Xiongjun Zhang
- Computational Mechanics top 2%
- Computational Mathematics top 0.1%
- Computer Vision and Pattern Recognition top 2%
- Radiology, Nuclear Medicine and Imaging
- Signal Processing top 10%
- Co-authors
- Michael K. NgMinru BaiGuang‐Jing SongDuo QiuXi-Le ZhaoTeng-Yu JiQianqian ShaoTing‐Zhu Huang
- Topics
- Sparse and Compressive Sensing Techniques (29 papers)Tensor decomposition and applications (21 papers)Image and Signal Denoising Methods (15 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Information Theory
In The Last Decade
Xiongjun Zhang
42 papers receiving 785 citations
Peers
Comparison fields: 5 of 77
- Computational Mechanics 530
- Computational Mathematics 444
- Computer Vision and Pattern Recognition 417
- Radiology, Nuclear Medicine and Imaging 89
- Signal Processing 77
Countries citing papers authored by Xiongjun Zhang
This map shows the geographic impact of Xiongjun Zhang'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 Xiongjun Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiongjun Zhang more than expected).
Fields of papers citing papers by Xiongjun Zhang
This network shows the impact of papers produced by Xiongjun Zhang. 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 Xiongjun Zhang. The network helps show where Xiongjun Zhang may publish in the future.
Co-authorship network of co-authors of Xiongjun Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Xiongjun Zhang. A scholar is included among the top collaborators of Xiongjun Zhang 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 Xiongjun Zhang. Xiongjun Zhang 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 | 6 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 15 | |
| 6 | 4 | |
| 7 | 38 | |
| 8 | 22 | |
| 9 | 39 | |
| 10 | 0 | |
| 11 | 52 | |
| 12 | 139 | |
| 13 | 13 | |
| 14 | 0 | |
| 15 | 2 | |
| 16 | 4 | |
| 17 | RESEARCH SITUATION AND PROGRESS OF DAMPING MATERIALS | 1 |
| 18 | 4 | |
| 19 | 11 | |
| 20 | Study of low jitter and small drift switch pulse generator | 1 |
About Xiongjun Zhang
Xiongjun Zhang is a scholar working on Computational Mathematics, Computational Mechanics and Computer Vision and Pattern Recognition, having authored 50 papers that have together received 811 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (29 papers), Tensor decomposition and applications (21 papers) and Image and Signal Denoising Methods (15 papers). The work is most often cited by research in Computational Mathematics (444 citations), Computational Mechanics (530 citations) and Computer Vision and Pattern Recognition (417 citations). Xiongjun Zhang has collaborated with scholars based in China, Hong Kong and Canada. Frequent co-authors include Michael K. Ng, Minru Bai, Guang‐Jing Song, Duo Qiu, Xi-Le Zhao, Teng-Yu Ji, Qianqian Shao, Ting‐Zhu Huang, Guyan Ni and Chunfeng Cui. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Information Theory.
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.