Xiuli Chai
- Computer Vision and Pattern Recognition top 0.5%
- Computational Theory and Mathematics top 1%
- Artificial Intelligence top 2%
- Mathematical Physics top 5%
- Statistical and Nonlinear Physics top 2%
- Topics
- Chaos-based Image/Signal Encryption (18 papers)Advanced Steganography and Watermarking Techniques (15 papers)Cellular Automata and Applications (7 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputational Theory and MathematicsMathematical Physics
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Xiuli Chai
28 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 47
- Computer Vision and Pattern Recognition 2.1k
- Computational Theory and Mathematics 526
- Artificial Intelligence 505
- Mathematical Physics 275
- Statistical and Nonlinear Physics 273
Countries citing papers authored by Xiuli Chai
This map shows the geographic impact of Xiuli Chai'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 Xiuli Chai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiuli Chai more than expected).
Fields of papers citing papers by Xiuli Chai
This network shows the impact of papers produced by Xiuli Chai. 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 Xiuli Chai. The network helps show where Xiuli Chai may publish in the future.
Co-authorship network of co-authors of Xiuli Chai
This figure shows the co-authorship network connecting the top 25 collaborators of Xiuli Chai. A scholar is included among the top collaborators of Xiuli Chai 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 Xiuli Chai. Xiuli Chai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 19 | |
| 3 | 1 | |
| 4 | 32 | |
| 5 | 22 | |
| 6 | 4 | |
| 7 | 9 | |
| 8 | 108 | |
| 9 | 200 | |
| 10 | An image encryption algorithm based on chaotic system and compressive sensingbreakdown → | 325 |
| 11 | 7 | |
| 12 | 59 | |
| 13 | 244 | |
| 14 | 82 | |
| 15 | 86 | |
| 16 | 201 | |
| 17 | 138 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 2 |
About Xiuli Chai
Xiuli Chai is a scholar working on Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Statistical and Nonlinear Physics, having authored 28 papers that have together received 2.2k indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (18 papers), Advanced Steganography and Watermarking Techniques (15 papers) and Cellular Automata and Applications (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.1k citations), Computational Theory and Mathematics (526 citations) and Mathematical Physics (275 citations). Xiuli Chai has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zhihua Gan, Yiran Chen, Yang Lu, Xianxing Liu, Daojun Han, Kang Yang, Xiaoyu Zheng, Yushu Zhang, Ke Yuan and Haiyang Wu. Their work appears in journals such as Signal Processing, Nonlinear Dynamics and Neural Computing and Applications.
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.