S. Siu

513 total citations
13 papers, 316 citations indexed

About

S. Siu is a scholar working on Signal Processing, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, S. Siu has authored 13 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Signal Processing, 10 papers in Artificial Intelligence and 5 papers in Computational Mechanics. Recurrent topics in S. Siu's work include Neural Networks and Applications (10 papers), Blind Source Separation Techniques (10 papers) and Advanced Adaptive Filtering Techniques (5 papers). S. Siu is often cited by papers focused on Neural Networks and Applications (10 papers), Blind Source Separation Techniques (10 papers) and Advanced Adaptive Filtering Techniques (5 papers). S. Siu collaborates with scholars based in United Kingdom and Taiwan. S. Siu's co-authors include Gavin J. Gibson, C.F.N. Cowan, P.M. Grant and Che‐Ho Wei and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Neural Networks and IEEE Transactions on Circuits and Systems II Analog and Digital Signal Processing.

In The Last Decade

S. Siu

11 papers receiving 287 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
S. Siu United Kingdom 7 237 227 91 86 63 13 316
Florence Alberge France 9 69 0.3× 47 0.2× 46 0.5× 201 2.3× 8 0.1× 27 264
Toshihiro Furukawa Japan 9 98 0.4× 25 0.1× 88 1.0× 51 0.6× 18 0.3× 78 261
Guangguo Bi China 9 66 0.3× 51 0.2× 35 0.4× 218 2.5× 19 0.3× 84 308
B. Nowrouzian Canada 9 175 0.7× 39 0.2× 96 1.1× 145 1.7× 11 0.2× 87 283
Roland Gautier France 10 94 0.4× 121 0.5× 30 0.3× 175 2.0× 7 0.1× 34 300
Graham Wade United Kingdom 9 50 0.2× 46 0.2× 46 0.5× 216 2.5× 8 0.1× 25 325
Guolong Su United States 6 127 0.5× 29 0.1× 133 1.5× 85 1.0× 7 0.1× 13 408
Charles L. Weber United States 9 111 0.5× 177 0.8× 27 0.3× 203 2.4× 18 0.3× 35 406
A.R. Leyman Singapore 10 139 0.6× 15 0.1× 41 0.5× 140 1.6× 22 0.3× 61 275

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-authorship network of co-authors of S. Siu

This figure shows the co-authorship network connecting the top 25 collaborators of S. Siu. A scholar is included among the top collaborators of S. Siu 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 S. Siu. S. Siu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Siu, S., et al.. (2008). Analysis of the Initial Values in Split-Complex Backpropagation Algorithm. IEEE Transactions on Neural Networks. 19(9). 1564–1573. 20 indexed citations
2.
Siu, S., et al.. (2005). TSK-based decision feedback equalizer using an evolutionary algorithm applied to QAM communication systems. IEEE Transactions on Circuits and Systems II Analog and Digital Signal Processing. 52(9). 596–600. 5 indexed citations
3.
Gibson, Gavin J., et al.. (2003). Multilayer perceptron structures applied to adaptive equalisers for data communications. International Conference on Acoustics, Speech, and Signal Processing. 1183–1186. 38 indexed citations
4.
Siu, S., et al.. (2002). A decision feedback equalizer utilizing higher-order correlation. 1993 IEEE International Symposium on Circuits and Systems. 1. 707–710.
6.
Siu, S., et al.. (1995). L/sub p/ norm back propagation algorithm for adaptive equalization. IEEE Transactions on Circuits and Systems II Analog and Digital Signal Processing. 42(9). 604–607. 4 indexed citations
7.
Siu, S. & C.F.N. Cowan. (1993). Performance analysis of the lp norm back propagation algorithm for adaptive equalisation. IEE Proceedings F Radar and Signal Processing. 140(1). 43–43. 6 indexed citations
8.
Siu, S. & C.F.N. Cowan. (1991). Adaptive equalization using the l p back propagation algorithm. 10–13. 1 indexed citations
9.
Gibson, Gavin J., S. Siu, & C.F.N. Cowan. (1991). The application of nonlinear structures to the reconstruction of binary signals. IEEE Transactions on Signal Processing. 39(8). 1877–1884. 128 indexed citations
10.
Gibson, Gavin J., et al.. (1990). The application of nonlinear architectures to adaptive channel equalisation. 649–653 vol.2. 4 indexed citations
11.
Gibson, Gavin J., S. Siu, & C.F.N. Cowan. (1990). Decision feedback equalisation using neural network structures and performance comparison with standard architecture. IEE Proceedings I Communications Speech and Vision. 137(4). 221–221. 92 indexed citations
12.
Gibson, Gavin J., S. Siu, & C.F.N. Cowan. (1990). Application of Multilayer Perceptrons as Adaptive Channel Equalisers. IFAC Proceedings Volumes. 23(1). 573–578. 8 indexed citations
13.
Siu, S., Gavin J. Gibson, & C.F.N. Cowan. (1989). Decision feedback equalization using neural network structures. 125–128. 10 indexed citations

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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