Daeyun Shin

16 total papers · 464 total citations
5 papers, 166 citations indexed

About

Daeyun Shin is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Daeyun Shin has authored 5 papers receiving a total of 166 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 2 papers in Computational Mechanics and 1 paper in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Daeyun Shin's work include Advanced Vision and Imaging (3 papers), 3D Shape Modeling and Analysis (2 papers) and Image Processing Techniques and Applications (1 paper). Daeyun Shin is often cited by papers focused on Advanced Vision and Imaging (3 papers), 3D Shape Modeling and Analysis (2 papers) and Image Processing Techniques and Applications (1 paper). Daeyun Shin collaborates with scholars based in United States and South Korea. Daeyun Shin's co-authors include Derek Hoiem, Charless C. Fowlkes, Jason Rock, Tanmay Gupta, JunYoung Gwak, Shu Kong, Yangwon Lee, Kwang Jin Kim, Jiwon Kim and No-Wook Park and has published in prestigious journals such as International Journal of Remote Sensing.

In The Last Decade

Daeyun Shin

4 papers receiving 161 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daeyun Shin 127 87 46 46 33 5 166
Jhony Kaesemodel Pontes 187 1.5× 102 1.2× 20 0.4× 82 1.8× 28 0.8× 6 255
Rui Zhu 194 1.5× 40 0.5× 36 0.8× 52 1.1× 60 1.8× 8 223
Benjamin Ummenhofer 157 1.2× 66 0.8× 40 0.9× 51 1.1× 64 1.9× 9 219
Jonathan T. Barron 184 1.4× 114 1.3× 38 0.8× 156 3.4× 22 0.7× 8 270
Christian Reiser 155 1.2× 105 1.2× 31 0.7× 143 3.1× 17 0.5× 5 226
Jason Rock 227 1.8× 72 0.8× 36 0.8× 49 1.1× 33 1.0× 5 260
Maria Klodt 118 0.9× 28 0.3× 21 0.5× 27 0.6× 39 1.2× 7 200
Anpei Chen 196 1.5× 83 1.0× 25 0.5× 125 2.7× 35 1.1× 5 256
Gaku Narita 223 1.8× 61 0.7× 70 1.5× 33 0.7× 108 3.3× 5 291
Matt Deitke 153 1.2× 96 1.1× 32 0.7× 95 2.1× 20 0.6× 4 231

Countries citing papers authored by Daeyun Shin

Since Specialization
Citations

This map shows the geographic impact of Daeyun Shin'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 Daeyun Shin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daeyun Shin more than expected).

Fields of papers citing papers by Daeyun Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daeyun Shin. 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 Daeyun Shin. The network helps show where Daeyun Shin may publish in the future.

Co-authorship network of co-authors of Daeyun Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Daeyun Shin. A scholar is included among the top collaborators of Daeyun Shin 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 Daeyun Shin. Daeyun Shin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026