Qiquan Yang

Macau University of Science and Technology

Papers

Total Citations

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About

Qiquan Yang is a leading researcher in planetary science and artificial intelligence, with a focus on Martian atmospheric phenomena and automated image analysis. His key research areas include Martian dust devil detection, climate system modeling, and the application of deep learning to planetary remote sensing. Yang’s most notable contribution is the development of an improved Faster R-CNN model for automatic dust devil detection from Mars Orbiter images, a breakthrough that enhances our understanding of Martian climate, surface-atmosphere interactions, aeolian processes, and regolith dynamics. His 2024 paper on this topic has already garnered 11 citations, underscoring its immediate impact on the field. By enabling efficient, large-scale identification of dust devils, Yang’s work accelerates research into Mars’s weather patterns and geological evolution. His innovative fusion of computer vision and planetary science positions him as a key figure in the next generation of Mars exploration, offering tools that could support future missions and deepen our knowledge of the Red Planet’s environment.