Wen Bin Ye
Impact in
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- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
- Signal Processing top 10%
- Digital Filter Design and Implementation
Papers in
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- Digital Filter Design and Implementation 8
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- Advanced Adaptive Filtering Techniques 7
- Co-authors
- Ya Jun Yu (7 shared papers)Chen Zhang (2 shared papers)Guanglong Ding (2 shared papers)Jia‐Qin Yang (2 shared papers)Kui Zhou (2 shared papers)Ye Zhou (2 shared papers)Fengjiao Li (2 shared papers)Xiaoli Chen (2 shared papers)
- Journals
- IEEE Transactions on Circuits and Systems I Regular Papers (3 papers)Advanced Functional Materials (2 papers)IEEE Access (1 paper)DR-NTU (Nanyang Technological University) (1 paper)
In The Last Decade
Wen Bin Ye
11 papers receiving 384 citations
Peers
Comparison fields: 5 of 39
- Cellular and Molecular Neuroscience 144
- Signal Processing 81
- Polymers and Plastics 83
- Electrical and Electronic Engineering 266
- Cognitive Neuroscience 69
Countries citing papers authored by Wen Bin Ye
This map shows the geographic impact of Wen Bin Ye'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 Wen Bin Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wen Bin Ye more than expected).
Fields of papers citing papers by Wen Bin Ye
This network shows the impact of papers produced by Wen Bin Ye. 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 Wen Bin Ye. The network helps show where Wen Bin Ye may publish in the future.
Co-authors
The 13 scholars most cited alongside Wen Bin Ye, 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 | 2019 | 292 | |
| 2 | 2013 | 28 | |
| 3 | 2014 | 19 | |
| 4 | 2015 | 13 | |
| 5 | 2013 | 12 | |
| 6 | 2017 | 11 | |
| 7 | 2014 | 4 | |
| 8 | 2011 | 4 | |
| 9 | 2012 | 4 | |
| 10 | 2019 | 4 | |
| 11 | 2015 | 3 |
About Wen Bin Ye
Wen Bin Ye is a scholar working on Signal Processing, Computational Mechanics, Computer Vision and Pattern Recognition, Biomedical Engineering and Electrical and Electronic Engineering, having authored 11 papers that have together received 394 indexed citations. Recurring topics across this work include Digital Filter Design and Implementation (8 papers), Advanced Adaptive Filtering Techniques (7 papers), Advanced Data Compression Techniques (4 papers), Analog and Mixed-Signal Circuit Design (3 papers), Image and Signal Denoising Methods (2 papers), Advanced Memory and Neural Computing (2 papers), Advanced Sensor and Energy Harvesting Materials (1 paper) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (144 citations), Signal Processing (81 citations), Polymers and Plastics (83 citations), Electrical and Electronic Engineering (266 citations) and Cognitive Neuroscience (69 citations). Wen Bin Ye has collaborated with scholars based in Singapore and China. Frequent co-authors include Ya Jun Yu, Chen Zhang, Guanglong Ding, Jia‐Qin Yang, Kui Zhou, Ye Zhou, Fengjiao Li, Xiaoli Chen, Hongye Chen and Su‐Ting Han. Their work appears in journals such as IEEE Transactions on Circuits and Systems I Regular Papers, Advanced Functional Materials, IEEE Access and DR-NTU (Nanyang Technological University).
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.