Journal Publications

S. Jun (2021) "Machines Imitating Human Thinking Using Bayesian Learning and Bootstrap", Symmetry, 13(3), 389. (SCIE, Impact Factor: 2.645)
S. Jun (2021) "Technology Integration and Analysis Using Boosting and Ensemble", Journal of Open Innovation: Technology, Market, and Complexity, 7(1), 27. (SCOPUS)
M. Choi, S. Jun(*) (2020) "Fire Risk Assessment Models Using Statistical  Machine Learning and Optimized Risk Indexing", Applied Sciences, Vol. 10(12), 4199. (SCIE, Impact Factor: 2.217)

S. Park, S. Jun(*) (2020)  "Patent Keyword Analysis of Disaster Artificial Intelligence Using Bayesian Network Modeling and Factor Analysis", Sustainability,  Vol. 12, pp. 505. (SSCI, Impact Factor: 2.592)

D. Uhm, J. Ryu, S. Jun(*) (2020) "Patent Data Analysis of Artificial Intelligence Using Bayesian Interval Estimation", Applied Sciences, Vol. 10, pp. 570. (SCIE, Impact Factor: 2.217)

S. Park, S. Jun (*) (2020) "Technological Cognitive Diagnosis Model for Patent Keyword Analysis", ICT Express,Vol. 6, pp. 57-61.  (SCIE, Impact Factor: 1.498)

S. Jun (2019) "Bayesian Structural Time Series and Regression Modeling for Sustainable Technology Management", Sustainability,  11(18) 4945. (SSCI, Impact Factor: 2.592)

J.-M. Kim, J. Yoon, S. Y. Hwang, S. Jun(*) (2019) "Patent Keyword Analysis Using Time Series and Copula Models", Applied Science 9(19) 4071. (SCIE,  Impact Factor: 2.217)

J. Kim, B. Sun, S. Jun(*) (2019) "Sustainable Technology Analysis Using Data Envelopment Analysis and State Space Models", Sustainability,  11(13) 3597. (SSCI, Impact Factor: 2.592)

J.-M. Kim, N.-K. Kim, Y. Jung, S. Jun(*) (2019)  "Patent data analysis using functional count data model", Soft Computing, Vol. 23, Iss. 18, pp. 8815–8826.  (SCIE, Impact Factor: 2.367)

S. Jun (2018) "Bayesian Count Data Modeling for Finding Technological Sustainability", Sustainability,  10(9) 3220 (SSCI, Impact Factor: 2.075)

J. Lee, J. Kang, S. Jun, H. Lim, D. Jang, S. Park(*) (2018) "Ensemble Modeling for Sustainable Technology Transfer", Sustainability, Vol. 10, No. 7, pp. 2278. (SSCI, Impact Factor: 2.075)

S. Jun, J. Wood, S. Park(*) (2018) "Multivariate Multiple Regression Modeling for Technology Analysis," Technology Analysis & Strategic Management, Vol. 30, Iss. 3, pp. 311-323. (SSCI, Impact Factor: 1.490)

J. Kim, S. Jun, D. Jang, S. Park(*) (2018) "Sustainable Technology Analysis of Artificial Intelligence Using Bayesian and Social Network Models", Sustainability, Vol. 10, No. 1, pp. 115. (SSCI, Impact Factor: 1.789)

D. Uhm, J. Ryu, S. Jun(*) (2017) "An Interval Estimation Method of Patent Keyword Data for Sustainable Technology Forecasting", Sustainability, Vol. 9, No. 11, pp. 2025. (SSCI, Impact Factor: 1.789)

J.-M. Kim, S. Jun(*), (2017) "Integer-Valued GARCH Processes for Apple Technology Analysis,"  Industrial Management & Data Systems, Vol. 117, No. 10, pp. 2381-2399. (SCIE, Impact Factor: 2.205)

J. Kim, S. Jun, D. Jang, S. Park(*), (2017) "An Integrated Social Network Mining for Product-based Technology Analysis of Apple,"  Industrial Management & Data Systems, Vol. 117, No. 10, pp. 2417-2430. (SCIE, Impact Factor: 2.205)

S. Park, S. Jun(*) (2017) "Technology Analysis of Global Smart Light Emitting Diode (LED) Development Using Patent Data," Sustainability, Vol. 9, 1363, (SSCI, Impact Factor: 1.789)

J. Kim, J. Ryu, S. Lee, S. Jun(*) (2017) “Penalized Regression Models for Patent Keyword Analysis,” Model Assisted Statistics and Applications-International Journal, 12. pp. 239-244. (SCOPUS)

J.-M. Kim, D.-M. Im, S. Jun(*), (2017) "Factor Analysis and Structural Equation Model for Patent Analysis: Case Study of Apple Technology,"  Technology Analysis & Strategic Management, Vol. 29, No. 7, pp. 717-734. (SSCI, Impact Factor: 1.273)

S. Park, S. Lee, S. Jun(*), (2017) "Patent Big Data Analysis using Fuzzy Learning," International Journal of Fuzzy Systems, Vol. 19, Iss. 4, pp 1158–1167. (SCIE, Impact Factor: 2.198)

S. Park, S. Jun(*) (2017) "Statistical Technology Analysis for Competitive Sustainability of Three Dimensional Printing," Sustainability, Vol. 9, 1142, (SSCI, Impact Factor: 1.789)

J.-M. Kim, S. Jun(*), (2016) "Zero-Inflated Poisson and Negative Binomial Regressions for Technology Analysis," International Journal of Software Engineering and Its Applications, Vol. 10, No. 12, pp. 431-448. (SCOPUS)

J Choi, S. Jun, S. Park(*), (2016) "A Patent Analysis for Sustainable Technology Management" Sustainability, Vol. 8, No. 8, 688. (SSCI, Impact Factor: 1.789)

J. Ryu, S. Jun (*), (2016) "A Superpopulation Model for Patent Big Data Analysis," International Journal of Software Engineering and Its Applications, Vol. 10, No. 7, pp. 153-162. (SCOPUS)

S. Jun, S. Park, (2016) “Examining technological competition between BMW and Hyundai in the Korean car market,” Technology Analysis & Strategic Management, Vol. 28, Iss. 2, pp. 156-175. (SSCI)

S. Park, J. Kim, D. Jang, H. Lee, S. Jun(*) (2016) "Methodology of Technological Evolution for Three-dimensional Printing," Industrial Management & Data Systems, Vol. 116, No. 1, pp. 122-146. (SCIE)

S. Kim,  D. Jang,  S. Jun, S. Park(*) (2015) "A Novel Forecasting Methodology for Sustainable Management of Defense Technology" Sustainability, Vol 7, No. 12, 16720-16736. (SSCI, SCIE)

J. Choi, D. Jang, S. Jun, S. Park(*) (2015) "A Predictive Model of Technology Transfer using Patent Analysis,"  Sustainability, Vol. 7, No. 12, pp. 16175-16195. (SSCI, SCIE)

J.-M. Kim, S. Jun(*), (2015) "Graphical Causal Inference and Copula Regression Model for Apple Keywords by Text Mining," Advanced Engineering Informatics, Vol. 29, Iss. 4, pp. 918-929,(SCIE)

S. Park, S. Lee, S. Jun(*) (2015) "A Network Analysis Model for Selecting Sustainable Technology," Sustainability, Vol. 7, Iss. 10, pp. 13126-13141, (SSCI, SCIE)

S. Jun, S. J. Lee, J. B. Ryu, S. Park, (2015) "A novel method of IP R&D using patent analysis and expert survey," Queen Mary Journal of Intellectual Property, Vol. 5, No. 4, pp. 474-494. (SSCI)

S. Jun, S. Lee, J. Ryu, (2015) "A Divided Regression Analysis for Big Data", International Journal of Software Engineering and Its Applications,Vol. 9, No. 5, pp. 21-32. (SCOPUS)

S. Jun, S. Park, D. Jang, (2015) "A Technology Valuation Model Using Quantitative Patent Analysis: A Case Study of Technology Transfer in Big Data Marketing," Emerging Markets Finance and Trade, Vol. 51, Iss. 5, pp. 963-974. (SSCI)

S. Jun, (2015) "Patent Statistics for Technology Analysis", International Journal of Software Engineering and Its Applications,Vol. 9, No. 5, pp. 155-164. (SCOPUS)

S. Jun, (2014) “Technology Forecasting of Green Energy Using Patent Analysis and Simulation Modeling,” Advanced Materials Research, Vol. 875-877, pp. 1619-1624. (SCOPUS)

S. Jun, S. Park, D. Jang, (2014) “Document Clustering Method Using Dimension Reduction and Support Vector Clustering to Overcome Sparseness,” Expert Systems with Applications, Vol. 41, Iss. 7, pp. 3204-3212. (SCIE)

S. Jun, (2014) “A Technology Forecasting Method Using Text Mining and Visual Apriori Algorithm,” Applied Mathematics & Information Sciences-An International Journal, No. 1L, pp. 35-40. (SCIE)

S. Choi, S. Jun(*), (2014) “Vacant technology forecasting using new Bayesian patent clustering,” Technology Analysis & Strategic Management, Vol. 26, Iss. 3, pp. 241-251. (SSCI)

S. Jun, S. Park, (2013) "Examining Technological Innovation of Apple Using Patent Analysis," Industrial Management & Data Systems, Vol. 113, Iss. 6, pp. 890-907. (SCIE)

S. Jun, (2013) “Technology forecasting using patent analysis based on cross-impact,” Information – An International Interdisciplinary Journal, Vol. 16, No. 6(B), pp. 3853-3864. (SCIE)
S. Jun, D. Uhm (2013) "A Predictive Model for Patent Registration Time Using Survival Analysis," Applied Mathematics & Information Sciences, Vol. 7, No. 5, 1819-1823. (SCIE)

S. Park, S. Jun(*), (2013) “A Technology Forecasting Model Using Support Vector Clustering and Voting Approach,” Information – An International Interdisciplinary Journal, Vol. 16, No. 2(B), pp. 1523-1528. (SCIE)
S. Jun, (2013) "A New Patent Analysis Using Association Rule Mining and Box-Jenkins Modeling for Technology Forecasting,"  Information-An International Interdisciplinary Journal, Vol.16, No.1(B), pp.555-562 (SCIE)

S. Jun, (2012) “Central technology forecasting using social network analysis,” Communications in Computer and Information Science, Springer, Vol. 340, pp. 1-8. (Scopus)
S. Jun, (2012) “Technology network model using bipartite social network analysis,” Communications in Computer and Information Science, Springer, Vol. 340, pp. 28-35. (Scopus)
S. Jun, D. Jang, S. Park (2012) “Patent Management for Technology Forecasting: A Case Study of Bio-Industry,” Journal of Intellectual Property Rights, Vol. 17(6), pp. 539-546. (SSCI)

S. Jun, S. Park, D. Jang (2012) “Technology Forecasting using Matrix Map and Patent Clustering,” Industrial Management & Data Systems, Vol. 112, Iss. 5, pp. 786-807 (SCIE)

S. Jun, S, Lee, (2012) “Emerging Technology Forecasting Using New Patent Information Analysis,” International Journal of Software Engineering and Its Application, vol. 6, no. 3, pp. 107-115. (Scopus)
S. Park, S. Jun (2012) "New Technology Management Using Time Series Regression and Clustering," International Journal of Software Engineering and Its Applications, Vol. 6, No. 2, pp. 155-160 (Scopus)

S. Jun (2011) “A Forecasting Model for Technological Trend Using Unsupervised Learning,” Communications in Computer and Information Science, Vol. 258, pp. 51-60 (Scopus)
S. Jun (2011) “IPC code Analysis of Patent Documents Using Association Rules and Maps - Patent Analysis of Database Technology,” Communications in Computer and Information Science, Vol. 258, pp. 21-30 (Scopus)