125 citations as recorded by crossref.

1. Estimation of daily NO2 with explainable machine learning model in China, 2007–2020 Y. Shao et al. 10.1016/j.atmosenv.2023.120111
2. Tracking Daily Concentrations of PM2.5 Chemical Composition in China since 2000 S. Liu et al. 10.1021/acs.est.2c06510
3. 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
4. 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
5. 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
6. 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
7. Hazard Susceptibility Mapping with Machine and Deep Learning: A Literature Review A. Pugliese Viloria et al. 10.3390/rs16183374
8. 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
9. Air pollution exposure, chemical compositions, and risk of expiratory airflow limitation in youth in Northeast China J. Gao et al. 10.1016/j.ecoenv.2024.117055
10. Ecological analysis of air particulate matter exposure and depression among adolescents in developing regions of Hubei, China J. Chen et al. 10.1016/j.jpsychires.2024.11.052
11. The impact of Chinese new year on air quality in north China based on machine learning Y. Ren et al. 10.1016/j.atmosenv.2024.120874
12. 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
13. 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
14. 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
15. 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
16. 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
17. The Impact of COVID-19 Lockdown on Ambient Air Quality in Shanghai, 2022 Q. Zhang et al. 10.3390/atmos14050898
18. 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
19. The contribution of new particle formation and subsequent growth to haze formation M. Kulmala et al. 10.1039/D1EA00096A
20. 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
21. 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
22. 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
23. Study on visibility forecast optimization based on aerosol- meteorological feedbacks in wet conditions X. Zhang et al. 10.1016/j.uclim.2024.101951
24. 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
25. 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
26. 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
27. Effects of Air Pollution on Sunshine Duration Trends in Typical Chinese Cities W. Chong et al. 10.3390/atmos13060950
28. 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
29. 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
30. Variations and possible causes of the December PM2.5 in Eastern China during 2000–2020 D. Bai et al. 10.3389/fenvs.2023.1134940
31. Predicting gridded winter PM2.5concentration in the east of China Z. Yin et al. 10.5194/acp-22-11173-2022
32. 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
33. 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
34. 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
35. 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
36. 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
37. 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
38. 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
39. The effects of China’s poverty eradication program on sustainability and inequality Y. Pan et al. 10.1057/s41599-024-02631-3
40. 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
41. The importance and challenges of air pollution control W. Gongjun et al. 10.1051/e3sconf/202452002003
42. Ecology of Airborne Microorganisms: Understanding the Impact of Haze and Sandstorms on Bacterial Community Structure and Pathogenicity J. Ma et al. 10.1021/acsestair.4c00122
43. Fine particulate matter and ozone variability with regional and local meteorology in Beijing, China S. Guha et al. 10.1016/j.atmosenv.2024.120793
44. Elevated serum uric acid levels mediate the associations of ambient PM2.5 and its components with glaucoma X. Li et al. 10.1016/j.chemosphere.2024.143882
45. 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
46. The 10‐ to 30‐Day Intraseasonal Weather Process Associated With Wintertime PM2.5 Pollution in Eastern China J. Liu et al. 10.1029/2023JD038884
47. Extracting regional and temporal features to improve machine learning for hourly air pollutants in urban India S. Wang et al. 10.1016/j.atmosenv.2024.120834
48. Revealing Drivers of Haze Pollution by Explainable Machine Learning L. Hou et al. 10.1021/acs.estlett.1c00865
49. 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
50. Sex differences and dietary patterns in the association of air pollutants and hypertension C. Zhang et al. 10.1186/s12889-024-18620-9
51. Deriving PM2.5 from satellite observations with spatiotemporally weighted tree-based algorithms: enhancing modeling accuracy and interpretability T. Li et al. 10.1038/s41612-024-00692-4
52. Spatial-Temporal Characteristics of Winter Extreme Pollution Events in Beijing-Tianjin-Hebei Region and the Effects of Quasi-Circumglobal Teleconnection Anomalous Circulation 佳. 孙 10.12677/ccrl.2024.134118
53. 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
54. Diagnosing drivers of PM2.5 simulation biases in China from meteorology, chemical composition, and emission sources using an efficient machine learning method S. Wang et al. 10.5194/gmd-17-3617-2024
55. 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
56. Chemical composition and source apportionment of ambient PM2.5 in a coastal urban area, Northern Poland P. Siudek 10.1016/j.chemosphere.2024.141850
57. Efficacy of China’s clean air actions to tackle PM2.5 pollution between 2013 and 2020 G. Geng et al. 10.1038/s41561-024-01540-z
58. Compromised Improvement of Poor Visibility Due to PM Chemical Composition Changes in South Korea J. Jeong et al. 10.3390/rs14215310
59. 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
60. Effect of Vertical Wind Shear on PM2.5 Changes over a Receptor Region in Central China X. Sun et al. 10.3390/rs14143333
61. 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
62. 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
63. Accuracy assessment on eight public PM2.5 concentration datasets across China Y. Di et al. 10.1016/j.atmosenv.2024.120799
64. Impact of urban space on PM2.5 distribution: A multiscale and seasonal study in the Yangtze River Delta urban agglomeration J. Zhang et al. 10.1016/j.jenvman.2024.121287
65. Warming of mid-latitude North Atlantic Sea surface temperature strengthens the daily variability of winter PM2.5 in eastern China S. Zhang et al. 10.1088/1748-9326/ad6a28
66. Development of a data-driven three-dimensional PM2.5 forecast model based on machine learning algorithms Z. Han et al. 10.1016/j.eti.2024.103930
67. 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
68. 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
69. Spatiotemporal patterns of surface ozone exposure inequality in China B. Li et al. 10.1007/s10661-024-12426-3
70. 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
71. 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
72. Tracking Air Pollution in China: Near Real-Time PM2.5 Retrievals from Multisource Data Fusion G. Geng et al. 10.1021/acs.est.1c01863
73. 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
74. 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
75. A review of machine learning for modeling air quality: Overlooked but important issues D. Tang et al. 10.1016/j.atmosres.2024.107261
76. 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
77. Increasing Nonfossil Fuel Contributions to Atmospheric Nitrate in Urban China from Observation to Prediction M. Fan et al. 10.1021/acs.est.3c01651
78. 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
79. 污染减排与气象因素对我国主要城市2015~2021年环境空气质量变化的贡献评估 启. 戴 et al. 10.1360/SSTe-2022-0271
80. 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
81. 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
82. New Insights Into Scavenging Effect of Aerosol Species During Summer Rainfall Process in Beijing Y. Li et al. 10.1029/2023JD038642
83. The association between ambient PM2.5's constituents exposure and cervical cancer survival C. Liu et al. 10.1016/j.envres.2024.119928
84. Exploring the sources of light-absorbing carbonaceous aerosols by integrating observational and modeling results: insights from Northeast China Y. Cheng et al. 10.5194/acp-24-9869-2024
85. Estimating particulate matter concentrations and meteorological contributions in China during 2000–2020 S. Wang et al. 10.1016/j.chemosphere.2023.138742
86. 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
87. Short-term exposures to PM2.5, PM2.5 chemical components, and antenatal depression: Exploring the mediating roles of gut microbiota and fecal short-chain fatty acids T. Qiu et al. 10.1016/j.ecoenv.2024.116398
88. 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
89. 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
90. Historical and future health burden attributable to PM2.5 exposure in China Y. Bai et al. 10.1016/j.atmosenv.2024.120363
91. 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
92. Does Air Pollution Impact Fiscal Sustainability? Evidence from Chinese Cities G. Gao et al. 10.3390/en14217247
93. Exploring the nexus of urban form, transport, environment and health in large-scale urban studies: A state-of-the-art scoping review G. Dyer et al. 10.1016/j.envres.2024.119324
94. Identifying Key Sources for Air Pollution and CO2 Emission Co-control in China Y. Zheng et al. 10.1021/acs.est.4c03299
95. Association between residential greenness and obstructive sleep apnoea among adults in Southern China S. Wang et al. 10.1016/j.scitotenv.2022.158414
96. Observed Effects on Very Early Pregnancy Linked to Ambient PM2.5 Exposure in China among Women Undergoing In Vitro Fertilization-Embryo Transfer C. Lan et al. 10.1021/envhealth.4c00107
97. Association between fine particulate matter and fecundability in Henan, China: A prospective cohort study R. Zhang et al. 10.1016/j.envint.2024.108754
98. 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
99. 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
100. 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
101. 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
102. 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
103. Influences of synoptic circulations on regional transport, local accumulation and chemical transformation for PM2.5 heavy pollution over Twain-Hu Basin, central China J. Yao et al. 10.1016/j.jes.2024.06.007
104. Evaluating emissions and meteorological contributions to air quality trends in northern China based on measurements at a regional background station W. Pu et al. 10.1039/D4EA00070F
105. Tracking PM2.5 and O3 Pollution and the Related Health Burden in China 2013–2020 Q. Xiao et al. 10.1021/acs.est.1c04548
106. 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
107. 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
108. 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
109. 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
110. 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
111. 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
112. 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
113. 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
114. 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
115. 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
116. 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
117. 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
118. 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
119. Revealing air quality impacts of the clean heating campaign in northern China Y. He et al. 10.1016/j.eneco.2024.108078
120. 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
121. 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
122. Response of Harbin aerosol to latest clean air actions in China Y. Cheng et al. 10.1016/j.jhazmat.2024.133728
123. 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
124. 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
125. 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