Se Hyun Park
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Media Technology top 5%
- Electrical and Electronic Engineering
- Biomedical Engineering
- Co-authors
- Keechul JungEun Yi KimHang Joon KimJin Wook KimYunhee ShinA. GanzDeok Hyun MoonJung Hyun Han
- Topics
- Advanced Image and Video Retrieval Techniques (6 papers)Image Retrieval and Classification Techniques (5 papers)Gaze Tracking and Assistive Technology (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligencePattern Recognition
- Partner nations
- South KoreaUnited StatesIsrael
In The Last Decade
Se Hyun Park
26 papers receiving 423 citations
Peers
Comparison fields: 5 of 89
- Computer Vision and Pattern Recognition 278
- Artificial Intelligence 119
- Media Technology 88
- Electrical and Electronic Engineering 30
- Biomedical Engineering 29
Countries citing papers authored by Se Hyun Park
This map shows the geographic impact of Se Hyun 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 Se Hyun Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Se Hyun Park more than expected).
Fields of papers citing papers by Se Hyun Park
This network shows the impact of papers produced by Se Hyun 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 Se Hyun Park. The network helps show where Se Hyun Park may publish in the future.
Co-authorship network of co-authors of Se Hyun Park
This figure shows the co-authorship network connecting the top 25 collaborators of Se Hyun Park. A scholar is included among the top collaborators of Se Hyun 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 Se Hyun Park. Se Hyun 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 | 1 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | Gaze Recognition Interface Development for Smart Wheelchair | 2 |
| 9 | Postoperative recurrences of odontogenic keratocyst: The behavior and proposal of critical follow-up period. | 4 |
| 10 | 10 | |
| 11 | Remote Water Quality Warning System Using Water Fleas | 1 |
| 12 | 31 | |
| 13 | 2 | |
| 14 | 6 | |
| 15 | 246 | |
| 16 | An OFDM Transmission Scheme Using Cyclic Suffix | 1 |
| 17 | 18 | |
| 18 | VEGA VISION: a vision system for recognizing license plates | 3 |
| 19 | 19 | |
| 20 | :ROBUSTRE-AUTHENTICATIONAND KEY EXCHANGE PROTOCOL FOR IEEE802.11 WIRELESSLANS | 3 |
About Se Hyun Park
Se Hyun Park is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 29 papers that have together received 461 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (6 papers), Image Retrieval and Classification Techniques (5 papers) and Gaze Tracking and Assistive Technology (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (278 citations), Media Technology (88 citations) and Artificial Intelligence (119 citations). Se Hyun Park has collaborated with scholars based in South Korea, United States and Israel. Frequent co-authors include Keechul Jung, Eun Yi Kim, Hang Joon Kim, Jin Wook Kim, Yunhee Shin, A. Ganz, Deok Hyun Moon, Jung Hyun Han, Kwang In Kim and Doron Shmilovitz. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Pattern Recognition.
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.