Jonghyun Park
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Media Technology top 5%
- Surgery
- Cardiology and Cardiovascular Medicine
- Co-authors
- Guee-Sang LeeHee Chan KimSeung-Man YangSaram LeeMyong K. JeongSeung Hwa BaekSuk Joo BaeGérard Medioni
- Topics
- Image Retrieval and Classification Techniques (18 papers)Handwritten Text Recognition Techniques (11 papers)Vehicle License Plate Recognition (9 papers)
- Partner nations
- South KoreaJapanUnited States
In The Last Decade
Jonghyun Park
61 papers receiving 496 citations
Peers
Comparison fields: 5 of 118
- Computer Vision and Pattern Recognition 212
- Biomedical Engineering 120
- Media Technology 94
- Surgery 76
- Cardiology and Cardiovascular Medicine 61
Countries citing papers authored by Jonghyun Park
This map shows the geographic impact of Jonghyun 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 Jonghyun Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonghyun Park more than expected).
Fields of papers citing papers by Jonghyun Park
This network shows the impact of papers produced by Jonghyun 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 Jonghyun Park. The network helps show where Jonghyun Park may publish in the future.
Co-authorship network of co-authors of Jonghyun Park
This figure shows the co-authorship network connecting the top 25 collaborators of Jonghyun Park. A scholar is included among the top collaborators of Jonghyun 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 Jonghyun Park. Jonghyun 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 | 1 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 16 | |
| 9 | 7 | |
| 10 | 35 | |
| 11 | 27 | |
| 12 | 15 | |
| 13 | 8 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 0 | |
| 17 | Combining Fuzzy C-means Clustering and Flood Filling Algorithm for Enhancing Text Binarization | 1 |
| 18 | 1 | |
| 19 | 6 | |
| 20 | Development of Receiving and Image Processing System of GMS/WEFAX Using PC(II) - Software for Receiving and Image Processing - | 1 |
About Jonghyun Park
Jonghyun Park is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computer Graphics and Computer-Aided Design, having authored 65 papers that have together received 527 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (18 papers), Handwritten Text Recognition Techniques (11 papers) and Vehicle License Plate Recognition (9 papers). The work is most often cited by research in Media Technology (94 citations), Computer Vision and Pattern Recognition (212 citations) and Biomedical Engineering (120 citations). Jonghyun Park has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Guee-Sang Lee, Hee Chan Kim, Seung-Man Yang, Saram Lee, Myong K. Jeong, Seung Hwa Baek, Suk Joo Bae, Gérard Medioni, Myung‐Sun Kim and Hyung-Jeong Yang. Their work appears in journals such as Journal of Cleaner Production, Chemical Engineering Journal and Chemosphere.
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.