Jeonghwan Jeon
Papers
2
Total Citations
21
H-Index
2
About
Jeonghwan Jeon is a researcher whose work sits at the critical intersection of robotics and decision science, with a particular focus on advancing agricultural technology. His most prominent contribution, the 2023 study "A perspective study for the assessment of field robots in agriculture: An enhanced fuzzy MADM approach," has already garnered 17 citations, reflecting its timely relevance in evaluating and selecting robotic systems for farming applications. By integrating fuzzy multi-attribute decision-making (MADM) methods, Jeon provides a robust framework for assessing field robots—a vital tool for researchers and practitioners navigating the complexities of agricultural automation. In earlier work, he demonstrated a keen analytical eye in "Identifying Core Robot Technologies by Analyzing Patent Co-classification Information" (2019), using patent data to map the foundational technologies driving robotics innovation. This dual focus—combining patent analysis with practical evaluation methodologies—positions Jeon as a thoughtful contributor to the strategic development of robotics. His research not only aids in technology assessment but also helps shape the future of smart agriculture, making his work essential reading for students and engineers seeking to understand how robots can be effectively deployed in real-world, unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2