Cheongjae Lee
- Artificial Intelligence top 5%
- Social Psychology
- Information Systems
- Computer Vision and Pattern Recognition
- Control and Systems Engineering
- Co-authors
- Sangkeun JungKyungduk KimGary Geunbae LeeSeokhwan KimDonghyeon LeeMinwoo JeongGary LeeSung‐Jin Lee
- Topics
- Speech and dialogue systems (23 papers)Multi-Agent Systems and Negotiation (18 papers)Topic Modeling (13 papers)
- Journals
- IEEE Journal of Selected Topics in Signal ProcessingSpeech CommunicationComputer Speech & Language
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Cheongjae Lee
26 papers receiving 332 citations
Peers
Comparison fields: 5 of 43
- Artificial Intelligence 327
- Social Psychology 40
- Information Systems 23
- Computer Vision and Pattern Recognition 21
- Control and Systems Engineering 13
Countries citing papers authored by Cheongjae Lee
This map shows the geographic impact of Cheongjae 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 Cheongjae Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheongjae Lee more than expected).
Fields of papers citing papers by Cheongjae Lee
This network shows the impact of papers produced by Cheongjae 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 Cheongjae Lee. The network helps show where Cheongjae Lee may publish in the future.
Co-authorship network of co-authors of Cheongjae Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Cheongjae Lee. A scholar is included among the top collaborators of Cheongjae 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 Cheongjae Lee. Cheongjae 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 | Hybrid vector space model for flexible voice search | 1 |
| 3 | 5 | |
| 4 | 62 | |
| 5 | 3 | |
| 6 | 10 | |
| 7 | 17 | |
| 8 | 81 | |
| 9 | 9 | |
| 10 | 4 | |
| 11 | 8 | |
| 12 | Robust Dialog Management with N-Best Hypotheses Using Dialog Examples and Agenda | 13 |
| 13 | 8 | |
| 14 | An Integrated Dialog Simulation Technique for Evaluating Spoken Dialog Systems | 5 |
| 15 | 18 | |
| 16 | 5 | |
| 17 | 3 | |
| 18 | 0 | |
| 19 | 8 | |
| 20 | 2 |
About Cheongjae Lee
Cheongjae Lee is a scholar working on Artificial Intelligence, Information Systems and Pharmacy, having authored 28 papers that have together received 352 indexed citations. Recurring topics across this work include Speech and dialogue systems (23 papers), Multi-Agent Systems and Negotiation (18 papers) and Topic Modeling (13 papers). The work is most often cited by research in Artificial Intelligence (327 citations), Social Psychology (40 citations) and Human-Computer Interaction (9 citations). Cheongjae Lee has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Sangkeun Jung, Kyungduk Kim, Gary Geunbae Lee, Seokhwan Kim, Donghyeon Lee, Minwoo Jeong, Donghyeon Lee, Gary Lee, Sung‐Jin Lee and Seonghan Ryu. Their work appears in journals such as IEEE Journal of Selected Topics in Signal Processing, Speech Communication and Computer Speech & Language.
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.