Jian‐Feng Cai
- Computer Vision and Pattern Recognition top 0.1%
- Computational Mechanics top 0.05%
- Media Technology top 0.1%
- Biomedical Engineering top 2%
- Radiology, Nuclear Medicine and Imaging top 1%
- Co-authors
- Zuowei ShenEmmanuel J. CandèsStanley OsherHui JiRaymond H. ChanChaoqiang LiuXiaobo QuZhong Chen
- Topics
- Sparse and Compressive Sensing Techniques (56 papers)Image and Signal Denoising Methods (34 papers)Advanced Image Processing Techniques (20 papers)
- Partner nations
- Hong KongUnited StatesChina
In The Last Decade
Jian‐Feng Cai
94 papers receiving 8.3k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Computer Vision and Pattern Recognition 4.7k
- Computational Mechanics 4.6k
- Media Technology 1.5k
- Biomedical Engineering 1.4k
- Radiology, Nuclear Medicine and Imaging 1.2k
Countries citing papers authored by Jian‐Feng Cai
This map shows the geographic impact of Jian‐Feng Cai'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 Jian‐Feng Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jian‐Feng Cai more than expected).
Fields of papers citing papers by Jian‐Feng Cai
This network shows the impact of papers produced by Jian‐Feng Cai. 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 Jian‐Feng Cai. The network helps show where Jian‐Feng Cai may publish in the future.
Co-authorship network of co-authors of Jian‐Feng Cai
This figure shows the co-authorship network connecting the top 25 collaborators of Jian‐Feng Cai. A scholar is included among the top collaborators of Jian‐Feng Cai 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 Jian‐Feng Cai. Jian‐Feng Cai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 8 | |
| 5 | 19 | |
| 6 | 14 | |
| 7 | 4 | |
| 8 | 9 | |
| 9 | Accelerated Alternating Projections for Robust Principal Component Analysis | 11 |
| 10 | 10 | |
| 11 | 30 | |
| 12 | Scalable Incremental Nonconvex Optimization Approach for Phase Retrieval from Minimal Measurements | 1 |
| 13 | 39 | |
| 14 | 43 | |
| 15 | 13 | |
| 16 | 33 | |
| 17 | 51 | |
| 18 | 199 | |
| 19 | 4 | |
| 20 | 3 |
About Jian‐Feng Cai
Jian‐Feng Cai is a scholar working on Computational Mathematics, Computational Mechanics and Computer Vision and Pattern Recognition, having authored 98 papers that have together received 8.7k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (56 papers), Image and Signal Denoising Methods (34 papers) and Advanced Image Processing Techniques (20 papers). The work is most often cited by research in Computational Mathematics (430 citations), Computer Vision and Pattern Recognition (4.7k citations) and Computational Mechanics (4.6k citations). Jian‐Feng Cai has collaborated with scholars based in Hong Kong, United States and China. Frequent co-authors include Zuowei Shen, Emmanuel J. Candès, Stanley Osher, Hui Ji, Raymond H. Chan, Chaoqiang Liu, Xiaobo Qu, Zhong Chen, Mila Nikolova and Raymond H. Chan. Their work appears in journals such as Physical Review Letters, Angewandte Chemie International Edition and PLoS ONE.
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.