Young-Jo Cho
- Computer Vision and Pattern Recognition top 5%
- Control and Systems Engineering top 10%
- Computer Networks and Communications top 10%
- Mechanical Engineering
- Information Systems top 10%
- Co-authors
- Joo-Chan SohnYoung-Guk HaSang–Rok OhHyun KimHyunsoo YoonNak Young ChongMinsu JangJaeyeon Lee
- Topics
- Robotics and Automated Systems (21 papers)Modular Robots and Swarm Intelligence (14 papers)Context-Aware Activity Recognition Systems (13 papers)
- Cited by
- Computer Vision and Pattern RecognitionControl and Systems EngineeringHuman-Computer Interaction
- Partner nations
- South KoreaSwedenUnited States
In The Last Decade
Young-Jo Cho
56 papers receiving 337 citations
Peers
Comparison fields: 5 of 61
- Computer Vision and Pattern Recognition 177
- Control and Systems Engineering 137
- Computer Networks and Communications 111
- Mechanical Engineering 85
- Information Systems 55
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-authorship network of co-authors of Young-Jo Cho
This figure shows the co-authorship network connecting the top 25 collaborators of Young-Jo Cho. A scholar is included among the top collaborators of Young-Jo Cho 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 Young-Jo Cho. Young-Jo Cho 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 | 20 | |
| 3 | 7 | |
| 4 | 14 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | Gait Phases Detection from EMG and FSR Signals in Walkingamong Children | 1 |
| 10 | 6 | |
| 11 | Detection of Faces Located at a Long Range with Low-resolution Input Images for Mobile Robots | 0 |
| 12 | 7 | |
| 13 | Automated Integration of Service Robots into Ubiquitous Environments | 2 |
| 14 | Steps toward an ecology of physically embedded intelligent systems | 5 |
| 15 | 4 | |
| 16 | 11 | |
| 17 | Integrating Robots into Smart Environments | 1 |
| 18 | 25 | |
| 19 | 2 | |
| 20 | 2 |
About Young-Jo Cho
Young-Jo Cho is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Computer Networks and Communications, having authored 59 papers that have together received 362 indexed citations. Recurring topics across this work include Robotics and Automated Systems (21 papers), Modular Robots and Swarm Intelligence (14 papers) and Context-Aware Activity Recognition Systems (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (177 citations), Control and Systems Engineering (137 citations) and Human-Computer Interaction (28 citations). Young-Jo Cho has collaborated with scholars based in South Korea, Sweden and United States. Frequent co-authors include Joo-Chan Sohn, Young-Guk Ha, Sang–Rok Oh, Hyun Kim, Hyunsoo Yoon, Nak Young Chong, Minsu Jang, Jaeyeon Lee, Wonpil Yu and Mathias Broxvall. Their work appears in journals such as Information Sciences, International Journal of Psychophysiology 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.