Sungho Suh
Impact in
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- Digital Transformation in Industry
- Media Technology top 5%
- Image Processing Techniques and Applications
Papers in
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- Context-Aware Activity Recognition Systems 18
- Human Pose and Action Recognition 12
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- CCD and CMOS Imaging Sensors 12
- Co-authors
- Paul Lukowicz (40 shared papers)Yong Oh Lee (6 shared papers)Vítor Fortes Rey (13 shared papers)Shinya Itoh (3 shared papers)Shoji Kawahito (3 shared papers)Bo Zhou (18 shared papers)Satoshi Aoyama (1 shared paper)Seul Kee Kim (1 shared paper)
- Journals
- Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (4 papers)Knowledge-Based Systems (3 papers)Expert Systems with Applications (3 papers)Neural Networks (2 papers)Radiology (2 papers)
- Partner nations
- GermanySouth KoreaUnited States
In The Last Decade
Sungho Suh
67 papers receiving 1.0k citations
Sungho Suh's Hit Papers
Peers
Comparison fields: 5 of 123
- Industrial and Manufacturing Engineering 123
- Media Technology 88
- Human-Computer Interaction 51
- Computer Vision and Pattern Recognition 188
- Instrumentation 29
Countries citing papers authored by Sungho Suh
This map shows the geographic impact of Sungho Suh'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 Sungho Suh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sungho Suh more than expected).
Fields of papers citing papers by Sungho Suh
This network shows the impact of papers produced by Sungho Suh. 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 Sungho Suh. The network helps show where Sungho Suh may publish in the future.
Co-authors
The 25 scholars most cited alongside Sungho Suh, 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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Human-centric artificial intelligence architecture for industry 5.0 applications Hit paper breakdown → | 2022 | 159 |
| 2 | 1998 | 103 | |
| 3 | 2011 | 92 | |
| 4 | 2021 | 87 | |
| 5 | 2020 | 68 | |
| 6 | 2022 | 56 | |
| 7 | 1996 | 53 | |
| 8 | 2010 | 52 | |
| 9 | 2019 | 50 | |
| 10 | 2022 | 29 | |
| 11 | 2021 | 25 | |
| 12 | 2020 | 23 | |
| 13 | 2021 | 21 | |
| 14 | 2019 | 17 | |
| 15 | 2022 | 16 | |
| 16 | 2011 | 16 | |
| 17 | 2023 | 15 | |
| 18 | 2023 | 13 | |
| 19 | 2024 | 13 | |
| 20 | 2005 | 12 |
About Sungho Suh
Sungho Suh is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Artificial Intelligence, Biomedical Engineering and Cellular and Molecular Neuroscience, having authored 79 papers that have together received 1.0k indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (18 papers), Human Pose and Action Recognition (12 papers), CCD and CMOS Imaging Sensors (12 papers), Anomaly Detection Techniques and Applications (9 papers), Neuroscience and Neural Engineering (8 papers), Non-Invasive Vital Sign Monitoring (7 papers), Industrial Vision Systems and Defect Detection (7 papers) and Hand Gesture Recognition Systems (6 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (123 citations), Media Technology (88 citations), Human-Computer Interaction (51 citations), Computer Vision and Pattern Recognition (188 citations) and Instrumentation (29 citations). Sungho Suh has collaborated with scholars based in Germany, South Korea and United States. Frequent co-authors include Paul Lukowicz, Yong Oh Lee, Vítor Fortes Rey, Shinya Itoh, Shoji Kawahito, Bo Zhou, Satoshi Aoyama, Seul Kee Kim, I W Choo and Keigo Isobe. Their work appears in journals such as Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, Knowledge-Based Systems, Expert Systems with Applications, Neural Networks and Radiology.
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.