Chunlei Wu

884 total citations
60 papers, 600 citations indexed

About

Chunlei Wu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Chunlei Wu has authored 60 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 23 papers in Artificial Intelligence and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Chunlei Wu's work include Multimodal Machine Learning Applications (20 papers), Advanced Image and Video Retrieval Techniques (14 papers) and Domain Adaptation and Few-Shot Learning (10 papers). Chunlei Wu is often cited by papers focused on Multimodal Machine Learning Applications (20 papers), Advanced Image and Video Retrieval Techniques (14 papers) and Domain Adaptation and Few-Shot Learning (10 papers). Chunlei Wu collaborates with scholars based in China, Canada and Australia. Chunlei Wu's co-authors include Leiquan Wang, Xiao Yang, Dan Yu, Dingliang Chen, C WANG, Xuerong Cui, Jing Lü, Jie Wu, Mingwen Shao and Zhongwei Li and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and International Journal of Hydrogen Energy.

In The Last Decade

Chunlei Wu

52 papers receiving 571 citations

Peers

Chunlei Wu
Comparison fields: 5 of 80
  • Computational Theory and Mathematics 221
  • Computer Vision and Pattern Recognition 203
  • Artificial Intelligence 193
  • Information Systems 161
  • Management Science and Operations Research 80
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Shuxia Lu China
Yuanjian Zhang China
P. Vannoorenberghe France
Hong Shi China
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Citations per field, relative to Chunlei Wu
Chunlei Wu · 1×
Citations per year, relative to Chunlei Wu
Chunlei Wu · 1×

Countries citing papers authored by Chunlei Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chunlei Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chunlei Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Chunlei Wu. A scholar is included among the top collaborators of Chunlei Wu 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 Chunlei Wu. Chunlei Wu 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 1
3 0
4 0
5 5
6 0
7 0
8 1
9 1
10 14
11 6
12 5
13 1
14 4
15 1
16 6
17 5
18 3
19 2
20 26

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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2026