Chunghyun Ahn

633 citations
42 papers · 377 indexed · h-index 11
Topics
Multimedia Communication and Technology (14 papers)Telecommunications and Broadcasting Technologies (12 papers)Advanced Vision and Imaging (9 papers)
Partner nations
South KoreaJapanCanada

In The Last Decade

Chunghyun Ahn

38 papers receiving 354 citations

Peers

Chunghyun Ahn
Comparison fields: 5 of 79
  • Computer Vision and Pattern Recognition 132
  • Signal Processing 129
  • Artificial Intelligence 90
  • Media Technology 76
  • Experimental and Cognitive Psychology 58
Replace Karina Toscano-Medina with:
Karina Toscano-Medina Mexico
Hong-Jiang Zhang China
Liang-Hua Chen Taiwan
Youbao Tang China
Shuyang Wang China
Sha Xin Wei United States
Mohammed A. M. Abdullah Iraq
Ngoc‐Son Vu France
Chunghyun Ahn relative to Karina Toscano-Medina Mexico Karina Toscano-Medina's profile →
Citations per field
00.5×5.8×
Karina Toscano-Medina · 1×
Citations per year

Countries citing papers authored by Chunghyun Ahn

Since Specialization
Citations

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

Fields of papers citing papers by Chunghyun Ahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chunghyun Ahn

This figure shows the co-authorship network connecting the top 25 collaborators of Chunghyun Ahn. A scholar is included among the top collaborators of Chunghyun Ahn 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 Chunghyun Ahn. Chunghyun Ahn 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 53
2 4
3 39
4 7
5 0
6 1
7 1
8 0
9 1
10 3
11 5
12 15
13 9
14 13
15 3
16 20
17 1
18 4
19 15
20 10

About Chunghyun Ahn

Chunghyun Ahn is a scholar working on Media Technology, Signal Processing and Computer Vision and Pattern Recognition, having authored 42 papers that have together received 377 indexed citations. Recurring topics across this work include Multimedia Communication and Technology (14 papers), Telecommunications and Broadcasting Technologies (12 papers) and Advanced Vision and Imaging (9 papers). The work is most often cited by research in Signal Processing (129 citations), Media Technology (76 citations) and Computer Vision and Pattern Recognition (132 citations). Chunghyun Ahn has collaborated with scholars based in South Korea, Japan and Canada. Frequent co-authors include Hong-Goo Kang, Soo In Lee, Namho Hur, Chieteuk Ahn, Sihaeng Lee, Gwangsoon Lee, Heechul Jung, Junmo Kim, Injae Lee and Byungju Kim. Their work appears in journals such as British Journal of Cancer, IEEE Signal Processing Letters and IEEE Transactions on Consumer Electronics.

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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