Seung-Hun Nam

862 citations
25 papers · 511 indexed · h-index 11
Topics
Digital Media Forensic Detection (14 papers)Advanced Steganography and Watermarking Techniques (13 papers)Advanced Image Processing Techniques (5 papers)

In The Last Decade

Seung-Hun Nam

23 papers receiving 498 citations

Peers

Seung-Hun Nam
Comparison fields: 5 of 59
  • Computer Vision and Pattern Recognition 430
  • Media Technology 116
  • Artificial Intelligence 61
  • Internal Medicine 45
  • Biophysics 35
Replace Giuseppe Mazzola with:
Giuseppe Mazzola Italy
Kenneth R. Persons United States
Alan Anwer Abdulla Iraq
Deepti Mittal India
Reza Moradi Rad Canada
Ayesha Siddiqa Pakistan
Nitin Singhal South Korea
Artur Przelaskowski Poland
Seung-Hun Nam relative to Giuseppe Mazzola Italy Giuseppe Mazzola's profile →
Citations per field
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Giuseppe Mazzola · 1×
Citations per year

Countries citing papers authored by Seung-Hun Nam

Since Specialization
Citations

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

Fields of papers citing papers by Seung-Hun Nam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seung-Hun Nam. 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 Seung-Hun Nam. The network helps show where Seung-Hun Nam may publish in the future.

Co-authorship network of co-authors of Seung-Hun Nam

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 9
4 4
5 10
6 75
7 101
8 18
9 14
10 11
11 9
12 112
13 5
14 17
15 13
16 24
17 7
18 57
19 6
20 1

About Seung-Hun Nam

Seung-Hun Nam is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Metals and Alloys, having authored 25 papers that have together received 511 indexed citations. Recurring topics across this work include Digital Media Forensic Detection (14 papers), Advanced Steganography and Watermarking Techniques (13 papers) and Advanced Image Processing Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (430 citations), Media Technology (116 citations) and Internal Medicine (45 citations). Seung-Hun Nam has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Heung-Kyu Lee, In-Jae Yu, Myung-Joon Kwon, Seung-Min Mun, Dongkyu Kim, Haneol Jang, Changick Kim, Sunghee Choi, Doyeun Oh and Sumi Bang. Their work appears in journals such as IEEE Access, International Journal of Computer Vision and Neurocomputing.

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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