Sungjun Yoon

700 citations
14 papers · 434 · h-index 8

Impact in

Papers in

Sungjun Yoon

14 papers receiving 427 citations

Peers

Sungjun Yoon
Comparison fields: 5 of 97
  • Media Technology 58
  • Computer Vision and Pattern Recognition 98
  • Cell Biology 78
  • Biomaterials 60
  • Developmental Neuroscience 18
Replace Zsuzsanna Püspöki with:
Zsuzsanna Püspöki Switzerland
Kok Haur Ong Singapore
Qili Zhao China
Juhyun Lee United States
Akira Kubota Japan
John Ramunas Canada
Hsieh‐Fu Tsai Taiwan
Javier Selva Spain
Jingchen Li China
Nicholas J. Schaub United States
Sungjun Yoon relative to Zsuzsanna Püspöki Switzerland Zsuzsanna Püspöki's profile →
Citations per field
00.5×
Zsuzsanna Püspöki · 1×
Citations per year

Countries citing papers authored by Sungjun Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Sungjun Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sungjun Yoon, 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 Sungjun Yoon Line = papers co-authored together Sungjun Yoon links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2011118
2 2021106
3 201366
4 201945
5 201233
6 201924
7 202022
8 20189
9 20223
10 20082
11 20212
12 20172
13
A Case Study on Applications of Physical Interactive Systems in On-Line Games
20041
14 20081

About Sungjun Yoon

Sungjun Yoon is a scholar working on Cell Biology, Computer Vision and Pattern Recognition, Biomedical Engineering, Molecular Biology and Ecology, Evolution, Behavior and Systematics, having authored 14 papers that have together received 434 indexed citations. Recurring topics across this work include Skin and Cellular Biology Research (4 papers), Cellular Mechanics and Interactions (4 papers), Advanced Image Processing Techniques (3 papers), Graphene and Nanomaterials Applications (2 papers), Biocrusts and Microbial Ecology (2 papers), Advanced Vision and Imaging (2 papers), Pluripotent Stem Cells Research (2 papers) and Animal Genetics and Reproduction (2 papers). The work is most often cited by research in Media Technology (58 citations), Computer Vision and Pattern Recognition (98 citations), Cell Biology (78 citations), Biomaterials (60 citations) and Developmental Neuroscience (18 citations). Sungjun Yoon has collaborated with scholars based in South Korea, Germany and Sudan. Frequent co-authors include Tai Hyun Park, Rudolf E. Leube, JunWoo Lee, Manri Cheon, Won Jong Rhee, Nohyun Lee, Jeong Ah Kim, Taeghwan Hyeon, Jeong Ah Kim and Byung Hyo Kim. Their work appears in journals such as Reproduction Fertility and Development, Biomaterials, Scientific Reports, Frontiers in Cell and Developmental Biology and IEEE Transactions on Image Processing.

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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