Oh‐Woog Kwon
- Artificial Intelligence top 10%
- Information Systems top 10%
- Computer Vision and Pattern Recognition
- Signal Processing
- Sociology and Political Science
- Co-authors
- Jong-Hyeok LeeHarksoo KimKey‐Sun ChoiJintae KimKiyoung LeeYoung-Gil KimKangil KimTeakgyu Hong
- Topics
- Natural Language Processing Techniques (17 papers)Topic Modeling (13 papers)Speech and dialogue systems (6 papers)
- Partner nations
- South Korea
In The Last Decade
Oh‐Woog Kwon
19 papers receiving 185 citations
Peers
Comparison fields: 5 of 51
- Artificial Intelligence 168
- Information Systems 97
- Computer Vision and Pattern Recognition 21
- Signal Processing 14
- Sociology and Political Science 12
Countries citing papers authored by Oh‐Woog Kwon
This map shows the geographic impact of Oh‐Woog Kwon'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 Oh‐Woog Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oh‐Woog Kwon more than expected).
Fields of papers citing papers by Oh‐Woog Kwon
This network shows the impact of papers produced by Oh‐Woog Kwon. 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 Oh‐Woog Kwon. The network helps show where Oh‐Woog Kwon may publish in the future.
Co-authorship network of co-authors of Oh‐Woog Kwon
This figure shows the co-authorship network connecting the top 25 collaborators of Oh‐Woog Kwon. A scholar is included among the top collaborators of Oh‐Woog Kwon 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 Oh‐Woog Kwon. Oh‐Woog Kwon 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 | 4 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 17 | |
| 8 | 11 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 3 | |
| 12 | 3 | |
| 13 | 3 | |
| 14 | Customizing an English-Korean Machine Translation System for Patent/Technical Documents Translation | 2 |
| 15 | What is Needed the Most in MT-Supported Paper Writing | 1 |
| 16 | How to Overcome the Domain Barriers in Pattern-Based Machine Translation System | 0 |
| 17 | Recognizing Coordinate Structures for Machine Translation of English Patent Documents | 1 |
| 18 | Construction of English-Korean Automatic Translation System for Patent Documents Based on Domain Customizing Method | 1 |
| 19 | 89 | |
| 20 | 43 |
About Oh‐Woog Kwon
Oh‐Woog Kwon is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, having authored 23 papers that have together received 209 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (17 papers), Topic Modeling (13 papers) and Speech and dialogue systems (6 papers). The work is most often cited by research in Artificial Intelligence (168 citations), Information Systems (97 citations) and Health Informatics (4 citations). Oh‐Woog Kwon has collaborated with scholars based in South Korea. Frequent co-authors include Jong-Hyeok Lee, Harksoo Kim, Key‐Sun Choi, Jintae Kim, Kiyoung Lee, Young-Gil Kim, Kangil Kim, Teakgyu Hong, Eun‐Jin Park and Hong‐Jin Kim. Their work appears in journals such as IEEE Access, Applied Sciences and Information Processing & Management.
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.