97 citations as recorded by crossref.

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2. Environmental regulation and synergistic effects of PM2.5 control in China X. Li et al. 10.1016/j.jclepro.2022.130438
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4. Do socioeconomic factors modify the effects of PM1 and SO2 on lung cancer incidence in China? H. Guo et al. 10.1016/j.scitotenv.2020.143998
5. Retrieving PM2.5 with high spatio-temporal coverage by TOA reflectance of Himawari-8 J. Yin et al. 10.1016/j.apr.2021.02.007
6. Validation and Calibration of CAMS PM2.5 Forecasts Using In Situ PM2.5 Measurements in China and United States C. Wu et al. 10.3390/rs12223813
7. Fall of oxidized while rise of reduced reactive nitrogen deposition in China L. Liu et al. 10.1016/j.jclepro.2020.122875
8. The rationality of PM2.5 monitoring sites’ locations based on exposure level across eastern China C. Yan et al. 10.1088/2515-7620/ac4641
9. The Urban–Rural Heterogeneity of Air Pollution in 35 Metropolitan Regions across China W. Han et al. 10.3390/rs12142320
10. Space-Time Machine Learning Models to Analyze COVID-19 Pandemic Lockdown Effects on Aerosol Optical Depth over Europe S. Ibrahim et al. 10.3390/rs13153027
11. Estimating daily high-resolution PM2.5 concentrations over Texas: Machine Learning approach M. Ghahremanloo et al. 10.1016/j.atmosenv.2021.118209
12. Changes in Air Pollution Following the COVID-19 Epidemic in Northern China: The Role of Meteorology T. Xian et al. 10.3389/fenvs.2021.654651
13. Estimation of all-sky 1 km land surface temperature over the conterminous United States B. Li et al. 10.1016/j.rse.2021.112707
14. Surface Brightening in Eastern and Central China Since the Implementation of the Clean Air Action in 2013: Causes and Implications H. Shi et al. 10.1029/2020GL091105
15. Ground PM2.5 prediction using imputed MAIAC AOD with uncertainty quantification Q. Pu & E. Yoo 10.1016/j.envpol.2021.116574
16. Estimating PM2.5 concentrations via random forest method using satellite, auxiliary, and ground-level station dataset at multiple temporal scales across China in 2017 B. Guo et al. 10.1016/j.scitotenv.2021.146288
17. A homogenized daily in situ PM<sub>2.5</sub> concentration dataset from the national air quality monitoring network in China K. Bai et al. 10.5194/essd-12-3067-2020
18. Season, not lockdown, improved air quality during COVID-19 State of Emergency in Nigeria T. Etchie et al. 10.1016/j.scitotenv.2021.145187
19. Association of long-term exposure to ambient air pollutants with blood lipids in Chinese adults: The China Multi-Ethnic Cohort study L. Wang et al. 10.1016/j.envres.2021.111174
20. A critical review of the variation in rainwater acidity in 24 Chinese cities during 1982–2018 R. Qu & G. Han 10.1525/elementa.2021.00142
21. Dietary Pattern and Long-Term Effects of Particulate Matter on Blood Pressure: A Large Cross-Sectional Study in Chinese Adults H. Xu et al. 10.1161/HYPERTENSIONAHA.121.17205
22. Mapping Rice Paddy Based on Machine Learning with Sentinel-2 Multi-Temporal Data: Model Comparison and Transferability W. Zhang et al. 10.3390/rs12101620
23. Global estimation of clear-sky shortwave aerosol direct radiative effects based on CALIPSO observations Z. Shi et al. 10.1080/01431161.2022.2045042
24. A model framework to reduce bias in ground-level PM2.5 concentrations inferred from satellite-retrieved AOD F. Yao & P. Palmer 10.1016/j.atmosenv.2021.118217
25. Association Between Ambient Air Pollutants Exposure and Preterm Birth in Women Who Underwent in vitro Fertilization: A Retrospective Cohort Study From Hangzhou, China W. Shi et al. 10.3389/fmed.2021.785600
26. An Evaluation of Eight Machine Learning Regression Algorithms for Forest Aboveground Biomass Estimation from Multiple Satellite Data Products Y. Zhang et al. 10.3390/rs12244015
27. Extending the EOS Long-Term PM2.5 Data Records Since 2013 in China: Application to the VIIRS Deep Blue Aerosol Products J. Wei et al. 10.1109/TGRS.2021.3050999
28. Substantial health benefits of strengthening guidelines on indoor fine particulate matter in China Y. Xie et al. 10.1016/j.envint.2022.107082
29. Ammonia volatilization as the major nitrogen loss pathway in dryland agro-ecosystems L. Liu et al. 10.1016/j.envpol.2020.114862
30. The Association Between Long-term Exposure to Ambient Air Pollution and Bone Strength in China J. Wu et al. 10.1210/clinem/dgab462
31. Spatiotemporal PM2.5 variations and its response to the industrial structure from 2000 to 2018 in the Beijing-Tianjin-Hebei region W. Xue et al. 10.1016/j.jclepro.2020.123742
32. Climatic modification effects on the association between PM1 and lung cancer incidence in China H. Guo et al. 10.1186/s12889-021-10912-8
33. Long-term exposure to ambient NO2 and adult mortality: A nationwide cohort study in China Y. Zhang et al. 10.1016/j.jare.2022.02.007
34. Full-coverage 1 km daily ambient PM<sub>2.5</sub> and O<sub>3</sub> concentrations of China in 2005–2017 based on a multi-variable random forest model R. Ma et al. 10.5194/essd-14-943-2022
35. New interpretable deep learning model to monitor real-time PM2.5 concentrations from satellite data X. Yan et al. 10.1016/j.envint.2020.106060
36. An improved dark target method for aerosol optical depth retrieval over China from Himawari-8 L. Gao et al. 10.1016/j.atmosres.2020.105399
37. Early-life exposure to submicron particulate air pollution in relation to asthma development in Chinese preschool children Y. Zhang et al. 10.1016/j.jaci.2021.02.030
38. Using multivariate adaptive regression splines and extremely randomized trees algorithms to predict dust events frequency around an international wetland and prioritize its drivers Z. Ebrahimi-Khusfi et al. 10.1007/s10661-021-09198-5
39. Ambient Ozone, PM1 and Female Lung Cancer Incidence in 436 Chinese Counties H. Guo et al. 10.3390/ijerph181910386
40. Constructing a spatiotemporally coherent long-term PM2.5 concentration dataset over China during 1980–2019 using a machine learning approach H. Li et al. 10.1016/j.scitotenv.2020.144263
41. Geographical and temporal encoding for improving the estimation of PM2.5 concentrations in China using end-to-end gradient boosting N. Yang et al. 10.1016/j.rse.2021.112828
42. Global and Regional Variations and Main Drivers of Aerosol Loadings over Land during 1980–2018 J. Sun et al. 10.3390/rs14040859
43. Rainwater chemistry observation in a karst city: variations, influence factors, sources and potential environmental effects J. Zeng & G. Han 10.7717/peerj.11167
44. Near-real-time estimation of hourly open biomass burning emissions in China using multiple satellite retrievals Y. Xu et al. 10.1016/j.scitotenv.2021.152777
45. Separating emission and meteorological contributions to long-term PM<sub>2.5</sub> trends over eastern China during 2000–2018 Q. Xiao et al. 10.5194/acp-21-9475-2021
46. Associations of particulate matter with dementia and mild cognitive impairment in China: A multicenter cross-sectional study J. Tan et al. 10.1016/j.xinn.2021.100147
47. Characteristics of Pre-summer Daytime Cloud Regimes over Coastal South China from the Himawari-8 Satellite M. Li et al. 10.1007/s00376-021-1148-1
48. Reconstructing 1-km-resolution high-quality PM2.5 data records from 2000 to 2018 in China: spatiotemporal variations and policy implications J. Wei et al. 10.1016/j.rse.2020.112136
49. Tracking Air Pollution in China: Near Real-Time PM2.5 Retrievals from Multisource Data Fusion G. Geng et al. 10.1021/acs.est.1c01863
50. Identifying the spatiotemporal dynamic of PM2.5 concentrations at multiple scales using geographically and temporally weighted regression model across China during 2015–2018 B. Guo et al. 10.1016/j.scitotenv.2020.141765
51. Effect modification of greenness on PM2.5 associated all-cause mortality in a multidrug-resistant tuberculosis cohort E. Ge et al. 10.1136/thoraxjnl-2020-216819
52. Estimating Socio-Economic Parameters via Machine Learning Methods Using Luojia1-01 Nighttime Light Remotely Sensed Images at Multiple Scales of China in 2018 B. Guo et al. 10.1109/ACCESS.2021.3059865
53. Spatiotemporal relationship between Himawari-8 hourly columnar aerosol optical depth (AOD) and ground-level PM2.5 mass concentration in mainland China Q. Xu et al. 10.1016/j.scitotenv.2020.144241
54. Satellite-Based Mapping of High-Resolution Ground-Level PM2.5 with VIIRS IP AOD in China through Spatially Neural Network Weighted Regression Y. Chen et al. 10.3390/rs13101979
55. An interpretable self-adaptive deep neural network for estimating daily spatially-continuous PM2.5 concentrations across China B. Chen et al. 10.1016/j.scitotenv.2020.144724
56. Effects of using different exposure data to estimate changes in premature mortality attributable to PM2.5 and O3 in China C. Wang et al. 10.1016/j.envpol.2021.117242
57. Estimation of PM2.5 Mass Concentrations in Beijing–Tianjin–Hebei Region Based on Geographically Weighted Regression and Spatial Downscaling Method L. Zhang & J. Pan 10.1007/s12524-020-01193-6
58. Machine learning-based estimation of ground-level NO2 concentrations over China Y. Chi et al. 10.1016/j.scitotenv.2021.150721
59. MODIS Collection 6.1 3 km resolution aerosol optical depth product: global evaluation and uncertainty analysis J. Wei et al. 10.1016/j.atmosenv.2020.117768
60. Evaluation of gap-filling approaches in satellite-based daily PM2.5 prediction models Q. Xiao et al. 10.1016/j.atmosenv.2020.117921
61. A review of statistical methods used for developing large-scale and long-term PM2.5 models from satellite data Z. Ma et al. 10.1016/j.rse.2021.112827
62. Multiscale and multisource data fusion for full-coverage PM2.5 concentration mapping: Can spatial pattern recognition come with modeling accuracy? K. Bai et al. 10.1016/j.isprsjprs.2021.12.002
63. Handling Missing Data in Large-Scale MODIS AOD Products Using a Two-Step Model Y. Chi et al. 10.3390/rs12223786
64. Inferring Near-Surface PM2.5 Concentrations from the VIIRS Deep Blue Aerosol Product in China: A Spatiotemporally Weighted Random Forest Model W. Xue et al. 10.3390/rs13030505
65. Satellite-based ground PM2.5 estimation using a gradient boosting decision tree T. Zhang et al. 10.1016/j.chemosphere.2020.128801
66. The ChinaHighPM10 dataset: generation, validation, and spatiotemporal variations from 2015 to 2019 across China J. Wei et al. 10.1016/j.envint.2020.106290
67. A comprehensive framework for assessing the impact of potential agricultural pollution on grain security and human health in economically developed areas Y. Jiang et al. 10.1016/j.envpol.2020.114653
68. MERRA-2 PM2.5 mass concentration reconstruction in China mainland based on LightGBM machine learning J. Ma et al. 10.1016/j.scitotenv.2022.154363
69. Satellite-based estimation of the impacts of summertime wildfires on PM<sub>2.5</sub> concentration in the United States Z. Xue et al. 10.5194/acp-21-11243-2021
70. Three-Year Variations in Criteria Atmospheric Pollutants and Their Relationship with Rainwater Chemistry in Karst Urban Region, Southwest China J. Zeng et al. 10.3390/atmos12081073
71. Estimating PM2.5 concentration using the machine learning GA-SVM method to improve the land use regression model in Shaanxi, China P. Zhang et al. 10.1016/j.ecoenv.2021.112772
72. Global validation and hybrid calibration of CAMS and MERRA-2 PM2.5 reanalysis products based on OpenAQ platform C. Jin et al. 10.1016/j.atmosenv.2022.118972
73. Extracting Information on Rocky Desertification from Satellite Images: A Comparative Study J. Pu et al. 10.3390/rs13132497
74. Associations of long-term exposure to ambient air pollution and physical activity with insomnia in Chinese adults J. Xu et al. 10.1016/j.scitotenv.2021.148197
75. Himawari-8-derived diurnal variations in ground-level PM<sub>2.5</sub> pollution across China using the fast space-time Light Gradient Boosting Machine (LightGBM) J. Wei et al. 10.5194/acp-21-7863-2021
76. Full-coverage mapping and spatiotemporal variations of ground-level ozone (O3) pollution from 2013 to 2020 across China J. Wei et al. 10.1016/j.rse.2021.112775
77. Spatiotemporal variations and relationships of aerosol-radiation-ecosystem productivity over China during 2001–2014 W. Xue et al. 10.1016/j.scitotenv.2020.140324
78. Interpolation-Based Fusion of Sentinel-5P, SRTM, and Regulatory-Grade Ground Stations Data for Producing Spatially Continuous Maps of PM2.5 Concentrations Nationwide over Thailand S. Han et al. 10.3390/atmos13020161
79. Spatiotemporal assessment of PM2.5 concentrations and exposure in China from 2013 to 2017 using satellite-derived data Q. He et al. 10.1016/j.jclepro.2020.124965
80. Determining rainwater chemistry to reveal alkaline rain trend in Southwest China: Evidence from a frequent-rainy karst area with extensive agricultural production J. Zeng et al. 10.1016/j.envpol.2020.115166
81. Cloud detection for Landsat imagery by combining the random forest and superpixels extracted via energy-driven sampling segmentation approaches J. Wei et al. 10.1016/j.rse.2020.112005
82. PM2.5 concentration estimation with 1-km resolution at high coverage over urban agglomerations in China using the BPNN-KED approach and potential application Y. Huang et al. 10.1016/j.atmosres.2021.105628
83. Greenness alleviates the effects of ambient particulate matter on the risks of high blood pressure in children and adolescents L. Chen et al. 10.1016/j.scitotenv.2021.152431
84. Identifying Surface Urban Heat Island Drivers and Their Spatial Heterogeneity in China’s 281 Cities: An Empirical Study Based on Multiscale Geographically Weighted Regression L. Niu et al. 10.3390/rs13214428
85. Urban-rural differences in the association between long-term exposure to ambient air pollution and obesity in China M. Liu et al. 10.1016/j.envres.2021.111597
86. Air quality predictions with a semi-supervised bidirectional LSTM neural network L. Zhang et al. 10.1016/j.apr.2020.09.003
87. Abnormally Shallow Boundary Layer Associated With Severe Air Pollution During the COVID‐19 Lockdown in China T. Su et al. 10.1029/2020GL090041
88. A Spatial-Temporal Interpretable Deep Learning Model for improving interpretability and predictive accuracy of satellite-based PM2.5 X. Yan et al. 10.1016/j.envpol.2021.116459
89. Refining aerosol optical depth retrievals over land by constructing the relationship of spectral surface reflectances through deep learning: Application to Himawari-8 T. Su et al. 10.1016/j.rse.2020.112093
90. A New Long-Term Downward Surface Solar Radiation Dataset over China from 1958 to 2015 N. Hou et al. 10.3390/s20216167
91. Statistical Emulation of Winter Ambient Fine Particulate Matter Concentrations From Emission Changes in China L. Conibear et al. 10.1029/2021GH000391
92. Estimating hourly PM2.5 concentrations in Beijing with satellite aerosol optical depth and a random forest approach J. Sun et al. 10.1016/j.scitotenv.2020.144502
93. Vertical distributions of aerosol microphysical and optical properties based on aircraft measurements made over the Loess Plateau in China Z. Cai et al. 10.1016/j.atmosenv.2021.118888
94. Atmospheric aerosol and black carbon optical properties and associated radiative forcing under haze conditions M. Zhang et al. 10.1016/j.jqsrt.2020.107390
95. Ultrahigh-Resolution (250 m) Regional Surface PM2.5 Concentrations Derived First From MODIS Measurements J. Liu et al. 10.1109/TGRS.2021.3064191
96. Estimation of the PM2.5 and PM10 Mass Concentration over Land from FY-4A Aerosol Optical Depth Data Y. Sun et al. 10.3390/rs13214276
97. Mapping Seasonal High-Resolution PM2.5 Concentrations with Spatiotemporal Bagged-Tree Model across China J. He et al. 10.3390/ijgi10100676