Yong-Moo Kwon
- Computer Vision and Pattern Recognition top 5%
- Human-Computer Interaction top 5%
- Control and Systems Engineering top 10%
- Media Technology top 5%
- Mechanical Engineering
- Co-authors
- Hyoung-Gon KimSang Chul AhnHeedong KoIg-Jae KimJe–Ho LeeSung‐Kyu KimElena FerrariElisa Bertino
- Topics
- Robotics and Automated Systems (13 papers)Virtual Reality Applications and Impacts (9 papers)Video Analysis and Summarization (8 papers)
- Partner nations
- South KoreaItalyNepal
In The Last Decade
Yong-Moo Kwon
46 papers receiving 316 citations
Peers
Comparison fields: 5 of 62
- Computer Vision and Pattern Recognition 159
- Human-Computer Interaction 102
- Control and Systems Engineering 89
- Media Technology 80
- Mechanical Engineering 58
Countries citing papers authored by Yong-Moo Kwon
This map shows the geographic impact of Yong-Moo Kwon'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 Yong-Moo Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yong-Moo Kwon more than expected).
Fields of papers citing papers by Yong-Moo Kwon
This network shows the impact of papers produced by Yong-Moo Kwon. 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 Yong-Moo Kwon. The network helps show where Yong-Moo Kwon may publish in the future.
Co-authorship network of co-authors of Yong-Moo Kwon
This figure shows the co-authorship network connecting the top 25 collaborators of Yong-Moo Kwon. A scholar is included among the top collaborators of Yong-Moo Kwon 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 Yong-Moo Kwon. Yong-Moo Kwon 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | Robot component connection mechanism using IP based permission assignment | 1 |
| 6 | 6 | |
| 7 | 1 | |
| 8 | Efficient Data Transmission Method for UPnP Based Robot Middleware | 1 |
| 9 | UPnP Network Bridge Architecture for Combining Different Networks | 3 |
| 10 | 18 | |
| 11 | 1 | |
| 12 | 24 | |
| 13 | 10 | |
| 14 | 24 | |
| 15 | 1 | |
| 16 | 8 | |
| 17 | 5 | |
| 18 | 2 | |
| 19 | 8 | |
| 20 | 62 |
About Yong-Moo Kwon
Yong-Moo Kwon is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 51 papers that have together received 365 indexed citations. Recurring topics across this work include Robotics and Automated Systems (13 papers), Virtual Reality Applications and Impacts (9 papers) and Video Analysis and Summarization (8 papers). The work is most often cited by research in Human-Computer Interaction (102 citations), Media Technology (80 citations) and Computer Vision and Pattern Recognition (159 citations). Yong-Moo Kwon has collaborated with scholars based in South Korea, Italy and Nepal. Frequent co-authors include Hyoung-Gon Kim, Sang Chul Ahn, Heedong Ko, Ig-Jae Kim, Je–Ho Lee, Sung‐Kyu Kim, Elena Ferrari, Elisa Bertino, Changhoon Park and Wonpil Yu. Their work appears in journals such as Optics Communications, Optical Engineering and PRESENCE Virtual and Augmented Reality.
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.