Hyunsoo Yang
- Control and Systems Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering top 10%
- Mechanical Engineering
- Biomedical Engineering
- Co-authors
- Dongjun LeeYongseok LeeSangyul ParkS.M. JangYeonho JeongAmir FirouzehDavide BicegoPaolo Robuffo Giordano
- Topics
- Robotic Path Planning Algorithms (7 papers)Robotics and Sensor-Based Localization (5 papers)Dynamics and Control of Mechanical Systems (3 papers)
- Cited by
- Control and Systems EngineeringComputer Vision and Pattern RecognitionAerospace Engineering
- Partner nations
- South KoreaItalySingapore
In The Last Decade
Hyunsoo Yang
18 papers receiving 319 citations
Peers
Comparison fields: 5 of 37
- Control and Systems Engineering 196
- Computer Vision and Pattern Recognition 158
- Aerospace Engineering 127
- Mechanical Engineering 67
- Biomedical Engineering 59
Countries citing papers authored by Hyunsoo Yang
This map shows the geographic impact of Hyunsoo 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 Hyunsoo Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyunsoo Yang more than expected).
Fields of papers citing papers by Hyunsoo Yang
This network shows the impact of papers produced by Hyunsoo 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 Hyunsoo Yang. The network helps show where Hyunsoo Yang may publish in the future.
Co-authorship network of co-authors of Hyunsoo Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Hyunsoo Yang. A scholar is included among the top collaborators of Hyunsoo 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 Hyunsoo Yang. Hyunsoo 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 | 1 | |
| 3 | 9 | |
| 4 | 2 | |
| 5 | 7 | |
| 6 | 10 | |
| 7 | 4 | |
| 8 | 22 | |
| 9 | 39 | |
| 10 | 50 | |
| 11 | 1 | |
| 12 | 12 | |
| 13 | 1 | |
| 14 | 35 | |
| 15 | 2 | |
| 16 | 94 | |
| 17 | 10 | |
| 18 | 28 | |
| 19 | 3 |
About Hyunsoo Yang
Hyunsoo Yang is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 19 papers that have together received 330 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (7 papers), Robotics and Sensor-Based Localization (5 papers) and Dynamics and Control of Mechanical Systems (3 papers). The work is most often cited by research in Control and Systems Engineering (196 citations), Computer Vision and Pattern Recognition (158 citations) and Aerospace Engineering (127 citations). Hyunsoo Yang has collaborated with scholars based in South Korea, Italy and Singapore. Frequent co-authors include Dongjun Lee, Yongseok Lee, Sangyul Park, S.M. Jang, Yeonho Jeong, Amir Firouzeh, Davide Bicego, Paolo Robuffo Giordano, Nicolas Staub and Min-Seong Kim. Their work appears in journals such as Physical Review Letters, IEEE Transactions on Robotics and IEEE Transactions on Magnetics.
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.