Gin Yee

534 citations
16 papers · 386 · h-index 11

Impact in

    • VLSI and Analog Circuit Testing
    • Parallel Computing and Optimization Techniques
    • Low-power high-performance VLSI design
    • Advancements in Semiconductor Devices and Circuit Design
    • Semiconductor materials and devices
    • VLSI and FPGA Design Techniques

Papers in

    • VLSI and Analog Circuit Testing 6
    • Low-power high-performance VLSI design 16
    • VLSI and FPGA Design Techniques 5
    • Advancements in Semiconductor Devices and Circuit Design 4
    • Radiation Effects in Electronics 2
    • Advancements in PLL and VCO Technologies 2

Gin Yee

16 papers receiving 341 citations

Peers

Gin Yee
Comparison fields: 5 of 14
  • Hardware and Architecture 171
  • Electrical and Electronic Engineering 362
  • Computational Theory and Mathematics 63
  • Computer Networks and Communications 50
  • Biomedical Engineering 80
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Gin Yee relative to Hamid Partovi United States Hamid Partovi's profile →
Citations per field
00.5×1.5×
Hamid Partovi · 1×
Citations per year

Countries citing papers authored by Gin Yee

Since Specialization
Citations

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

Fields of papers citing papers by Gin Yee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Gin Yee, 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 Gin Yee Line = papers co-authored together Gin Yee links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 1999117
2 200051
3 200233
4 200030
5 200326
6 200226
7 200225
8 199818
9 200217
10 200312
11 199911
12 20028
13 20025
14 20025
15 20021
16 20001

About Gin Yee

Gin Yee is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering, Computational Theory and Mathematics, Computer Networks and Communications and Biomedical Engineering, having authored 16 papers that have together received 386 indexed citations. Recurring topics across this work include Low-power high-performance VLSI design (16 papers), VLSI and Analog Circuit Testing (6 papers), VLSI and FPGA Design Techniques (5 papers), Advancements in Semiconductor Devices and Circuit Design (4 papers), Quantum-Dot Cellular Automata (3 papers), Analog and Mixed-Signal Circuit Design (3 papers), Radiation Effects in Electronics (2 papers) and Advancements in PLL and VCO Technologies (2 papers). The work is most often cited by research in Hardware and Architecture (171 citations), Electrical and Electronic Engineering (362 citations), Computational Theory and Mathematics (63 citations), Computer Networks and Communications (50 citations) and Biomedical Engineering (80 citations). Gin Yee has collaborated with scholars based in United States. Frequent co-authors include Carl Sechen, Anup Kumar Das, Fabian Klass, Kathirgamar Aingaran, Cong Nam Truong, R. Heald, L. McMurchie and Ban P. Wong. Their work appears in journals such as IEEE Transactions on Very Large Scale Integration (VLSI) Systems and IEEE Journal of Solid-State Circuits.

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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