Jun‐Ki Min
Impact in
- Signal Processing top 2%
- Data Management and Algorithms
-
- Advanced Database Systems and Queries
- Energy Efficient Wireless Sensor Networks
Papers in
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- Advanced Database Systems and Queries 18
- Energy Efficient Wireless Sensor Networks 9
- Advanced Data Storage Technologies 6
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- Data Management and Algorithms 21
- Co-authors
- Chin‐Wan Chung (20 shared papers)Kyuseok Shim (10 shared papers)Sung‐Bae Cho (9 shared papers)Jin-Hyuk Hong (3 shared papers)Jason Wiese (3 shared papers)Jason Hong (3 shared papers)John Zimmerman (3 shared papers)Ji–Hyun Lee (3 shared papers)
- Journals
- Information Sciences (5 papers)Journal of Systems and Software (5 papers)Proceedings of the VLDB Endowment (3 papers)Information and Software Technology (3 papers)Expert Systems with Applications (2 papers)
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Jun‐Ki Min
78 papers receiving 926 citations
Peers
Comparison fields: 5 of 101
- Signal Processing 405
- Computer Networks and Communications 453
- Artificial Intelligence 341
- Geography, Planning and Development 46
- Transportation 56
Countries citing papers authored by Jun‐Ki Min
This map shows the geographic impact of Jun‐Ki Min'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 Jun‐Ki Min with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun‐Ki Min more than expected).
Fields of papers citing papers by Jun‐Ki Min
This network shows the impact of papers produced by Jun‐Ki Min. 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 Jun‐Ki Min. The network helps show where Jun‐Ki Min may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun‐Ki Min, 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 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 145 | |
| 2 | 2007 | 92 | |
| 3 | 2013 | 81 | |
| 4 | 2003 | 78 | |
| 5 | 2013 | 53 | |
| 6 | 2015 | 34 | |
| 7 | 2011 | 29 | |
| 8 | 2002 | 27 | |
| 9 | 2013 | 25 | |
| 10 | 2013 | 24 | |
| 11 | 2017 | 22 | |
| 12 | 2009 | 20 | |
| 13 | 2016 | 20 | |
| 14 | 2020 | 19 | |
| 15 | 2010 | 18 | |
| 16 | 2008 | 16 | |
| 17 | 2021 | 15 | |
| 18 | 2015 | 14 | |
| 19 | 2009 | 13 | |
| 20 | 2016 | 12 |
About Jun‐Ki Min
Jun‐Ki Min is a scholar working on Computer Networks and Communications, Signal Processing, Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 86 papers that have together received 999 indexed citations. Recurring topics across this work include Data Management and Algorithms (21 papers), Advanced Database Systems and Queries (18 papers), Energy Efficient Wireless Sensor Networks (9 papers), Semantic Web and Ontologies (7 papers), Data Mining Algorithms and Applications (7 papers), Algorithms and Data Compression (7 papers), 3D IC and TSV technologies (6 papers) and Advanced Data Storage Technologies (6 papers). The work is most often cited by research in Signal Processing (405 citations), Computer Networks and Communications (453 citations), Artificial Intelligence (341 citations), Geography, Planning and Development (46 citations) and Transportation (56 citations). Jun‐Ki Min has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Chin‐Wan Chung, Kyuseok Shim, Sung‐Bae Cho, Jin-Hyuk Hong, Jason Wiese, Jason Hong, John Zimmerman, Ji–Hyun Lee, Rao Tummala and P. Markondeya Raj. Their work appears in journals such as Information Sciences, Journal of Systems and Software, Proceedings of the VLDB Endowment, Information and Software Technology and Expert Systems with Applications.
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.