Daniel S. Jeon
- Computer Vision and Pattern Recognition top 2%
- Biomedical Engineering top 10%
- Media Technology top 1%
- Computational Mechanics top 5%
- Atomic and Molecular Physics, and Optics
- Co-authors
- Min H. KimInchang ChoiDiego GutiérrezSeung‐Hwan BaekGiljoo NamWolfgang HeidrichSeung-Hwan BaekXin Tong
- Topics
- Advanced Vision and Imaging (5 papers)Optical Coherence Tomography Applications (4 papers)Computer Graphics and Visualization Techniques (4 papers)
- Partner nations
- South KoreaCanadaSpain
In The Last Decade
Daniel S. Jeon
20 papers receiving 737 citations
Peers
Comparison fields: 5 of 57
- Computer Vision and Pattern Recognition 429
- Biomedical Engineering 299
- Media Technology 296
- Computational Mechanics 151
- Atomic and Molecular Physics, and Optics 83
Countries citing papers authored by Daniel S. Jeon
This map shows the geographic impact of Daniel S. Jeon'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 Daniel S. Jeon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel S. Jeon more than expected).
Fields of papers citing papers by Daniel S. Jeon
This network shows the impact of papers produced by Daniel S. Jeon. 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 Daniel S. Jeon. The network helps show where Daniel S. Jeon may publish in the future.
Co-authorship network of co-authors of Daniel S. Jeon
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel S. Jeon. A scholar is included among the top collaborators of Daniel S. Jeon 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 Daniel S. Jeon. Daniel S. Jeon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 21 | |
| 5 | 1 | |
| 6 | 72 | |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 17 | |
| 10 | End-to-End Hyperspectral-Depth Imaging with Learned Diffractive Optics | 9 |
| 11 | 128 | |
| 12 | 60 | |
| 13 | 47 | |
| 14 | 71 | |
| 15 | 107 | |
| 16 | 206 | |
| 17 | 12 | |
| 18 | 2 | |
| 19 | 5 | |
| 20 | 0 |
About Daniel S. Jeon
Daniel S. Jeon is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Media Technology, having authored 21 papers that have together received 776 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (5 papers), Optical Coherence Tomography Applications (4 papers) and Computer Graphics and Visualization Techniques (4 papers). The work is most often cited by research in Acoustics and Ultrasonics (63 citations), Media Technology (296 citations) and Computer Vision and Pattern Recognition (429 citations). Daniel S. Jeon has collaborated with scholars based in South Korea, Canada and Spain. Frequent co-authors include Min H. Kim, Inchang Choi, Diego Gutiérrez, Seung‐Hwan Baek, Giljoo Nam, Wolfgang Heidrich, Seung-Hwan Baek, Xin Tong, Qiang Fu and Xiong Dun. Their work appears in journals such as ACM Transactions on Graphics, Light Science & Applications and Computer Graphics Forum.
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.