Sang-Woo Lee
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Economics and Econometrics
- Visual Arts and Performing Arts top 5%
- Urban Studies top 10%
- Co-authors
- Byoung‐Tak ZhangJung-Woo HaJae-Hyun JunJin-Hwa KimDavid WatermanSungdong KimMinsuk ChangDong‐Geol Choi
- Topics
- Topic Modeling (8 papers)Multimodal Machine Learning Applications (6 papers)Natural Language Processing Techniques (5 papers)
- Cited by
- Visual Arts and Performing ArtsComputer Vision and Pattern RecognitionArtificial Intelligence
- Partner nations
- South KoreaUnited States
In The Last Decade
Sang-Woo Lee
17 papers receiving 203 citations
Peers
Comparison fields: 5 of 58
- Artificial Intelligence 147
- Computer Vision and Pattern Recognition 96
- Economics and Econometrics 28
- Visual Arts and Performing Arts 23
- Urban Studies 22
Countries citing papers authored by Sang-Woo Lee
This map shows the geographic impact of Sang-Woo 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 Sang-Woo Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sang-Woo Lee more than expected).
Fields of papers citing papers by Sang-Woo Lee
This network shows the impact of papers produced by Sang-Woo 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 Sang-Woo Lee. The network helps show where Sang-Woo Lee may publish in the future.
Co-authorship network of co-authors of Sang-Woo Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Sang-Woo Lee. A scholar is included among the top collaborators of Sang-Woo 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 Sang-Woo Lee. Sang-Woo 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 | 1 | |
| 2 | 7 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 11 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 11 | |
| 10 | 0 | |
| 11 | Answerer in Questioner's Mind for Goal-Oriented Visual Dialogue. | 3 |
| 12 | 2 | |
| 13 | 6 | |
| 14 | 120 | |
| 15 | National Wind Atlas Database and Visualization Based on IDL | 1 |
| 16 | 18 | |
| 17 | 3 | |
| 18 | 21 |
About Sang-Woo Lee
Sang-Woo Lee is a scholar working on Visual Arts and Performing Arts, Urban Studies and Computer Vision and Pattern Recognition, having authored 18 papers that have together received 217 indexed citations. Recurring topics across this work include Topic Modeling (8 papers), Multimodal Machine Learning Applications (6 papers) and Natural Language Processing Techniques (5 papers). The work is most often cited by research in Visual Arts and Performing Arts (23 citations), Computer Vision and Pattern Recognition (96 citations) and Artificial Intelligence (147 citations). Sang-Woo Lee has collaborated with scholars based in South Korea and United States. Frequent co-authors include Byoung‐Tak Zhang, Jung-Woo Ha, Jae-Hyun Jun, Jin-Hwa Kim, David Waterman, Sungdong Kim, Minsuk Chang, Dong‐Geol Choi, Jongchan Park and Seung-won Hwang. Their work appears in journals such as Neural Networks, IEEE Robotics and Automation Letters and Electronics.
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.