En-Yu Yang
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
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- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- Semiconductor materials and devices
- CCD and CMOS Imaging Sensors
Papers in
-
- Advanced Memory and Neural Computing 6
- Semiconductor materials and devices 4
- Ferroelectric and Negative Capacitance Devices 2
-
- Advanced Neural Network Applications 5
- Co-authors
- Meng‐Fan Chang (2 shared papers)Gu-Yeon Wei (8 shared papers)David Brooks (8 shared papers)Xiaoyu Sun (1 shared paper)Ya‐Chin King (3 shared papers)Xin Si (1 shared paper)Jiafang Li (1 shared paper)Win-San Khwa (1 shared paper)
- Journals
- IEEE Transactions on Electron Devices (2 papers)ACM Transactions on Embedded Computing Systems (1 paper)IEEE Journal of Solid-State Circuits (1 paper)2022 Design, Automation & Test in Europe Conference & Exhibition (DATE) (1 paper)
- Partner nations
- United StatesTaiwanChina
In The Last Decade
En-Yu Yang
15 papers receiving 633 citations
Peers
Comparison fields: 5 of 43
- Hardware and Architecture 97
- Electrical and Electronic Engineering 506
- Computational Mathematics 4
- Computer Vision and Pattern Recognition 134
- Artificial Intelligence 155
Countries citing papers authored by En-Yu Yang
This map shows the geographic impact of En-Yu 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 En-Yu Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites En-Yu Yang more than expected).
Fields of papers citing papers by En-Yu Yang
This network shows the impact of papers produced by En-Yu 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 En-Yu Yang. The network helps show where En-Yu Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside En-Yu 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 | 2018 | 267 | |
| 2 | 2018 | 192 | |
| 3 | 2021 | 64 | |
| 4 | 2020 | 43 | |
| 5 | 2021 | 26 | |
| 6 | 2022 | 13 | |
| 7 | 2021 | 8 | |
| 8 | 2022 | 7 | |
| 9 | EdgeBERT: Optimizing On-Chip Inference for Multi-Task NLP. | 2020 | 7 |
| 10 | 2005 | 5 | |
| 11 | 2023 | 4 | |
| 12 | 2001 | 3 | |
| 13 | 1999 | 2 | |
| 14 | 2005 | 1 | |
| 15 | 2021 | 1 |
About En-Yu Yang
En-Yu Yang is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications and Signal Processing, having authored 15 papers that have together received 643 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (6 papers), Advanced Neural Network Applications (5 papers), Advanced Data Storage Technologies (4 papers), Speech Recognition and Synthesis (4 papers), Semiconductor materials and devices (4 papers), Speech and Audio Processing (3 papers), Ferroelectric and Negative Capacitance Devices (2 papers) and Music and Audio Processing (2 papers). The work is most often cited by research in Hardware and Architecture (97 citations), Electrical and Electronic Engineering (506 citations), Computational Mathematics (4 citations), Computer Vision and Pattern Recognition (134 citations) and Artificial Intelligence (155 citations). En-Yu Yang has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Meng‐Fan Chang, Gu-Yeon Wei, David Brooks, Xiaoyu Sun, Ya‐Chin King, Xin Si, Jiafang Li, Win-San Khwa, Jiajing Chen and Pai-Yu Chen. Their work appears in journals such as IEEE Transactions on Electron Devices, ACM Transactions on Embedded Computing Systems, IEEE Journal of Solid-State Circuits and 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE).
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.