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Byungun Yoon

Byungun Yoon

D-Index & Metrics

Computer Science

D-Index
36
Citations
7123
World Ranking
11092
National Ranking
131

Overview

Byungun Yoon is affiliated with Dongguk University in South Korea and focuses primarily on research within the field of Computer Science. Their scholarly work spans various subfields including Artificial Intelligence, Information Systems, Computer Networks and Communications, Management of Technology and Innovation, and Computer Vision and Pattern Recognition.

Their published research covers key topics such as Intellectual Property and Patents, Blockchain Technology Applications and Security, IoT and Edge/Fog Computing, Technology Assessment and Management, Advanced Text Analysis Techniques, Innovation Diffusion and Forecasting, and Innovation and Knowledge Management.

Significant recent papers by Byungun Yoon include:

  • "Convergence of blockchain and artificial intelligence in IoT network for the sustainable smart city," 2020, Sustainable Cities and Society
  • "A framework for privacy-preservation of IoT healthcare data using Federated Learning and blockchain technology," 2021, Future Generation Computer Systems
  • "Blockchain Security Attacks, Challenges, and Solutions for the Future Distributed IoT Network," 2021, IEEE Access
  • "Improved Handwritten Digit Recognition Using Convolutional Neural Networks (CNN)," 2020, Sensors
  • "SMO-DNN: Spider Monkey Optimization and Deep Neural Network Hybrid Classifier Model for Intrusion Detection," 2020, Electronics

Frequent collaborators who have coauthored multiple works with Byungun Yoon include Saurabh Singh, Sunhye Kim, Hyejin Jang, Sparsh Sharma, and Kadiyala Ramana.

Their research has been published across several venues, predominantly in IEEE Access, Sensors, Expert Systems with Applications, Journal of Korean Institute of Industrial Engineers, and PLoS ONE.

Byungun Yoon's academic output reflects an integration of emerging technologies such as blockchain and artificial intelligence, with applications often targeting sustainable urban systems, healthcare privacy, IoT networks, and cybersecurity. The interdisciplinary nature of their work aligns with trends in technology management and innovation diffusion within the technology sector.

Best Publications

  • A text-mining-based patent network: Analytical tool for high-technology trend

    Byungun Yoon;Yongtae Park

  • An approach to discovering new technology opportunities: Keyword-based patent map approach

    Sungjoo Lee;Byungun Yoon;Yongtae Park

  • Convergence of blockchain and artificial intelligence in IoT network for the sustainable smart city

    Saurabh Singh;Pradip Kumar Sharma;Byungun Yoon;Mohammad Shojafar

  • A systematic approach for identifying technology opportunities: Keyword-based morphology analysis

    Byungun Yoon;Yongtae Park

  • Blockchain Security Attacks, Challenges, and Solutions for the Future Distributed IoT Network

    Saurabh Singh;A. S. M. Sanwar Hosen;Byungun Yoon

  • Business planning based on technological capabilities: Patent analysis for technology-driven roadmapping

    Sungjoo Lee;Sungjoo Lee;Byungun Yoon;Changyong Lee;Jinwoo Park

  • Improved Handwritten Digit Recognition Using Convolutional Neural Networks (CNN).

    Savita Ahlawat;Amit Choudhary;Anand Nayyar;Saurabh Singh

  • Development of New Technology Forecasting Algorithm: Hybrid Approach for Morphology Analysis and Conjoint Analysis of Patent Information

    Byungun Yoon;Yongtae Park

  • Morphology analysis for technology roadmapping: application of text mining

    Byungun Yoon;Rob Phaal;David Probert

  • On the development and application of a self–organizing feature map–based patent map

    Byung–Un Yoon;Chang–Byung Yoon;Yong–Tae Park

  • On the development of a technology intelligence tool for identifying technology opportunity

    Byungun Yoon

  • Development of patent roadmap based on technology roadmap by analyzing patterns of patent development

    Yujin Jeong;Byungun Yoon

  • Identifying and evaluating strategic partners for collaborative R&D: Index-based approach using patents and publications

    Youngjung Geum;Sungjoo Lee;Byungun Yoon;Yongtae Park

  • An evaluation method for designing a new product-service system

    Byungun Yoon;Sojung Kim;Jongtae Rhee

  • The idiosyncrasy and dynamism of technological innovation across industries: patent citation analysis

    Yongtae Park;Byungun Yoon;Sungjoo Lee

  • Exploring technological opportunities by linking technology and products: Application of morphology analysis and text mining

    Byungun Yoon;Inchae Park;Byoung-youl Coh

  • SMO-DNN: Spider Monkey Optimization and Deep Neural Network Hybrid Classifier Model for Intrusion Detection

    Neelu Khare;Preethi Devan;Chiranji Lal Chowdhary;Sweta Bhattacharya

  • Developing a process of concept generation for new product-service systems: a QFD and TRIZ-based approach

    Sojung Kim;Byungun Yoon

  • Technological opportunity discovery for technological convergence based on the prediction of technology knowledge flow in a citation network.

    Inchae Park;Byungun Yoon

  • Exploring technology opportunities by visualizing patent information based on generative topographic mapping and link prediction

    Byungun Yoon;Christopher L. Magee

  • A systematic approach of partner selection for open innovation

    Byungun Yoon;Bomi Song

  • Technology-driven roadmaps for identifying new product/market opportunities

    Gyungmi Jin;Yujin Jeong;Byungun Yoon

Frequent Co-Authors

Sungjoo Lee
Sungjoo Lee Seoul National University
Yongtae Park
Yongtae Park Seoul National University
Anand Nayyar
Anand Nayyar Duy Tan University
Mohammad Shojafar
Mohammad Shojafar University of Surrey
Amr Tolba
Amr Tolba King Saud University
Gaurav Dhiman
Gaurav Dhiman Jagat Guru Nanak Dev Punjab State Open University

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