Di Xiao
- Computer Vision and Pattern Recognition top 0.1%
- Artificial Intelligence top 0.5%
- Computational Theory and Mathematics top 0.5%
- Mathematical Physics top 2%
- Statistical and Nonlinear Physics top 1%
- Co-authors
- Yushu ZhangXiaofeng LiaoShaojiang DengYong WangTao XiangYantao LiYanping XiangKwok‐Wo Wong
- Topics
- Chaos-based Image/Signal Encryption (105 papers)Advanced Steganography and Watermarking Techniques (61 papers)Sparse and Compressive Sensing Techniques (40 papers)
- Journals
- The Journal of the Acoustical Society of AmericaOptics LettersExpert Systems with Applications
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Di Xiao
175 papers receiving 5.1k citations
Peers
Comparison fields: 5 of 111
- Computer Vision and Pattern Recognition 4.1k
- Artificial Intelligence 1.8k
- Computational Theory and Mathematics 744
- Mathematical Physics 490
- Statistical and Nonlinear Physics 485
Countries citing papers authored by Di Xiao
This map shows the geographic impact of Di Xiao'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 Di Xiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Di Xiao more than expected).
Fields of papers citing papers by Di Xiao
This network shows the impact of papers produced by Di Xiao. 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 Di Xiao. The network helps show where Di Xiao may publish in the future.
Co-authorship network of co-authors of Di Xiao
This figure shows the co-authorship network connecting the top 25 collaborators of Di Xiao. A scholar is included among the top collaborators of Di Xiao 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 Di Xiao. Di Xiao 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 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 6 | |
| 8 | 2 | |
| 9 | 7 | |
| 10 | 0 | |
| 11 | 8 | |
| 12 | 0 | |
| 13 | A research on the paradoxical effect of telecommuting from the perspective of autonomy-control | 1 |
| 14 | 6 | |
| 15 | 44 | |
| 16 | Reversible watermarking algorithm for encrypted image based on histogram difference shifting | 1 |
| 17 | 3 | |
| 18 | Face recognition method based on multi-scale adaptive LDA | 1 |
| 19 | A reversible image authentication scheme based on chaotic fragile watermark | 0 |
| 20 | 33 |
About Di Xiao
Di Xiao is a scholar working on Computer Vision and Pattern Recognition, Acoustics and Ultrasonics and Computational Mechanics, having authored 193 papers that have together received 5.4k indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (105 papers), Advanced Steganography and Watermarking Techniques (61 papers) and Sparse and Compressive Sensing Techniques (40 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (4.1k citations), Artificial Intelligence (1.8k citations) and Mathematical Physics (490 citations). Di Xiao has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yushu Zhang, Xiaofeng Liao, Shaojiang Deng, Yong Wang, Tao Xiang, Yantao Li, Yanping Xiang, Kwok‐Wo Wong, Kenneth E. Gilbert and Wenying Wen. Their work appears in journals such as The Journal of the Acoustical Society of America, Optics Letters and Expert Systems with 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.