Yongkang Chen
Papers
2
Total Citations
35
H-Index
2
About
Yongkang Chen is an emerging researcher specializing in human-robot interaction and social robot design, with a particular focus on understanding how interaction design shapes user acceptance and experience. His most notable contribution is a rigorous bibliometric analysis of research hotspots and trends within social robot interaction design, a study that has garnered significant attention in the field, accumulating 32 citations since its publication in 2023 — a remarkable achievement for recently published work. By systematically mapping the intellectual landscape of social robot interaction design, Chen addressed a critical gap in the literature: the absence of comprehensive, data-driven overviews of where the field has been and where it is heading. His bibliometric methodology provides researchers and designers with a structured foundation for identifying underexplored directions and prioritizing future inquiry. Chen's work is especially valuable for students and practitioners seeking to navigate the rapidly evolving domain of social robotics, offering both a historical synthesis and a forward-looking roadmap. His contributions signal a promising trajectory in interdisciplinary research bridging human-computer interaction, design studies, and robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2