Standout Papers

Global Estimates of Fine Particulate Matter using a Combined Geophysical-Statistical Method with Info... 2016 2026 2019 2022 865
  1. Global Estimates of Fine Particulate Matter using a Combined Geophysical-Statistical Method with Information from Satellites, Models, and Monitors (2016)
    Aaron van Donkelaar, Randall V. Martin et al. Environmental Science & Technology
  2. Advancements in the Aerosol Robotic Network (AERONET) Version 3 database – automated near-real-time quality control algorithm with improved cloud screening for Sun photometer aerosol optical depth (AOD) measurements (2019)
    D. M. Giles, A. Sinyuk et al. Atmospheric measurement techniques
  3. Reconstructing 1-km-resolution high-quality PM2.5 data records from 2000 to 2018 in China: spatiotemporal variations and policy implications (2020)
    Jing Wei, Zhanqing Li et al. Remote Sensing of Environment
  4. MODIS Collection 6 MAIAC algorithm (2018)
    Alexei Lyapustin, Yujie Wang et al. Atmospheric measurement techniques
  5. Global Estimates and Long-Term Trends of Fine Particulate Matter Concentrations (1998–2018) (2020)
    Melanie S. Hammer, Aaron van Donkelaar et al. Environmental Science & Technology
  6. Multiangle implementation of atmospheric correction (MAIAC): 2. Aerosol algorithm (2011)
    Alexei Lyapustin, Yun Wang et al. Journal of Geophysical Research Atmospheres
  7. An ensemble-based model of PM2.5 concentration across the contiguous United States with high spatiotemporal resolution (2019)
    Qian Di, Heresh Amini et al. Environment International
  8. Improved 1 km resolution PM 2.5 estimates across China using enhanced space–time extremely randomized trees (2020)
    Jing Wei, Zhanqing Li et al. Atmospheric chemistry and physics
  9. Monthly Global Estimates of Fine Particulate Matter and Their Uncertainty (2021)
    Aaron van Donkelaar, Melanie S. Hammer et al. Environmental Science & Technology
  10. Assessing PM2.5Exposures with High Spatiotemporal Resolution across the Continental United States (2016)
    Qian Di, Itai Kloog et al. Environmental Science & Technology
  11. Spatial validation reveals poor predictive performance of large-scale ecological mapping models (2020)
    Pierre Ploton, Frédéric Mortier et al. Nature Communications
  12. Estimation of daily PM10 and PM2.5 concentrations in Italy, 2013–2015, using a spatiotemporal land-use random-forest model (2019)
    Massimo Stafoggia, Tom Bellander et al. Environment International
  13. The AERONET Version 3 aerosol retrieval algorithm, associated uncertainties and comparisons to Version 2 (2020)
    A. Sinyuk, B. N. Holben et al. Atmospheric measurement techniques
  14. Separating Daily 1 km PM2.5 Inorganic Chemical Composition in China since 2000 via Deep Learning Integrating Ground, Satellite, and Model Data (2023)
    Jing Wei, Zhanqing Li et al. Environmental Science & Technology

Immediate Impact

27 from Science/Nature 75 standout
Sub-graph 1 of 19

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Substantially underestimated global health risks of current ozone pollution
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Global increase in the occurrence and impact of multiyear droughts
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21 intermediate papers

Works of Alexei Lyapustin being referenced

First close insight into global daily gapless 1 km PM2.5 pollution, variability, and health impact
2023
Photosynthetic seasonality of global tropical forests constrained by hydroclimate
2015
and 23 more

Author Peers

Author Last Decade Papers Cites
Alexei Lyapustin 8890 7559 5519 6931 206 16.0k
Zhanqing Li 17666 17354 4153 6156 444 23.6k
R. C. Levy 14332 14340 3079 5163 150 18.5k
Ralph A. Kahn 13352 13355 2677 4569 258 18.5k
Yujie Wang 4487 3248 2978 3046 249 9.5k
Lin Zhang 4147 7219 2545 4956 316 11.8k
Jianping Guo 7740 8612 3089 4453 341 12.0k
Jun Wang 7730 7991 2583 3810 342 11.8k
Sue Grimmond 8700 4854 12978 4756 262 17.4k
Jean‐François Lamarque 21483 19825 2168 4504 275 31.0k
Kaicun Wang 7288 4635 3158 1636 172 10.2k

All Works

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