Youngwoon Lee
Impact in
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- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Image Retrieval and Classification Techniques
- Multimodal Machine Learning Applications
- Advanced Neural Network Applications
- Video Analysis and Summarization
Papers in
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- Advanced Image and Video Retrieval Techniques 6
- Advanced Image Processing Techniques 5
- Image Retrieval and Classification Techniques 4
- Advanced Vision and Imaging 4
- Robotic Path Planning Algorithms 3
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- Reinforcement Learning in Robotics 5
- Co-authors
- Jae‐Pil Heo (3 shared papers)Sung‐Eui Yoon (3 shared papers)Junfeng He (2 shared papers)Shih-Fu Chang (1 shared paper)Byung‐Gyu Kim (15 shared papers)Shih‐Fu Chang (1 shared paper)Joseph J. Lim (9 shared papers)Shaohua Sun (2 shared papers)
- Journals
- Big Data (1 paper)Personal and Ubiquitous Computing (1 paper)IEEE Access (1 paper)Mobile Networks and Applications (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Youngwoon Lee
30 papers receiving 509 citations
Peers
Comparison fields: 5 of 57
- Computer Vision and Pattern Recognition 422
- Signal Processing 43
- Artificial Intelligence 114
- Media Technology 31
- Computer Networks and Communications 45
Countries citing papers authored by Youngwoon Lee
This map shows the geographic impact of Youngwoon 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 Youngwoon Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Youngwoon Lee more than expected).
Fields of papers citing papers by Youngwoon Lee
This network shows the impact of papers produced by Youngwoon 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 Youngwoon Lee. The network helps show where Youngwoon Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Youngwoon Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 266 | |
| 2 | 2015 | 80 | |
| 3 | 2021 | 25 | |
| 4 | 2017 | 17 | |
| 5 | 2023 | 16 | |
| 6 | Composing Complex Skills by Learning Transition Policies | 2018 | 15 |
| 7 | 2021 | 12 | |
| 8 | Learning to Coordinate Manipulation Skills via Skill Behavior Diversification | 2020 | 11 |
| 9 | 2023 | 11 | |
| 10 | 2020 | 9 | |
| 11 | 2018 | 7 | |
| 12 | 2018 | 6 | |
| 13 | 2024 | 5 | |
| 14 | 2014 | 4 | |
| 15 | 2015 | 4 | |
| 16 | 2024 | 4 | |
| 17 | To Follow or not to Follow: Selective Imitation Learning from Observations. | 2019 | 3 |
| 18 | 2024 | 3 | |
| 19 | 2022 | 3 | |
| 20 | 2019 | 3 |
About Youngwoon Lee
Youngwoon Lee is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Signal Processing and Media Technology, having authored 32 papers that have together received 523 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (6 papers), Robot Manipulation and Learning (5 papers), Video Coding and Compression Technologies (5 papers), Reinforcement Learning in Robotics (5 papers), Advanced Image Processing Techniques (5 papers), Image Retrieval and Classification Techniques (4 papers), Advanced Vision and Imaging (4 papers) and Robotic Path Planning Algorithms (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (422 citations), Signal Processing (43 citations), Artificial Intelligence (114 citations), Media Technology (31 citations) and Computer Networks and Communications (45 citations). Youngwoon Lee has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Jae‐Pil Heo, Sung‐Eui Yoon, Junfeng He, Shih-Fu Chang, Byung‐Gyu Kim, Shih‐Fu Chang, Joseph J. Lim, Shaohua Sun, Avishek Saha and Ji‐Hae Kim. Their work appears in journals such as Big Data, Personal and Ubiquitous Computing, IEEE Access, Mobile Networks and Applications and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.