Xing Yan

Beijing Normal University, Hong Kong Polytechnic University, Capital Normal University

Papers

14

Total Citations

461

H-Index

12

About

No biography available yet.

Research Focus

Environmental science14 · 461 citations
Meteorology14 · 461 citations
AERONET14 · 461 citations
Aerosol14 · 461 citations
Remote sensing13 · 444 citations
Satellite13 · 390 citations
Geography12 · 354 citations
Geology10 · 344 citations
Moderate-resolution imaging spectroradiometer10 · 336 citations
Computer science6 · 247 citations
Mathematics6 · 247 citations
Mean squared error6 · 247 citations

Key Achievements

12
H-Index
14
Papers
461
Total Citations
33
Avg Citations/Paper
🏆 Most Cited Paper
Evaluation and Comparison of Himawari-8 L2 V1.0, V2.1 and MODIS C6.1 aerosol products over Asia and the oceania regions
71 citations · 2019
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 30
🏛 Institutions: Beijing Normal University, Hong Kong Polytechnic University, Capital Normal University

Top Papers

  1. 1
    Evaluation and Comparison of Himawari-8 L2 V1.0, V2.1 and MODIS C6.1 aerosol products over Asia and the oceania regions
    71 citations · 2019
  2. 2
    Statistical aerosol properties associated with fire events from 2002 to 2019 and a case analysis in 2019 over Australia
    59 citations · 2021
  3. 3
    Satellite-based PM2.5 estimation using fine-mode aerosol optical thickness over China
    57 citations · 2017
  4. 4
    A Regionally Robust High-Spatial-Resolution Aerosol Retrieval Algorithm for MODIS Images Over Eastern China
    50 citations · 2019
  5. 5
    An improved algorithm for retrieving the fine-mode fraction of aerosol optical thickness, part 1: Algorithm development
    39 citations · 2017
  6. 6
    An improved algorithm for retrieving the fine-mode fraction of aerosol optical thickness. Part 2: Application and validation in Asia
    37 citations · 2018
  7. 7
    Improved aerosol retrieval algorithm using Landsat images and its application for PM10 monitoring over urban areas
    32 citations · 2014
  8. 8
    A global land aerosol fine-mode fraction dataset (2001–2020) retrieved from MODIS using hybrid physical and deep learning approaches
    32 citations · 2022
  9. 9
    An Improved Global Land Anthropogenic Aerosol Product Based on Satellite Retrievals From 2008 to 2016
    22 citations · 2020
  10. 10
    New global aerosol fine-mode fraction data over land derived from MODIS satellite retrievals
    19 citations · 2021

Key Collaborators

ZLZhanqing Li7 shared papersWSWenzhong Shi7 shared papersWZWenji Zhao7 shared papersNLNana Luo5 shared papersXYXingchuan Yang4 shared papersNLNana Luo4 shared papersCZChen Zuo3 shared papersYJYize Jiang3 shared papersCZChuanfeng Zhao3 shared papersZZZhou Zang3 shared papersLCLiang Chen3 shared papersMCMaureen Cribb3 shared papersHFHao Fan2 shared papersYYYikun Yang2 shared papersJCJiayi Chen2 shared papersYGYushan Guo1 shared papersWZWenji Zhao1 shared papersFZFang Zhang1 shared papersXYXue Yu1 shared papersYZYue Zhang1 shared papers
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