Chao-Chin Yang

895 citations
55 papers · 643 · h-index 14

Impact in

Papers in

Chao-Chin Yang

52 papers receiving 606 citations

Peers

Chao-Chin Yang
Comparison fields: 5 of 68
  • Artificial Intelligence 320
  • Electrical and Electronic Engineering 565
  • Computer Networks and Communications 142
  • Discrete Mathematics and Combinatorics 14
  • Hematology 45
Replace Robert L. McFarland with:
Robert L. McFarland United States
Cristina Fernández-Córdoba Spain
Daniel M. Davenport United States
Renato Vicente Brazil
Sanjoy Mahajan United States
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Ignacio Martín Spain
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Citations per field
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Citations per year

Countries citing papers authored by Chao-Chin Yang

Since Specialization
Citations

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

Fields of papers citing papers by Chao-Chin Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chao-Chin 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 Chao-Chin Yang. The network helps show where Chao-Chin Yang may publish in the future.

Co-authors

The 10 scholars most cited alongside Chao-Chin 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 Chao-Chin Yang Line = papers co-authored together Chao-Chin Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200481
2 200364
3 200555
4 200839
5 201033
6 200233
7 200730
8 201124
9 200721
10 200318
11 200618
12 200217
13 200615
14 200813
15 201411
16 200610
17 201210
18 201510
19 20119
20 20079

About Chao-Chin Yang

Chao-Chin Yang is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Computer Networks and Communications, Education and Social Psychology, having authored 55 papers that have together received 643 indexed citations. Recurring topics across this work include graph theory and CDMA systems (41 papers), Coding theory and cryptography (27 papers), Optical Network Technologies (15 papers), Advanced Photonic Communication Systems (14 papers), Wireless Communication Networks Research (7 papers), Error Correcting Code Techniques (6 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Advanced Wireless Communication Techniques (3 papers). The work is most often cited by research in Artificial Intelligence (320 citations), Electrical and Electronic Engineering (565 citations), Computer Networks and Communications (142 citations), Discrete Mathematics and Combinatorics (14 citations) and Hematology (45 citations). Chao-Chin Yang has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Jen-Fa Huang, Jing‐Fang Huang, Wen‐Bin Chiou, Kai-Sheng Chen, Shiyi Cao, Jing Zhao, Tzu-ling Chen, Yi‐Hsien Wang, Chung‐Hao Li and Shengwen Wang. Their work appears in journals such as IEEE Communications Letters, IEEE Photonics Technology Letters, IEEE Transactions on Communications, Optical Fiber Technology and Journal of Lightwave Technology.

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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