Shihua Zhou

916 total citations
59 papers, 674 citations indexed

About

Shihua Zhou is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Shihua Zhou has authored 59 papers receiving a total of 674 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 27 papers in Molecular Biology and 14 papers in Computational Theory and Mathematics. Recurrent topics in Shihua Zhou's work include DNA and Biological Computing (20 papers), Chaos-based Image/Signal Encryption (18 papers) and Advanced biosensing and bioanalysis techniques (12 papers). Shihua Zhou is often cited by papers focused on DNA and Biological Computing (20 papers), Chaos-based Image/Signal Encryption (18 papers) and Advanced biosensing and bioanalysis techniques (12 papers). Shihua Zhou collaborates with scholars based in China, New Zealand and United Kingdom. Shihua Zhou's co-authors include Qiang Zhang, Nikola Kasabov, Changjun Zhou, Bin Wang, Xuedong Zheng, Xiaopeng Wei, Jiawei Li, Jinyuan Liu, Peng Chen and Ziqi Wei and has published in prestigious journals such as ACS Nano, Expert Systems with Applications and IEEE Access.

In The Last Decade

Shihua Zhou

50 papers receiving 646 citations

Peers

Shihua Zhou
Comparison fields: 5 of 66
  • Computer Vision and Pattern Recognition 388
  • Molecular Biology 218
  • Artificial Intelligence 152
  • Computational Theory and Mathematics 119
  • Media Technology 105
Replace Jun Lang with:
Jun Lang China
Alain Tiedeu Cameroon
Manish Kumar India
Zhihong Zhou China
Yining Su China
Mohamed F. Abu‐Elyazeed Egypt
M. Samet Tunisia
Rajib Kumar Jha India
Yurong Wang China
Jun Lang China View profile →
Citations per field, relative to Shihua Zhou
Shihua Zhou · 1×
Citations per year, relative to Shihua Zhou
Shihua Zhou · 1×

Countries citing papers authored by Shihua Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Shihua Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shihua Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Shihua Zhou. A scholar is included among the top collaborators of Shihua Zhou 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 Shihua Zhou. Shihua Zhou 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 3
2 0
3 0
4 0
5 5
6 0
7 0
8 0
9 0
10 7
11 6
12 0
13 10
14 2
15 10
16 0
17 9
18 19
19 13
20 34

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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