Hyun Suk Yang
- Cardiology and Cardiovascular Medicine top 5%
- Computer Vision and Pattern Recognition top 2%
- Surgery top 10%
- Epidemiology
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Sungeun HongJongbin RyuMina HurKrishnaswamy ChandrasekaranHanah KimChi Yoon JeongKyeong-Deok MoonJae‐Joong Kim
- Topics
- Robotics and Sensor-Based Localization (21 papers)Advanced Image and Video Retrieval Techniques (21 papers)Cardiac Valve Diseases and Treatments (12 papers)
- Cited by
- Computer Vision and Pattern RecognitionCardiology and Cardiovascular MedicineCritical Care and Intensive Care Medicine
- Partner nations
- South KoreaUnited StatesItaly
In The Last Decade
Hyun Suk Yang
128 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 143
- Cardiology and Cardiovascular Medicine 506
- Computer Vision and Pattern Recognition 450
- Surgery 299
- Epidemiology 220
- Radiology, Nuclear Medicine and Imaging 193
Countries citing papers authored by Hyun Suk Yang
This map shows the geographic impact of Hyun Suk Yang'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 Hyun Suk Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyun Suk Yang more than expected).
Fields of papers citing papers by Hyun Suk Yang
This network shows the impact of papers produced by Hyun Suk Yang. 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 Hyun Suk Yang. The network helps show where Hyun Suk Yang may publish in the future.
Co-authorship network of co-authors of Hyun Suk Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Hyun Suk Yang. A scholar is included among the top collaborators of Hyun Suk Yang 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 Hyun Suk Yang. Hyun Suk Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 6 | |
| 4 | 6 | |
| 5 | 7 | |
| 6 | 11 | |
| 7 | 16 | |
| 8 | 11 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 79 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 18 | |
| 15 | Optimal trajectory generation of compass-gait biped based on passive dynamic walking | 1 |
| 16 | A REAL-TIME HUMAN ACTION RECOGNITION SYSTEM FOR MULTIPLE PERSONS WITH A SINGLE CAMERA | 2 |
| 17 | 29 | |
| 18 | 20 | |
| 19 | 4 | |
| 20 | 14 |
About Hyun Suk Yang
Hyun Suk Yang is a scholar working on Computer Vision and Pattern Recognition, Cardiology and Cardiovascular Medicine and Human-Computer Interaction, having authored 136 papers that have together received 1.5k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (21 papers), Advanced Image and Video Retrieval Techniques (21 papers) and Cardiac Valve Diseases and Treatments (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (450 citations), Cardiology and Cardiovascular Medicine (506 citations) and Critical Care and Intensive Care Medicine (67 citations). Hyun Suk Yang has collaborated with scholars based in South Korea, United States and Italy. Frequent co-authors include Sungeun Hong, Jongbin Ryu, Mina Hur, Krishnaswamy Chandrasekaran, Hanah Kim, Chi Yoon Jeong, Kyeong-Deok Moon, Jae‐Joong Kim, Soo‐Nyung Kim and Cheol Whan Lee. Their work appears in journals such as Circulation, PLoS ONE and Scientific Reports.
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.