Yongyoon Suh
Papers
1
Total Citations
4
H-Index
1
About
Yongyoon Suh is a researcher whose work centers on the intersection of innovation analytics and technology forecasting, with a particular focus on robotics and patent analysis. His most-cited paper, "Identifying Core Robot Technologies by Analyzing Patent Co-classification Information" (2019), has garnered 4 citations and exemplifies his approach to using data-driven methods—specifically patent co-classification—to map technological landscapes and pinpoint foundational innovations. This contribution is significant for helping researchers and industry stakeholders understand which technologies drive progress in robotics, enabling more strategic R&D decisions. Suh’s work demonstrates a commitment to bridging the gap between raw patent data and actionable insights, offering a systematic way to identify core technologies that shape emerging fields. While his citation count is modest, his methodology holds practical value for technology management and policy, making his research a useful reference for those exploring patent-based innovation analysis. Through this focused study, Suh contributes to a growing body of literature that leverages bibliometric and patent data to guide technological development.
Research Focus
Key Achievements
Top Papers
- 1