Weiqian Ji

Henan Polytechnic University

Papers

8

Total Citations

87

H-Index

6

About

Weiqian Ji is a leading figure in satellite-based aerosol remote sensing, specializing in the retrieval and validation of aerosol optical depth (AOD) over bright surfaces and oceans. Their work is pivotal for improving air quality monitoring and climate modeling. Ji’s major contributions include the rigorous evaluation of MODIS Deep Blue and MAIAC aerosol products over China’s arid and semi-arid regions, revealing critical accuracy limitations and driving algorithm refinements. They have also pioneered the adaptation of the Dark Target algorithm for China’s Fengyun-3 MERSI sensors, enabling global aerosol retrievals from this MODIS-like instrument. With highly cited papers (e.g., 19 citations for the 2022 MODIS evaluation, 17 for the MERSI DT study), Ji’s research has directly influenced the operational use of satellite data. Their recent work extends to NOAA-20 VIIRS and the latest MERSI-III, demonstrating a sustained impact on global aerosol product validation. Ji’s achievements are essential for scientists and students seeking reliable satellite-derived aerosol data for environmental and climate research.

Research Focus

Key Achievements

6
H-Index
8
Papers
87
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Evaluation and Comparison of MODIS C6 and C6.1 Deep Blue Aerosol Products in Arid and Semi-Arid Areas of Northwestern China
19 citations · 2022
📈 Most Prolific Year: 2024 (3 Papers)
🤝 Key Collaborators: 22
🏛 Institutions: Henan Polytechnic University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago