78 citations as recorded by crossref.

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15. 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
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20. PM2.5 estimated directly from satellite data and from fused data produced by an interpretable multi-model stacking ensemble method X. Ma et al. 10.1016/j.apr.2024.102259
21. Estimating the spatiotemporal distribution of PM2.5 concentrations in Tianjin during the Chinese Spring Festival: Impact of fireworks ban Z. Liu et al. 10.1016/j.envpol.2024.124899
22. 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
23. 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
24. Accuracy assessment on eight public PM2.5 concentration datasets across China Y. Di et al. 10.1016/j.atmosenv.2024.120799
25. 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
26. Estimation of regional PM2.5 concentration in China based on fine-mode aerosol optical thickness (AODf) and study of influencing factors C. Wan et al. 10.1016/j.atmosenv.2025.121026
27. 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
28. 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
29. 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
30. Perspectives on Advancing Multimodal Learning in Environmental Science and Engineering Studies W. Liu et al. 10.1021/acs.est.4c03088
31. 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
32. 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
33. Estimating 1-km PM2.5 concentrations based on a novel spatiotemporal parallel network STMSPNet in the Beijing-Tianjin-Hebei region Q. Zeng et al. 10.1016/j.atmosenv.2024.120796
34. 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
35. The evolution of open biomass burning during summer crop harvest in the North China Plain S. Li et al. 10.1177/03091333231187817
36. 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
37. Impact of Clean Air Policy on Criteria Air Pollutants and Health Risks Across China During 2013–2021 R. Li et al. 10.1029/2023JD038939
38. 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
39. 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
40. Improved seamless mapping of surface O3 concentrations using an integrated deep learning framework T. Li et al. 10.1038/s41612-025-01007-x
41. Urban residential greenness and cancer mortality: Evaluating the causal mediation role of air pollution in a large cohort Z. Li et al. 10.1016/j.envpol.2024.124704
42. 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
43. Full Coverage Estimation of the PM Concentration Across China Based on an Adaptive Spatiotemporal Approach C. Lei et al. 10.1109/TGRS.2022.3213797
44. Assessment of personal exposure using movement trajectory and hourly 1-km PM2.5 concentrations H. Bai et al. 10.1117/1.JRS.18.012003
45. 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
46. Reconstructing aerosol optical depth using spatiotemporal Long Short-Term Memory convolutional autoencoder L. Liang et al. 10.1038/s41597-023-02696-w
47. Quantitative Estimation of the Impacts of Precursor Emissions on Surface O3 and PM2.5 Collaborative Pollution in Three Typical Regions of China via Multi-Task Learning M. Liu et al. 10.3390/su16062475
48. LGHAP v2: a global gap-free aerosol optical depth and PM2.5 concentration dataset since 2000 derived via big Earth data analytics K. Bai et al. 10.5194/essd-16-2425-2024
49. Residential greenness and chronic obstructive pulmonary disease in a large cohort in southern China: Potential causal links, risk trajectories, and mediation pathways W. Wu et al. 10.1016/j.jare.2024.05.025
50. SCAGAT: A scene-aware ensemble graph attention network for global PM2.5 pollution mapping via land–atmosphere interactions K. Bai et al. 10.1016/j.isprsjprs.2025.04.019
51. Analysis of vegetation dynamics from 2001 to 2020 in China's Ganzhou rare earth mining area using time series remote sensing and SHAP-enhanced machine learning L. Ming et al. 10.1016/j.ecoinf.2024.102887
52. Validation of the improved GOES-16 aerosol optical depth product over North America D. Fu et al. 10.1016/j.atmosenv.2023.119642
53. Evaluating the effects of meteorology and emission changes on ozone in different regions over China based on machine learning B. Liu et al. 10.1016/j.apr.2024.102354
54. Joint Retrieval of PM2.5 Concentration and Aerosol Optical Depth over China Using Multi-Task Learning on FY-4A AGRI B. Li et al. 10.1007/s00376-024-3222-y
55. Evaluation of four meteorological reanalysis datasets for satellite-based PM2.5 retrieval over China C. Zuo et al. 10.1016/j.atmosenv.2023.119795
56. Spatiotemporal Evolution in the Thermal Environment and Impact Analysis of Drivers in the Beijing–Tianjin–Hebei Urban Agglomeration of China from 2000 to 2020 H. Liu et al. 10.3390/rs16142601
57. PM 2.5 estimation and its relationship with NO 2 and SO 2 in China from 2016 to 2020 H. Tan et al. 10.1080/17538947.2024.2398055
58. 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
59. Research on the distribution and influencing factors of fine mode aerosol optical depth (AODf) in China H. Xu et al. 10.1016/j.atmosenv.2024.120721
60. Forecasting particulate matter concentration in Shanghai using a small-scale long-term dataset A. Salcedo-Bosch et al. 10.1186/s12302-025-01068-y
61. Generating station-like downward shortwave radiation data by using sky condition-guided model based on ERA5-Land data X. Li et al. 10.1016/j.energy.2024.132417
62. 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
63. 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
64. Long-term hourly air quality data bridging of neighboring sites using automated machine learning: A case study in the Greater Bay area of China B. Wu et al. 10.1016/j.atmosenv.2024.120347
65. Reconstructing long-term (1980–2022) daily ground particulate matter concentrations in India (LongPMInd) S. Wang et al. 10.5194/essd-16-3565-2024
66. 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
67. 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
68. Advancing ecological quality assessment in China: Introducing the ARSEI and identifying key regional drivers Q. Tang et al. 10.1016/j.ecolind.2024.112109
69. 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
70. 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
71. Improved estimation of particulate matter in China based on multisource data fusion S. Wang et al. 10.1016/j.scitotenv.2023.161552
72. Unveiling causal connections: Long-term particulate matter exposure and type 2 diabetes mellitus mortality in Southern China T. Guo et al. 10.1016/j.ecoenv.2024.116212
73. 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
74. Mapping the seamless hourly surface visibility in China: a real-time retrieval framework using a machine-learning-based stacked ensemble model X. Zhang et al. 10.1038/s41612-024-00617-1
75. The dynamic impact of trade on environment H. Wang et al. 10.1111/joes.12624
76. Quantitative Analysis of Spatiotemporal Patterns and Factor Contributions of Surface Ozone in the North China Plain Y. Li et al. 10.3390/app14125026
77. 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
78. The establishment of blue-sky index: how to quantify the aerosol optical impacts on sky color S. Shen et al. 10.1088/1748-9326/ad9340