Sung-Wook Park
- Artificial Intelligence
- Molecular Biology
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering
- Plant Science
- Co-authors
- Jong-Chan KimJun‐Ho HuhJae-Sub KoYoungsun KwonSeunghyun KimKwan H. LeeDoyeon KimSe-Hoon Jung
- Topics
- Advanced Neural Network Applications (4 papers)Generative Adversarial Networks and Image Synthesis (3 papers)Medical Image Segmentation Techniques (2 papers)
- Cited by
- Energy Engineering and Power TechnologyComputer Vision and Pattern RecognitionMedia Technology
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsIEEE Access
- Partner nations
- South KoreaJapanUnited Kingdom
In The Last Decade
Sung-Wook Park
24 papers receiving 287 citations
Peers
Comparison fields: 5 of 106
- Artificial Intelligence 70
- Molecular Biology 54
- Computer Vision and Pattern Recognition 53
- Electrical and Electronic Engineering 45
- Plant Science 34
Countries citing papers authored by Sung-Wook Park
This map shows the geographic impact of Sung-Wook 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-Wook 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-Wook Park more than expected).
Fields of papers citing papers by Sung-Wook Park
This network shows the impact of papers produced by Sung-Wook 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-Wook Park. The network helps show where Sung-Wook Park may publish in the future.
Co-authorship network of co-authors of Sung-Wook Park
This figure shows the co-authorship network connecting the top 25 collaborators of Sung-Wook Park. A scholar is included among the top collaborators of Sung-Wook 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-Wook Park. Sung-Wook 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 | 0 | |
| 2 | 5 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 8 | |
| 6 | 6 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 32 | |
| 10 | 38 | |
| 11 | 23 | |
| 12 | 7 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 24 | |
| 17 | 3 | |
| 18 | 1 | |
| 19 | 20 | |
| 20 | 9 |
About Sung-Wook Park
Sung-Wook Park is a scholar working on Computer Vision and Pattern Recognition, Neurology and Artificial Intelligence, having authored 28 papers that have together received 303 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (4 papers), Generative Adversarial Networks and Image Synthesis (3 papers) and Medical Image Segmentation Techniques (2 papers). The work is most often cited by research in Energy Engineering and Power Technology (9 citations), Computer Vision and Pattern Recognition (53 citations) and Media Technology (20 citations). Sung-Wook Park has collaborated with scholars based in South Korea, Japan and United Kingdom. Frequent co-authors include Jong-Chan Kim, Jun‐Ho Huh, Jae-Sub Ko, Youngsun Kwon, Seunghyun Kim, Kwan H. Lee, Doyeon Kim, Se-Hoon Jung, Masahiro Okada and Minoru Ueda. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports 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.