Jong‐Yun Kim
- Computer Vision and Pattern Recognition top 10%
- Aerospace Engineering top 10%
- Electrical and Electronic Engineering
- Education top 10%
- Developmental and Educational Psychology
- Co-authors
- Hyondong OhByeong‐Young ChoPeter AfflerbachSeongjae LeeIn LeeYeo‐Joo YoonYong Sun WonJae‐Sung Bae
- Topics
- Chaos-based Image/Signal Encryption (6 papers)Neuroscience and Neural Engineering (4 papers)3D Printing in Biomedical Research (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionAerospace EngineeringDevelopmental and Educational Psychology
- Partner nations
- South KoreaUnited KingdomIreland
In The Last Decade
Jong‐Yun Kim
32 papers receiving 362 citations
Peers
Comparison fields: 5 of 89
- Computer Vision and Pattern Recognition 116
- Aerospace Engineering 100
- Electrical and Electronic Engineering 85
- Education 72
- Developmental and Educational Psychology 46
Countries citing papers authored by Jong‐Yun Kim
This map shows the geographic impact of Jong‐Yun Kim'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 Jong‐Yun Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jong‐Yun Kim more than expected).
Fields of papers citing papers by Jong‐Yun Kim
This network shows the impact of papers produced by Jong‐Yun Kim. 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 Jong‐Yun Kim. The network helps show where Jong‐Yun Kim may publish in the future.
Co-authorship network of co-authors of Jong‐Yun Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Jong‐Yun Kim. A scholar is included among the top collaborators of Jong‐Yun Kim 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 Jong‐Yun Kim. Jong‐Yun Kim 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 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 7 | |
| 6 | 34 | |
| 7 | 2 | |
| 8 | 10 | |
| 9 | 23 | |
| 10 | 0 | |
| 11 | 49 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 20 | |
| 16 | Identification and Decryption of Fully phase-encrypted image Using Joint Transform Correlator Structure | 1 |
| 17 | 1 | |
| 18 | 3 | |
| 19 | 10 | |
| 20 | A priori estimates for elliptic boundary value problems with nonlinear boundary conditions | 1 |
About Jong‐Yun Kim
Jong‐Yun Kim is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Aerospace Engineering, having authored 36 papers that have together received 392 indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (6 papers), Neuroscience and Neural Engineering (4 papers) and 3D Printing in Biomedical Research (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (116 citations), Aerospace Engineering (100 citations) and Developmental and Educational Psychology (46 citations). Jong‐Yun Kim has collaborated with scholars based in South Korea, United Kingdom and Ireland. Frequent co-authors include Hyondong Oh, Byeong‐Young Cho, Peter Afflerbach, Seongjae Lee, In Lee, Yeo‐Joo Yoon, Yong Sun Won, Jae‐Sung Bae, Seungkeun Kim and Sung Soo Park. Their work appears in journals such as ACS Nano, Chemical Engineering Journal and Expert Systems with Applications.
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.