Kai‐Yeung Siu

2.8k total citations
78 papers, 1.8k citations indexed

About

Kai‐Yeung Siu is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Kai‐Yeung Siu has authored 78 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Computer Networks and Communications, 40 papers in Electrical and Electronic Engineering and 18 papers in Artificial Intelligence. Recurrent topics in Kai‐Yeung Siu's work include Network Traffic and Congestion Control (27 papers), Advanced Wireless Network Optimization (17 papers) and Interconnection Networks and Systems (17 papers). Kai‐Yeung Siu is often cited by papers focused on Network Traffic and Congestion Control (27 papers), Advanced Wireless Network Optimization (17 papers) and Interconnection Networks and Systems (17 papers). Kai‐Yeung Siu collaborates with scholars based in United States, Japan and Germany. Kai‐Yeung Siu's co-authors include Ching Law, Hong-Yi Tzeng, P. Narvaez, Vwani Roychowdhury, Kayi Lee, T. Kailath, Jehoshua Bruck, Alon Orlitsky, Hamid K. Aghajan and Raj Jain and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Journal on Selected Areas in Communications and IEEE Communications Magazine.

In The Last Decade

Kai‐Yeung Siu

70 papers receiving 1.7k citations

Peers

Kai‐Yeung Siu
Comparison fields: 5 of 74
  • Computer Networks and Communications 1.1k
  • Electrical and Electronic Engineering 933
  • Artificial Intelligence 353
  • Media Technology 230
  • Computational Theory and Mathematics 185
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Citations per field, relative to Kai‐Yeung Siu
Kai‐Yeung Siu · 1×
Citations per year, relative to Kai‐Yeung Siu
Kai‐Yeung Siu · 1×

Countries citing papers authored by Kai‐Yeung Siu

Since Specialization
Citations

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

Fields of papers citing papers by Kai‐Yeung Siu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai‐Yeung Siu

This figure shows the co-authorship network connecting the top 25 collaborators of Kai‐Yeung Siu. A scholar is included among the top collaborators of Kai‐Yeung 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 Kai‐Yeung Siu. Kai‐Yeung Siu 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 7
2 19
3 11
4 1
5 6
6 228
7 169
8 1
9 35
10 13
11 24
12 11
13 23
14 1
15
Complexity issues in circuits for neural computation
3
16
Computing with Almost Optimal Size Neural Networks
4
17
Optimal Depth Neural Networks for Multiplication and Related Problems
4
18
Neural Computing with Small Weights
4
19 84
20
Complexity of Finite Precision Neural Network Classifier
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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