Xun Wang
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Information Systems top 10%
- Computational Theory and Mathematics top 10%
- Media Technology top 10%
- Topics
- Advanced Image and Video Retrieval Techniques (8 papers)Computer Graphics and Visualization Techniques (7 papers)Advanced Steganography and Watermarking Techniques (6 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignMedia Technology
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Xun Wang
41 papers receiving 381 citations
Peers
Comparison fields: 5 of 86
- Computer Vision and Pattern Recognition 195
- Artificial Intelligence 106
- Information Systems 70
- Computational Theory and Mathematics 61
- Media Technology 52
Countries citing papers authored by Xun Wang
This map shows the geographic impact of Xun Wang'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 Xun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xun Wang more than expected).
Fields of papers citing papers by Xun Wang
This network shows the impact of papers produced by Xun Wang. 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 Xun Wang. The network helps show where Xun Wang may publish in the future.
Co-authorship network of co-authors of Xun Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Xun Wang. A scholar is included among the top collaborators of Xun Wang 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 Xun Wang. Xun Wang 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 | 0 | |
| 3 | 8 | |
| 4 | 27 | |
| 5 | 6 | |
| 6 | 7 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 2 | |
| 12 | 4 | |
| 13 | 25 | |
| 14 | 7 | |
| 15 | 8 | |
| 16 | 2 | |
| 17 | 1 | |
| 18 | 25 | |
| 19 | A remote sensing image self-adaptive blind watermarking algorithm based on wavelet transformation | 3 |
| 20 | 72 |
About Xun Wang
Xun Wang is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Media Technology, having authored 43 papers that have together received 405 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (8 papers), Computer Graphics and Visualization Techniques (7 papers) and Advanced Steganography and Watermarking Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (195 citations), Computer Graphics and Computer-Aided Design (24 citations) and Media Technology (52 citations). Xun Wang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Guoliang Chen, Huaping Chen, Huiyan Wang, Xibei Yang, Yiyu Yao, Jin Liu, Pingxin Wang, Zhiyong Zhang, Dadong Wang and Chunxiao Liu. Their work appears in journals such as IEEE Access, Pattern Recognition and IEEE Transactions on Intelligent Transportation Systems.
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.