Youngjun Yoo

917 citations
28 papers · 610 · h-index 10

Impact in

    • Image Enhancement Techniques
    • Advanced Vision and Imaging
    • Image and Signal Denoising Methods
    • Advanced Data Compression Techniques
    • Advanced Image Processing Techniques
    • Image Processing Techniques and Applications

Papers in

    • Advanced Vision and Imaging 8
    • Advanced Data Compression Techniques 7
    • Image and Signal Denoising Methods 4
    • Image Enhancement Techniques 4
    • Video Coding and Compression Technologies 3
    • Digital Filter Design and Implementation 3

Youngjun Yoo

28 papers receiving 577 citations

Peers

Youngjun Yoo
Comparison fields: 5 of 85
  • Computer Vision and Pattern Recognition 424
  • Media Technology 122
  • Signal Processing 53
  • Artificial Intelligence 144
  • Computational Mathematics 2
Replace Jari Korhonen with:
Jari Korhonen Denmark
Biao Gong China
Maojun Zhang China
Liangyu Chen China
Bertrand Zavidovique France
Mukesh D. Patil India
Rony Ferzli United States
Youngjun Yoo relative to Jari Korhonen Denmark Jari Korhonen's profile →
Citations per field
00.5×3.3×
Jari Korhonen · 1×
Citations per year

Countries citing papers authored by Youngjun Yoo

Since Specialization
Citations

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

Fields of papers citing papers by Youngjun Yoo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005244
2 2021147
3 199952
4 199928
5 202019
6 200216
7 202015
8 200213
9 200312
10 202011
11
Super-twisting algorithm-based sliding mode controller for a refrigeration system
20128
12 20025
13 20024
14
A Performance Comparison of Super Resolution Model with Different Activation Functions
20203
15
A novel redundancy resolution method to avoid joint limits and obstacles on anthropomorphic manipulator
20113
16 20083
17 20143
18 20023
19
New speed-flow curves for Perth
20093
20 20023

About Youngjun Yoo

Youngjun Yoo is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Control and Systems Engineering, Artificial Intelligence and Electrical and Electronic Engineering, having authored 28 papers that have together received 610 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (8 papers), Advanced Data Compression Techniques (7 papers), Image and Signal Denoising Methods (4 papers), Image Enhancement Techniques (4 papers), Image Processing Techniques and Applications (3 papers), Video Coding and Compression Technologies (3 papers), Digital Filter Design and Implementation (3 papers) and CCD and CMOS Imaging Sensors (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (424 citations), Media Technology (122 citations), Signal Processing (53 citations), Artificial Intelligence (144 citations) and Computational Mathematics (2 citations). Youngjun Yoo has collaborated with scholars based in United States and South Korea. Frequent co-authors include W.E. Snyder, Mark S. Drew, Rajeev Ramanath, Antonio Ortega, Jaekoo Lee, Daehee Kim, Seunghyun Park, Jinkyu Kim, Bin Yu and Nasser Kehtarnavaz. Their work appears in journals such as Computers in Industry, IEEE Signal Processing Magazine, IEEE Transactions on Image Processing, Sensors and BMC Medical Genomics.

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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