K.-Y. Siu

631 citations
17 papers · 398 indexed · h-index 9

Impact in

Papers in

K.-Y. Siu

15 papers receiving 346 citations

Peers

K.-Y. Siu
Comparison fields: 5 of 40
  • Computer Networks and Communications 163
  • Computational Theory and Mathematics 87
  • Hardware and Architecture 36
  • Artificial Intelligence 171
  • Electrical and Electronic Engineering 170
Replace Chin-Long Chen with:
Chin-Long Chen United States
J.W. Gannett United States
Wenbao Han China
Louis Monier United States
Russell Bradford United Kingdom
Robert C. Minnick United States
L. Csanky United States
Martin Lukáč Japan
J. Moy United States
W. O. Alltop United States
K.-Y. Siu relative to Chin-Long Chen United States Chin-Long Chen's profile →
Citations per field
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Citations per year

Countries citing papers authored by K.-Y. Siu

Since Specialization
Citations

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

Fields of papers citing papers by K.-Y. Siu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside K.-Y. 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 K.-Y. Siu Line = papers co-authored together K.-Y. Siu links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 200491
2 20031
3 20031
4
Degraded GPS Signal Measurements With A Stand-Alone High Sensitivity Receiver
200219
5 20020
6 20027
7 20021
8 200144
9 199624
10 19955
11 199510
12 199364
13 199110
14 199164
15
On the Circuit Complexity of Neural Networks
19905
16 199048
17 19894

About K.-Y. Siu

K.-Y. Siu is a scholar working on Artificial Intelligence, Computer Networks and Communications, Algebra and Number Theory, Computational Theory and Mathematics and Electrical and Electronic Engineering, having authored 17 papers that have together received 398 indexed citations. Recurring topics across this work include Neural Networks and Applications (7 papers), Machine Learning and Algorithms (5 papers), Low-power high-performance VLSI design (3 papers), Quantum Computing Algorithms and Architecture (3 papers), Advanced Memory and Neural Computing (2 papers), Ferroelectric and Negative Capacitance Devices (2 papers), Power Line Communications and Noise (1 paper) and Peer-to-Peer Network Technologies (1 paper). The work is most often cited by research in Computer Networks and Communications (163 citations), Computational Theory and Mathematics (87 citations), Hardware and Architecture (36 citations), Artificial Intelligence (171 citations) and Electrical and Electronic Engineering (170 citations). K.-Y. Siu has collaborated with scholars based in United States and Germany. Frequent co-authors include T. Kailath, Choi Look Law, Jehoshua Bruck, Vwani Roychowdhury, Thomas Hofmeister, A. Nicolau, Alon Orlitsky, G. Lachapelle, Lionel Garin and Glenn MacGougan. Their work appears in journals such as IEEE Transactions on Computers, IEEE Journal on Selected Areas in Communications, Proceedings of the IEEE, Journal of Parallel and Distributed Computing and Information and Computation.

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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