Papers
10
Total Citations
524
H-Index
10
About
Litao Sun is a prolific researcher at the forefront of flexible electronics, advanced sensing technologies, and human-machine interfaces. His work spans several interconnected domains, including wearable sensors, brain-machine interfaces (BMIs), soft robotics, and novel functional materials such as graphene, MXene, and metal-organic frameworks (MOFs). Sun's most celebrated contribution—a 2016 study on graphene oxide as a dielectric material for capacitive pressure sensors (246 citations)—established a foundational framework for high-performance flexible sensing. Building on this, he has pioneered wearable multimode and strain-insensitive pressure sensors capable of decoupling complex mechanical stimuli, often augmented by deep learning algorithms for precise joint motion recognition. His 2021 review on electrode materials for BMIs (81 citations) underscores his commitment to bridging neuroscience and engineering, while his work on conductive porous MXene sensors advances reliable gesture monitoring for human-machine interaction. More recently, Sun has explored bioinspired soft robotics, developing Venus flytrap-inspired systems that operate without centralized data processing, and contributed comprehensive reviews on flexible acceleration sensing technologies. Collectively, his publications—accumulating hundreds of citations—reflect a sustained and impactful effort to transform intelligent wearable electronics and bioelectronic interfaces into practical, real-world solutions.
Research Focus
Key Achievements
Top Papers
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- 2Electrode materials for brain–machine interface: A review81 citations · 2021
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- 9A strain-insensitive quantitative pressure sensor on your dynamic tissue12 citations · 2022
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