Sunghae Jun

1.5k total citations
106 papers, 1.0k citations indexed

About

Sunghae Jun is a scholar working on Management of Technology and Innovation, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Sunghae Jun has authored 106 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Management of Technology and Innovation, 33 papers in Artificial Intelligence and 22 papers in Management Science and Operations Research. Recurrent topics in Sunghae Jun's work include Intellectual Property and Patents (51 papers), Innovation Diffusion and Forecasting (20 papers) and Advanced Clustering Algorithms Research (13 papers). Sunghae Jun is often cited by papers focused on Intellectual Property and Patents (51 papers), Innovation Diffusion and Forecasting (20 papers) and Advanced Clustering Algorithms Research (13 papers). Sunghae Jun collaborates with scholars based in South Korea, United States and Russia. Sunghae Jun's co-authors include Sangsung Park, Dong‐Sik Jang, Jong‐Min Kim, Seung-Joo Lee, Ju Hwan Kim, Sung‐Chul Kim, Jacob Wood, Jung-Hyun Lee, Yoonsung Jung and Seung Whan Kim and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Sustainability.

In The Last Decade

Sunghae Jun

93 papers receiving 935 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Sunghae Jun South Korea	18	465	239	208	176	174	106	1.0k
Martin G. Moehrle Germany	18	646 1.4×	207 0.9×	293 1.4×	360 2.0×	124 0.7×	61	1.1k
Hyeonju Seol South Korea	17	391 0.8×	223 0.9×	191 0.9×	266 1.5×	66 0.4×	38	1.0k
Sangsung Park South Korea	16	263 0.6×	144 0.6×	134 0.6×	110 0.6×	130 0.7×	76	673
Dong‐Sik Jang South Korea	16	190 0.4×	212 0.9×	90 0.4×	144 0.8×	118 0.7×	46	783
Kuei‐Kuei Lai Taiwan	21	374 0.8×	197 0.8×	250 1.2×	452 2.6×	140 0.8×	84	1.3k
Chie‐Bein Chen Taiwan	14	142 0.3×	514 2.2×	102 0.5×	308 1.8×	68 0.4×	32	968
Chulhyun Kim South Korea	11	143 0.3×	162 0.7×	105 0.5×	137 0.8×	156 0.9×	24	575
Ming‐Lu Wu Hong Kong	16	868 1.9×	777 3.3×	69 0.3×	292 1.7×	81 0.5×	30	1.8k
Bo K. Wong Hong Kong	13	80 0.2×	514 2.2×	109 0.5×	126 0.7×	283 1.6×	20	1.3k
Andreas C. Georgiou Greece	15	200 0.4×	390 1.6×	70 0.3×	96 0.5×	100 0.6×	47	873

Countries citing papers authored by Sunghae Jun

Since Specialization

Citations

This map shows the geographic impact of Sunghae Jun's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sunghae Jun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunghae Jun more than expected).

Fields of papers citing papers by Sunghae Jun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sunghae Jun. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sunghae Jun. The network helps show where Sunghae Jun may publish in the future.

Co-authorship network of co-authors of Sunghae Jun

This figure shows the co-authorship network connecting the top 25 collaborators of Sunghae Jun. A scholar is included among the top collaborators of Sunghae Jun based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sunghae Jun. Sunghae Jun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Jun, Sunghae. (2025). Patent Keyword Analysis Using Bayesian Factor Analysis and Social Network Visualization in Digital Therapy Technology. Computers. 14(3). 78–78.

Jun, Sunghae. (2024). Keyword Data Analysis Using Generative Models Based on Statistics and Machine Learning Algorithms. Electronics. 13(4). 798–798. 3 indexed citations

Park, Sangsung & Sunghae Jun. (2024). Patent Keyword Analysis Using Regression Modeling Based on Quantile Cumulative Distribution Function. Electronics. 13(21). 4247–4247.

Park, Sangsung & Sunghae Jun. (2023). Zero-Inflated Patent Data Analysis Using Compound Poisson Models. Applied Sciences. 13(7). 4505–4505. 4 indexed citations

Lee, Ju Hyun, et al.. (2022). A Study on Inferable Patent Evaluation Model using Ensemble Method. Journal of Korean institute of intelligent systems. 32(5). 379–385.

Park, Sangsung & Sunghae Jun. (2022). Patent Analysis Using Bayesian Data Analysis and Network Modeling. Applied Sciences. 12(3). 1423–1423. 9 indexed citations

Jun, Sunghae. (2021). Machines Imitating Human Thinking Using Bayesian Learning and Bootstrap. Symmetry. 13(3). 389–389. 2 indexed citations

Park, Sangsung, et al.. (2021). Text Data Analysis using Bayesian Quantile Regression and Multidimensional Scaling. Journal of Korean institute of intelligent systems. 31(2). 177–183. 2 indexed citations

Jun, Sunghae. (2020). AI Technology Analysis using Partial Least Square Regression. Journal of the Korea Society of Computer and Information. 25(3). 109–115. 1 indexed citations

10.

Park, Sangsung & Sunghae Jun. (2019). Technological cognitive diagnosis model for patent keyword analysis. ICT Express. 6(1). 57–61. 5 indexed citations

11.

Jun, Sunghae. (2014). An Efficient Connection between Statistical Software and Database Management System. 8(1).

12.

Jun, Sunghae. (2014). TECHNOLOGY ANALYSIS FOR INTERNET OF THINGS USING BIG DATA LEARNING. International Journal of Research in Engineering and Technology. 3(12). 314–318. 2 indexed citations

13.

Jun, Sunghae & Seung-Joo Lee. (2013). Patent Analysis Using Bayesian Network Models. International Journal of Software Engineering and Its Applications. 7(3). 205–212. 4 indexed citations

14.

Jun, Sunghae. (2013). A Technology Forecasting Method using Text Mining and Visual Apriori Algorithm. Applied Mathematics & Information Sciences. 8(1L). 35–40. 6 indexed citations

15.

Jun, Sunghae. (2013). A Big Data Learning for Patent Analysis. Journal of Korean institute of intelligent systems. 23(5). 406–411. 7 indexed citations

16.

Jun, Sunghae, et al.. (2012). Patent Management for Technology Forecasting: A Case Study of the Bio-Industry. Journal of Intellectual Property Rights. 17(6). 539–546. 20 indexed citations

17.

Park, Sangsung, et al.. (2012). A Study on Forecasting System of Patent Registration Based on Bayesian Network. Intelligent Information Management. 4(5). 284–290. 1 indexed citations

18.

Jun, Sunghae, et al.. (2012). New Technology Management Using Time Series Regression and Clustering. International Journal of Software Engineering and Its Applications. 6(2). 155–160. 11 indexed citations

19.

Jun, Sunghae, et al.. (2012). Emerging Technology Forecasting Using New Patent Information Analysis. International Journal of Software Engineering and Its Applications. 6(3). 107–116. 33 indexed citations

20.

Jun, Sunghae. (2008). An Outlier Data Analysis using Support Vector Regression. Journal of Korean institute of intelligent systems. 18(6). 876–880. 6 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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