Hyong-Euk Lee
- Computer Vision and Pattern Recognition top 10%
- Human-Computer Interaction top 5%
- Control and Systems Engineering top 10%
- Artificial Intelligence
- Cognitive Neuroscience
- Co-authors
- Zeungnam BienKwang‐Hyun ParkJeong-Su HanDaejin KimJongsung KimJun‐Hyeong DoJae‐Joon HanGeehyuk Lee
- Topics
- Robotics and Automated Systems (7 papers)Context-Aware Activity Recognition Systems (4 papers)Social Robot Interaction and HRI (4 papers)
- Journals
- IEEE Transactions on Fuzzy SystemsKnowledge-Based SystemsIEEE Computer Graphics and Applications
- Partner nations
- South KoreaCanadaGermany
In The Last Decade
Hyong-Euk Lee
22 papers receiving 319 citations
Peers
Comparison fields: 5 of 66
- Computer Vision and Pattern Recognition 142
- Human-Computer Interaction 91
- Control and Systems Engineering 79
- Artificial Intelligence 75
- Cognitive Neuroscience 68
Countries citing papers authored by Hyong-Euk Lee
This map shows the geographic impact of Hyong-Euk 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 Hyong-Euk Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyong-Euk Lee more than expected).
Fields of papers citing papers by Hyong-Euk Lee
This network shows the impact of papers produced by Hyong-Euk 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 Hyong-Euk Lee. The network helps show where Hyong-Euk Lee may publish in the future.
Co-authorship network of co-authors of Hyong-Euk Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Hyong-Euk Lee. A scholar is included among the top collaborators of Hyong-Euk 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 Hyong-Euk Lee. Hyong-Euk 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 | 2 | |
| 2 | 1 | |
| 3 | 18 | |
| 4 | 16 | |
| 5 | 9 | |
| 6 | 0 | |
| 7 | 7 | |
| 8 | 3 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 39 | |
| 12 | 15 | |
| 13 | 22 | |
| 14 | 66 | |
| 15 | A Task Planning System of Steward Robot for Human-friendly Human-Robot Interaction in an Smart Home Environment | 2 |
| 16 | 44 | |
| 17 | 6 | |
| 18 | 3 | |
| 19 | 3 | |
| 20 | 62 |
About Hyong-Euk Lee
Hyong-Euk Lee is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 25 papers that have together received 343 indexed citations. Recurring topics across this work include Robotics and Automated Systems (7 papers), Context-Aware Activity Recognition Systems (4 papers) and Social Robot Interaction and HRI (4 papers). The work is most often cited by research in Human-Computer Interaction (91 citations), Computer Vision and Pattern Recognition (142 citations) and Cognitive Neuroscience (68 citations). Hyong-Euk Lee has collaborated with scholars based in South Korea, Canada and Germany. Frequent co-authors include Zeungnam Bien, Kwang‐Hyun Park, Jeong-Su Han, Daejin Kim, Jongsung Kim, Jun‐Hyeong Do, Jae‐Joon Han, Geehyuk Lee, Eun‐Hee Kang and Sujin Lee. Their work appears in journals such as IEEE Transactions on Fuzzy Systems, Knowledge-Based Systems and IEEE Computer Graphics and Applications.
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.