Byung Suk Lee
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Signal Processing top 5%
- Ocean Engineering top 5%
- Statistics, Probability and Uncertainty top 5%
- Co-authors
- Jae-Gil LeeByongug JeongPeilin ZhouDaniel P. W. EllisSungsu LimGio WiederholdHwan KimWon-Yong Shin
- Topics
- Advanced Database Systems and Queries (17 papers)Data Management and Algorithms (14 papers)Complex Network Analysis Techniques (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEJournal of Hydrology
- Partner nations
- United StatesSouth KoreaUnited Kingdom
In The Last Decade
Byung Suk Lee
72 papers receiving 724 citations
Peers
Comparison fields: 5 of 112
- Artificial Intelligence 343
- Computer Networks and Communications 232
- Signal Processing 203
- Ocean Engineering 93
- Statistics, Probability and Uncertainty 77
Countries citing papers authored by Byung Suk Lee
This map shows the geographic impact of Byung Suk Lee'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 Byung Suk Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Byung Suk Lee more than expected).
Fields of papers citing papers by Byung Suk Lee
This network shows the impact of papers produced by Byung Suk Lee. 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 Byung Suk Lee. The network helps show where Byung Suk Lee may publish in the future.
Co-authorship network of co-authors of Byung Suk Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Byung Suk Lee. A scholar is included among the top collaborators of Byung Suk Lee 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 Byung Suk Lee. Byung Suk Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 14 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 7 | |
| 6 | 59 | |
| 7 | 1 | |
| 8 | 9 | |
| 9 | 6 | |
| 10 | 39 | |
| 11 | 16 | |
| 12 | 4 | |
| 13 | 1 | |
| 14 | 5 | |
| 15 | 6 | |
| 16 | 2 | |
| 17 | Chlamydial infection in women with tubal pregnancy. | 1 |
| 18 | Ad hoc Query Support for Very Large Scientific Data: the Metadata Approach. | 2 |
| 19 | The effects of transdermal estrogen replacement therapy on lipid metabolism in postmenopausal women. | 1 |
| 20 | The correlation between body composition and bone mineral density in pre-and postmenopausal women. | 1 |
About Byung Suk Lee
Byung Suk Lee is a scholar working on Signal Processing, Computer Networks and Communications and Artificial Intelligence, having authored 77 papers that have together received 772 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (17 papers), Data Management and Algorithms (14 papers) and Complex Network Analysis Techniques (10 papers). The work is most often cited by research in Signal Processing (203 citations), Statistics, Probability and Uncertainty (77 citations) and Artificial Intelligence (343 citations). Byung Suk Lee has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Jae-Gil Lee, Byongug Jeong, Peilin Zhou, Daniel P. W. Ellis, Sungsu Lim, Gio Wiederhold, Hwan Kim, Won-Yong Shin, X. Sean Wang and Zhen He. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Hydrology.
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.