Young-Jo Cho
Impact in
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- Context-Aware Activity Recognition Systems
- Robotic Path Planning Algorithms
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- Robotics and Automated Systems
Papers in
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- Context-Aware Activity Recognition Systems 14
- Robotic Path Planning Algorithms 9
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- Robotics and Automated Systems 24
- Robot Manipulation and Learning 6
- Co-authors
- Joo-Chan Sohn (8 shared papers)Young-Guk Ha (5 shared papers)Sang–Rok Oh (7 shared papers)Hyun Kim (3 shared papers)Hyunsoo Yoon (2 shared papers)Nak Young Chong (3 shared papers)Minsu Jang (11 shared papers)Jae-Yeong Lee (1 shared paper)
- Journals
- ETRI Journal (2 papers)Springer tracts in advanced robotics (1 paper)International Journal of Psychophysiology (1 paper)Robotica (1 paper)Advanced Robotics (1 paper)
- Partner nations
- South KoreaUnited StatesSweden
In The Last Decade
Young-Jo Cho
60 papers receiving 402 citations
Peers
Comparison fields: 5 of 66
- Computer Vision and Pattern Recognition 211
- Control and Systems Engineering 166
- Human-Computer Interaction 34
- Computer Networks and Communications 135
- Information Systems 62
Countries citing papers authored by Young-Jo Cho
This map shows the geographic impact of Young-Jo Cho'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 Young-Jo Cho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Young-Jo Cho more than expected).
Fields of papers citing papers by Young-Jo Cho
This network shows the impact of papers produced by Young-Jo Cho. 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 Young-Jo Cho. The network helps show where Young-Jo Cho may publish in the future.
Co-authors
The 25 scholars most cited alongside Young-Jo Cho, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 53 | |
| 2 | 2005 | 40 | |
| 3 | 2005 | 30 | |
| 4 | 2006 | 26 | |
| 5 | 2016 | 21 | |
| 6 | 2006 | 18 | |
| 7 | 2014 | 15 | |
| 8 | 2014 | 12 | |
| 9 | 2006 | 12 | |
| 10 | The PEIS-Ecology Project: a progress report | 2007 | 11 |
| 11 | 2006 | 9 | |
| 12 | 2007 | 8 | |
| 13 | 2015 | 7 | |
| 14 | 2013 | 7 | |
| 15 | 2007 | 7 | |
| 16 | 2005 | 7 | |
| 17 | 2006 | 6 | |
| 18 | 2007 | 6 | |
| 19 | 2014 | 6 | |
| 20 | 2003 | 6 |
About Young-Jo Cho
Young-Jo Cho is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Mechanical Engineering, Computer Networks and Communications and Artificial Intelligence, having authored 64 papers that have together received 429 indexed citations. Recurring topics across this work include Robotics and Automated Systems (24 papers), Modular Robots and Swarm Intelligence (17 papers), Context-Aware Activity Recognition Systems (14 papers), Robotic Path Planning Algorithms (9 papers), Social Robot Interaction and HRI (8 papers), Service-Oriented Architecture and Web Services (6 papers), Distributed Control Multi-Agent Systems (6 papers) and Robot Manipulation and Learning (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (211 citations), Control and Systems Engineering (166 citations), Human-Computer Interaction (34 citations), Computer Networks and Communications (135 citations) and Information Systems (62 citations). Young-Jo Cho has collaborated with scholars based in South Korea, United States and Sweden. Frequent co-authors include Joo-Chan Sohn, Young-Guk Ha, Sang–Rok Oh, Hyun Kim, Hyunsoo Yoon, Nak Young Chong, Minsu Jang, Jae-Yeong Lee, Jaeyeon Lee and Wonpil Yu. Their work appears in journals such as ETRI Journal, Springer tracts in advanced robotics, International Journal of Psychophysiology, Robotica and Advanced Robotics.
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.