Papers

16

Total Citations

336

H-Index

12

About

Weizhen Hou is a prominent remote sensing scientist whose research centers on satellite-based aerosol retrieval, atmospheric correction, and radiative transfer. With a body of work spanning geostationary and polar-orbiting platforms, Hou has made significant contributions to advancing methods for retrieving key atmospheric parameters — particularly aerosol optical depth (AOD) and fine-mode fraction (FMF) — from multispectral and polarimetric satellite observations. Among his most influential contributions is the development of a Dark Target algorithm for Himawari-8/AHI aerosol retrieval (2018, 62 citations), enabling high-temporal-resolution monitoring of aerosol dynamics across East Asia. His pioneering work on polarization-based FMF retrieval using PARASOL and POLDER-3 data (2016, 43 citations; 2020, 40 citations) has advanced the scientific community's ability to distinguish fine-mode, anthropogenic aerosols from coarser natural particles. Hou has also contributed to the validation of China's next-generation satellite sensors, including FY-3D MERSI-2 and FY-4A/AGRI, reflecting his strong engagement with national Earth observation programs. His early work on GOCI aerosol retrieval further demonstrated expertise in leveraging geostationary platforms for continuous atmospheric monitoring. Collectively, his publications — accumulating over 280 citations — represent a meaningful impact on satellite remote sensing methodology and atmospheric science.

Research Focus

Key Achievements

12
H-Index
16
Papers
336
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
A Dark Target Method for Himawari-8/AHI Aerosol Retrieval: Application and Validation
62 citations · 2018
📈 Most Prolific Year: 2021 (4 Papers)
🤝 Key Collaborators: 75
🏛 Institutions: Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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