Cunxi Yu
Impact in
- Hardware and Architecture top 2%
- VLSI and Analog Circuit Testing
- Physical Unclonable Functions (PUFs) and Hardware Security
- Embedded Systems Design Techniques
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- Formal Methods in Verification
Papers in
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- VLSI and Analog Circuit Testing 23
- Embedded Systems Design Techniques 10
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- Formal Methods in Verification 19
- Co-authors
- Maciej CiesielskiZhiru ZhangDuo LiuGiovanni De MicheliWeilu GaoHouping XiaoRuiyang ChenDaniel Holcomb
- Journals
- IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (7 papers)Scientific Reports (2 papers)Laser & Photonics Review (2 papers)ACM Transactions on Design Automation of Electronic Systems (2 papers)Nature Communications (1 paper)
- Partner nations
- United StatesSwitzerlandChina
In The Last Decade
Cunxi Yu
60 papers receiving 751 citations
Peers
Comparison fields: 5 of 53
- Hardware and Architecture 379
- Computational Theory and Mathematics 213
- Software 44
- Electrical and Electronic Engineering 460
- Artificial Intelligence 240
Countries citing papers authored by Cunxi Yu
This map shows the geographic impact of Cunxi Yu'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 Cunxi Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cunxi Yu more than expected).
Fields of papers citing papers by Cunxi Yu
This network shows the impact of papers produced by Cunxi Yu. 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 Cunxi Yu. The network helps show where Cunxi Yu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Cunxi Yu, 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 3 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 4 | |
| 9 | 2024 | 9 | |
| 10 | 2024 | 7 | |
| 11 | 2024 | 1 | |
| 12 | 2024 | 2 | |
| 13 | 2023 | 0 | |
| 14 | 2022 | 3 | |
| 15 | 2022 | 20 | |
| 16 | 2022 | 7 | |
| 17 | 2022 | 33 | |
| 18 | 2021 | 12 | |
| 19 | 2018 | 7 | |
| 20 | 2017 | 38 |
About Cunxi Yu
Cunxi Yu is a scholar working on Hardware and Architecture, Computational Theory and Mathematics, Software, Electrical and Electronic Engineering and Artificial Intelligence, having authored 68 papers that have together received 768 indexed citations. Recurring topics across this work include VLSI and Analog Circuit Testing (23 papers), Formal Methods in Verification (19 papers), Neural Networks and Reservoir Computing (14 papers), Embedded Systems Design Techniques (10 papers), VLSI and FPGA Design Techniques (10 papers), Low-power high-performance VLSI design (10 papers), Advanced Memory and Neural Computing (9 papers) and Photonic and Optical Devices (9 papers). The work is most often cited by research in Hardware and Architecture (379 citations), Computational Theory and Mathematics (213 citations), Software (44 citations), Electrical and Electronic Engineering (460 citations) and Artificial Intelligence (240 citations). Cunxi Yu has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Maciej Ciesielski, Zhiru Zhang, Duo Liu, Giovanni De Micheli, Weilu Gao, Houping Xiao, Ruiyang Chen, Daniel Holcomb, André Rossi and Alan Mishchenko. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Scientific Reports, Laser & Photonics Review, ACM Transactions on Design Automation of Electronic Systems and Nature Communications.
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.