Wayne Luk

13.0k citations
665 papers · 9.5k · h-index 45

Impact in

Papers in

Wayne Luk

622 papers receiving 9.0k citations

Peers

Wayne Luk
Comparison fields: 5 of 147
  • Hardware and Architecture 4.4k
  • Computational Theory and Mathematics 1.9k
  • Computer Networks and Communications 2.6k
  • Computer Vision and Pattern Recognition 2.0k
  • Artificial Intelligence 2.2k
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Citations per field
00.5×2.7×
Xiaobo Sharon Hu · 1×
Citations per year

Countries citing papers authored by Wayne Luk

Since Specialization
Citations

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

Fields of papers citing papers by Wayne Luk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wayne Luk, 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 Wayne Luk Line = papers co-authored together Wayne Luk links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 665 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005241
2 2017221
3 2006169
4 2007160
5 2009128
6 2006116
7 2010110
8 2002103
9 2001103
10 200399
11 201689
12 200488
13 200485
14 200484
15 200683
16 200579
17 200978
18 200677
19 201874
20 200572

About Wayne Luk

Wayne Luk is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence and Computational Theory and Mathematics, having authored 665 papers that have together received 9.5k indexed citations. Recurring topics across this work include Embedded Systems Design Techniques (263 papers), Parallel Computing and Optimization Techniques (237 papers), Interconnection Networks and Systems (106 papers), VLSI and FPGA Design Techniques (90 papers), Numerical Methods and Algorithms (84 papers), Low-power high-performance VLSI design (65 papers), VLSI and Analog Circuit Testing (51 papers) and Advanced Neural Network Applications (46 papers). The work is most often cited by research in Hardware and Architecture (4.4k citations), Computational Theory and Mathematics (1.9k citations), Computer Networks and Communications (2.6k citations), Computer Vision and Pattern Recognition (2.0k citations) and Artificial Intelligence (2.2k citations). Wayne Luk has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Peter Y. K. Cheung, David B. Thomas, Oskar Mencer, George A. Constantinides, Philip H. W. Leong, John Villasenor, Kuen Hung Tsoi, Xinyu Niu, Steven J. E. Wilton and Ray C. C. Cheung. Their work appears in journals such as IEEE Transactions on Very Large Scale Integration (VLSI) Systems, ACM Transactions on Reconfigurable Technology and Systems, IEEE Transactions on Computers, Lecture notes in computer science and IEEE Transactions on Computer-Aided Design of Integrated 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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