Seungwoo Kang
- Computer Vision and Pattern Recognition top 2%
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Computer Science Applications top 2%
- Human-Computer Interaction top 2%
- Co-authors
- Junehwa SongYoungki LeeSouneil ParkChulhong MinInseok HwangYounghyun JuTaiwoo ParkHyuk‐Jae Jang
- Topics
- Context-Aware Activity Recognition Systems (12 papers)Mobile Crowdsensing and Crowdsourcing (11 papers)Green IT and Sustainability (9 papers)
- Cited by
- Computer Science ApplicationsHuman-Computer InteractionComputer Vision and Pattern Recognition
- Partner nations
- South KoreaUnited StatesSingapore
In The Last Decade
Seungwoo Kang
57 papers receiving 937 citations
Peers
Comparison fields: 5 of 95
- Computer Vision and Pattern Recognition 380
- Computer Networks and Communications 350
- Electrical and Electronic Engineering 238
- Computer Science Applications 200
- Human-Computer Interaction 135
Countries citing papers authored by Seungwoo Kang
This map shows the geographic impact of Seungwoo Kang'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 Seungwoo Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seungwoo Kang more than expected).
Fields of papers citing papers by Seungwoo Kang
This network shows the impact of papers produced by Seungwoo Kang. 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 Seungwoo Kang. The network helps show where Seungwoo Kang may publish in the future.
Co-authorship network of co-authors of Seungwoo Kang
This figure shows the co-authorship network connecting the top 25 collaborators of Seungwoo Kang. A scholar is included among the top collaborators of Seungwoo Kang 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 Seungwoo Kang. Seungwoo Kang 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 | 2 | |
| 3 | 17 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 9 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 4 | |
| 12 | 6 | |
| 13 | 9 | |
| 14 | 13 | |
| 15 | 47 | |
| 16 | 7 | |
| 17 | 130 | |
| 18 | 9 | |
| 19 | Proc. of VLDB Workshop On Databases, Information Systems and Peer-to-Peer Computing (DBISP2P) | 0 |
| 20 | Development and Application of a Vehicle Routing Supporting System using Digital Map | 0 |
About Seungwoo Kang
Seungwoo Kang is a scholar working on Human-Computer Interaction, Computer Science Applications and Computer Vision and Pattern Recognition, having authored 61 papers that have together received 963 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (12 papers), Mobile Crowdsensing and Crowdsourcing (11 papers) and Green IT and Sustainability (9 papers). The work is most often cited by research in Computer Science Applications (200 citations), Human-Computer Interaction (135 citations) and Computer Vision and Pattern Recognition (380 citations). Seungwoo Kang has collaborated with scholars based in South Korea, United States and Singapore. Frequent co-authors include Junehwa Song, Youngki Lee, Souneil Park, Chulhong Min, Inseok Hwang, Younghyun Ju, Taiwoo Park, Hyuk‐Jae Jang, Jinwon Lee and Jinwon Lee. Their work appears in journals such as Communications of the ACM, IEEE Access and Sensors.
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.