Seok-Woo Jang

407 citations
70 papers · 251 · h-index 9

Impact in

Papers in

    • Advanced Vision and Imaging 12
    • Face recognition and analysis 11
    • Video Surveillance and Tracking Methods 10
    • Advanced Image and Video Retrieval Techniques 9
    • Digital Media Forensic Detection 8
    • Face and Expression Recognition 7
    • Biometric Identification and Security 6

Seok-Woo Jang

50 papers receiving 228 citations

Peers

Seok-Woo Jang
Comparison fields: 5 of 71
  • Computer Vision and Pattern Recognition 133
  • Signal Processing 30
  • Media Technology 23
  • Experimental and Cognitive Psychology 24
  • Human-Computer Interaction 10
Replace Abdelrahman Elleithy with:
Abdelrahman Elleithy United States
T.X. Han United States
T. Mita Japan
Shinji Ozawa Japan
Marco Cascio Italy
Feiyu Chen China
Christopher K. Eveland United States
Iván Huerta Spain
Yong-Ho Seo South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Seok-Woo Jang

Since Specialization
Citations

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

Fields of papers citing papers by Seok-Woo Jang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seok-Woo Jang. 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 Seok-Woo Jang. The network helps show where Seok-Woo Jang may publish in the future.

Co-authors

The 20 scholars most cited alongside Seok-Woo Jang, 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 Seok-Woo Jang Line = papers co-authored together Seok-Woo Jang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200240
2 202033
3 200424
4 200514
5 202013
6 201111
7 201610
8 20209
9 20178
10 20127
11 20165
12 20164
13 20084
14 20203
15 20203
16 20153
17 20143
18 20203
19 20193
20 20142

About Seok-Woo Jang

Seok-Woo Jang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Computer Networks and Communications and Media Technology, having authored 70 papers that have together received 251 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (12 papers), Face recognition and analysis (11 papers), Video Surveillance and Tracking Methods (10 papers), Advanced Image and Video Retrieval Techniques (9 papers), Digital Media Forensic Detection (8 papers), Face and Expression Recognition (7 papers), Biometric Identification and Security (6 papers) and Image Processing Techniques and Applications (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (133 citations), Signal Processing (30 citations), Media Technology (23 citations), Experimental and Cognitive Psychology (24 citations) and Human-Computer Interaction (10 citations). Seok-Woo Jang has collaborated with scholars based in South Korea and United States. Frequent co-authors include Gye-Young Kim, Hyung–Il Choi, Daesik Jang, Sang-Hong Lee, Myunghee Jung, Marc Pomplun, Young-Jae Park, Ilkoo Noh, Young-Ho Seo and Samuel Lee. Their work appears in journals such as Multimedia Tools and Applications, Sustainability, International Journal of Intelligent Systems, Water and Electronics 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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