Erhong Sun

Naval University of Engineering

Papers

1

Total Citations

6

H-Index

1

About

Erhong Sun is a rising scholar whose research lies at the intersection of public health, technology acceptance, and social psychology, with a particular focus on how populations perceive and interact with emerging healthcare technologies. Sun’s most cited work, a 2022 study employing latent profile analysis, reveals the nuanced heterogeneity of Chinese public attitudes toward healthcare robots—a critical contribution as robotic systems become increasingly integrated into medical settings. By identifying distinct attitude profiles and linking them to demographic characteristics, this research provides actionable insights for designing targeted public engagement strategies and improving technology adoption. With 6 citations already, this foundational paper is gaining traction among scholars studying human-robot interaction and health communication. Sun’s work is notable for its methodological rigor in applying advanced statistical techniques to capture complex public sentiment, moving beyond simplistic pro- or anti-technology dichotomies. As healthcare systems worldwide grapple with workforce shortages and aging populations, Sun’s findings offer a vital evidence base for policymakers and engineers seeking to align robotic innovations with diverse user expectations.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Heterogeneity of Attitudes toward Robots in Healthcare among the Chinese Public: A Latent Profile Analysis
6 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Naval University of Engineering

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago