Tze‐Yun Sung

433 total citations
50 papers, 314 citations indexed

About

Tze‐Yun Sung is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computational Theory and Mathematics. According to data from OpenAlex, Tze‐Yun Sung has authored 50 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 27 papers in Signal Processing and 20 papers in Computational Theory and Mathematics. Recurrent topics in Tze‐Yun Sung's work include Digital Filter Design and Implementation (26 papers), Numerical Methods and Algorithms (20 papers) and Advanced Data Compression Techniques (19 papers). Tze‐Yun Sung is often cited by papers focused on Digital Filter Design and Implementation (26 papers), Numerical Methods and Algorithms (20 papers) and Advanced Data Compression Techniques (19 papers). Tze‐Yun Sung collaborates with scholars based in Taiwan, Italy and United States. Tze‐Yun Sung's co-authors include Hsi‐Chin Hsin, Yu Hen Hu, Gwo‐Dong Chen, Hai Huang, C. F. Chen, Yang Wang, Victor C. M. Leung, Yixiao Wang, Carlo Cattani and Panos Nasiopoulos and has published in prestigious journals such as IEEE Transactions on Aerospace and Electronic Systems, Journal of Insect Physiology and IEEE Transactions on Consumer Electronics.

In The Last Decade

Tze‐Yun Sung

48 papers receiving 283 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tze‐Yun Sung Taiwan 10 161 154 107 66 39 50 314
Hsi‐Chin Hsin Taiwan 10 108 0.7× 169 1.1× 58 0.5× 55 0.8× 45 1.2× 49 296
Javier Hormigo Spain 12 179 1.1× 85 0.6× 206 1.9× 168 2.5× 42 1.1× 48 397
Dean P. Kolba United States 4 203 1.3× 107 0.7× 140 1.3× 78 1.2× 15 0.4× 14 283
Sau-Gee Chen Taiwan 13 275 1.7× 60 0.4× 160 1.5× 409 6.2× 39 1.0× 80 565
H. Nussbaumer Switzerland 10 316 2.0× 136 0.9× 213 2.0× 117 1.8× 122 3.1× 40 470
E.V. Jones United Kingdom 10 214 1.3× 101 0.7× 95 0.9× 246 3.7× 47 1.2× 31 395
V. Krishnan United States 10 187 1.2× 124 0.8× 40 0.4× 68 1.0× 47 1.2× 27 273
Khalid H. Abed United States 8 164 1.0× 37 0.2× 202 1.9× 200 3.0× 33 0.8× 39 355
Kenny Johansson Sweden 11 281 1.7× 48 0.3× 241 2.3× 218 3.3× 20 0.5× 39 362
T. Bially United States 5 122 0.8× 103 0.7× 43 0.4× 112 1.7× 29 0.7× 6 321

Countries citing papers authored by Tze‐Yun Sung

Since Specialization
Citations

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

Fields of papers citing papers by Tze‐Yun Sung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tze‐Yun Sung. 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 Tze‐Yun Sung. The network helps show where Tze‐Yun Sung may publish in the future.

Co-authorship network of co-authors of Tze‐Yun Sung

This figure shows the co-authorship network connecting the top 25 collaborators of Tze‐Yun Sung. A scholar is included among the top collaborators of Tze‐Yun Sung 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 Tze‐Yun Sung. Tze‐Yun Sung 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.
Chen, Gwo‐Dong, et al.. (2019). Design and Implementation of Smart Multi-Touch Interface Using Special Purpose CORDIC Processor. IEEE Transactions on Consumer Electronics. 65(4). 516–525. 3 indexed citations
2.
Hsin, Hsi‐Chin, et al.. (2012). A Rate-Distortion-Based Merging Algorithm for Compressed Image Segmentation. Computational and Mathematical Methods in Medicine. 2012. 1–7. 1 indexed citations
3.
Sung, Tze‐Yun, et al.. (2012). Optimization and Implementation of Scaling-Free CORDIC-Based Direct Digital Frequency Synthesizer for Body Care Area Network Systems. Computational and Mathematical Methods in Medicine. 2012. 1–9. 4 indexed citations
4.
Hsin, Hsi‐Chin, et al.. (2011). Adaptive Binary Arithmetic Coder‐Based Image Feature and Segmentation in the Compressed Domain. Mathematical Problems in Engineering. 2012(1). 4 indexed citations
5.
Sung, Tze‐Yun & Hsi‐Chin Hsin. (2010). Reconfigurable architecture for VLSI 9/7-5/3 wavelet filter. 9(5). 347–357. 2 indexed citations
6.
Sung, Tze‐Yun, et al.. (2010). A novel linear array for discrete cosine transform. WSEAS Transactions on Circuits and Systems archive. 9(5). 27–32. 1 indexed citations
7.
Hsin, Hsi‐Chin & Tze‐Yun Sung. (2009). JPEG2000-Based Image Features with Its Application to Texture Segmentation. Hokkaido University Collection of Scholarly and Academic Papers (Hokkaido University). 904–909. 1 indexed citations
8.
Hsin, Hsi‐Chin & Tze‐Yun Sung. (2009). Context-based rate distortion estimation and its application to wavelet image coding. WSEAS Transactions on Information Science and Applications archive. 6(6). 988–997. 2 indexed citations
9.
Sung, Tze‐Yun, et al.. (2009). High-SFDR and multiplierless direct digital frequency synthesizer. WSEAS Transactions on Circuits and Systems archive. 8(6). 41–45. 1 indexed citations
10.
Sung, Tze‐Yun, et al.. (2009). Reconfigurable VLSI architecture for FFT processor. WSEAS Transactions on Circuits and Systems archive. 8(6). 465–474. 5 indexed citations
11.
Hsin, Hsi‐Chin & Tze‐Yun Sung. (2008). Adaptive Selection and Rearrangement of Wavelet Packets for Quad-Tree Image Coding. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. E91-A(9). 2655–2662. 3 indexed citations
12.
Sung, Tze‐Yun. (2007). Memory-efficient and high-performance 2-D DCT and IDCT processors based on CORDIC rotation. Journal of Insect Physiology. 55(4). 7–12. 6 indexed citations
13.
Sung, Tze‐Yun & Hsi‐Chin Hsin. (2007). Fixed-Point Error Analysis of CORDIC Arithmetic for Special-Purpose Signal Processors. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. E90-A(9). 2006–2013. 9 indexed citations
14.
Sung, Tze‐Yun & Hsi‐Chin Hsin. (2007). An Efficient Rearrangement of Wavelet Packet Coefficients for Embedded Image Coding Based on SPIHT Algorithm. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. E90-A(9). 2014–2020. 8 indexed citations
15.
Sung, Tze‐Yun. (2006). Memory-efficient and high-speed split-radix FFT/IFFT processor based on pipelined CORDIC rotations. IEE Proceedings - Vision Image and Signal Processing. 153(4). 405–405. 23 indexed citations
16.
Sung, Tze‐Yun, et al.. (2006). High-Efficiency and Low-Power Architectures for 2-D DCT and IDCT Based on CORDIC Rotation. 153. 191–196. 15 indexed citations
17.
Sung, Tze‐Yun & C. F. Chen. (2004). A parallel-pipelined processor for fast fourier transform. 193–196. 4 indexed citations
18.
Sung, Tze‐Yun, et al.. (2004). A novel implementation of cost-effective parallel-pipelined 8x8 DCT processor. 201–204. 1 indexed citations
19.
Sung, Tze‐Yun, et al.. (1987). Doubly pipelined CORDIC array for digital signal processing algorithms. Journal of the Chinese Institute of Engineers. 10(4). 375–383. 9 indexed citations
20.
Sung, Tze‐Yun & Yu Hen Hu. (1987). Parallel VLSI Implementation of the Kalrman Filter. IEEE Transactions on Aerospace and Electronic Systems. AES-23(2). 215–224. 20 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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