Sau-Gee Chen

752 citations
81 papers · 568 · h-index 13

Impact in

Papers in

Sau-Gee Chen

69 papers receiving 524 citations

Peers

Sau-Gee Chen
Comparison fields: 5 of 31
  • Signal Processing 275
  • Computational Theory and Mathematics 161
  • Electrical and Electronic Engineering 411
  • Computer Networks and Communications 148
  • Hardware and Architecture 37
Replace Shousheng He with:
Shousheng He Sweden
Veerle Derudder Belgium
Yun-Nan Chang Taiwan
Damien Castelain France
Yu-Wei Lin Taiwan
Hyeong‐Ju Kang South Korea
M. Torkelson Sweden
Byeong‐Gyu Nam South Korea
Martin Kumm Germany
Tso‐Bing Juang Taiwan
Sau-Gee Chen relative to Shousheng He Sweden Shousheng He's profile →
Citations per field
00.5×10×13×
Shousheng He · 1×
Citations per year

Countries citing papers authored by Sau-Gee Chen

Since Specialization
Citations

This map shows the geographic impact of Sau-Gee Chen'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 Sau-Gee Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sau-Gee Chen more than expected).

Fields of papers citing papers by Sau-Gee Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sau-Gee Chen. 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 Sau-Gee Chen. The network helps show where Sau-Gee Chen may publish in the future.

Co-authors

The 19 scholars most cited alongside Sau-Gee Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sau-Gee Chen Line = papers co-authored together Sau-Gee Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201251
2 200442
3 201636
4 201734
5 200429
6 201129
7 201428
8 201026
9 200425
10 200318
11 200617
12 200915
13 200215
14
An efficient FFT twiddle factor generator
200412
15 201411
16 199411
17 20169
18 20087
19 20097
20 20147

About Sau-Gee Chen

Sau-Gee Chen is a scholar working on Electrical and Electronic Engineering, Signal Processing, Computer Networks and Communications, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, having authored 81 papers that have together received 568 indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (37 papers), Digital Filter Design and Implementation (31 papers), Numerical Methods and Algorithms (23 papers), Wireless Communication Networks Research (16 papers), Cooperative Communication and Network Coding (16 papers), PAPR reduction in OFDM (13 papers), Error Correcting Code Techniques (12 papers) and Video Coding and Compression Technologies (8 papers). The work is most often cited by research in Signal Processing (275 citations), Computational Theory and Mathematics (161 citations), Electrical and Electronic Engineering (411 citations), Computer Networks and Communications (148 citations) and Hardware and Architecture (37 citations). Sau-Gee Chen has collaborated with scholars based in Taiwan, Sweden and China. Frequent co-authors include Mario Garrido, Wen‐Long Chin, W.E. Stark, Oscar Gustafsson, Shyh‐Jye Jou, Wei‐Lun Tsai, Kuang‐Fu Cheng, Wei-Chang Liu, Yuming Huang and Pei‐Yun Tsai. Their work appears in journals such as IEEE Transactions on Circuits and Systems I Regular Papers, IEEE Transactions on Communications, IEEE Communications Letters, Multimedia Tools and Applications and Journal of Music Technology and Education.

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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