SeungGwan Lee
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Information Systems
- Co-authors
- Sungwon LeeTaeChoong ChungDaeho LeeS. K. ChoiChoong Seon HongNgo Anh VienSung Hoon KimQuang Dang Nguyen
- Topics
- Caching and Content Delivery (4 papers)Software-Defined Networks and 5G (3 papers)Video Analysis and Summarization (3 papers)
- Cited by
- Computer Networks and CommunicationsComputer Vision and Pattern RecognitionIndustrial and Manufacturing Engineering
- Partner nations
- South KoreaVietnamGermany
In The Last Decade
SeungGwan Lee
31 papers receiving 286 citations
Peers
Comparison fields: 5 of 86
- Computer Networks and Communications 96
- Computer Vision and Pattern Recognition 79
- Electrical and Electronic Engineering 53
- Artificial Intelligence 42
- Information Systems 39
Countries citing papers authored by SeungGwan Lee
This map shows the geographic impact of SeungGwan 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 SeungGwan Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites SeungGwan Lee more than expected).
Fields of papers citing papers by SeungGwan Lee
This network shows the impact of papers produced by SeungGwan 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 SeungGwan Lee. The network helps show where SeungGwan Lee may publish in the future.
Co-authorship network of co-authors of SeungGwan Lee
This figure shows the co-authorship network connecting the top 25 collaborators of SeungGwan Lee. A scholar is included among the top collaborators of SeungGwan 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 SeungGwan Lee. SeungGwan 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 | 9 | |
| 2 | 13 | |
| 3 | 17 | |
| 4 | 22 | |
| 5 | 8 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 10 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 4 | |
| 12 | 22 | |
| 13 | 6 | |
| 14 | 3 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | 38 | |
| 18 | 12 | |
| 19 | 15 | |
| 20 | 7 |
About SeungGwan Lee
SeungGwan Lee is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Toxicology, having authored 31 papers that have together received 305 indexed citations. Recurring topics across this work include Caching and Content Delivery (4 papers), Software-Defined Networks and 5G (3 papers) and Video Analysis and Summarization (3 papers). The work is most often cited by research in Computer Networks and Communications (96 citations), Computer Vision and Pattern Recognition (79 citations) and Industrial and Manufacturing Engineering (19 citations). SeungGwan Lee has collaborated with scholars based in South Korea, Vietnam and Germany. Frequent co-authors include Sungwon Lee, TaeChoong Chung, Daeho Lee, S. K. Choi, Choong Seon Hong, Ngo Anh Vien, Sung Hoon Kim, Quang Dang Nguyen, Sung-Won Lee and Hee Kang. Their work appears in journals such as PLoS ONE, Nutrients and Medicine.
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.