Papers
3
Total Citations
63
H-Index
3
About
Jieyun Li is a pioneering researcher at the intersection of robotic surgery and human-robot interaction, with a particular focus on scientometric analysis and computational empathy. Her most impactful work includes a landmark 2020 scientometric study of the top 100 most-cited publications comparing robotic versus laparoscopic surgery (28 citations), which has become a foundational reference for understanding trends in minimally invasive surgical research. Li further advanced this field with her 2021 analysis of the top 100 most-cited original articles and systematic reviews in robotic surgery (12 citations), providing critical insights into the evolution of surgical robotics literature. Beyond surgical applications, Li has made significant contributions to human-robot interaction through her innovative 2021 study on modeling user empathy elicited by a robot storyteller (23 citations). This work explores how virtual and robotic agents can perceive and respond to human empathy, opening new possibilities for meaningful human-machine interactions that support well-being. Her dual focus on rigorous bibliometric analysis and cutting-edge affective computing demonstrates a unique ability to bridge quantitative research methods with emerging technologies in social robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Modeling User Empathy Elicited by a Robot Storyteller23 citations · 2021
- 3