Kevin Chung

565 total citations
13 papers, 383 citations indexed

About

Kevin Chung is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Kevin Chung has authored 13 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Hardware and Architecture, 12 papers in Electrical and Electronic Engineering and 1 paper in Computer Networks and Communications. Recurrent topics in Kevin Chung's work include VLSI and Analog Circuit Testing (10 papers), Low-power high-performance VLSI design (9 papers) and VLSI and FPGA Design Techniques (9 papers). Kevin Chung is often cited by papers focused on VLSI and Analog Circuit Testing (10 papers), Low-power high-performance VLSI design (9 papers) and VLSI and FPGA Design Techniques (9 papers). Kevin Chung collaborates with scholars based in Canada, United States and Venezuela. Kevin Chung's co-authors include Jonathan Rose, Robert J. Francis, Paul Chow, Alan Mishchenko, Sunil K. Singh, David Lewis, Robert K. Brayton, Lesley Shannon and Peter Jamieson and has published in prestigious journals such as IEEE Transactions on Very Large Scale Integration (VLSI) Systems, ACM Transactions on Reconfigurable Technology and Systems and Design Automation Conference.

In The Last Decade

Kevin Chung

13 papers receiving 351 citations

Peers

Kevin Chung
Comparison fields: 5 of 23
  • Electrical and Electronic Engineering 326
  • Hardware and Architecture 307
  • Computational Theory and Mathematics 61
  • Computer Networks and Communications 47
  • Biomedical Engineering 18
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Citations per field, relative to Kevin Chung
Kevin Chung · 1×
Citations per year, relative to Kevin Chung
Kevin Chung · 1×

Countries citing papers authored by Kevin Chung

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Chung

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Chung. A scholar is included among the top collaborators of Kevin Chung 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 Kevin Chung. Kevin Chung 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
# Work Indexed citations
1 1
2 17
3 6
4 22
5 2
6 20
7 47
8 67
9 69
10
Architecture and Synthesis of Field-Programmable Gate Arrays with Hard-wired Connections
9
11
A high-speed FPGA using programmable mini-tiles
6
12 11
13 106

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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2026