You‐Wei Wen
Impact in
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- Image and Signal Denoising Methods
- Advanced Image Processing Techniques
- Medical Image Segmentation Techniques
- Computational Mathematics top 5%
Papers in
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- Image and Signal Denoising Methods 25
- Advanced Image Processing Techniques 12
- Medical Image Segmentation Techniques 8
- Advanced Vision and Imaging 4
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- Sparse and Compressive Sensing Techniques 23
- Co-authors
- Michael K. Ng (16 shared papers)Yumei Huang (5 shared papers)Raymond H. Chan (8 shared papers)Wai‐Ki Ching (9 shared papers)James Darnell (1 shared paper)Neil Stahl (1 shared paper)Teri G. Boulton (1 shared paper)Z Zhong (1 shared paper)
In The Last Decade
You‐Wei Wen
47 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 112
- Computer Vision and Pattern Recognition 839
- Computational Mathematics 23
- Media Technology 292
- Computational Mechanics 527
- Mathematical Physics 140
Countries citing papers authored by You‐Wei Wen
This map shows the geographic impact of You‐Wei Wen'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 You‐Wei Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites You‐Wei Wen more than expected).
Fields of papers citing papers by You‐Wei Wen
This network shows the impact of papers produced by You‐Wei Wen. 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 You‐Wei Wen. The network helps show where You‐Wei Wen may publish in the future.
Co-authors
The 25 scholars most cited alongside You‐Wei Wen, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 249 | |
| 2 | 1995 | 182 | |
| 3 | 2008 | 173 | |
| 4 | 2011 | 126 | |
| 5 | 2024 | 71 | |
| 6 | 2008 | 66 | |
| 7 | 2008 | 63 | |
| 8 | 2008 | 57 | |
| 9 | 2009 | 52 | |
| 10 | 2015 | 47 | |
| 11 | 2017 | 39 | |
| 12 | 2011 | 37 | |
| 13 | 2012 | 29 | |
| 14 | 2002 | 27 | |
| 15 | 2009 | 23 | |
| 16 | 2013 | 21 | |
| 17 | 2018 | 17 | |
| 18 | 2018 | 15 | |
| 19 | 2018 | 11 | |
| 20 | 2004 | 11 |
About You‐Wei Wen
You‐Wei Wen is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Mathematical Physics, Electrical and Electronic Engineering and Computational Theory and Mathematics, having authored 50 papers that have together received 1.4k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (25 papers), Sparse and Compressive Sensing Techniques (23 papers), Advanced Image Processing Techniques (12 papers), Numerical methods in inverse problems (9 papers), Medical Image Segmentation Techniques (8 papers), Matrix Theory and Algorithms (6 papers), Advanced Vision and Imaging (4 papers) and Advancements in Battery Materials (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (839 citations), Computational Mathematics (23 citations), Media Technology (292 citations), Computational Mechanics (527 citations) and Mathematical Physics (140 citations). You‐Wei Wen has collaborated with scholars based in China, Hong Kong and Singapore. Frequent co-authors include Michael K. Ng, Yumei Huang, Raymond H. Chan, Wai‐Ki Ching, James Darnell, Neil Stahl, Teri G. Boulton, Z Zhong, G.D. Yancopoulos and Andy M. Yip. Their work appears in journals such as IEEE Transactions on Image Processing, Numerical Linear Algebra with Applications, Journal of Scientific Computing, SIAM Journal on Scientific Computing and SIAM Journal on Imaging Sciences.
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.