Feng Yu
Impact in
- Signal Processing top 5%
- Digital Filter Design and Implementation
- Hardware and Architecture top 10%
Papers in ⓘ
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- Digital Filter Design and Implementation 15
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- Algorithms and Data Compression 8
- Co-authors
- Wei Luo (7 shared papers)Tianqi Zhu (2 shared papers)Xue Liu (2 shared papers)Bingsheng He (1 shared paper)Zeke Wang (1 shared paper)Hua‐Ping Wan (2 shared papers)Liang Wang (3 shared papers)Yaozhi Luo (2 shared papers)
- Journals
- IEEE Transactions on Circuits & Systems II Express Briefs (15 papers)IEEE Transactions on Very Large Scale Integration (VLSI) Systems (2 papers)IEEE Communications Letters (2 papers)IEEE Journal of Biomedical and Health Informatics (2 papers)IEEE Access (2 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Feng Yu
43 papers receiving 479 citations
Peers
Comparison fields: 5 of 65
- Signal Processing 183
- Hardware and Architecture 40
- Cognitive Neuroscience 105
- Computational Theory and Mathematics 80
- Artificial Intelligence 100
Countries citing papers authored by Feng Yu
This map shows the geographic impact of Feng Yu'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 Feng Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Yu more than expected).
Fields of papers citing papers by Feng Yu
This network shows the impact of papers produced by Feng Yu. 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 Feng Yu. The network helps show where Feng Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng Yu, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 98 | |
| 2 | 2014 | 49 | |
| 3 | 2015 | 38 | |
| 4 | 2021 | 37 | |
| 5 | 2011 | 25 | |
| 6 | 2015 | 21 | |
| 7 | 2020 | 18 | |
| 8 | 2018 | 17 | |
| 9 | 2021 | 16 | |
| 10 | 2017 | 15 | |
| 11 | 2020 | 12 | |
| 12 | 2019 | 12 | |
| 13 | 2016 | 12 | |
| 14 | 2019 | 11 | |
| 15 | 2012 | 10 | |
| 16 | 2021 | 10 | |
| 17 | 2019 | 10 | |
| 18 | 2018 | 8 | |
| 19 | 2024 | 8 | |
| 20 | 2015 | 8 |
About Feng Yu
Feng Yu is a scholar working on Signal Processing, Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 52 papers that have together received 495 indexed citations. Recurring topics across this work include Digital Filter Design and Implementation (15 papers), Algorithms and Data Compression (8 papers), Numerical Methods and Algorithms (7 papers), Optical Network Technologies (4 papers), Network Packet Processing and Optimization (4 papers), Sparse and Compressive Sensing Techniques (4 papers), Advancements in PLL and VCO Technologies (4 papers) and Parallel Computing and Optimization Techniques (4 papers). The work is most often cited by research in Signal Processing (183 citations), Hardware and Architecture (40 citations), Cognitive Neuroscience (105 citations), Computational Theory and Mathematics (80 citations) and Artificial Intelligence (100 citations). Feng Yu has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Wei Luo, Tianqi Zhu, Xue Liu, Bingsheng He, Zeke Wang, Hua‐Ping Wan, Liang Wang, Yaozhi Luo, Shu Wu and Yanbin Shen. Their work appears in journals such as IEEE Transactions on Circuits & Systems II Express Briefs, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Communications Letters, IEEE Journal of Biomedical and Health Informatics and IEEE Access.
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.