Chaofei Yang
Impact in
- Hardware and Architecture top 10%
- Physical Unclonable Functions (PUFs) and Hardware Security
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- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- CCD and CMOS Imaging Sensors
Papers in
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- Neuroscience and Neural Engineering 5
- Photoreceptor and optogenetics research 3
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- Physical Unclonable Functions (PUFs) and Hardware Security 4
- Co-authors
- Hai Helen Li (11 shared papers)Yiran Chen (12 shared papers)Beiye Liu (5 shared papers)Qing Wu (6 shared papers)Chenchen Liu (5 shared papers)Zheng Li (3 shared papers)Bonan Yan (3 shared papers)Linghao Song (2 shared papers)
- Partner nations
- United StatesChina
In The Last Decade
Chaofei Yang
15 papers receiving 253 citations
Peers
Comparison fields: 5 of 35
- Hardware and Architecture 38
- Electrical and Electronic Engineering 185
- Cellular and Molecular Neuroscience 56
- Artificial Intelligence 89
- Computer Vision and Pattern Recognition 39
Countries citing papers authored by Chaofei Yang
This map shows the geographic impact of Chaofei Yang'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 Chaofei Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaofei Yang more than expected).
Fields of papers citing papers by Chaofei Yang
This network shows the impact of papers produced by Chaofei Yang. 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 Chaofei Yang. The network helps show where Chaofei Yang may publish in the future.
Co-authors
The 24 scholars most cited alongside Chaofei Yang, 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 | 2015 | 116 | |
| 2 | 2021 | 36 | |
| 3 | 2016 | 18 | |
| 4 | 2019 | 16 | |
| 5 | 2017 | 15 | |
| 6 | 2015 | 12 | |
| 7 | 2016 | 11 | |
| 8 | 2016 | 10 | |
| 9 | 2023 | 10 | |
| 10 | 2015 | 3 | |
| 11 | 2019 | 2 | |
| 12 | 2020 | 2 | |
| 13 | 2019 | 1 | |
| 14 | 2016 | 1 | |
| 15 | 2025 | 1 |
About Chaofei Yang
Chaofei Yang is a scholar working on Cellular and Molecular Neuroscience, Hardware and Architecture, Electrical and Electronic Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 15 papers that have together received 254 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (11 papers), Ferroelectric and Negative Capacitance Devices (9 papers), Neuroscience and Neural Engineering (5 papers), Physical Unclonable Functions (PUFs) and Hardware Security (4 papers), Photoreceptor and optogenetics research (3 papers), Advanced Neural Network Applications (1 paper), Generative Adversarial Networks and Image Synthesis (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). The work is most often cited by research in Hardware and Architecture (38 citations), Electrical and Electronic Engineering (185 citations), Cellular and Molecular Neuroscience (56 citations), Artificial Intelligence (89 citations) and Computer Vision and Pattern Recognition (39 citations). Chaofei Yang has collaborated with scholars based in United States and China. Frequent co-authors include Hai Helen Li, Yiran Chen, Beiye Liu, Qing Wu, Chenchen Liu, Zheng Li, Bonan Yan, Linghao Song, Hao Jiang and Lei Ding. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.
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.