Nan Zhou

980 total citations
47 papers, 801 citations indexed

About

Nan Zhou is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Nan Zhou has authored 47 papers receiving a total of 801 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 9 papers in Computational Mechanics and 8 papers in Artificial Intelligence. Recurrent topics in Nan Zhou's work include Face and Expression Recognition (10 papers), Sparse and Compressive Sensing Techniques (7 papers) and Neural Networks Stability and Synchronization (7 papers). Nan Zhou is often cited by papers focused on Face and Expression Recognition (10 papers), Sparse and Compressive Sensing Techniques (7 papers) and Neural Networks Stability and Synchronization (7 papers). Nan Zhou collaborates with scholars based in China, Hong Kong and United States. Nan Zhou's co-authors include Wei Zou, Yangyang Xu, Hong Cheng, Witold Pedrycz, Shouming Zhong, Badong Chen, Jun Fang, Kup‐Sze Choi, Minyue Fu and Nanning Zheng and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Pattern Recognition and European Journal of Pharmacology.

In The Last Decade

Nan Zhou

45 papers receiving 783 citations

Peers

Nan Zhou
Comparison fields: 5 of 84
  • Computer Vision and Pattern Recognition 510
  • Artificial Intelligence 244
  • Computer Networks and Communications 103
  • Media Technology 86
  • Computational Mechanics 84
Replace Anna Choromanska with:
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Anna Choromanska United States View profile →
Citations per field, relative to Nan Zhou
Nan Zhou · 1×
Citations per year, relative to Nan Zhou
Nan Zhou · 1×

Countries citing papers authored by Nan Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Nan Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nan Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Nan Zhou. A scholar is included among the top collaborators of Nan 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 Nan Zhou. Nan 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 2
2 0
3 2
4 2
5 4
6 3
7 7
8 3
9 5
10 4
11 7
12 5
13 14
14 2
15 17
16 13
17
Local-Structure Adaptive Sparse Subspace Learning: An Iterative Approach to Unsupervised Feature Selection.
3
18 21
19 22
20
Numerical investigation on improvement of film cooling effectiveness with console hole
2

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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