Xiaoyuan Yang

1.7k total citations
106 papers, 1.1k citations indexed

About

Xiaoyuan Yang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Xiaoyuan Yang has authored 106 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Artificial Intelligence, 35 papers in Computer Vision and Pattern Recognition and 25 papers in Information Systems. Recurrent topics in Xiaoyuan Yang's work include Cryptography and Data Security (50 papers), Advanced Steganography and Watermarking Techniques (28 papers) and Complexity and Algorithms in Graphs (18 papers). Xiaoyuan Yang is often cited by papers focused on Cryptography and Data Security (50 papers), Advanced Steganography and Watermarking Techniques (28 papers) and Complexity and Algorithms in Graphs (18 papers). Xiaoyuan Yang collaborates with scholars based in China, Spain and United Kingdom. Xiaoyuan Yang's co-authors include Minqing Zhang, Jia Liu, Yiliang Han, Xu An Wang, Yan Ke, Georgos Siganos, Pablo Rodríguez, Nikolaos Laoutaris, Yaqi Wang and Josep M. Pujol and has published in prestigious journals such as Environmental Pollution, IEEE Access and Theoretical and Applied Genetics.

In The Last Decade

Xiaoyuan Yang

90 papers receiving 998 citations

Peers

Xiaoyuan Yang
Comparison fields: 5 of 58
  • Computer Vision and Pattern Recognition 456
  • Computer Networks and Communications 360
  • Artificial Intelligence 311
  • Information Systems 202
  • Statistical and Nonlinear Physics 190
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Citations per field, relative to Xiaoyuan Yang
Xiaoyuan Yang · 1×
Citations per year, relative to Xiaoyuan Yang
Xiaoyuan Yang · 1×

Countries citing papers authored by Xiaoyuan Yang

Since Specialization
Citations

This map shows the geographic impact of Xiaoyuan Yang'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 Xiaoyuan Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoyuan Yang more than expected).

Fields of papers citing papers by Xiaoyuan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaoyuan Yang. 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 Xiaoyuan Yang. The network helps show where Xiaoyuan Yang may publish in the future.

Co-authorship network of co-authors of Xiaoyuan Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyuan Yang. A scholar is included among the top collaborators of Xiaoyuan Yang 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 Xiaoyuan Yang. Xiaoyuan Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 5
3 2
4 0
5 1
6 1
7 13
8 7
9 1
10 5
11 0
12 13
13
An image steganography based on Multi-Layered Syndrome-Trellis Codes in DWT domain
4
14
An Intrusion Detection Algorithm for WSN Based on Kernel Fisher Discriminant
0
15 15
16 7
17 5
18 153
19 2
20
Improved key management scheme based on hyper-elliptic curves cryptosystem
1

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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