Gin Yee
Impact in
- Hardware and Architecture top 5%
- VLSI and Analog Circuit Testing
- Parallel Computing and Optimization Techniques
-
- Low-power high-performance VLSI design
- Advancements in Semiconductor Devices and Circuit Design
- VLSI and FPGA Design Techniques
- Semiconductor materials and devices
Papers in
-
- Low-power high-performance VLSI design 14
- VLSI and FPGA Design Techniques 5
- Advancements in Semiconductor Devices and Circuit Design 4
- Radiation Effects in Electronics 2
- Advanced Memory and Neural Computing 1
-
- VLSI and Analog Circuit Testing 6
- Co-authors
- Carl Sechen (11 shared papers)R. Heald (1 shared paper)Cong Nam Truong (1 shared paper)F. Klass (1 shared paper)K. Aingaran (1 shared paper)Anup Das (1 shared paper)L. McMurchie (1 shared paper)
- Journals
- IEEE Transactions on Very Large Scale Integration (VLSI) Systems (3 papers)IEEE Journal of Solid-State Circuits (1 paper)
- Partner nations
- United States
In The Last Decade
Gin Yee
14 papers receiving 271 citations
Peers
Comparison fields: 5 of 14
- Hardware and Architecture 119
- Electrical and Electronic Engineering 281
- Computational Theory and Mathematics 59
- Biomedical Engineering 72
- Computer Networks and Communications 27
Countries citing papers authored by Gin Yee
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
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 7 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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 107 | |
| 2 | 2002 | 33 | |
| 3 | 2000 | 28 | |
| 4 | 2003 | 25 | |
| 5 | 2002 | 25 | |
| 6 | 1998 | 18 | |
| 7 | 2002 | 16 | |
| 8 | 2003 | 13 | |
| 9 | 1999 | 11 | |
| 10 | 2002 | 8 | |
| 11 | 2002 | 6 | |
| 12 | 2002 | 5 | |
| 13 | 2000 | 1 | |
| 14 | 2002 | 1 |
About Gin Yee
Gin Yee is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture, Computational Theory and Mathematics, Biomedical Engineering and Infectious Diseases, having authored 14 papers that have together received 297 indexed citations. Recurring topics across this work include Low-power high-performance VLSI design (14 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 Advanced Memory and Neural Computing (1 paper). The work is most often cited by research in Hardware and Architecture (119 citations), Electrical and Electronic Engineering (281 citations), Computational Theory and Mathematics (59 citations), Biomedical Engineering (72 citations) and Computer Networks and Communications (27 citations). Gin Yee has collaborated with scholars based in United States. Frequent co-authors include Carl Sechen, R. Heald, Cong Nam Truong, F. Klass, K. Aingaran, Anup Das and L. McMurchie. 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.