Yifang Wang
Papers
1
Total Citations
13
H-Index
1
About
Yifang Wang is a researcher whose work lies at the intersection of human-robot interaction, education, and child development. Their most-cited paper, "Social robots supporting children’s learning and development: Bibliometric and visual analysis" (2023), has garnered 13 citations and provides a comprehensive mapping of this emerging field. Through this bibliometric study, Wang has helped clarify how social robots are being deployed to enhance educational outcomes and developmental milestones in young learners, identifying key trends, influential authors, and underexplored research gaps. This contribution is particularly valuable for educators, technologists, and developmental psychologists seeking evidence-based insights into the design and application of interactive robotic systems. Wang’s work underscores the potential of social robots to serve as adaptive, engaging tools in classrooms and therapeutic settings, while also highlighting the need for longitudinal studies and ethical considerations. By synthesizing a fragmented body of literature, Yifang Wang has laid a foundational roadmap for future research, positioning themselves as a thoughtful analyst of technology’s role in shaping childhood learning and growth.
Research Focus
Key Achievements
Top Papers
- 1