Pai-Yu Chen

6.2k citations
58 papers · 5.0k indexed · 4 hit papers · h-index 32

Pai-Yu Chen

58 papers receiving 4.9k citations

Hit Papers

SiGe epitaxial memory for neuromorphic computing with rep...5922016202620192022100200300400500

Peers

Pai-Yu Chen
Comparison fields: 5 of 73
  • Electrical and Electronic Engineering 4.8k
  • Cellular and Molecular Neuroscience 1.5k
  • Hardware and Architecture 299
  • Polymers and Plastics 493
  • Artificial Intelligence 810
Replace Pritish Narayanan with:
Pritish Narayanan United States
Stefano Ambrogio United States
Mark Barnell United States
Zhiyong Li United States
Wenqiang Zhang China
Peng Yao China
Irem Boybat Switzerland
M. Prezioso United States
Catherine E. Graves United States
Bipin Rajendran United States
Pai-Yu Chen relative to Pritish Narayanan United States Pritish Narayanan's profile →
Citations per field
00.5×1.5×1.9×
Pritish Narayanan · 1×
Citations per year

Countries citing papers authored by Pai-Yu Chen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Pai-Yu Chen Line = papers co-authored together Pai-Yu Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2018187
2 2018119
3
SiGe epitaxial memory for neuromorphic computing with reproducible high performance based on engineered dislocationsbreakdown →
2018592
4 201820
5 2017318
6
Ferroelectric FET analog synapse for acceleration of deep neural network trainingbreakdown →
2017430
7 2017129
8 2017130
9 20176
10 201618
11 2016166
12 20163
13 201655
14 201631
15 201538
16 2015177
17 201418
18 20142
19 201224
20 201273

About Pai-Yu Chen

Pai-Yu Chen is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Polymers and Plastics and Cognitive Neuroscience, having authored 58 papers that have together received 5.0k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (57 papers), Ferroelectric and Negative Capacitance Devices (44 papers), Neuroscience and Neural Engineering (16 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 (6 papers) and Transition Metal Oxide Nanomaterials (6 papers). The work is most often cited by research in Electrical and Electronic Engineering (4.8k citations), Cellular and Molecular Neuroscience (1.5k citations), Hardware and Architecture (299 citations), Polymers and Plastics (493 citations) and Artificial Intelligence (810 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, Pankaj Sharma, Kai Ni, Jianchi Zhang, Suman Datta and Matthew Jerry. Their work appears in journals such as IEEE Transactions on Electron Devices, IEEE Electron Device Letters, Applied Physics 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.

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