Joo-Chan Sohn
- Control and Systems Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Computer Networks and Communications top 10%
- Information Systems top 10%
- Co-authors
- Young-Guk HaYoung-Jo ChoHyunsoo YoonMinsu JangJaehong KimDohyung KimJaeyeon LeeHo‐Sub Yoon
- Topics
- Robotics and Automated Systems (20 papers)Service-Oriented Architecture and Web Services (15 papers)Context-Aware Activity Recognition Systems (12 papers)
- Cited by
- Human-Computer InteractionComputer Vision and Pattern RecognitionControl and Systems Engineering
- Journals
- Information SciencesIEEE Transactions on Automation Science and EngineeringThe Journal of Supercomputing
- Partner nations
- South Korea
In The Last Decade
Joo-Chan Sohn
32 papers receiving 214 citations
Peers
Comparison fields: 5 of 49
- Control and Systems Engineering 89
- Computer Vision and Pattern Recognition 89
- Artificial Intelligence 69
- Computer Networks and Communications 67
- Information Systems 62
Countries citing papers authored by Joo-Chan Sohn
This map shows the geographic impact of Joo-Chan Sohn'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 Joo-Chan Sohn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joo-Chan Sohn more than expected).
Fields of papers citing papers by Joo-Chan Sohn
This network shows the impact of papers produced by Joo-Chan Sohn. 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 Joo-Chan Sohn. The network helps show where Joo-Chan Sohn may publish in the future.
Co-authorship network of co-authors of Joo-Chan Sohn
This figure shows the co-authorship network connecting the top 25 collaborators of Joo-Chan Sohn. A scholar is included among the top collaborators of Joo-Chan Sohn 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 Joo-Chan Sohn. Joo-Chan Sohn 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 | 20 | |
| 4 | 18 | |
| 5 | KOBIE: A Pet-type Emotion Robot | 3 |
| 6 | 2 | |
| 7 | 6 | |
| 8 | 6 | |
| 9 | 1 | |
| 10 | 5 | |
| 11 | 4 | |
| 12 | 1 | |
| 13 | 6 | |
| 14 | 5 | |
| 15 | 4 | |
| 16 | A Framework for Service Planning in the Semantic Web Services | 1 |
| 17 | 4 | |
| 18 | 25 | |
| 19 | Web Content Adaptation and Transcoding Based on CC/PP and Semantic Templates. | 2 |
| 20 | ERP Application Development Using Business Data Dictionary | 1 |
About Joo-Chan Sohn
Joo-Chan Sohn is a scholar working on Control and Systems Engineering, Human-Computer Interaction and Information Systems, having authored 33 papers that have together received 238 indexed citations. Recurring topics across this work include Robotics and Automated Systems (20 papers), Service-Oriented Architecture and Web Services (15 papers) and Context-Aware Activity Recognition Systems (12 papers). The work is most often cited by research in Human-Computer Interaction (28 citations), Computer Vision and Pattern Recognition (89 citations) and Control and Systems Engineering (89 citations). Joo-Chan Sohn has collaborated with scholars based in South Korea. Frequent co-authors include Young-Guk Ha, Young-Jo Cho, Hyunsoo Yoon, Minsu Jang, Jaehong Kim, Dohyung Kim, Jaeyeon Lee, Ho‐Sub Yoon, Hyo‐Sung Ahn and Wonpil Yu. Their work appears in journals such as Information Sciences, IEEE Transactions on Automation Science and Engineering and The Journal of Supercomputing.
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.