Tze‐Yun Sung

48 papers receiving 283 citations

Peers

Tze‐Yun Sung
Comparison fields: 5 of 44
  • Signal Processing 161
  • Computer Vision and Pattern Recognition 154
  • Computational Theory and Mathematics 107
  • Electrical and Electronic Engineering 66
  • Artificial Intelligence 39
Replace Hsi‐Chin Hsin with:
Hsi‐Chin Hsin Taiwan
Sau-Gee Chen Taiwan
E.V. Jones United Kingdom
H. Nussbaumer Switzerland
V. Krishnan United States
Javier Hormigo Spain
Yu-Wei Lin Taiwan
T. Bially United States
Dean P. Kolba United States
Damien Castelain France
Tze‐Yun Sung relative to Hsi‐Chin Hsin Taiwan Hsi‐Chin Hsin's profile →
Citations per field
00.5×1.5×2.5×
Hsi‐Chin Hsin · 1×
Citations per year

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
#WorkIndexed citations
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A novel linear array for discrete cosine transform
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5
Reconfigurable architecture for VLSI 9/7-5/3 wavelet filter
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6
Context-based rate distortion estimation and its application to wavelet image coding
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7
JPEG2000-Based Image Features with Its Application to Texture Segmentation
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8
High-SFDR and multiplierless direct digital frequency synthesizer
1
9
Reconfigurable VLSI architecture for FFT processor
5
10 8
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15 23
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17 1
18 4
19 20
20 9

About Tze‐Yun Sung

Tze‐Yun Sung is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 50 papers that have together received 314 indexed citations. Recurring topics across this work include Digital Filter Design and Implementation (26 papers), Numerical Methods and Algorithms (20 papers) and Advanced Data Compression Techniques (19 papers). The work is most often cited by research in Signal Processing (161 citations), Computer Vision and Pattern Recognition (154 citations) and Computational Theory and Mathematics (107 citations). Tze‐Yun Sung has collaborated with scholars based in Taiwan, Italy and United States. Frequent co-authors include Hsi‐Chin Hsin, Yu Hen Hu, Gwo‐Dong Chen, Hai Huang, Yang Wang, C. F. Chen, Haoji Hu, Paul A. Kohl, Carlo Cattani and Panos Nasiopoulos. Their work appears in journals such as IEEE Transactions on Aerospace and Electronic Systems, Journal of Insect Physiology and IEEE Transactions on Consumer Electronics.

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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