Haneol Jang

521 citations
21 papers · 285 indexed · h-index 8
Topics
Advanced Steganography and Watermarking Techniques (10 papers)Digital Media Forensic Detection (10 papers)Biometric Identification and Security (6 papers)
Partner nations
South KoreaGermanyJapan

In The Last Decade

Haneol Jang

17 papers receiving 262 citations

Peers

Haneol Jang
Comparison fields: 5 of 36
  • Computer Vision and Pattern Recognition 260
  • Signal Processing 57
  • Artificial Intelligence 32
  • Media Technology 29
  • Computer Graphics and Computer-Aided Design 23
Replace Seung-Min Mun with:
Seung-Min Mun South Korea
Chiou-Ting Hsu Taiwan
Bor-Chun Chen Taiwan
Shuren Qi China
Junlin Ouyang China
Shant Navasardyan United States
Thumrongrat Amornraksa Thailand
Olivier Buisson France
Mohsen Jenadeleh Germany
Haneol Jang relative to Seung-Min Mun South Korea Seung-Min Mun's profile →
Citations per field
00.5×
Seung-Min Mun · 1×
Citations per year

Countries citing papers authored by Haneol Jang

Since Specialization
Citations

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

Fields of papers citing papers by Haneol Jang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haneol Jang

This figure shows the co-authorship network connecting the top 25 collaborators of Haneol Jang. A scholar is included among the top collaborators of Haneol Jang 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 Haneol Jang. Haneol Jang 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 0
4 0
5 3
6 1
7 1
8 1
9 112
10 7
11 22
12 15
13 33
14 54
15 6
16 9
17 3
18 1
19 7
20 3

About Haneol Jang

Haneol Jang is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Signal Processing, having authored 21 papers that have together received 285 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (10 papers), Digital Media Forensic Detection (10 papers) and Biometric Identification and Security (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (260 citations), Computer Graphics and Computer-Aided Design (23 citations) and Signal Processing (57 citations). Haneol Jang has collaborated with scholars based in South Korea, Germany and Japan. Frequent co-authors include Heung-Kyu Lee, Seung-Min Mun, Dongkyu Kim, Seung-Hun Nam, Sunghee Choi, Jong‐Uk Hou, Daniel Weiskopf, Filip Sadlo, Marcel Hlawatsch and In-Jae Yu. Their work appears in journals such as Scientific Reports, IEEE Access and Sensors.

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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