Papers
1
Total Citations
4
H-Index
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About
Xingsi Han is a researcher specializing in atmospheric aerosol optics and remote sensing, with a particular focus on the retrieval of aerosol microphysical and optical properties from light-scattering measurements. In their most-cited work, "Retrieval of aerosol optical constants from angular light-scattering measurement signals using principal component analysis approach" (2018), Han introduced an innovative method that leverages principal component analysis to extract aerosol optical constants—such as refractive indices—from angular scattering signals. This contribution addresses a critical challenge in atmospheric science: accurately characterizing aerosol composition and radiative effects, which are essential for climate modeling and air quality studies. While the paper has garnered 4 citations, its methodological novelty has laid groundwork for more efficient and robust retrieval techniques in aerosol remote sensing. Han’s research bridges experimental measurement and computational analysis, offering practical tools for interpreting light-scattering data from instruments like nephelometers or lidar systems. Their work is particularly valuable for students and researchers interested in aerosol optics, inverse problems, and the application of statistical methods to environmental monitoring.
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