Papers
2
Total Citations
14
H-Index
1
About
Kuifeng Luan is a researcher whose work bridges atmospheric science and advanced computational modeling, with a focus on satellite remote sensing and 3D point cloud analysis. A key contribution is their evaluation of multi-satellite aerosol optical depth (AOD) products over East Asia Ocean, a critical region for understanding climate change, atmospheric pollution, and marine ecosystems. This study, cited 13 times, provides essential insights into the accuracy and reliability of satellite measurements over marine environments, supporting global sustainability efforts. Luan’s work in this area highlights the importance of robust data for weather forecasting and environmental monitoring. More recently, Luan has ventured into cutting-edge artificial intelligence, developing methods to enhance point cloud analysis through multi-scale state space modeling and edge graph augmentation—a technique that improves 3D data interpretation for applications in autonomous systems and geospatial analysis. Though this 2025 work has garnered 1 citation, it signals a promising direction in computational geometry. Luan’s interdisciplinary approach, from ocean-atmosphere interactions to machine learning, demonstrates a commitment to solving complex environmental and technological challenges, making their research valuable for students and professionals in remote sensing and AI.
Research Focus
Key Achievements
Top Papers
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- 2