84 citations as recorded by crossref.

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4. The impact of urban landscape patterns on land surface temperature at the street block level: Evidence from 38 big Chinese cities A. Zhang et al. 10.1016/j.eiar.2024.107673
5. 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
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8. Gap-filling MODIS daily aerosol optical depth products by developing a spatiotemporal fitting algorithm T. Zhang et al. 10.1080/15481603.2022.2060596
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13. 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
14. 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
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18. Evaluating urban and nonurban PM 2.5 variability under clean air actions in China during 2010–2022 based on a new high-quality dataset B. Liu et al. 10.1080/17538947.2024.2310734
19. Spatiotemporal variations and influencing factors of heatwaves in Chengdu, China Y. Li et al. 10.1016/j.ecoinf.2024.102924
20. Deep Learning with Pretrained Framework Unleashes the Power of Satellite-Based Global Fine-Mode Aerosol Retrieval X. Yan et al. 10.1021/acs.est.4c02701
21. 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
22. 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
23. 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
24. Quantifying Long-Term Spatiotemporal Variation in and Drivers of the Surface Daytime Urban Heat Island Effect in Major Chinese Cities: Perspectives from Different Climate Zones M. Zheng et al. 10.3390/ijgi14070239
25. 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
26. 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
27. Accuracy assessment on eight public PM2.5 concentration datasets across China Y. Di et al. 10.1016/j.atmosenv.2024.120799
28. 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
29. 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
30. 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
31. 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
32. Research on Time Series Interpolation and Reconstruction of Multi-Source Remote Sensing AOD Product Data Using Machine Learning Methods H. Wang et al. 10.3390/atmos16060655
33. 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
34. Perspectives on Advancing Multimodal Learning in Environmental Science and Engineering Studies W. Liu et al. 10.1021/acs.est.4c03088
35. 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
36. 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
37. 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
38. 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
39. The evolution of open biomass burning during summer crop harvest in the North China Plain S. Li et al. 10.1177/03091333231187817
40. 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
41. Impact of Clean Air Policy on Criteria Air Pollutants and Health Risks Across China During 2013–2021 R. Li et al. 10.1029/2023JD038939
42. 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
43. 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
44. Improved seamless mapping of surface O3 concentrations using an integrated deep learning framework T. Li et al. 10.1038/s41612-025-01007-x
45. 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
46. 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
47. Full Coverage Estimation of the PM Concentration Across China Based on an Adaptive Spatiotemporal Approach C. Lei et al. 10.1109/TGRS.2022.3213797
48. Assessment of personal exposure using movement trajectory and hourly 1-km PM2.5 concentrations H. Bai et al. 10.1117/1.JRS.18.012003
49. 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
50. The modulation of synoptic weather patterns and human activities on the diurnal cycle of the summertime canopy urban heat island in the Yangtze River Delta Urban Agglomeration, China T. Shi et al. 10.5194/acp-25-4989-2025
51. Reconstructing aerosol optical depth using spatiotemporal Long Short-Term Memory convolutional autoencoder L. Liang et al. 10.1038/s41597-023-02696-w
52. 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
53. 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
54. 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
55. 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
56. 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
57. Validation of the improved GOES-16 aerosol optical depth product over North America D. Fu et al. 10.1016/j.atmosenv.2023.119642
58. 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
59. 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
60. Evaluation of four meteorological reanalysis datasets for satellite-based PM2.5 retrieval over China C. Zuo et al. 10.1016/j.atmosenv.2023.119795
61. 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
62. 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
63. 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
64. 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
65. Forecasting particulate matter concentration in Shanghai using a small-scale long-term dataset A. Salcedo-Bosch et al. 10.1186/s12302-025-01068-y
66. 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
67. 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
68. 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
69. 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
70. Reconstructing long-term (1980–2022) daily ground particulate matter concentrations in India (LongPMInd) S. Wang et al. 10.5194/essd-16-3565-2024
71. 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
72. 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
73. Advancing ecological quality assessment in China: Introducing the ARSEI and identifying key regional drivers Q. Tang et al. 10.1016/j.ecolind.2024.112109
74. 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
75. 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
76. Improved estimation of particulate matter in China based on multisource data fusion S. Wang et al. 10.1016/j.scitotenv.2023.161552
77. 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
78. 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
79. 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
80. A multimodal machine learning fused global 0.1° daily evapotranspiration dataset from 1950-2022 Q. Xu et al. 10.1016/j.agrformet.2025.110645
81. The dynamic impact of trade on environment H. Wang et al. 10.1111/joes.12624
82. Quantitative Analysis of Spatiotemporal Patterns and Factor Contributions of Surface Ozone in the North China Plain Y. Li et al. 10.3390/app14125026
83. 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
84. 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