Seung-Bo Park
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Sociology and Political Science
- Signal Processing
- Neurology
- Co-authors
- Geun‐Sik JoMohammed Nazim UddinJason J. JungDong Jun SungSojung KimHeung-Nam KimHyun‐Sik KimO‐Joun Lee
- Topics
- Video Analysis and Summarization (21 papers)Multimedia Communication and Technology (14 papers)Innovation in Digital Healthcare Systems (4 papers)
- Journals
- PLoS ONEIEEE AccessSensors
- Partner nations
- South KoreaBangladeshMalaysia
In The Last Decade
Seung-Bo Park
29 papers receiving 224 citations
Peers
Comparison fields: 5 of 73
- Computer Vision and Pattern Recognition 78
- Artificial Intelligence 59
- Sociology and Political Science 49
- Signal Processing 42
- Neurology 37
Countries citing papers authored by Seung-Bo Park
This map shows the geographic impact of Seung-Bo Park'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 Seung-Bo Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seung-Bo Park more than expected).
Fields of papers citing papers by Seung-Bo Park
This network shows the impact of papers produced by Seung-Bo Park. 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 Seung-Bo Park. The network helps show where Seung-Bo Park may publish in the future.
Co-authorship network of co-authors of Seung-Bo Park
This figure shows the co-authorship network connecting the top 25 collaborators of Seung-Bo Park. A scholar is included among the top collaborators of Seung-Bo Park 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 Seung-Bo Park. Seung-Bo Park 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 | 7 | |
| 4 | 2 | |
| 5 | 7 | |
| 6 | 0 | |
| 7 | 37 | |
| 8 | Exploiting Social Contexts for Movie Recommendation | 8 |
| 9 | Collaborative Script Analysis Platform for Cinemetrics Based on Story | 0 |
| 10 | 1 | |
| 11 | 12 | |
| 12 | Acute Effects of Different Stretching Protocols on Sergent Jump and Lower Limb Isokinetic Strength in Collegiate Tennis Players | 1 |
| 13 | 2 | |
| 14 | 3 | |
| 15 | 34 | |
| 16 | 0 | |
| 17 | 14 | |
| 18 | Improvement of Character-net via Detection of Conversation Participant | 2 |
| 19 | Role Grades Classification and Community Clustering at Character-net | 2 |
| 20 | 7 |
About Seung-Bo Park
Seung-Bo Park is a scholar working on Computer Vision and Pattern Recognition, Health Information Management and Signal Processing, having authored 38 papers that have together received 251 indexed citations. Recurring topics across this work include Video Analysis and Summarization (21 papers), Multimedia Communication and Technology (14 papers) and Innovation in Digital Healthcare Systems (4 papers). The work is most often cited by research in Neurology (37 citations), Signal Processing (42 citations) and Computer Vision and Pattern Recognition (78 citations). Seung-Bo Park has collaborated with scholars based in South Korea, Bangladesh and Malaysia. Frequent co-authors include Geun‐Sik Jo, Mohammed Nazim Uddin, Jason J. Jung, Dong Jun Sung, Sojung Kim, Heung-Nam Kim, Hyun‐Sik Kim, O‐Joun Lee, Jae-Dong Lee and Jae Kyeong Kim. Their work appears in journals such as PLoS ONE, 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.