Guoshen Yu
- Computer Vision and Pattern Recognition top 0.5%
- Aerospace Engineering top 1%
- Media Technology top 0.5%
- Computational Mechanics top 2%
- Signal Processing top 2%
- Co-authors
- Jean‐Michel MorelStéphane MallatGuillermo SapiroEmmanuel BacryJean-Jacques SlotineLawrence CarinJulio M. Duarte‐CarvajalinoJ.-J.E. Slotine
- Topics
- Sparse and Compressive Sensing Techniques (10 papers)Image and Signal Denoising Methods (10 papers)Advanced Image Processing Techniques (6 papers)
- Journals
- IEEE Transactions on Image ProcessingIEEE Transactions on Signal ProcessingEClinicalMedicine
- Partner nations
- FranceUnited StatesNew Zealand
In The Last Decade
Guoshen Yu
20 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Computer Vision and Pattern Recognition 2.0k
- Aerospace Engineering 864
- Media Technology 475
- Computational Mechanics 388
- Signal Processing 279
Countries citing papers authored by Guoshen Yu
This map shows the geographic impact of Guoshen 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 Guoshen Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guoshen Yu more than expected).
Fields of papers citing papers by Guoshen Yu
This network shows the impact of papers produced by Guoshen 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 Guoshen Yu. The network helps show where Guoshen Yu may publish in the future.
Co-authorship network of co-authors of Guoshen Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Guoshen Yu. A scholar is included among the top collaborators of Guoshen Yu 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 Guoshen Yu. Guoshen Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 39 | |
| 3 | 7 | |
| 4 | Solving Inverse Problems With Piecewise Linear Estimators: From Gaussian Mixture Models to Structured Sparsitybreakdown → | 391 |
| 5 | 12 | |
| 6 | 60 | |
| 7 | 12 | |
| 8 | 105 | |
| 9 | 227 | |
| 10 | 222 | |
| 11 | 54 | |
| 12 | 15 | |
| 13 | ASIFT: A New Framework for Fully Affine Invariant Image Comparisonbreakdown → | 1009 |
| 14 | Sparse Super-Resolution with Space Matching Pursuits | 6 |
| 15 | 1 | |
| 16 | 91 | |
| 17 | 50 | |
| 18 | 15 | |
| 19 | 101 | |
| 20 | 14 |
About Guoshen Yu
Guoshen Yu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computational Mechanics, having authored 21 papers that have together received 2.5k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (10 papers), Image and Signal Denoising Methods (10 papers) and Advanced Image Processing Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.0k citations), Media Technology (475 citations) and Aerospace Engineering (864 citations). Guoshen Yu has collaborated with scholars based in France, United States and New Zealand. Frequent co-authors include Jean‐Michel Morel, Stéphane Mallat, Guillermo Sapiro, Emmanuel Bacry, Jean-Jacques Slotine, Lawrence Carin, Julio M. Duarte‐Carvajalino, J.-J.E. Slotine, Yujia Jin and Jiawei Zhong. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Signal Processing and EClinicalMedicine.
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.