SangKeun Lee
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computer Networks and Communications top 5%
- Computer Vision and Pattern Recognition top 10%
- Sociology and Political Science
- Co-authors
- Sang‐goo LeeMinsuk KahngKang-Min KimJung‐Hyun LeeChong‐Sun HwangM.H. HayesSung Eun ParkKun‐Lung Wu
- Topics
- Topic Modeling (20 papers)Natural Language Processing Techniques (12 papers)Caching and Content Delivery (12 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
SangKeun Lee
80 papers receiving 614 citations
Peers
Comparison fields: 5 of 78
- Artificial Intelligence 329
- Information Systems 232
- Computer Networks and Communications 210
- Computer Vision and Pattern Recognition 106
- Sociology and Political Science 84
Countries citing papers authored by SangKeun Lee
This map shows the geographic impact of SangKeun 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 SangKeun Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites SangKeun Lee more than expected).
Fields of papers citing papers by SangKeun Lee
This network shows the impact of papers produced by SangKeun 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 SangKeun Lee. The network helps show where SangKeun Lee may publish in the future.
Co-authorship network of co-authors of SangKeun Lee
This figure shows the co-authorship network connecting the top 25 collaborators of SangKeun Lee. A scholar is included among the top collaborators of SangKeun 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 SangKeun Lee. SangKeun 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 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 10 | |
| 8 | 3 | |
| 9 | 0 | |
| 10 | 8 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | Learning to Generate Word Representations using Subword Information | 14 |
| 14 | 1 | |
| 15 | 0 | |
| 16 | Design and Implementation of Mobile Ad-hoc Networks Communications System for Emergency Rescue | 0 |
| 17 | 5 | |
| 18 | 3 | |
| 19 | 3 | |
| 20 | Studies on the development of cocoon pupas for food materials | 3 |
About SangKeun Lee
SangKeun Lee is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications, having authored 92 papers that have together received 670 indexed citations. Recurring topics across this work include Topic Modeling (20 papers), Natural Language Processing Techniques (12 papers) and Caching and Content Delivery (12 papers). The work is most often cited by research in Information Systems (232 citations), Artificial Intelligence (329 citations) and Computer Networks and Communications (210 citations). SangKeun Lee has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Sang‐goo Lee, Minsuk Kahng, Kang-Min Kim, Jung‐Hyun Lee, Chong‐Sun Hwang, M.H. Hayes, Sung Eun Park, Kun‐Lung Wu, Sungchan Park and Masaru Kitsuregawa. Their work appears in journals such as Expert Systems with Applications, Pharmacology & Therapeutics and Information Sciences.
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.