Shen‐Fu Hsiao

1.1k total citations
98 papers, 776 citations indexed

About

Shen‐Fu Hsiao is a scholar working on Computational Theory and Mathematics, Electrical and Electronic Engineering and Signal Processing. According to data from OpenAlex, Shen‐Fu Hsiao has authored 98 papers receiving a total of 776 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Computational Theory and Mathematics, 42 papers in Electrical and Electronic Engineering and 39 papers in Signal Processing. Recurrent topics in Shen‐Fu Hsiao's work include Numerical Methods and Algorithms (41 papers), Digital Filter Design and Implementation (37 papers) and Low-power high-performance VLSI design (25 papers). Shen‐Fu Hsiao is often cited by papers focused on Numerical Methods and Algorithms (41 papers), Digital Filter Design and Implementation (37 papers) and Low-power high-performance VLSI design (25 papers). Shen‐Fu Hsiao collaborates with scholars based in Taiwan, United States and Singapore. Shen‐Fu Hsiao's co-authors include Jean-Marc Delosme, Yu Hen Hu, Kun-Chih Chen, Yi‐Hau Chen, Pramod Kumar Meher, Jen‐Yin Chen, P. S. Wei, Wen-Ling Wang, Ing-Jer Huang and Yun-Nan Chang and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Computers and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Shen‐Fu Hsiao

83 papers receiving 702 citations

Peers

Shen‐Fu Hsiao
Comparison fields: 5 of 47
  • Electrical and Electronic Engineering 369
  • Signal Processing 368
  • Computational Theory and Mathematics 348
  • Computer Vision and Pattern Recognition 180
  • Hardware and Architecture 150
Replace Anindya Sundar Dhar with:
Anindya Sundar Dhar India
Arnaud Tisserand France
Julio Villalba Spain
Tsin‐Yuan Chang Taiwan
Martin Kumm Germany
Dong-U Lee United States
M. Torkelson Sweden
Tso‐Bing Juang Taiwan
Shousheng He Sweden
Wonyong Sung South Korea
Anindya Sundar Dhar India View profile →
Citations per field, relative to Shen‐Fu Hsiao
Shen‐Fu Hsiao · 1×
Citations per year, relative to Shen‐Fu Hsiao
Shen‐Fu Hsiao · 1×

Countries citing papers authored by Shen‐Fu Hsiao

Since Specialization
Citations

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

Fields of papers citing papers by Shen‐Fu Hsiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shen‐Fu Hsiao. 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 Shen‐Fu Hsiao. The network helps show where Shen‐Fu Hsiao may publish in the future.

Co-authorship network of co-authors of Shen‐Fu Hsiao

This figure shows the co-authorship network connecting the top 25 collaborators of Shen‐Fu Hsiao. A scholar is included among the top collaborators of Shen‐Fu Hsiao 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 Shen‐Fu Hsiao. Shen‐Fu Hsiao 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
# Work Indexed citations
1 1
2 1
3 2
4 1
5 4
6 17
7 0
8 17
9 12
10 6
11 2
12 8
13 4
14 2
15 71
16 1
17 0
18 3
19
Design of a CORDIC-based SIN/COS intellectual property (IP) using predictable sign bits
1
20 1

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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