China: A retrospective observational study S. Lu et al. 10.1016/j.scitotenv.2023.162583
88. Spatiotemporal patterns of surface ozone exposure inequality in China B. Li et al. 10.1007/s10661-024-12426-3
89. Observed coupling between air mass history, secondary growth of nucleation mode particles and aerosol pollution levels in Beijing S. Hakala et al. 10.1039/D1EA00089F
90. Response of Harbin aerosol to latest clean air actions in China Y. Cheng et al. 10.1016/j.jhazmat.2024.133728
91. The mediation effect of lipids, blood pressure and BMI between air pollutant mixture and atherosclerotic cardiovascular disease: The CHCN-BTH cohort study B. Li et al. 10.1016/j.ecoenv.2023.115491
92. A review of the technology and applications of methods for evaluating the transport of air pollutants X. Wang et al. 10.1016/j.jes.2022.06.022
93. Probing into the radiative mechanisms and drivers influencing urban heat-cold islands and urban pollution islands during heavy-haze events in a cold megacity of Northeast China S. Yabo et al. 10.1016/j.atmosres.2024.107259
94. Ambient ozone exposure and depression among middle-aged and older adults: Nationwide longitudinal evidence in China Y. Yuan et al. 10.1016/j.ijheh.2023.114185
95. Tracking Air Pollution in China: Near Real-Time PM2.5 Retrievals from Multisource Data Fusion G. Geng et al. 10.1021/acs.est.1c01863
96. Impact of Meteorological Conditions and Human Activities on Air Quality During the COVID-19 Lockdown in Northeast China T. Wang et al. 10.3389/fenvs.2022.877268