En-Yu Yang
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Hardware and Architecture top 5%
- Cellular and Molecular Neuroscience
- Co-authors
- Meng‐Fan ChangXin SiGu-Yeon WeiJiafang LiQiang LiRui LiuXiaoyu SunDavid Brooks
- Topics
- Advanced Memory and Neural Computing (6 papers)Advanced Neural Network Applications (5 papers)Speech Recognition and Synthesis (4 papers)
- Cited by
- Hardware and ArchitectureElectrical and Electronic EngineeringComputer Vision and Pattern Recognition
- Journals
- IEEE Journal of Solid-State CircuitsIEEE Transactions on Electron DevicesACM Transactions on Embedded Computing Systems
- Partner nations
- United StatesTaiwanChina
In The Last Decade
En-Yu Yang
15 papers receiving 610 citations
Peers
Comparison fields: 5 of 41
- Electrical and Electronic Engineering 494
- Artificial Intelligence 151
- Computer Vision and Pattern Recognition 131
- Hardware and Architecture 91
- Cellular and Molecular Neuroscience 59
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-authorship network of co-authors of En-Yu Yang
This figure shows the co-authorship network connecting the top 25 collaborators of En-Yu Yang. A scholar is included among the top collaborators of En-Yu Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with En-Yu Yang. En-Yu Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 12 | |
| 3 | 7 | |
| 4 | 24 | |
| 5 | 1 | |
| 6 | 60 | |
| 7 | 7 | |
| 8 | 38 | |
| 9 | EdgeBERT: Optimizing On-Chip Inference for Multi-Task NLP. | 7 |
| 10 | 187 | |
| 11 | 262 | |
| 12 | 1 | |
| 13 | 5 | |
| 14 | 3 | |
| 15 | 2 |
About En-Yu Yang
En-Yu Yang is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition and Signal Processing, having authored 15 papers that have together received 620 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (6 papers), Advanced Neural Network Applications (5 papers) and Speech Recognition and Synthesis (4 papers). The work is most often cited by research in Hardware and Architecture (91 citations), Electrical and Electronic Engineering (494 citations) and Computer Vision and Pattern Recognition (131 citations). En-Yu Yang has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Meng‐Fan Chang, Xin Si, Gu-Yeon Wei, Jiafang Li, Qiang Li, Rui Liu, Xiaoyu Sun, David Brooks, Shimeng Yu and Ya‐Chin King. Their work appears in journals such as IEEE Journal of Solid-State Circuits, IEEE Transactions on Electron Devices and ACM Transactions on Embedded Computing 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.