Jooyoung Hahn
- Computer Vision and Pattern Recognition top 5%
- Computational Mechanics top 10%
- Media Technology top 10%
- Electrical and Electronic Engineering
- Biomedical Engineering
- Co-authors
- Xue‐Cheng TaiGinmo ChungChang-Ock LeeChunlin WuAlfred M. Bruckstein⋆Michael HintermüllerCarlos N. RautenbergByung Il Lee
- Topics
- Medical Image Segmentation Techniques (9 papers)Advanced Numerical Methods in Computational Mathematics (6 papers)Image and Signal Denoising Methods (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignComputational Mechanics
- Journals
- Journal of Computational PhysicsIEEE Transactions on Medical ImagingInternational Journal for Numerical Methods in Engineering
- Partner nations
- AustriaSouth KoreaSlovakia
In The Last Decade
Jooyoung Hahn
17 papers receiving 245 citations
Peers
Comparison fields: 5 of 42
- Computer Vision and Pattern Recognition 184
- Computational Mechanics 113
- Media Technology 38
- Electrical and Electronic Engineering 36
- Biomedical Engineering 35
Countries citing papers authored by Jooyoung Hahn
This map shows the geographic impact of Jooyoung Hahn'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 Jooyoung Hahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jooyoung Hahn more than expected).
Fields of papers citing papers by Jooyoung Hahn
This network shows the impact of papers produced by Jooyoung Hahn. 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 Jooyoung Hahn. The network helps show where Jooyoung Hahn may publish in the future.
Co-authorship network of co-authors of Jooyoung Hahn
This figure shows the co-authorship network connecting the top 25 collaborators of Jooyoung Hahn. A scholar is included among the top collaborators of Jooyoung Hahn 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 Jooyoung Hahn. Jooyoung Hahn 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 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 10 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 16 | |
| 9 | 2 | |
| 10 | 4 | |
| 11 | 24 | |
| 12 | 134 | |
| 13 | 23 | |
| 14 | 15 | |
| 15 | 10 | |
| 16 | 5 | |
| 17 | 29 | |
| 18 | Highly accurate segmentation using geometric attraction-driven flow in edge-regions | 1 |
| 19 | 1 |
About Jooyoung Hahn
Jooyoung Hahn is a scholar working on Computer Graphics and Computer-Aided Design, Computational Mechanics and Computer Vision and Pattern Recognition, having authored 19 papers that have together received 285 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (9 papers), Advanced Numerical Methods in Computational Mathematics (6 papers) and Image and Signal Denoising Methods (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (184 citations), Computer Graphics and Computer-Aided Design (25 citations) and Computational Mechanics (113 citations). Jooyoung Hahn has collaborated with scholars based in Austria, South Korea and Slovakia. Frequent co-authors include Xue‐Cheng Tai, Ginmo Chung, Chang-Ock Lee, Chunlin Wu, Alfred M. Bruckstein⋆, Michael Hintermüller, Carlos N. Rautenberg, Byung Il Lee, Soo Yeol Lee and Oh In Kwon. Their work appears in journals such as Journal of Computational Physics, IEEE Transactions on Medical Imaging and International Journal for Numerical Methods in Engineering.
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.