Peter Y. K. Cheung

238 papers receiving 3.4k citations

Peers

Peter Y. K. Cheung
Comparison fields: 5 of 140
  • Hardware and Architecture 1.7k
  • Electrical and Electronic Engineering 1.7k
  • Computer Networks and Communications 818
  • Computer Vision and Pattern Recognition 634
  • Computational Theory and Mathematics 512
Replace Akash Kumar with:
Akash Kumar Germany
Maya Gokhale United States
Henk Corporaal Netherlands
Leonel Sousa Portugal
Aurel A. Lazar United States
Kung United States
Franz Franchetti United States
Patrick Schaumont United States
Ronald Dreslinski United States
Israel Koren United States
Peter Y. K. Cheung relative to Akash Kumar Germany Akash Kumar's profile →
Citations per field
00.5×1.5×2.2×
Akash Kumar · 1×
Citations per year

Countries citing papers authored by Peter Y. K. Cheung

Since Specialization
Citations

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

Fields of papers citing papers by Peter Y. K. Cheung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Y. K. Cheung

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Y. K. Cheung. A scholar is included among the top collaborators of Peter Y. K. Cheung 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 Peter Y. K. Cheung. Peter Y. K. Cheung 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
#WorkIndexed citations
1 6
2 2
3 37
4 31
5 2
6 2
7 19
8 94
9 4
10
An Analytical Approach to Generation and Exploration of Reconfigurable Architectures.
1
11 1
12 2
13 6
14
A Digit-Serial Structure for Reconfigurable Multipliers
0
15 48
16 1
17 1
18 3
19 4
20
delta-Endotoxin of Bacillus thuringiensis var. israelensis: broad-spectrum toxicity and neural response elicited in mice and insects.
6

About Peter Y. K. Cheung

Peter Y. K. Cheung is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 249 papers that have together received 3.6k indexed citations. Recurring topics across this work include Embedded Systems Design Techniques (80 papers), VLSI and FPGA Design Techniques (63 papers) and Low-power high-performance VLSI design (57 papers). The work is most often cited by research in Hardware and Architecture (1.7k citations), Signal Processing (402 citations) and Computer Networks and Communications (818 citations). Peter Y. K. Cheung has collaborated with scholars based in United Kingdom, United States and Hong Kong. Frequent co-authors include Wayne Luk, George A. Constantinides, Pete Sedcole, Edward Stott, Justin S. J. Wong, Oskar Mencer, Christos-Savvas Bouganis, James J. Davis, N. Shirazi and Theerayod Wiangtong. Their work appears in journals such as Applied and Environmental Microbiology, IEEE Transactions on Industrial Electronics and Analytica Chimica Acta.

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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