Soo‐Chang Pei

529 total papers · 10.6k total citations
428 papers, 8.0k citations indexed

About

Soo‐Chang Pei is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computational Mechanics. According to data from OpenAlex, Soo‐Chang Pei has authored 428 papers receiving a total of 8.0k indexed citations (citations by other indexed papers that have themselves been cited), including 291 papers in Computer Vision and Pattern Recognition, 225 papers in Signal Processing and 102 papers in Computational Mechanics. Recurrent topics in Soo‐Chang Pei's work include Digital Filter Design and Implementation (180 papers), Image and Signal Denoising Methods (153 papers) and Mathematical Analysis and Transform Methods (75 papers). Soo‐Chang Pei is often cited by papers focused on Digital Filter Design and Implementation (180 papers), Image and Signal Denoising Methods (153 papers) and Mathematical Analysis and Transform Methods (75 papers). Soo‐Chang Pei collaborates with scholars based in Taiwan, United States and China. Soo‐Chang Pei's co-authors include Jian–Jiun Ding, Min-Hung Yeh, Chien‐Cheng Tseng, Jong-Jy Shyu, Chien-Cheng Tseng, Ching-Min Cheng, Chun-Shien Lu, Chao-Yung Hsu, Shih-Gu Huang and Ji-Hwei Horng and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Information Theory and IEEE Transactions on Image Processing.

In The Last Decade

Soo‐Chang Pei

403 papers receiving 7.6k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Soo‐Chang Pei 4.9k 3.3k 2.1k 1.5k 1.1k 428 8.0k
Charles K. Chui 2.9k 0.6× 974 0.3× 1.8k 0.8× 1.4k 1.0× 569 0.5× 204 7.3k
Jelena Kovačević 4.4k 0.9× 2.3k 0.7× 1.2k 0.5× 1.2k 0.8× 757 0.7× 153 8.6k
Haldun M. Özaktaş 5.0k 1.0× 3.2k 1.0× 5.2k 2.4× 488 0.3× 999 1.0× 161 8.4k
C.S. Burrus 3.0k 0.6× 3.5k 1.1× 448 0.2× 1.4k 0.9× 1.6k 1.5× 184 8.0k
Truong Q. Nguyen 6.9k 1.4× 3.8k 1.2× 440 0.2× 1.4k 0.9× 1.5k 1.4× 439 11.0k
T.W. Parks 3.0k 0.6× 3.5k 1.1× 417 0.2× 2.0k 1.4× 1.1k 1.0× 127 7.1k
K.R. Rao 6.4k 1.3× 5.0k 1.5× 369 0.2× 786 0.5× 1.3k 1.3× 287 10.1k
Vivek K Goyal 2.7k 0.6× 1.7k 0.5× 470 0.2× 1.3k 0.9× 1.4k 1.4× 209 7.9k
James H. McClellan 1.7k 0.3× 3.0k 0.9× 370 0.2× 2.0k 1.4× 1.3k 1.2× 282 7.0k
Gitta Kutyniok 2.1k 0.4× 1.1k 0.3× 1.5k 0.7× 2.6k 1.8× 850 0.8× 129 5.8k

Countries citing papers authored by Soo‐Chang Pei

Since Specialization
Citations

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

Fields of papers citing papers by Soo‐Chang Pei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Soo‐Chang Pei. 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 Soo‐Chang Pei. The network helps show where Soo‐Chang Pei may publish in the future.

Co-authorship network of co-authors of Soo‐Chang Pei

This figure shows the co-authorship network connecting the top 25 collaborators of Soo‐Chang Pei. A scholar is included among the top collaborators of Soo‐Chang Pei 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 Soo‐Chang Pei. Soo‐Chang Pei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026