Yuefan Hu

Papers

Total Citations

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About

Yuefan Hu is a leading researcher in bioinspired sensory systems and neuromorphic engineering, with a particular focus on artificial olfaction and memory technologies. Her most-cited work, "An Artificial Olfactory Memory System for Monitoring and Recording of Volatile Organic Compounds" (2021, 46 citations), introduces a groundbreaking platform that mimics the biological olfactory memory process—from odor detection by receptor cells to rapid decision-making in the brain. This innovation enables real-time monitoring and recording of volatile organic compounds, bridging the gap between sensory perception and memory storage in artificial systems. Hu’s contributions have significant implications for environmental monitoring, healthcare diagnostics, and smart sensing technologies. Her work stands out for its interdisciplinary approach, combining materials science, neural computing, and bioengineering to create devices that learn and remember chemical cues. With growing citation impact, Hu is recognized for advancing the frontier of artificial sensory systems, offering new pathways for intelligent, adaptive technologies that emulate the complexity of biological memory.