Jong-Jy Shyu

1.0k citations
52 papers · 827 · h-index 17

Impact in

Papers in

Jong-Jy Shyu

49 papers receiving 784 citations

Peers

Jong-Jy Shyu
Comparison fields: 5 of 43
  • Signal Processing 579
  • Modeling and Simulation 72
  • Computational Mechanics 310
  • Computer Vision and Pattern Recognition 302
  • Numerical Analysis 46
Replace G.A. Mian with:
G.A. Mian Italy
Phillip A. Regalia United States
Wei‐Yong Yan Australia
Yi-Fei Pu China
Dongfang Li China
Bijan Afsari United States
M.N.S. Swamy Canada
M. Mansour United States
G. Marchesini Italy
Cyrus Jahanchahi United Kingdom
Jong-Jy Shyu relative to G.A. Mian Italy G.A. Mian's profile →
Citations per field
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G.A. Mian · 1×
Citations per year

Countries citing papers authored by Jong-Jy Shyu

Since Specialization
Citations

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

Fields of papers citing papers by Jong-Jy Shyu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jong-Jy Shyu. 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 Jong-Jy Shyu. The network helps show where Jong-Jy Shyu may publish in the future.

Co-authors

The 5 scholars most cited alongside Jong-Jy Shyu, 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 Jong-Jy Shyu Line = papers co-authored together Jong-Jy Shyu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199894
2 198891
3 198982
4 200875
5 200837
6 200737
7 199432
8 199332
9 200926
10 200925
11 199622
12 199521
13 200820
14 199519
15 200818
16 200918
17 199216
18 201213
19 199413
20 201110

About Jong-Jy Shyu

Jong-Jy Shyu is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Computational Mechanics, Computational Theory and Mathematics and Electrical and Electronic Engineering, having authored 52 papers that have together received 827 indexed citations. Recurring topics across this work include Digital Filter Design and Implementation (52 papers), Image and Signal Denoising Methods (24 papers), Advanced Adaptive Filtering Techniques (22 papers), Numerical Methods and Algorithms (15 papers), Analog and Mixed-Signal Circuit Design (10 papers), Advancements in PLL and VCO Technologies (8 papers), Advanced Data Compression Techniques (5 papers) and Advanced Numerical Analysis Techniques (4 papers). The work is most often cited by research in Signal Processing (579 citations), Modeling and Simulation (72 citations), Computational Mechanics (310 citations), Computer Vision and Pattern Recognition (302 citations) and Numerical Analysis (46 citations). Jong-Jy Shyu has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Soo‐Chang Pei, Soo-Chang Pei, Min-Hung Yeh, Chien‐Cheng Tseng and Richard Hsin-Hsyong Yang. Their work appears in journals such as Signal Processing, IEEE Transactions on Signal Processing, IEEE Transactions on Circuits and Systems I Regular Papers, IEEE Transactions on Circuits and Systems for Video Technology and IEEE Signal Processing Letters.

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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