Chunlin Wu
Impact in
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- Computer Graphics and Visualization Techniques
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- Image and Signal Denoising Methods
- Medical Image Segmentation Techniques
- Advanced Image Processing Techniques
Papers in
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- Sparse and Compressive Sensing Techniques 25
- 3D Shape Modeling and Analysis 8
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- Image and Signal Denoising Methods 16
- Medical Image Segmentation Techniques 14
- Advanced Image Processing Techniques 7
- Co-authors
- Xue‐Cheng Tai (8 shared papers)Juyong Zhang (6 shared papers)Huayan Zhang (5 shared papers)Jiansong Deng (6 shared papers)Chao Zeng (4 shared papers)Yuping Duan (5 shared papers)Jianmin Zheng (3 shared papers)Jianfei Cai (2 shared papers)
In The Last Decade
Chunlin Wu
74 papers receiving 1.4k citations
Chunlin Wu's Hit Papers
Peers
Comparison fields: 5 of 111
- Computer Graphics and Computer-Aided Design 196
- Computer Vision and Pattern Recognition 794
- Computational Mechanics 731
- Mathematical Physics 178
- Media Technology 156
Countries citing papers authored by Chunlin Wu
This map shows the geographic impact of Chunlin Wu'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 Chunlin Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunlin Wu more than expected).
Fields of papers citing papers by Chunlin Wu
This network shows the impact of papers produced by Chunlin Wu. 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 Chunlin Wu. The network helps show where Chunlin Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chunlin Wu, 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 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Augmented Lagrangian Method, Dual Methods, and Split Bregman Iteration for ROF, Vectorial TV, and High Order Models Hit paper breakdown → | 2010 | 439 |
| 2 | 2011 | 122 | |
| 3 | 2019 | 121 | |
| 4 | 2015 | 77 | |
| 5 | 2012 | 62 | |
| 6 | 2015 | 50 | |
| 7 | 2009 | 34 | |
| 8 | 2011 | 34 | |
| 9 | 2010 | 29 | |
| 10 | 2019 | 29 | |
| 11 | 2018 | 26 | |
| 12 | 2016 | 26 | |
| 13 | 2011 | 24 | |
| 14 | 2019 | 22 | |
| 15 | 2018 | 21 | |
| 16 | 2020 | 20 | |
| 17 | 2015 | 20 | |
| 18 | 2018 | 19 | |
| 19 | 2018 | 16 | |
| 20 | 2020 | 14 |
About Chunlin Wu
Chunlin Wu is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition, Mathematical Physics, Computer Graphics and Computer-Aided Design and Materials Chemistry, having authored 80 papers that have together received 1.5k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (25 papers), Image and Signal Denoising Methods (16 papers), Numerical methods in inverse problems (15 papers), Medical Image Segmentation Techniques (14 papers), Computer Graphics and Visualization Techniques (10 papers), 3D Shape Modeling and Analysis (8 papers), Advanced Image Processing Techniques (7 papers) and Medical Imaging Techniques and Applications (7 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (196 citations), Computer Vision and Pattern Recognition (794 citations), Computational Mechanics (731 citations), Mathematical Physics (178 citations) and Media Technology (156 citations). Chunlin Wu has collaborated with scholars based in China, Singapore and Norway. Frequent co-authors include Xue‐Cheng Tai, Juyong Zhang, Huayan Zhang, Jiansong Deng, Chao Zeng, Yuping Duan, Jianmin Zheng, Jianfei Cai, Hamed Karimian and Huibin Chang. Their work appears in journals such as Journal of Scientific Computing, Inverse Problems, SIAM Journal on Imaging Sciences, Advances in Computational Mathematics and Communications in Mathematical 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.