Daniel S. Jeon

1.1k citations
21 papers · 776 indexed · h-index 10

Daniel S. Jeon

20 papers receiving 737 citations

Peers

Daniel S. Jeon
Comparison fields: 5 of 57
  • Acoustics and Ultrasonics 63
  • Media Technology 296
  • Computer Vision and Pattern Recognition 429
  • Computer Graphics and Computer-Aided Design 61
  • Biophysics 57
Replace Seung‐Hwan Baek with:
Seung‐Hwan Baek South Korea
Xiong Dun China
Jung‐Ping Liu Taiwan
Praneeth Chakravarthula United States
Ankit Mohan United States
Jiaosheng Li China
Todor Georgiev United States
Jonghyun Kim South Korea
James Gregson Canada
Ryutaro Oi Japan
Daniel S. Jeon relative to Seung‐Hwan Baek South Korea Seung‐Hwan Baek's profile →
Citations per field
00.5×5.2×
Seung‐Hwan Baek · 1×
Citations per year

Countries citing papers authored by Daniel S. Jeon

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Daniel S. Jeon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel S. Jeon Line = papers co-authored together Daniel S. Jeon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20232
2 20231
3 20224
4 202221
5 20211
6 202172
7 20216
8 20211
9 202117
10
End-to-End Hyperspectral-Depth Imaging with Learned Diffractive Optics
20209
11 2019128
12 201860
13 201847
14 201871
15 2018107
16 2017206
17 201612
18 20162
19 20155
20 20030

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), Computer Graphics and Visualization Techniques (4 papers), Optical measurement and interference techniques (4 papers), Advanced Image Processing Techniques (3 papers), Advanced optical system design (3 papers), Image Processing Techniques and Applications (3 papers) and Sparse and Compressive Sensing Techniques (2 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.

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