Hanqi Wang
Papers
2
Total Citations
80
H-Index
2
About
Hanqi Wang is an emerging interdisciplinary researcher whose work bridges artificial intelligence and biomedical engineering. His primary research areas include AI-driven tumor management, particularly for head and neck cancers, and the development of advanced functional materials for sensing applications. Wang's most impactful contribution is his 2023 paper "Enhancing head and neck tumor management with artificial intelligence: Integration and perspectives," which has garnered 63 citations for its comprehensive framework integrating machine learning into clinical oncology workflows. This work outlines how AI can improve diagnostic accuracy, treatment planning, and patient outcomes in complex head and neck cases. Additionally, Wang has made notable strides in materials science with his study on low-temperature 3D printing conductive hydrogels, achieving 17 citations for demonstrating how these materials achieve both high electrical conductivity and mechanical sensitivity—a critical advance for wearable sensors and soft robotics. His research uniquely combines computational modeling with experimental fabrication, positioning him at the forefront of smart healthcare technologies. Wang's growing citation record reflects his ability to address pressing clinical challenges through innovative technological solutions.
Research Focus
Key Achievements
Top Papers
- 1
- 2