Pai-Yu Chen
Impact in
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- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
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- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- Semiconductor materials and devices
Papers in
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- Advanced Memory and Neural Computing 62
- Ferroelectric and Negative Capacitance Devices 48
- Semiconductor materials and devices 12
- CCD and CMOS Imaging Sensors 7
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- Neuroscience and Neural Engineering 19
- Co-authors
- Shimeng Yu (55 shared papers)Xiaochen Peng (6 shared papers)Ligang Gao (9 shared papers)Yu Cao (17 shared papers)Jae-sun Seo (13 shared papers)Suman Datta (3 shared papers)Pankaj Sharma (3 shared papers)Matthew Jerry (3 shared papers)
- Journals
- IEEE Transactions on Electron Devices (4 papers)Applied Physics Letters (3 papers)IEEE Electron Device Letters (3 papers)IEEE Transactions on Very Large Scale Integration (VLSI) Systems (2 papers)Journal of Computational Electronics (2 papers)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Pai-Yu Chen
62 papers receiving 5.3k citations
Pai-Yu Chen's Hit Papers
Peers
Comparison fields: 5 of 78
- Cellular and Molecular Neuroscience 1.6k
- Electrical and Electronic Engineering 5.1k
- Hardware and Architecture 314
- Polymers and Plastics 526
- Artificial Intelligence 835
Countries citing papers authored by Pai-Yu Chen
This map shows the geographic impact of Pai-Yu Chen'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 Pai-Yu Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pai-Yu Chen more than expected).
Fields of papers citing papers by Pai-Yu Chen
This network shows the impact of papers produced by Pai-Yu Chen. 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 Pai-Yu Chen. The network helps show where Pai-Yu Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Pai-Yu Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | SiGe epitaxial memory for neuromorphic computing with reproducible high performance based on engineered dislocations Hit paper breakdown → | 2018 | 610 |
| 2 | NeuroSim: A Circuit-Level Macro Model for Benchmarking Neuro-Inspired Architectures in Online Learning Hit paper breakdown → | 2018 | 494 |
| 3 | Ferroelectric FET analog synapse for acceleration of deep neural network training Hit paper breakdown → | 2017 | 449 |
| 4 | Emerging Memory Technologies: Recent Trends and Prospects Hit paper breakdown → | 2016 | 425 |
| 5 | 2017 | 328 | |
| 6 | 2015 | 291 | |
| 7 | 2018 | 195 | |
| 8 | 2015 | 188 | |
| 9 | 2015 | 182 | |
| 10 | 2016 | 173 | |
| 11 | 2017 | 133 | |
| 12 | 2017 | 132 | |
| 13 | 2018 | 125 | |
| 14 | 2016 | 122 | |
| 15 | 2015 | 121 | |
| 16 | 2018 | 120 | |
| 17 | 2015 | 88 | |
| 18 | 2012 | 75 | |
| 19 | 2016 | 63 | |
| 20 | 2015 | 61 |
About Pai-Yu Chen
Pai-Yu Chen is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Hardware and Architecture and Polymers and Plastics, having authored 63 papers that have together received 5.3k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (62 papers), Ferroelectric and Negative Capacitance Devices (48 papers), Neuroscience and Neural Engineering (19 papers), Semiconductor materials and devices (12 papers), Neural dynamics and brain function (7 papers), Physical Unclonable Functions (PUFs) and Hardware Security (7 papers), CCD and CMOS Imaging Sensors (7 papers) and Electronic and Structural Properties of Oxides (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.6k citations), Electrical and Electronic Engineering (5.1k citations), Hardware and Architecture (314 citations), Polymers and Plastics (526 citations) and Artificial Intelligence (835 citations). Pai-Yu Chen has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Shimeng Yu, Xiaochen Peng, Ligang Gao, Yu Cao, Jae-sun Seo, Suman Datta, Pankaj Sharma, Matthew Jerry, Kai Ni and Jianchi Zhang. Their work appears in journals such as IEEE Transactions on Electron Devices, Applied Physics Letters, IEEE Electron Device Letters, IEEE Transactions on Very Large Scale Integration (VLSI) Systems and Journal of Computational Electronics.
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.