Papers
2
Total Citations
40
H-Index
2
About
Shan He is a pioneering researcher at the intersection of advanced nanomaterials and human-technology interaction, with key contributions spanning graphene-based sensor engineering and AI-driven consumer psychology. In their highly cited 2024 review on graphene-based sensors for tactile applications, He provides a comprehensive synthesis of how graphene’s exceptional electromechanical properties—across various physicochemical forms—are revolutionizing flexible sensing prototypes for next-generation wearable and robotic systems. This work, garnering 28 citations, establishes a critical roadmap for translating nanomaterial innovations into practical tactile technologies. Complementing this technical expertise, He’s influential study on AI service robots and consumer well-being (12 citations) breaks new ground by uncovering a chain mediating model where robot empathy ability directly enhances human welfare—a novel framework that challenges prior assumptions about AI-human exchange relationships. By bridging materials science with behavioral research, He demonstrates a rare interdisciplinary vision, advancing both the hardware and the human-centered design of intelligent systems. Their work not only shapes future sensor development but also redefines how empathetic AI can foster genuine consumer well-being, marking He as a transformative voice in modern technology research.
Research Focus
Key Achievements
Top Papers
- 1A review on graphene-based sensors for tactile applications28 citations · 2024
- 2