Papers
2
Total Citations
19
H-Index
2
About
Yuan Lin is an interdisciplinary researcher whose work bridges biomedical engineering, neuromorphic computing, and advanced materials science. With a focus on rehabilitative robotics and brain-inspired computing systems, Lin has made meaningful contributions to both clinical and computational neuroscience. His most-cited work, "A Wearable Master–Slave Rehabilitation Robot Based on an Epidermal Array Electrode Sleeve and Multichannel Electromyography Network" (2023, 15 citations), demonstrates a sophisticated integration of EMG signal processing and network analysis to decode muscle coordination patterns, enabling intuitive robotic rehabilitation interfaces that could meaningfully improve recovery outcomes for motor-impaired patients. Beyond biomedical robotics, Lin has pushed into next-generation computing hardware, as evidenced by his 2024 research on optoelectronic synapses utilizing defect-engineered tellurene for neuromorphic applications. This work addresses a critical challenge in the field — achieving precise, tunable synaptic weight control — and reflects Lin's interest in mimicking biological neural mechanisms through novel material platforms. Collectively, Lin's research positions him as an emerging voice in the convergence of neural engineering, wearable technology, and bio-inspired computing, with growing recognition across multiple high-impact domains.
Research Focus
Key Achievements
Top Papers
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