Jeong-Won Cha
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Information Systems top 10%
- Computer Vision and Pattern Recognition
- Mechanical Engineering
- Co-authors
- Gary Geunbae LeeJong-Hyeok LeeSeokhwan KimYo-Sub HanKyungduk KimJoy LaskarJungyun SeoDongseok Kim
- Topics
- Natural Language Processing Techniques (17 papers)Topic Modeling (15 papers)Speech and dialogue systems (7 papers)
- Journals
- SensorsIEEE Transactions on Microwave Theory and TechniquesInformation Processing & Management
- Partner nations
- South KoreaUnited StatesFrance
In The Last Decade
Jeong-Won Cha
30 papers receiving 259 citations
Peers
Comparison fields: 5 of 38
- Artificial Intelligence 203
- Electrical and Electronic Engineering 70
- Information Systems 45
- Computer Vision and Pattern Recognition 16
- Mechanical Engineering 11
Countries citing papers authored by Jeong-Won Cha
This map shows the geographic impact of Jeong-Won Cha'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 Jeong-Won Cha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeong-Won Cha more than expected).
Fields of papers citing papers by Jeong-Won Cha
This network shows the impact of papers produced by Jeong-Won Cha. 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 Jeong-Won Cha. The network helps show where Jeong-Won Cha may publish in the future.
Co-authorship network of co-authors of Jeong-Won Cha
This figure shows the co-authorship network connecting the top 25 collaborators of Jeong-Won Cha. A scholar is included among the top collaborators of Jeong-Won Cha 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 Jeong-Won Cha. Jeong-Won Cha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 14 | |
| 4 | Korean Language Resources for Everyone | 9 |
| 5 | 2 | |
| 6 | 1 | |
| 7 | A CMOS Radio-Frequency Front-End for Multi-Standard Wireless Communications. | 1 |
| 8 | Computing user reputation in a social network of web 2.0 | 10 |
| 9 | 0 | |
| 10 | High Speed Korean Dependency Analysis Using Cascaded Chunking | 5 |
| 11 | 5 | |
| 12 | Comments Classification System using Topic Signature | 2 |
| 13 | A Joint Statistical Model for Word Spacing and Spelling Error Correction Simultaneously | 4 |
| 14 | 26 | |
| 15 | 7 | |
| 16 | 2 | |
| 17 | SiteQ: Engineering high performance QA system using lexico-semantic pattern matching and shallow NLP | 60 |
| 18 | POSCAT: A Morpheme-based Speech Corpus Annotation Tool. | 2 |
| 19 | 1 | |
| 20 | Generalized unknown morpheme guessing for hybrid POS tagging of Korean | 17 |
About Jeong-Won Cha
Jeong-Won Cha is a scholar working on Artificial Intelligence, Information Systems and Statistics, Probability and Uncertainty, having authored 33 papers that have together received 290 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (17 papers), Topic Modeling (15 papers) and Speech and dialogue systems (7 papers). The work is most often cited by research in Artificial Intelligence (203 citations), Information Systems (45 citations) and Electrical and Electronic Engineering (70 citations). Jeong-Won Cha has collaborated with scholars based in South Korea, United States and France. Frequent co-authors include Gary Geunbae Lee, Jong-Hyeok Lee, Seokhwan Kim, Yo-Sub Han, Kyungduk Kim, Joy Laskar, Jungyun Seo, Dongseok Kim, Seungwoo Lee and Harksoo Kim. Their work appears in journals such as Sensors, IEEE Transactions on Microwave Theory and Techniques 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.