Chu Yu

430 citations
49 papers · 300 indexed · h-index 8

Impact in

Papers in

Chu Yu

41 papers receiving 277 citations

Peers

Chu Yu
Comparison fields: 5 of 32
  • Signal Processing 149
  • Computer Vision and Pattern Recognition 113
  • Media Technology 27
  • Computational Theory and Mathematics 47
  • Hardware and Architecture 17
Replace Gene C. H. Chuang with:
Gene C. H. Chuang Taiwan
R.C.S. Morling United Kingdom
P.A. Ruetz United States
V. Krishnan United States
Yu-Wei Lin Taiwan
N. Demassieux France
W.E. Alexander United States
K. Poulose Jacob India
Doru Florin Chiper Romania
W.K. Cham Hong Kong
Chu Yu relative to Gene C. H. Chuang Taiwan Gene C. H. Chuang's profile →
Citations per field
00.5×2.7×
Gene C. H. Chuang · 1×
Citations per year

Countries citing papers authored by Chu Yu

Since Specialization
Citations

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

Fields of papers citing papers by Chu Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chu Yu, 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 Chu Yu Line = papers co-authored together Chu Yu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20230
3 20231
4 20200
5 20174
6 20151
7 20146
8 201449
9 20143
10 20133
11 20123
12 20123
13 201121
14 20100
15 20102
16 20090
17 20091
18 20030
19 20032
20 199730

About Chu Yu

Chu Yu is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence, having authored 49 papers that have together received 300 indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (13 papers), Digital Filter Design and Implementation (11 papers), Error Correcting Code Techniques (10 papers), Image and Signal Denoising Methods (9 papers), Advanced Data Compression Techniques (8 papers), Speech and Audio Processing (5 papers), Advanced Adaptive Filtering Techniques (5 papers) and Coding theory and cryptography (5 papers). The work is most often cited by research in Signal Processing (149 citations), Computer Vision and Pattern Recognition (113 citations), Media Technology (27 citations), Computational Theory and Mathematics (47 citations) and Hardware and Architecture (17 citations). Chu Yu has collaborated with scholars based in Taiwan, United States and Hong Kong. Frequent co-authors include Sao‐Jie Chen, Mao‐Hsu Yen, Pao‐Ann Hsiung, Hwai-Tsu Hu, Ling-Yuan Hsu, Po‐Hsun Cheng, Bor-Shing Lin, Yushan Su, Yuting Liu and Yu Hen Hu. Their work appears in journals such as IEEE Transactions on Consumer Electronics, International Journal of Environmental Research and Public Health, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Transactions on Circuits & Systems II Express Briefs and Signal Processing.

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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