Papers

2

Total Citations

5

H-Index

2

About

Yuxuan Hu is pioneering the convergence of flexible electronics and radio-frequency sensing for next-generation human-machine interfaces. Their research centers on developing intelligent multimodal interaction systems, with a particular focus on tactile perception and adaptive interfaces. Hu’s notable contribution includes the design of a flexible Film Bulk Acoustic Resonator (FBAR) RF sensor based on β-type PVDF films, leveraging the material’s spontaneous polarization for high-precision tactile sensing—a breakthrough for soft robotics and wearable electronics. This work, published in 2024, has already garnered early citations, reflecting its novelty. More recently, Hu introduced an “In-Device Topological Encoding” framework for intelligent multimodal interactions, enabling scenario-adaptive interfaces that integrate touch features with external factor perception. This 2025 publication addresses a critical gap in dynamic interactive environments, moving beyond discrete array structures to achieve differential decision-making. With a growing citation footprint and a focus on bridging materials science with interactive AI, Hu is establishing a reputation for creating soft, intelligent systems that feel, adapt, and respond—key to the future of immersive human-machine collaboration.

Research Focus

Key Achievements

2
H-Index
2
Papers
5
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
A Flexible Film Bulk Acoustic Resonator Radio-Frequency Sensor Based on β-Type PVDF Films for Tactile Perception
3 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 23
🏛 Institutions: Shenzhen Technology University, Xiamen University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago