Chou‐Chen Yang

747 citations
33 papers · 526 · h-index 12

Impact in

Papers in

Chou‐Chen Yang

30 papers receiving 476 citations

Peers

Chou‐Chen Yang
Comparison fields: 5 of 37
  • Computer Networks and Communications 340
  • Information Systems 283
  • Artificial Intelligence 322
  • Computer Vision and Pattern Recognition 132
  • Signal Processing 41
Replace Barbara Masucci with:
Barbara Masucci Italy
Ali Aydın Selçuk Türkiye
Marc Fischlin Germany
Chanathip Namprempre Thailand
Patrick Horster Germany
A. Freier
Ante Đerek United States
Changsha Ma United States
Emmanuel Bresson United States
Matthew W. Pagano United States
Chou‐Chen Yang relative to Barbara Masucci Italy Barbara Masucci's profile →
Citations per field
00.5×1.5×2.0×
Barbara Masucci · 1×
Citations per year

Countries citing papers authored by Chou‐Chen Yang

Since Specialization
Citations

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

Fields of papers citing papers by Chou‐Chen Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chou‐Chen Yang. 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 Chou‐Chen Yang. The network helps show where Chou‐Chen Yang may publish in the future.

Co-authors

The 8 scholars most cited alongside Chou‐Chen Yang, 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 Chou‐Chen Yang Line = papers co-authored together Chou‐Chen Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003146
2 2005125
3 200331
4 200430
5 202224
6 200423
7 200320
8 200418
9 200517
10 201316
11 200314
12 200313
13 20049
14 20048
15 20044
16 20044
17
Trusted DRM on P2P Network
20093
18 20053
19 20132
20 20042

About Chou‐Chen Yang

Chou‐Chen Yang is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 33 papers that have together received 526 indexed citations. Recurring topics across this work include Advanced Authentication Protocols Security (15 papers), Cryptography and Data Security (14 papers), Digital Rights Management and Security (7 papers), Advanced Steganography and Watermarking Techniques (7 papers), User Authentication and Security Systems (7 papers), Peer-to-Peer Network Technologies (5 papers), IPv6, Mobility, Handover, Networks, Security (5 papers) and Mobile Ad Hoc Networks (5 papers). The work is most often cited by research in Computer Networks and Communications (340 citations), Information Systems (283 citations), Artificial Intelligence (322 citations), Computer Vision and Pattern Recognition (132 citations) and Signal Processing (41 citations). Chou‐Chen Yang has collaborated with scholars based in Taiwan, Indonesia and Japan. Frequent co-authors include Ting‐Yi Chang, Min‐Shiang Hwang, Wei-Ting Liu, Yuh‐Min Tseng, Woei Lin, Ching‐Ying Lin, Huichuan Huang and Yawen Yang. Their work appears in journals such as Applied Mathematics and Computation, Computers & Security, Wireless Personal Communications, INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences and IET Information Security.

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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