Di Xiao

170 papers and 4.7k indexed citations i.

About

Di Xiao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Di Xiao has authored 170 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 117 papers in Computer Vision and Pattern Recognition, 48 papers in Artificial Intelligence and 35 papers in Computational Mechanics. Recurrent topics in Di Xiao’s work include Chaos-based Image/Signal Encryption (100 papers), Advanced Steganography and Watermarking Techniques (59 papers) and Sparse and Compressive Sensing Techniques (33 papers). Di Xiao is often cited by papers focused on Chaos-based Image/Signal Encryption (100 papers), Advanced Steganography and Watermarking Techniques (59 papers) and Sparse and Compressive Sensing Techniques (33 papers). Di Xiao collaborates with scholars based in China, United States and Hong Kong. Di Xiao's co-authors include Yushu Zhang, Xiaofeng Liao, Shaojiang Deng, Yong Wang, Tao Xiang, Yantao Li, Yanping Xiang, Ming Li, Wenying Wen and Kwok‐Wo Wong and has published in prestigious journals such as Optics Letters, The Journal of the Acoustical Society of America and Geophysics.

In The Last Decade

Co-authorship network of co-authors of Di Xiao i

Fields of papers citing papers by Di Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Di Xiao

Since Specialization
Citations

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).

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.

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