Soo‐Chang Pei

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, Chun-Shien Lu, Ching-Min Cheng, 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

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Soo‐Chang Pei Taiwan 46 4.9k 3.3k 2.1k 1.5k 1.1k 428 8.0k
Jelena Kovačević United States 38 4.4k 0.9× 2.3k 0.7× 1.2k 0.5× 1.2k 0.8× 757 0.7× 153 8.6k
T.W. Parks United States 40 3.0k 0.6× 3.5k 1.1× 417 0.2× 2.0k 1.4× 1.1k 1.0× 127 7.1k
Charles K. Chui United States 32 2.9k 0.6× 977 0.3× 1.8k 0.8× 1.4k 1.0× 567 0.5× 205 7.3k
C.S. Burrus United States 39 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 United States 45 6.9k 1.4× 3.8k 1.2× 441 0.2× 1.4k 0.9× 1.5k 1.4× 438 11.0k
Wim Sweldens United States 36 7.1k 1.5× 2.6k 0.8× 549 0.3× 3.4k 2.3× 1.8k 1.7× 57 12.0k
K.R. Rao United States 36 6.4k 1.3× 5.0k 1.5× 367 0.2× 787 0.5× 1.3k 1.3× 286 10.1k
Gitta Kutyniok Germany 29 2.1k 0.4× 1.1k 0.3× 1.5k 0.7× 2.6k 1.8× 854 0.8× 129 5.9k
James H. McClellan United States 39 1.7k 0.3× 3.0k 0.9× 370 0.2× 2.0k 1.4× 1.3k 1.2× 282 7.0k
Zuowei Shen Singapore 48 7.7k 1.6× 1.6k 0.5× 2.4k 1.1× 6.0k 4.1× 521 0.5× 170 12.4k

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

20 of 20 papers shown
1.
Pei, Soo‐Chang, et al.. (2020). Difference-Seeking Generative Adversarial Network--Unseen Sample Generation. International Conference on Learning Representations. 2 indexed citations
2.
Pei, Soo‐Chang & Shih-Gu Huang. (2014). Instantaneous frequency estimation by group delay attractors and instantaneous frequency attractors. 471–475. 1 indexed citations
3.
Hsu, Chao-Yung, Chun-Shien Lu, & Soo‐Chang Pei. (2012). Image Feature Extraction in Encrypted Domain With Privacy-Preserving SIFT. IEEE Transactions on Image Processing. 21(11). 4593–4607. 168 indexed citations
4.
Ding, Jian–Jiun, Soo‐Chang Pei, & Chun-Lin Liu. (2012). Improved implementation algorithms of the two-dimensional nonseparable linear canonical transform. Journal of the Optical Society of America A. 29(8). 1615–1615. 17 indexed citations
5.
Chang, Feng-Ju, Soo‐Chang Pei, & Weilun Chao. (2012). Color constancy by chromaticity neutralization. Journal of the Optical Society of America A. 29(10). 2217–2217. 4 indexed citations
6.
Pei, Soo‐Chang, et al.. (2011). A new structure for the design of variable fractional-delay FIR filters. European Signal Processing Conference. 1420–1424.
7.
Ding, Jian–Jiun & Soo‐Chang Pei. (2011). Eigenfunctions and self-imaging phenomena of the two-dimensional nonseparable linear canonical transform. Journal of the Optical Society of America A. 28(2). 82–82. 16 indexed citations
8.
Pei, Soo‐Chang, et al.. (2011). Image indexing using 3D model for image retrieval. 1–4. 1 indexed citations
9.
Pei, Soo‐Chang, et al.. (2010). Colour image edge detection using quaternion quantized localized phase. European Signal Processing Conference. 1766–1770. 2 indexed citations
10.
Pei, Soo‐Chang & Jian–Jiun Ding. (2009). Uncertainty Principle of the 2-D Affine Generalized Fractional Fourier Transform. Hokkaido University Collection of Scholarly and Academic Papers (Hokkaido University). 414–417. 4 indexed citations
11.
Pei, Soo‐Chang & Jian–Jiun Ding. (2009). Properties, digital implementation, applications, and self image phenomena of the gyrator transform. European Signal Processing Conference. 441–445. 12 indexed citations
12.
Pei, Soo‐Chang, et al.. (2006). Robustness enhancement for noncentric quantization based image watermarking. IEEE Transactions on Circuits and Systems. 1507–1518. 1 indexed citations
13.
Lin, Jianliang, Wen-Liang Hwang, & Soo‐Chang Pei. (2005). SNR scalability based on bitplane coding of matching pursuit atoms at low bit rates: fine-grained and two-layer. IEEE Transactions on Circuits and Systems for Video Technology. 15(1). 3–14. 7 indexed citations
14.
Pei, Soo‐Chang & Jian–Jiun Ding. (2005). Generalized prolate spheroidal wave functions for optical finite fractional Fourier and linear canonical transforms. Journal of the Optical Society of America A. 22(3). 460–460. 21 indexed citations
15.
Pei, Soo‐Chang & Ching-Min Cheng. (1999). Color image processing by using binary quaternion-moment-preserving thresholding technique. IEEE Transactions on Image Processing. 8(5). 614–628. 119 indexed citations
16.
Pei, Soo‐Chang, et al.. (1997). Motion-based grouping of optical flow fields: the extrapolation and subtraction technique. IEEE Transactions on Image Processing. 6(10). 1358–1363. 2 indexed citations
17.
Pei, Soo‐Chang, Chien-Cheng Tseng, & Ching‐Yung Lin. (1996). A parallel decoding algorithm for IFS codes without transient behavior. IEEE Transactions on Image Processing. 5(3). 411–415. 14 indexed citations
18.
Pei, Soo‐Chang, Chien‐Cheng Tseng, & Ching‐Yung Lin. (1995). Wavelet transform and scale space filtering of fractal images. IEEE Transactions on Image Processing. 4(5). 682–687. 10 indexed citations
19.
Pei, Soo‐Chang, et al.. (1987). Modulation signal classification by the Wigner distribution. 269. 1 indexed citations
20.
Pei, Soo‐Chang, et al.. (1984). Improved 2D Discrete Cosine Transforms Using Generalized Polynomial Transforms and DFTS.. International Conference on Communications. 242–244. 1 indexed citations

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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