Haowen Yang

Shanghai University of Engineering Science

Papers

2

Total Citations

19

H-Index

2

About

Haowen Yang is an emerging materials scientist whose research sits at the forefront of smart polymers, flexible electronics, and advanced elastomer design. His work addresses fundamental challenges in developing next-generation functional materials that combine mechanical robustness with sophisticated electronic and sensing capabilities. Yang's most recognized contribution, already accumulating 14 citations since its 2024 publication, introduced dynamic adaptive cross-linked elastomers that simultaneously overcome the strength–toughness trade-off, achieve high electrical conductivity, and maintain recyclability — properties rarely achieved together in stimuli-responsive systems. This breakthrough enables both strain sensing and self-sensing actuation within a single material platform, significantly advancing the practical viability of flexible and wearable electronics. Building on this foundation, his 2025 work on all-solid-state ionic elastomers pushes conductivity boundaries further by harnessing strain-induced ion channel alignment and temperature-activated ion-gated release mechanisms. This innovative dual-stimulus approach addresses longstanding limitations in conventional ionic conductors, opening new design pathways for ionic electronics and adaptive smart systems. Though early in his career, Yang's rapid citation growth and focus on solving real engineering constraints — conductivity, durability, and recyclability — position him as a promising voice in the field of intelligent soft materials and next-generation sensor-actuator technologies.

Research Focus

Key Achievements

2
H-Index
2
Papers
19
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Dynamic Adaptive Cross-linked Elastomers with Highly Robust, Recyclable, and Conductive Abilities toward Strain Sensors and Self-Sensing Actuators
14 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Shanghai University of Engineering Science

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago