Zongben Xu
- Computer Vision and Pattern Recognition top 0.1%
- Artificial Intelligence top 0.2%
- Computational Mechanics top 0.2%
- Media Technology top 0.1%
- Biomedical Engineering top 2%
- Co-authors
- Deyu MengJian SunQian ZhaoYan YangHuibin LiQi XieXiangyong CaoG. F. Roach
- Topics
- Sparse and Compressive Sensing Techniques (55 papers)Image and Signal Denoising Methods (37 papers)Neural Networks and Applications (33 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Zongben Xu
284 papers receiving 10.4k citations
Hit Papers
Peers
Comparison fields: 5 of 181
- Computer Vision and Pattern Recognition 4.1k
- Artificial Intelligence 2.8k
- Computational Mechanics 2.2k
- Media Technology 2.0k
- Biomedical Engineering 1.3k
Countries citing papers authored by Zongben Xu
This map shows the geographic impact of Zongben Xu'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 Zongben Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zongben Xu more than expected).
Fields of papers citing papers by Zongben Xu
This network shows the impact of papers produced by Zongben Xu. 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 Zongben Xu. The network helps show where Zongben Xu may publish in the future.
Co-authorship network of co-authors of Zongben Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Zongben Xu. A scholar is included among the top collaborators of Zongben Xu 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 Zongben Xu. Zongben Xu 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 | 1 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 11 | |
| 9 | 1 | |
| 10 | 10 | |
| 11 | 11 | |
| 12 | 9 | |
| 13 | 8 | |
| 14 | 4 | |
| 15 | 4 | |
| 16 | 18 | |
| 17 | 39 | |
| 18 | 24 | |
| 19 | Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting | 54 |
| 20 | Deep ADMM-Net for compressive sensing MRIbreakdown → | 564 |
About Zongben Xu
Zongben Xu is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition and Numerical Analysis, having authored 301 papers that have together received 10.7k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (55 papers), Image and Signal Denoising Methods (37 papers) and Neural Networks and Applications (33 papers). The work is most often cited by research in Computational Mathematics (306 citations), Media Technology (2.0k citations) and Computer Vision and Pattern Recognition (4.1k citations). Zongben Xu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Deyu Meng, Jian Sun, Qian Zhao, Yan Yang, Huibin Li, Jian Sun, Qi Xie, Xiangyong Cao, G. F. Roach and Jigen Peng. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.