Li-Ming Ruan
Papers
2
Total Citations
73
H-Index
2
About
Li-Ming Ruan is a leading figure in the field of aerosol science and optical particle characterization, with a particular focus on the inverse estimation of particle size distributions. His major contributions lie in developing advanced computational algorithms to solve ill-posed inverse problems, specifically for retrieving aerosol properties from spectral extinction data. Ruan’s 2014 work, "Inverse estimation of the particle size distribution using the Fruit Fly Optimization Algorithm," which has garnered 52 citations, introduced a novel, nature-inspired optimization technique to the field, significantly improving the accuracy and efficiency of particle size retrieval. He further advanced the discipline with his 2014 paper on an effective inversion algorithm for bimodal aerosol distributions, cited 21 times, demonstrating his ability to tackle complex, multi-modal particle systems. Ruan’s research is instrumental for atmospheric monitoring and environmental science, providing robust tools for understanding aerosol impacts on climate and air quality. His innovative application of metaheuristic algorithms marks a notable achievement, bridging computational intelligence with practical remote sensing challenges.
Research Focus
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Top Papers
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