Hong-En Chen

Pennsylvania State University

Papers

5

Total Citations

99

H-Index

5

About

Hong-En Chen is a leading researcher in surgical simulation and medical education, with a focused expertise in central venous catheterization (CVC) training. Chen’s major contributions lie in understanding how gaze patterns, simulator fidelity, and haptic feedback influence skill acquisition and transfer to clinical practice. Notably, Chen’s work demonstrated that novices and experts exhibit distinct gaze behaviors during CVC placement, challenging assumptions about visual attention in procedural training. By investigating the effect of simulator functional fidelity and personalized feedback, Chen showed that dynamic, adaptive simulators can significantly enhance learning outcomes. Their validation of a Dynamic Haptic Robotic Trainer (DHRT) confirmed that high-fidelity haptic simulators effectively distinguish expert performance and improve needle insertion skills among surgical residents. With a cumulative citation count exceeding 100 across their most-cited papers, Chen’s research has been instrumental in advancing evidence-based simulation design. Their studies, published in leading journals, bridge the gap between simulation centers and bedside practice, offering practical insights for curriculum development. Chen’s work continues to shape how surgical educators approach training, emphasizing the critical role of realistic, feedback-rich environments in preparing competent clinicians.

Research Focus

Key Achievements

5
H-Index
5
Papers
99
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
Looks can be deceiving: Gaze pattern differences between novices and experts during placement of central lines
30 citations · 2018
📈 Most Prolific Year: 2018 (4 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Pennsylvania State University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago