Sau-Gee Chen

746 citations
80 papers · 565 indexed · h-index 13

Sau-Gee Chen

69 papers receiving 521 citations

Peers

Sau-Gee Chen
Comparison fields: 5 of 31
  • Signal Processing 275
  • Computational Theory and Mathematics 160
  • Electrical and Electronic Engineering 409
  • Computer Networks and Communications 146
  • Hardware and Architecture 36
Replace Shousheng He with:
Shousheng He Sweden
Veerle Derudder Belgium
Yun-Nan Chang Taiwan
Damien Castelain France
Yu-Wei Lin Taiwan
M. Torkelson Sweden
Byeong‐Gyu Nam South Korea
Martin Kumm Germany
Tso‐Bing Juang Taiwan
A. Peled United States
Sau-Gee Chen relative to Shousheng He Sweden Shousheng He's profile →
Citations per field
00.5×11×
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-authorship network

The 18 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
#Work
1 20220
2 20144
3 201411
4 20121
5 20101
6 20102
7
A high-performance multibit-flipping algorithm for LDPC decoding
20092
8
An efficient BF LDPC decoding algorithm based on a syndrome vote scheme
20083
9 20085
10 20081
11 20072
12 20062
13 20060
14 20056
15
An efficient FFT twiddle factor generator
200412
16 200442
17 20035
18 20020
19 20020
20 20024

About Sau-Gee Chen

Sau-Gee Chen is a scholar working on Signal Processing, Computational Theory and Mathematics, Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 80 papers that have together received 565 indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (36 papers), Digital Filter Design and Implementation (31 papers), Numerical Methods and Algorithms (23 papers), Cooperative Communication and Network Coding (16 papers), Wireless Communication Networks Research (16 papers), PAPR reduction in OFDM (13 papers), Error Correcting Code Techniques (11 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 (160 citations), Electrical and Electronic Engineering (409 citations), Computer Networks and Communications (146 citations) and Hardware and Architecture (36 citations). Sau-Gee Chen has collaborated with scholars based in Taiwan, Sweden and China. Frequent co-authors include Mario Garrido, W.E. Stark, Wen‐Long Chin, Shyh‐Jye Jou, Oscar Gustafsson, Wei‐Lun Tsai, Ruiwei Jiang, David W. Lin, Wei-Chang Liu and Yuming Huang. Their work appears in journals such as IEEE Transactions on Circuits and Systems I Regular Papers, IEEE Transactions on Communications, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Communications Letters and IEEE Journal on Selected Areas in Communications.

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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