Chulhyun Kim
Papers
1
Total Citations
4
H-Index
1
About
Chulhyun Kim is a researcher whose work centers on the intersection of technology foresight, patent analysis, and innovation strategy. His primary research area involves using quantitative methods—particularly patent co-classification analysis—to map the technological landscape and identify core, emerging technologies. Kim’s major contribution lies in developing systematic frameworks for extracting actionable intelligence from large-scale patent data, enabling more informed decision-making in R&D planning and policy. His most-cited paper, “Identifying Core Robot Technologies by Analyzing Patent Co-classification Information” (2019), exemplifies this approach by demonstrating how network analysis of patent classifications can reveal foundational technologies in robotics, a field of strategic importance. Though his citation count is modest, this work has provided a replicable methodology for researchers and practitioners seeking to understand technological convergence and prioritize investment in key areas. Kim’s research is particularly valuable for students and scholars in innovation management, technology assessment, and science and technology studies, offering a data-driven lens through which to navigate the complex dynamics of technological change. His ongoing contributions continue to shape how we identify and evaluate the building blocks of future industries.
Research Focus
Key Achievements
Top Papers
- 1