Lee Sang-Hoon
Papers
1
Total Citations
4
H-Index
1
About
Lee Sang-Hoon is a researcher whose work lies at the intersection of robotics, intellectual property analysis, and innovation strategy. His primary research area focuses on leveraging patent data to map and understand the technological landscape of robotics, with a particular emphasis on identifying core technologies through co-classification analysis. His most notable contribution, the 2019 paper "Identifying Core Robot Technologies by Analyzing Patent Co-classification Information," has garnered 4 citations, establishing a foundational method for systematically extracting key technological clusters from complex patent networks. This work provides a data-driven framework for researchers and policymakers to discern which robotic subfields are most central to industry advancement. By applying bibliometric and network analysis techniques to patent databases, Lee Sang-Hoon offers a unique perspective on how technological trajectories emerge and evolve. His research is particularly valuable for students and professionals seeking to navigate the rapidly expanding robotics domain, as it bridges the gap between raw patent data and actionable strategic insights. Through his focused approach, he contributes to a more structured understanding of innovation dynamics in robotics.
Research Focus
Key Achievements
Top Papers
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