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Byungun Yoon

Researcher at Dongguk University

Publications -  144
Citations -  6187

Byungun Yoon is an academic researcher from Dongguk University. The author has contributed to research in topics: Computer science & Technology roadmap. The author has an hindex of 29, co-authored 123 publications receiving 4731 citations. Previous affiliations of Byungun Yoon include Ajou University & Seoul National University.

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Open innovation in SMEs—An intermediated network model

TL;DR: In this article, the authors place the concept of open innovation in the context of SMEs, suggest the input of an intermediary in facilitating innovation, and report accounts of Korean SMEs' success in working with an intermediary.
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A text-mining-based patent network: Analytical tool for high-technology trend

TL;DR: A network-based analysis is proposed, an alternative method for citation analysis that provides richer information and thus enables deeper analysis since it takes more diverse keywords into account and produces more meaningful indexes.
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An approach to discovering new technology opportunities: Keyword-based patent map approach

TL;DR: Text mining is used to transform patent documents into structured data to identify keyword vectors and principal component analysis is employed to reduce the numbers of keyword vectors to make suitable for use on a two-dimensional map.
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Convergence of blockchain and artificial intelligence in IoT network for the sustainable smart city

TL;DR: This paper provides a comprehensive literature review of the security issues and problems that impact the deployment of blockchain systems in smart cities, and presents a detailed discussion of several key factors for the convergence of Blockchain and AI technologies that will help form a sustainable smart society.
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A systematic approach for identifying technology opportunities: Keyword-based morphology analysis

TL;DR: A keyword-based MA is proposed that is supported by a systematic procedure and quantitative data for concluding the morphology of technology and technical and managerial strategy for in-house R&D or cross-licensing can be supported by examining the morphology portfolio of technologies.