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Chang Yung Lee

Korea University · 工学

研究室紹介

Professor Chang Yung Lee's research lab specializes in technology and innovation management, with a focus on leveraging data-driven approaches to analyze complex systems in technology and industry. The lab conducts large-scale patent analysis to anticipate technology-driven industry convergence, develop semantic methods for patent claim comparison, and apply network science to understand complex systems such as nuclear power plants. Their work bridges information science, network theory, and industrial innovation, emphasizing practical applications in technology forecasting, intellectual property analysis, and system safety. The lab integrates computational methods with real-world challenges in technology policy and engineering systems.

patent analysistechnology convergencenetwork centralitysemantic analysiscomplex systems

Research Overview

Papers
301
Total Citations
4,818
Papers (5y)
57
Primary Field
工学

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
57total
2022
2023
2024
2025
2026
Citations per year (5y)
502total
20222023202420252026

Selected Papers

15
1
Article|217 citations·2017
Early identification of emerging technologies: A machine learning approach using multiple patent indicators
Chang‐Yong Lee, Oh-Jin Kwon, Myeongjung Kim, Daeil Kwon
SJR Q1Technological Forecasting and Social ChangeOA
Management of Technology and InnovationBusiness, Management and Accounting
2
Article|180 citations·2014
Novelty-focused patent mapping for technology opportunity analysis
Chang‐Yong Lee, Bokyoung Kang, Juneseuk Shin
SJR Q1Technological Forecasting and Social Change
Management of Technology and InnovationBusiness, Management and Accounting
3
Article|129 citations·2011
A stochastic patent citation analysis approach to assessing future technological impacts
Chang‐Yong Lee, Yangrae Cho, Hyeonju Seol, Yongtae Park
SJR Q1Technological Forecasting and Social Change
Management of Technology and InnovationBusiness, Management and Accounting
4
Article|129 citations·2022
A convolutional neural network model for SOH estimation of Li-ion batteries with physical interpretability
Gyumin Lee, Daeil Kwon, Chang‐Yong Lee
SJR Q1Mechanical Systems and Signal Processing
Automotive EngineeringEngineering
5
Article|106 citations·2011
Monitoring trends of technological changes based on the dynamic patent lattice: A modified formal concept analysis approach
Chang‐Yong Lee, Jeonghwan Jeon, Yongtae Park
SJR Q1Technological Forecasting and Social Change
Management of Technology and InnovationBusiness, Management and Accounting
6
Article|105 citations·2020
A convolutional neural network model for abnormality diagnosis in a nuclear power plant
Gyumin Lee, Seung Jun Lee, Chang‐Yong Lee
SJR Q1Applied Soft Computing
Control and Systems EngineeringEngineering
7
Article|90 citations·2020
Navigating a product landscape for technology opportunity analysis: A word2vec approach using an integrated patent-product database
Chang‐Yong Lee, Daeseong Jeon, Joon Mo Ahn, Oh-Jin Kwon
SJR Q1Technovation
Management of Technology and InnovationBusiness, Management and Accounting
8
Article|89 citations·2018
Anticipating technological convergence: Link prediction using Wikipedia hyperlinks
Juram Kim, Seungho Kim, Chang‐Yong Lee
SJR Q1Technovation
Computer Science ApplicationsComputer Science
9
Article|83 citations·2008
Lap joint properties of FSWed dissimilar formed 5052 Al and 6061 Al alloys with different thickness
Chang‐Yong Lee, Wonbae Lee, Jong‐Woong Kim, Don-Hyun Choi, Yun-Mo Yeon, Seung‐Boo Jung
SJR Q1Journal of Materials Science
Mechanical EngineeringEngineering
10
Article|83 citations·2016
Stochastic technology life cycle analysis using multiple patent indicators
Chang‐Yong Lee, Juram Kim, Oh-Jin Kwon, Han‐Gyun Woo
SJR Q1Technological Forecasting and Social Change
Management of Technology and InnovationBusiness, Management and Accounting
11
Article|75 citations·2013
How to assess patent infringement risks: a semantic patent claim analysis using dependency relationships
Chang‐Yong Lee, Bomi Song, Yongtae Park
SJR Q2Technology Analysis and Strategic Management

We propose a semantic patent claim analysis that can examine patents for possible infringements and identify which needs to be manually perused. So far, numerous approaches have been devised to systemise this burden, but have not been useful in practice because of a lack of consideration of semi-structure of patent claim data and claim element-based procedure of adjudicating patent infringement. At the heart of our method is a hierarchical keyword vector for representing the dependency relations

Management of Technology and InnovationBusiness, Management and Accounting
12
Article|69 citations·2011
Homogenization and dimensional reduction of composite plates with in-plane heterogeneity
Chang‐Yong Lee, Wenbin Yu
SJR Q1International Journal of Solids and Structures
Mechanics of MaterialsEngineering
13
Article|68 citations·2022
State-of-health estimation of Li-ion batteries in the early phases of qualification tests: An interpretable machine learning approach
Gyumin Lee, Juram Kim, Chang‐Yong Lee
SJR Q1Expert Systems with Applications
Automotive EngineeringEngineering
14
Article|58 citations·2011
Evaluation of new service concepts using rough set theory and group analytic hierarchy process
Chang‐Yong Lee, Hakyeon Lee, Hyeonju Seol, Yongtae Park
SJR Q1Expert Systems with Applications
Computational Theory and MathematicsComputer Science
15
Review|56 citations·2021
A review of data analytics in technological forecasting
Chang‐Yong Lee
SJR Q1Technological Forecasting and Social Change
Management Science and Operations ResearchDecision Sciences

Research Areas

Management of Technology and InnovationElectrical and Electronic EngineeringArtificial IntelligenceMechanical EngineeringMechanics of MaterialsMolecular Biology

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