Xin Pan

Papers

Total Citations

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About

Xin Pan is a materials scientist whose research focuses on the development of flexible, wearable sensors derived from sustainable, biomass-based carbon materials. Pan’s most-cited work, "A wearable strain sensor based on carbon derived from linen fabrics" (2020, 22 citations), demonstrates a novel approach to converting natural linen textiles into highly sensitive, conductive carbon structures. This key contribution offers a low-cost, eco-friendly alternative to traditional metal- or polymer-based sensors, enabling precise detection of human motion—from subtle finger bends to large joint movements. By leveraging the hierarchical structure of woven fabrics, Pan’s sensor achieves excellent flexibility, durability, and rapid response, making it a promising candidate for health monitoring, smart textiles, and soft robotics. Though early in their career, Pan’s work has already attracted attention for its innovative fusion of green chemistry and advanced sensing technology, positioning them as an emerging leader in sustainable wearable electronics. Their research not only advances the field of strain sensors but also opens new pathways for repurposing everyday textiles into high-performance electronic devices.