39 citations as recorded by crossref.

1. Retrieval of sub-kilometer resolution solar irradiance from Fengyun-4A satellite using a region-adapted Heliosat-2 method C. Huang et al. 10.1016/j.solener.2023.112038
2. Long-term exposure to particulate matter and COPD mortality: Insights from causal inference methods based on a large population cohort in southern China Y. Wang et al. 10.1016/j.scitotenv.2022.160808
3. 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
4. The evolution of open biomass burning during summer crop harvest in the North China Plain S. Li et al. 10.1177/03091333231187817
5. Impacts of urban expansion on meteorology and air quality in North China Plain during wintertime: A case study Q. Jiang et al. 10.1016/j.uclim.2023.101696
6. Impact of Clean Air Policy on Criteria Air Pollutants and Health Risks Across China During 2013–2021 R. Li et al. 10.1029/2023JD038939
7. Generating daily high-resolution and full-coverage XCO2 across China from 2015 to 2020 based on OCO-2 and CAMS data T. Li et al. 10.1016/j.scitotenv.2023.164921
8. Reconstructing MODIS aerosol optical depth and exploring dynamic and influential factors of AOD via random forest at the global scale B. Guo et al. 10.1016/j.atmosenv.2023.120159
9. Full-coverage 1-km estimates and spatiotemporal trends of aerosol optical depth over Taiwan from 2003 to 2019 W. Wang et al. 10.1016/j.apr.2022.101579
10. Estimating particulate matter concentrations and meteorological contributions in China during 2000–2020 S. Wang et al. 10.1016/j.chemosphere.2023.138742
11. Assessment of personal exposure using movement trajectory and hourly 1-km PM2.5 concentrations H. Bai et al. 10.1117/1.JRS.18.012003
12. Spatiotemporal variation of LAI in different vegetation types and its response to climate change in China from 2001 to 2020 Y. Ma et al. 10.1016/j.ecolind.2023.111101
13. Reconstructing aerosol optical depth using spatiotemporal Long Short-Term Memory convolutional autoencoder L. Liang et al. 10.1038/s41597-023-02696-w
14. Gap-filling MODIS daily aerosol optical depth products by developing a spatiotemporal fitting algorithm T. Zhang et al. 10.1080/15481603.2022.2060596
15. Reconstructing 6-hourly PM2.5 datasets from 1960 to 2020 in China J. Zhong et al. 10.5194/essd-14-3197-2022
16. Validation of the improved GOES-16 aerosol optical depth product over North America D. Fu et al. 10.1016/j.atmosenv.2023.119642
17. Evaluation of four meteorological reanalysis datasets for satellite-based PM2.5 retrieval over China C. Zuo et al. 10.1016/j.atmosenv.2023.119795
18. Global spatiotemporal completion of daily high-resolution TCCO from TROPOMI over land using a swath-based local ensemble learning method Y. Wang et al. 10.1016/j.isprsjprs.2022.10.012
19. Spatially gap free analysis of aerosol type grids in China: First retrieval via satellite remote sensing and big data analytics K. Li et al. 10.1016/j.isprsjprs.2022.09.001
20. 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
21. A novel algorithm for full-coverage daily aerosol optical depth retrievals using machine learning-based reconstruction technique X. Yu et al. 10.1016/j.atmosenv.2023.120216
22. Potential causal links between long-term ambient particulate matter exposure and cerebrovascular mortality: Insights from a large cohort in southern China S. Chen et al. 10.1016/j.envpol.2023.121336
23. Enhancing the reliability of hindcast modeling for air pollution using history-informed machine learning and satellite remote sensing in China Q. He et al. 10.1016/j.atmosenv.2023.119994
24. Joint estimation of PM2.5 and O3 over China using a knowledge-informed neural network T. Li et al. 10.1016/j.gsf.2022.101499
25. 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
26. Potential causal links and mediation pathway between urban greenness and lung cancer mortality: Result from a large cohort (2009 to 2020) W. Wu et al. 10.1016/j.scs.2023.105079
27. Potential causal links of long‐term air pollution with lung cancer incidence: From the perspectives of mortality and hospital admission in a large cohort study in southern China T. Guo et al. 10.1002/ijc.34699
28. A Spatiotemporal Interpolation Graph Convolutional Network for Estimating PM₂.₅ Concentrations Based on Urban Functional Zones X. Chen et al. 10.1109/TGRS.2022.3231968
29. 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
30. 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
31. Spatiotemporal high-resolution imputation modeling of aerosol optical depth for investigating its full-coverage variation in China from 2003 to 2020 Q. He et al. 10.1016/j.atmosres.2022.106481
32. Influence of spatial resolution of PM2.5 concentrations and population on health impact assessment from 2010 to 2020 in China H. Bai et al. 10.1016/j.envpol.2023.121505
33. Cooperative simultaneous inversion of satellite-based real-time PM2.5 and ozone levels using an improved deep learning model with attention mechanism X. Yan et al. 10.1016/j.envpol.2023.121509
34. Spatiotemporal patterns and quantitative analysis of influencing factors of PM2.5 and O3 pollution in the North China Plain M. Ma et al. 10.1016/j.apr.2023.101950
35. Improved estimation of particulate matter in China based on multisource data fusion S. Wang et al. 10.1016/j.scitotenv.2023.161552
36. Potential causal links between long-term ambient particulate matter exposure and cardiovascular mortality: New evidence from a large community-based cohort in South China Y. Zhang et al. 10.1016/j.ecoenv.2023.114730
37. Comparative evaluation of backpropagation neural network and genetic algorithm-backpropagation neural network models for PM2.5 concentration prediction based on aerosol optical depth, meteorological factors, and air pollutants J. Gu et al. 10.1117/1.JRS.18.012006
38. Urbanization Amplified Asymmetrical Changes of Rainfall and Exacerbated Drought: Analysis Over Five Urban Agglomerations in the Yangtze River Basin, China S. Huang et al. 10.1029/2022EF003117
39. The complex role of air pollution on the association between greenness and respiratory mortality: Insight from a large cohort, 2009–2020 W. Wu et al. 10.1016/j.scitotenv.2023.165588