Yunsick Sung
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Signal Processing top 5%
- Information Systems top 5%
- Topics
- Robotics and Sensor-Based Localization (14 papers)Reinforcement Learning in Robotics (13 papers)Music Technology and Sound Studies (12 papers)
- Cited by
- Signal ProcessingComputer Vision and Pattern RecognitionComputer Networks and Communications
- Partner nations
- South KoreaMacaoUnited States
In The Last Decade
Yunsick Sung
107 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 139
- Computer Vision and Pattern Recognition 354
- Artificial Intelligence 261
- Computer Networks and Communications 257
- Signal Processing 221
- Information Systems 156
Countries citing papers authored by Yunsick Sung
This map shows the geographic impact of Yunsick Sung'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 Yunsick Sung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yunsick Sung more than expected).
Fields of papers citing papers by Yunsick Sung
This network shows the impact of papers produced by Yunsick Sung. 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 Yunsick Sung. The network helps show where Yunsick Sung may publish in the future.
Co-authorship network of co-authors of Yunsick Sung
This figure shows the co-authorship network connecting the top 25 collaborators of Yunsick Sung. A scholar is included among the top collaborators of Yunsick Sung 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 Yunsick Sung. Yunsick Sung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 9 | |
| 10 | 12 | |
| 11 | Dynamic Action Space Handling Method for Reinforcement Learning Models | 5 |
| 12 | Decision Tree Generation Algorithm for Image-based Video Conferencing | 2 |
| 13 | 54 | |
| 14 | 2 | |
| 15 | Path Generation Method of UAV Autopilots using Max-Min Algorithm. | 1 |
| 16 | Arm Orientation Estimation Method with Multiple Devices for NUI/NUX | 3 |
| 17 | Impulse Noise Filter for Beacon-AP Signal Processing in Real Time | 8 |
| 18 | 2 | |
| 19 | 2 | |
| 20 | 2 |
About Yunsick Sung
Yunsick Sung is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Signal Processing, having authored 114 papers that have together received 1.2k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (14 papers), Reinforcement Learning in Robotics (13 papers) and Music Technology and Sound Studies (12 papers). The work is most often cited by research in Signal Processing (221 citations), Computer Vision and Pattern Recognition (354 citations) and Computer Networks and Communications (257 citations). Yunsick Sung has collaborated with scholars based in South Korea, Macao and United States. Frequent co-authors include Jong Hyuk Park, Shuyu Li, Kyungeun Cho, Young‐Sik Jeong, Simon Fong, Wei Song, Kyhyun Um, Jinyan Li, Haitao Guo and Kelvin K. L. Wong. Their work appears in journals such as PLoS ONE, Expert Systems with Applications and IEEE Access.
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.