Shaoping Xu
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Control and Systems Engineering top 10%
- Media Technology top 2%
- Biomedical Engineering
- Co-authors
- Xiaohui YangShunliang JiangPeter LiuChunsheng YangXin HuangRuixin LiLingyan HuZaixing Chen
- Topics
- Image and Signal Denoising Methods (30 papers)Advanced Image Fusion Techniques (25 papers)Advanced Image Processing Techniques (17 papers)
- Cited by
- Energy Engineering and Power TechnologyMedia TechnologyComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessEnergy
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Shaoping Xu
65 papers receiving 669 citations
Peers
Comparison fields: 5 of 88
- Computer Vision and Pattern Recognition 262
- Electrical and Electronic Engineering 210
- Control and Systems Engineering 144
- Media Technology 140
- Biomedical Engineering 85
Countries citing papers authored by Shaoping Xu
This map shows the geographic impact of Shaoping 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 Shaoping Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaoping Xu more than expected).
Fields of papers citing papers by Shaoping Xu
This network shows the impact of papers produced by Shaoping 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 Shaoping Xu. The network helps show where Shaoping Xu may publish in the future.
Co-authorship network of co-authors of Shaoping Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Shaoping Xu. A scholar is included among the top collaborators of Shaoping 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 Shaoping Xu. Shaoping 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 | 0 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 5 | |
| 12 | 4 | |
| 13 | 2 | |
| 14 | 5 | |
| 15 | 6 | |
| 16 | 8 | |
| 17 | 10 | |
| 18 | 3 | |
| 19 | 6 | |
| 20 | 8 |
About Shaoping Xu
Shaoping Xu is a scholar working on Media Technology, Computer Graphics and Computer-Aided Design and Computer Vision and Pattern Recognition, having authored 70 papers that have together received 690 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (30 papers), Advanced Image Fusion Techniques (25 papers) and Advanced Image Processing Techniques (17 papers). The work is most often cited by research in Energy Engineering and Power Technology (51 citations), Media Technology (140 citations) and Computer Vision and Pattern Recognition (262 citations). Shaoping Xu has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Xiaohui Yang, Shunliang Jiang, Peter Liu, Chunsheng Yang, Xin Huang, Ruixin Li, Lingyan Hu, Zaixing Chen, Weidong Min and Chunquan Li. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Energy.
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.