Yangzhou Du

1.1k citations
27 papers · 225 indexed · h-index 10
Topics
Face recognition and analysis (9 papers)Face and Expression Recognition (8 papers)Advanced Image and Video Retrieval Techniques (8 papers)
Partner nations
ChinaUnited StatesFrance

In The Last Decade

Yangzhou Du

26 papers receiving 216 citations

Peers

Yangzhou Du
Comparison fields: 5 of 60
  • Computer Vision and Pattern Recognition 169
  • Signal Processing 41
  • Artificial Intelligence 33
  • Human-Computer Interaction 19
  • Experimental and Cognitive Psychology 15
Replace Daniel Tretter with:
Daniel Tretter United States
Sina Samangooei United Kingdom
David Freire-Obregón Spain
Tangjie Lv China
Sei Naito Japan
Fabian Nater Switzerland
Lauren Bradel United States
Xavier Bouthillier Canada
Daniel González-Jiménez Spain
Martial Michel United States
Yangzhou Du relative to Daniel Tretter United States Daniel Tretter's profile →
Citations per field
00.5×
Daniel Tretter · 1×
Citations per year

Countries citing papers authored by Yangzhou Du

Since Specialization
Citations

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

Fields of papers citing papers by Yangzhou Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yangzhou Du

This figure shows the co-authorship network connecting the top 25 collaborators of Yangzhou Du. A scholar is included among the top collaborators of Yangzhou Du 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 Yangzhou Du. Yangzhou Du 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
#WorkIndexed citations
1 0
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5 1
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7 15
8 3
9 1
10 22
11 9
12 5
13 2
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15 1
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19 6
20 11

About Yangzhou Du

Yangzhou Du is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition and Signal Processing, having authored 27 papers that have together received 225 indexed citations. Recurring topics across this work include Face recognition and analysis (9 papers), Face and Expression Recognition (8 papers) and Advanced Image and Video Retrieval Techniques (8 papers). The work is most often cited by research in Computational Mathematics (7 citations), Computer Vision and Pattern Recognition (169 citations) and Signal Processing (41 citations). Yangzhou Du has collaborated with scholars based in China, United States and France. Frequent co-authors include Xueyin Lin, Yimin Zhang, Yang Li, Tao Wang, Yves Guiard, Jean‐Daniel Fekete, Olivier Chapuis, Michel Beaudouin-Lafon, Wendy E. Mackay and Caroline Appert. Their work appears in journals such as Sustainability, Pattern Recognition Letters and IEEE Signal Processing Letters.

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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