Sung‐Eui Yoon

3.9k citations
150 papers · 2.7k · 1 hit paper · h-index 32

Impact in

Papers in

Sung‐Eui Yoon

142 papers receiving 2.6k citations

Sung‐Eui Yoon's Hit Papers

Part-based Pseudo Label Refinement for Unsupervised Person Re-identification 2022 · 196 citations
1960+1+2Years since publication50100150

Peers

Sung‐Eui Yoon
Comparison fields: 5 of 91
  • Computer Graphics and Computer-Aided Design 1.2k
  • Computer Vision and Pattern Recognition 2.1k
  • Computational Mechanics 599
  • Signal Processing 201
  • Media Technology 125
Replace Tomas Akenine‐Möller with:
Tomas Akenine‐Möller Sweden
James T. Klosowski United States
Bernhard Kerbl Austria
P. J. Narayanan India
Jun‐Hai Yong China
Stefan Gumhold Germany
Charles Loop United States
Yinda Zhang United States
Sunghee Choi South Korea
Avneesh Sud United States
Sung‐Eui Yoon relative to Tomas Akenine‐Möller Sweden Tomas Akenine‐Möller's profile →
Citations per field
00.5×4.5×
Tomas Akenine‐Möller · 1×
Citations per year

Countries citing papers authored by Sung‐Eui Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Sung‐Eui Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 150 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012267
2
Part-based Pseudo Label Refinement for Unsupervised Person Re-identification
Hit paper breakdown →
2022196
3 200697
4 201580
5 200579
6 200966
7 201464
8 200957
9 200557
10 202054
11 200650
12 201144
13 200743
14 200842
15 202141
16 200339
17 200639
18 200638
19 200538
20 200637

About Sung‐Eui Yoon

Sung‐Eui Yoon is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Aerospace Engineering, Computational Mechanics and Signal Processing, having authored 150 papers that have together received 2.7k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (59 papers), Advanced Vision and Imaging (36 papers), Robotic Path Planning Algorithms (34 papers), Robotics and Sensor-Based Localization (26 papers), Computational Geometry and Mesh Generation (25 papers), 3D Shape Modeling and Analysis (24 papers), Advanced Image and Video Retrieval Techniques (18 papers) and Image Enhancement Techniques (10 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (1.2k citations), Computer Vision and Pattern Recognition (2.1k citations), Computational Mechanics (599 citations), Signal Processing (201 citations) and Media Technology (125 citations). Sung‐Eui Yoon has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Dinesh Manocha, Jae‐Pil Heo, Youngwoon Lee, Junfeng He, Bochang Moon, Peter Lindström, Woo Jae Kim, Shih-Fu Chang, Seunghoon Hong and Christian Lauterbach. Their work appears in journals such as Computer Graphics Forum, ACM Transactions on Graphics, IEEE Transactions on Visualization and Computer Graphics, The Visual Computer and IEEE Robotics and Automation Letters.

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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