Seong-hoon Peter Won
Impact in
- Aerospace Engineering top 10%
- Inertial Sensor and Navigation
- Robotics and Sensor-Based Localization
- Human-Computer Interaction top 10%
- Hand Gesture Recognition Systems
Papers in
-
- Inertial Sensor and Navigation 7
-
- Advanced Measurement and Metrology Techniques 2
- Co-authors
- Farid Golnaraghi (7 shared papers)William Melek (6 shared papers)Mir Behrad Khamesee (1 shared paper)William J. Owen (1 shared paper)Mohammad Biglarbegian (1 shared paper)
- Journals
- IEEE Transactions on Industrial Electronics (1 paper)Robotica (1 paper)IEEE Transactions on Instrumentation and Measurement (1 paper)Measurement Science and Technology (1 paper)
- Partner nations
- CanadaUnited States
In The Last Decade
Seong-hoon Peter Won
9 papers receiving 327 citations
Peers
Comparison fields: 5 of 62
- Aerospace Engineering 189
- Human-Computer Interaction 41
- Ocean Engineering 52
- Control and Systems Engineering 70
- Computer Vision and Pattern Recognition 58
Countries citing papers authored by Seong-hoon Peter Won
This map shows the geographic impact of Seong-hoon Peter Won'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 Seong-hoon Peter Won with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seong-hoon Peter Won more than expected).
Fields of papers citing papers by Seong-hoon Peter Won
This network shows the impact of papers produced by Seong-hoon Peter Won. 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 Seong-hoon Peter Won. The network helps show where Seong-hoon Peter Won may publish in the future.
Co-authors
The 5 scholars most cited alongside Seong-hoon Peter Won, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 159 | |
| 2 | 2009 | 133 | |
| 3 | 2011 | 20 | |
| 4 | 2008 | 8 | |
| 5 | 2009 | 6 | |
| 6 | 2013 | 6 | |
| 7 | 2014 | 6 | |
| 8 | 2008 | 6 | |
| 9 | 2008 | 6 |
About Seong-hoon Peter Won
Seong-hoon Peter Won is a scholar working on Aerospace Engineering, Mechanical Engineering, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Ocean Engineering, having authored 9 papers that have together received 350 indexed citations. Recurring topics across this work include Inertial Sensor and Navigation (7 papers), Indoor and Outdoor Localization Technologies (3 papers), Target Tracking and Data Fusion in Sensor Networks (2 papers), Optical measurement and interference techniques (2 papers), Advanced Measurement and Metrology Techniques (2 papers), Geophysics and Sensor Technology (2 papers), Astronomical Observations and Instrumentation (2 papers) and Robotic Mechanisms and Dynamics (1 paper). The work is most often cited by research in Aerospace Engineering (189 citations), Human-Computer Interaction (41 citations), Ocean Engineering (52 citations), Control and Systems Engineering (70 citations) and Computer Vision and Pattern Recognition (58 citations). Seong-hoon Peter Won has collaborated with scholars based in Canada and United States. Frequent co-authors include Farid Golnaraghi, William Melek, Mir Behrad Khamesee, William J. Owen and Mohammad Biglarbegian. Their work appears in journals such as IEEE Transactions on Industrial Electronics, Robotica, IEEE Transactions on Instrumentation and Measurement and Measurement Science and Technology.
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.