Cunrui Wang

439 total citations
29 papers, 243 citations indexed

About

Cunrui Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Cunrui Wang has authored 29 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 6 papers in Control and Systems Engineering. Recurrent topics in Cunrui Wang's work include Face and Expression Recognition (10 papers), Face recognition and analysis (7 papers) and Generative Adversarial Networks and Image Synthesis (5 papers). Cunrui Wang is often cited by papers focused on Face and Expression Recognition (10 papers), Face recognition and analysis (7 papers) and Generative Adversarial Networks and Image Synthesis (5 papers). Cunrui Wang collaborates with scholars based in China, Malaysia and Australia. Cunrui Wang's co-authors include Qing Yang, Daoyuan Zhang, Yitai Qian, Kaibin Tang, Zedong Li, Xiangdong Liu, Xiaodong Liu, Xiaodong Duan, Xiaodong Duan and Zhijie Li and has published in prestigious journals such as Annals of Internal Medicine, Expert Systems with Applications and IEEE Transactions on Fuzzy Systems.

In The Last Decade

Cunrui Wang

24 papers receiving 219 citations

Peers

Cunrui Wang
Comparison fields: 5 of 79
  • Computer Vision and Pattern Recognition 75
  • Artificial Intelligence 53
  • Electrical and Electronic Engineering 50
  • Materials Chemistry 43
  • Statistical and Nonlinear Physics 24
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Yihang Yin China
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Citations per field, relative to Cunrui Wang
Cunrui Wang · 1×
Citations per year, relative to Cunrui Wang
Cunrui Wang · 1×

Countries citing papers authored by Cunrui Wang

Since Specialization
Citations

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

Fields of papers citing papers by Cunrui Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cunrui Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Cunrui Wang. A scholar is included among the top collaborators of Cunrui 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 Cunrui Wang. Cunrui 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 1
2 0
3 2
4 0
5 9
6 0
7 14
8 23
9 1
10 15
11 6
12 2
13 0
14
Comparison and implementation of image edge detection algorithm
4
15
A Physical Community Discovery Algorithm
1
16
Minorities Features Extraction and Recognition of Human Faces
2
17 15
18 3
19 53
20 35

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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