Qianxue Wang

537 total citations
29 papers, 290 citations indexed

About

Qianxue Wang is a scholar working on Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Qianxue Wang has authored 29 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 11 papers in Computational Theory and Mathematics and 9 papers in Artificial Intelligence. Recurrent topics in Qianxue Wang's work include Chaos-based Image/Signal Encryption (23 papers), Cellular Automata and Applications (11 papers) and Advanced Steganography and Watermarking Techniques (9 papers). Qianxue Wang is often cited by papers focused on Chaos-based Image/Signal Encryption (23 papers), Cellular Automata and Applications (11 papers) and Advanced Steganography and Watermarking Techniques (9 papers). Qianxue Wang collaborates with scholars based in China, France and Japan. Qianxue Wang's co-authors include Simin Yu, Christophe Guyeux, Jacques M. Bahi, Shuting Cai, Zhuosheng Lin, Linqing Huang, Safwan El Assad, Chengqing Li, Jinbiao Chen and Donghua Jiang and has published in prestigious journals such as Expert Systems with Applications, Journal of Pineal Research and Chaos Solitons & Fractals.

In The Last Decade

Qianxue Wang

27 papers receiving 279 citations

Peers

Qianxue Wang
Comparison fields: 5 of 62
  • Computer Vision and Pattern Recognition 201
  • Statistical and Nonlinear Physics 92
  • Computational Theory and Mathematics 66
  • Artificial Intelligence 62
  • Molecular Biology 33
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Miguel Garcia-Bosque Spain
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K. C. Jithin Egypt
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Citations per field, relative to Qianxue Wang
Qianxue Wang · 1×
Citations per year, relative to Qianxue Wang
Qianxue Wang · 1×

Countries citing papers authored by Qianxue Wang

Since Specialization
Citations

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

Fields of papers citing papers by Qianxue Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qianxue Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Qianxue Wang. A scholar is included among the top collaborators of Qianxue 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 Qianxue Wang. Qianxue Wang 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 0
2 0
3 5
4 4
5 5
6 1
7 5
8 7
9 36
10 13
11 16
12 1
13 20
14 2
15 27
16 16
17 20
18 14
19
Introducing the truly chaotic finite state machines and theirs applications in security field
1
20
Comparative Study of 1-D Chaotic Generators for Digital Data Encryption
18

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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