Sung-Kee Park
- Computer Vision and Pattern Recognition top 1%
- Media Technology top 1%
- Aerospace Engineering top 5%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Co-authors
- Dong Hwan KimYu-Li ChenSeong‐Whan LeeSeunghun JinXuan Dai PhamMunsang KimKyoung Mu LeeJae Wook Jeon
- Topics
- Robotics and Sensor-Based Localization (21 papers)Advanced Image and Video Retrieval Techniques (18 papers)Advanced Vision and Imaging (14 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE AccessInformation Sciences
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Sung-Kee Park
55 papers receiving 902 citations
Peers
Comparison fields: 5 of 89
- Computer Vision and Pattern Recognition 685
- Media Technology 258
- Aerospace Engineering 209
- Artificial Intelligence 143
- Electrical and Electronic Engineering 137
Countries citing papers authored by Sung-Kee Park
This map shows the geographic impact of Sung-Kee Park'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 Sung-Kee Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sung-Kee Park more than expected).
Fields of papers citing papers by Sung-Kee Park
This network shows the impact of papers produced by Sung-Kee Park. 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 Sung-Kee Park. The network helps show where Sung-Kee Park may publish in the future.
Co-authorship network of co-authors of Sung-Kee Park
This figure shows the co-authorship network connecting the top 25 collaborators of Sung-Kee Park. A scholar is included among the top collaborators of Sung-Kee Park 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 Sung-Kee Park. Sung-Kee Park is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 14 | |
| 4 | 14 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 93 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 54 | |
| 11 | 1 | |
| 12 | 20 | |
| 13 | 1 | |
| 14 | A New Shape-Based Object Category Recognition Technique using Affine Category Shape Model | 1 |
| 15 | 3 | |
| 16 | 3 | |
| 17 | Development of Pose-Invariant Face Recognition System for Mobile Robot Applications | 5 |
| 18 | Real-time Tracking of Multiple Humans for Mobile Robot Application | 2 |
| 19 | A New Landmark-Based Visual Servoing with Stereo Camera for Door Opening | 8 |
| 20 | Face detection and recognition with multiple appearance models for mobile robot application | 2 |
About Sung-Kee Park
Sung-Kee Park is a scholar working on Computer Vision and Pattern Recognition, Computational Mathematics and Aerospace Engineering, having authored 59 papers that have together received 960 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (21 papers), Advanced Image and Video Retrieval Techniques (18 papers) and Advanced Vision and Imaging (14 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (685 citations), Media Technology (258 citations) and Aerospace Engineering (209 citations). Sung-Kee Park has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Dong Hwan Kim, Yu-Li Chen, Seong‐Whan Lee, Seunghun Jin, Xuan Dai Pham, Munsang Kim, Kyoung Mu Lee, Jae Wook Jeon, Soohwan Kim and Dong-Gyu Lee. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and Information Sciences.
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.