S. Siu

513 citations
13 papers · 316 · h-index 7

Impact in

Papers in

Journals
IEEE Transactions on Signal Processing (1 paper)International Conference on Acoustics, Speech, and Signal Processing (1 paper)IEEE Transactions on Neural Networks (1 paper)IEE Proceedings F Radar and Signal Processing (1 paper)1993 IEEE International Symposium on Circuits and Systems (1 paper)
Partner nations
TaiwanUnited Kingdom

In The Last Decade

S. Siu

11 papers receiving 287 citations

Peers

S. Siu
Comparison fields: 5 of 33
  • Signal Processing 237
  • Artificial Intelligence 227
  • Computational Mechanics 91
  • Control and Systems Engineering 63
  • Computer Networks and Communications 43
Replace Charles L. Weber with:
Charles L. Weber United States
Florence Alberge France
Roland Gautier France
Guangguo Bi China
Hsiao-Chun Wu United States
Toshihiro Furukawa Japan
Graham Wade United Kingdom
B. Nowrouzian Canada
N. Shirazi United Kingdom
A.R. Leyman Singapore
S. Siu relative to Charles L. Weber United States Charles L. Weber's profile →
Citations per field
00.5×
Charles L. Weber · 1×
Citations per year

Countries citing papers authored by S. Siu

Since Specialization
Citations

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

Fields of papers citing papers by S. Siu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Siu. 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 S. Siu. The network helps show where S. Siu may publish in the future.

Co-authors

The 4 scholars most cited alongside S. Siu, 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 S. Siu Line = papers co-authored together S. Siu links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 1991128
2 199092
3 200338
4 200820
5
Decision feedback equalization using neural network structures
198910
6 19908
7 19936
8 20055
9 19904
10 19954
11
Adaptive equalization using the l p back propagation algorithm
19911
12 20020
13 20020

About S. Siu

S. Siu is a scholar working on Signal Processing, Artificial Intelligence, Computational Mechanics, Computer Networks and Communications and Oceanography, having authored 13 papers that have together received 316 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (10 papers), Neural Networks and Applications (10 papers), Advanced Adaptive Filtering Techniques (5 papers), Machine Learning and ELM (1 paper), Speech and Audio Processing (1 paper), Error Correcting Code Techniques (1 paper), Advanced Frequency and Time Standards (1 paper) and Advanced Electrical Measurement Techniques (1 paper). The work is most often cited by research in Signal Processing (237 citations), Artificial Intelligence (227 citations), Computational Mechanics (91 citations), Control and Systems Engineering (63 citations) and Computer Networks and Communications (43 citations). S. Siu has collaborated with scholars based in Taiwan and United Kingdom. Frequent co-authors include Gavin J. Gibson, C.F.N. Cowan, Che‐Ho Wei and P.M. Grant. Their work appears in journals such as IEEE Transactions on Signal Processing, International Conference on Acoustics, Speech, and Signal Processing, IEEE Transactions on Neural Networks, IEE Proceedings F Radar and Signal Processing and 1993 IEEE International Symposium on Circuits and Systems.

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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