145 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. Air pollution deterioration prior to dissipation induced by complex topography: A case study in the Sichuan Basin, southwestern China Y. Liu et al. 10.1016/j.atmosres.2025.108071
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. Environmental and health benefits of clean winter heating policies in northern China Q. Weng et al. 10.1016/j.jenvman.2025.125388
11. 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
12. 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
13. 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
14. Machine learning-based generation of high-resolution 3D full-coverage aerosol distribution data over China using multisource data W. Li et al. 10.1016/j.rse.2025.114772
15. 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
16. 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
17. 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
18. 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
19. 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
20. The Impact of COVID-19 Lockdown on Ambient Air Quality in Shanghai, 2022 Q. Zhang et al. 10.3390/atmos14050898
21. 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
22. The contribution of new particle formation and subsequent growth to haze formation M. Kulmala et al. 10.1039/D1EA00096A
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. 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
26. Study on visibility forecast optimization based on aerosol- meteorological feedbacks in wet conditions X. Zhang et al. 10.1016/j.uclim.2024.101951
27. 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
28. PM2.5 Concentration Gap Reduction between Typical Urban and Nonurban China from 2000 to 2023 L. Guo et al. 10.1021/acsestair.4c00208
29. Air Toxicity Surveillance across Thirteen Cities Using Rats C. Zhu et al. 10.1021/acs.est.5c01250
30. 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
31. 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
32. Effects of Air Pollution on Sunshine Duration Trends in Typical Chinese Cities W. Chong et al. 10.3390/atmos13060950
33. 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
34. 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
35. Variations and possible causes of the December PM2.5 in Eastern China during 2000–2020 D. Bai et al. 10.3389/fenvs.2023.1134940
36. Predicting gridded winter PM2.5 concentration in the east of China Z. Yin et al. 10.5194/acp-22-11173-2022
37. 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
38. 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
39. 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
40. 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
41. 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
42. 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
43. 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
44. The effects of China’s poverty eradication program on sustainability and inequality Y. Pan et al. 10.1057/s41599-024-02631-3
45. Quantifying role of source variations on PM2.5-bound toxic components under climate change: Measurement at multiple sites during 2018–2022 in a Chinese megacity X. Feng et al. 10.1016/j.jhazmat.2025.138584
46. 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
47. The importance and challenges of air pollution control W. Gongjun et al. 10.1051/e3sconf/202452002003
48. 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
49. Fine particulate matter and ozone variability with regional and local meteorology in Beijing, China S. Guha et al. 10.1016/j.atmosenv.2024.120793
50. 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
51. 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
52. Associations of long-term exposure to PM2.5 and its constituents with children renal function: a national retrospective study in China S. Yu et al. 10.1016/j.envres.2025.121607
53. The 10‐ to 30‐Day Intraseasonal Weather Process Associated With Wintertime PM2.5 Pollution in Eastern China J. Liu et al. 10.1029/2023JD038884
54. 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
55. Revealing Drivers of Haze Pollution by Explainable Machine Learning L. Hou et al. 10.1021/acs.estlett.1c00865
56. 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
57. Sex differences and dietary patterns in the association of air pollutants and hypertension C. Zhang et al. 10.1186/s12889-024-18620-9
58. 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
59. 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
60. 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
61. 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
62. Driving Factors of PM2.5 Pollution Rebound in North China Plain in Early 2023 Q. Song et al. 10.1021/acs.estlett.4c01153
63. 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
64. Chemical composition and source apportionment of ambient PM2.5 in a coastal urban area, Northern Poland P. Siudek 10.1016/j.chemosphere.2024.141850
65. 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
66. Compromised Improvement of Poor Visibility Due to PM Chemical Composition Changes in South Korea J. Jeong et al. 10.3390/rs14215310
67. 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
68. Effect of Vertical Wind Shear on PM2.5 Changes over a Receptor Region in Central China X. Sun et al. 10.3390/rs14143333
69. 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
70. 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
71. Accuracy assessment on eight public PM2.5 concentration datasets across China Y. Di et al. 10.1016/j.atmosenv.2024.120799
72. 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
73. 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
74. 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
75. 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
76. 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
77. Spatiotemporal patterns of surface ozone exposure inequality in China B. Li et al. 10.1007/s10661-024-12426-3
78. Machine learning-based quantification and separation of emissions and meteorological effects on PM2.5 in Greater Bangkok N. Aman et al. 10.1038/s41598-025-99094-6
79. 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
80. 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
81. Tracking Air Pollution in China: Near Real-Time PM2.5 Retrievals from Multisource Data Fusion G. Geng et al. 10.1021/acs.est.1c01863
82. Towards compliance with the 2021 WHO air quality guidelines: A comparative analysis of PM2.5 trends in australia and china X. Ma et al. 10.1016/j.envint.2025.109378
83. Revealing sources for synergistic control of PM2.5, O3, and CO2 in China: Based on social costs of air pollution and climate impact H. Wang et al. 10.1016/j.jenvman.2024.123964
84. 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
85. 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
86. A review of machine learning for modeling air quality: Overlooked but important issues D. Tang et al. 10.1016/j.atmosres.2024.107261
87. 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
88. Increasing Nonfossil Fuel Contributions to Atmospheric Nitrate in Urban China from Observation to Prediction M. Fan et al. 10.1021/acs.est.3c01651
89. Early-life famine exposure may modify the association between long-term temperature variability and cardio-cerebrovascular diseases: a nationwide study Y. Wu et al. 10.1088/2752-5309/ad6028
90. 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
91. Interaction effects of exposure to air pollution and social activities on cognitive function in middle-aged and older Chinese adults based on a nationwide cohort study S. Yuan et al. 10.1186/s12889-024-21107-2
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95. New Insights Into Scavenging Effect of Aerosol Species During Summer Rainfall Process in Beijing Y. Li et al. 10.1029/2023JD038642
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98. Estimating particulate matter concentrations and meteorological contributions in China during 2000–2020 S. Wang et al. 10.1016/j.chemosphere.2023.138742
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105. Does Air Pollution Impact Fiscal Sustainability? Evidence from Chinese Cities G. Gao et al. 10.3390/en14217247
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114. 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
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119. Tracking PM2.5 and O3 Pollution and the Related Health Burden in China 2013–2020 Q. Xiao et al. 10.1021/acs.est.1c04548
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123. 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
124. 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
125. 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
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136. Short-term effect of sunshine duration on daily emergency visits for hip fractures in Beijing, China: a time-series study J. Chen et al. 10.1007/s11657-024-01483-3
137. Revealing air quality impacts of the clean heating campaign in northern China Y. He et al. 10.1016/j.eneco.2024.108078
138. 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
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142. 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
143. Data Augmentation Strategies for Improved PM2.5 Forecasting Using Transformer Architectures P. Pan et al. 10.3390/atmos16020127
144. Adaptive high-resolution mapping of air pollution with a novel implicit 3D representation approach T. Zhang et al. 10.1038/s41612-025-01044-6
145. 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