Papers

3

Total Citations

26

H-Index

3

About

Hongen Chen is a researcher whose work bridges the critical intersection of non-destructive testing and medical simulation, demonstrating a unique ability to apply engineering principles to solve real-world challenges. His primary research areas include advanced sensing technologies for material inspection and innovative, low-cost training tools for medical education. Chen’s major contributions are highlighted by his development of a flexible EMAT-scanning system for detecting delamination defects in fusion reactor components, a project with 13 citations that addresses a key safety concern in first-wall integrity. In medical simulation, his work is particularly impactful: he has explored the use of eye tracking to predict performance improvements in simulated central venous catheterization training, showing how cognitive load metrics can personalize learning. Furthermore, Chen pioneered a novel concept for haptic simulation using material fracture, offering a low-cost alternative to expensive cadavers and haptic robots for training in procedures like peripheral nerve blocks. This work, with 6 citations, has the potential to democratize access to high-fidelity medical training. Chen’s research is notable for its practical, cost-effective approach to solving complex problems in both industrial safety and medical education.

Research Focus

Key Achievements

3
H-Index
3
Papers
26
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Inspection of delamination defect in first wall with a flexible EMAT-scanning system
13 citations · 2018
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Xi'an Jiaotong University, Pennsylvania State University

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago