Sunghae Jun
Impact in
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- Intellectual Property and Patents
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- Innovation Diffusion and Forecasting
Papers in
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- Intellectual Property and Patents 54
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- Advanced Clustering Algorithms Research 14
- Co-authors
- Sangsung Park (29 shared papers)Dong‐Sik Jang (9 shared papers)Jong‐Min Kim (8 shared papers)Seung-Joo Lee (7 shared papers)Ju Hwan Kim (2 shared papers)Sung‐Chul Kim (1 shared paper)Yoonsung Jung (1 shared paper)Jacob Wood (1 shared paper)
- Journals
- Sustainability (15 papers)Applied Sciences (6 papers)Industrial Management & Data Systems (5 papers)Technology Analysis and Strategic Management (4 papers)Electronics (2 papers)
- Partner nations
- South KoreaUnited StatesRussia
In The Last Decade
Sunghae Jun
104 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 115
- Management of Technology and Innovation 567
- Management Science and Operations Research 279
- Safety, Risk, Reliability and Quality 172
- Strategy and Management 212
- Economics and Econometrics 232
Countries citing papers authored by Sunghae Jun
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
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-authors
The 20 scholars most cited alongside Sunghae Jun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 95 | |
| 2 | 2013 | 94 | |
| 3 | 2013 | 70 | |
| 4 | 2015 | 48 | |
| 5 | 2013 | 44 | |
| 6 | 2015 | 40 | |
| 7 | 2018 | 40 | |
| 8 | 2011 | 36 | |
| 9 | Emerging Technology Forecasting Using New Patent Information Analysis | 2012 | 34 |
| 10 | 2015 | 28 | |
| 11 | 2020 | 27 | |
| 12 | 2015 | 27 | |
| 13 | 2016 | 25 | |
| 14 | 2016 | 24 | |
| 15 | 2015 | 22 | |
| 16 | 2016 | 21 | |
| 17 | Patent Management for Technology Forecasting: A Case Study of the Bio-Industry | 2012 | 20 |
| 18 | 2012 | 20 | |
| 19 | 2011 | 19 | |
| 20 | 2019 | 18 |
About Sunghae Jun
Sunghae Jun is a scholar working on Management of Technology and Innovation, Artificial Intelligence, Information Systems, Management Science and Operations Research and Strategy and Management, having authored 117 papers that have together received 1.2k indexed citations. Recurring topics across this work include Intellectual Property and Patents (54 papers), Innovation Diffusion and Forecasting (20 papers), Advanced Clustering Algorithms Research (14 papers), Innovation and Knowledge Management (13 papers), Technology and Data Analysis (12 papers), Face and Expression Recognition (10 papers), Technology Assessment and Management (10 papers) and Data Mining Algorithms and Applications (9 papers). The work is most often cited by research in Management of Technology and Innovation (567 citations), Management Science and Operations Research (279 citations), Safety, Risk, Reliability and Quality (172 citations), Strategy and Management (212 citations) and Economics and Econometrics (232 citations). Sunghae Jun has collaborated with scholars based in South Korea, United States and Russia. Frequent co-authors include Sangsung Park, Dong‐Sik Jang, Jong‐Min Kim, Seung-Joo Lee, Ju Hwan Kim, Sung‐Chul Kim, Yoonsung Jung, Jacob Wood, Jung-Hyun Lee and Sun Young Hwang. Their work appears in journals such as Sustainability, Applied Sciences, Industrial Management & Data Systems, Technology Analysis and Strategic Management and Electronics.
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.