Zhen Long
- Computational Mathematics top 0.5%
- Computational Mechanics top 5%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Ce ZhuYipeng LiuLongxi ChenMingyi ZhouJian WangZhi-Dan ZhaoYazhou RenPierre Comon
- Topics
- Tensor decomposition and applications (8 papers)Sparse and Compressive Sensing Techniques (7 papers)Image and Signal Denoising Methods (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image Processing
In The Last Decade
Zhen Long
18 papers receiving 430 citations
Peers
Comparison fields: 5 of 55
- Computational Mathematics 213
- Computational Mechanics 207
- Computer Vision and Pattern Recognition 193
- Artificial Intelligence 97
- Radiology, Nuclear Medicine and Imaging 65
Countries citing papers authored by Zhen Long
This map shows the geographic impact of Zhen Long'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 Zhen Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhen Long more than expected).
Fields of papers citing papers by Zhen Long
This network shows the impact of papers produced by Zhen Long. 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 Zhen Long. The network helps show where Zhen Long may publish in the future.
Co-authorship network of co-authors of Zhen Long
This figure shows the co-authorship network connecting the top 25 collaborators of Zhen Long. A scholar is included among the top collaborators of Zhen Long 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 Zhen Long. Zhen Long is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 15 | |
| 5 | 6 | |
| 6 | 10 | |
| 7 | 13 | |
| 8 | 17 | |
| 9 | 23 | |
| 10 | 5 | |
| 11 | 33 | |
| 12 | 9 | |
| 13 | 8 | |
| 14 | 76 | |
| 15 | 64 | |
| 16 | 42 | |
| 17 | 107 | |
| 18 | 1 | |
| 19 | 5 | |
| 20 | 1 |
About Zhen Long
Zhen Long is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 20 papers that have together received 436 indexed citations. Recurring topics across this work include Tensor decomposition and applications (8 papers), Sparse and Compressive Sensing Techniques (7 papers) and Image and Signal Denoising Methods (3 papers). The work is most often cited by research in Computational Mathematics (213 citations), Computational Mechanics (207 citations) and Computer Vision and Pattern Recognition (193 citations). Zhen Long has collaborated with scholars based in China, France and Japan. Frequent co-authors include Ce Zhu, Yipeng Liu, Longxi Chen, Mingyi Zhou, Jian Wang, Zhi-Dan Zhao, Yazhou Ren, Pierre Comon, Xiaolan Xie and Chong‐Yung Chi. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.
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.