Chu Zhou

471 citations
29 papers · 287 indexed · h-index 10
Topics
Advanced Image Processing Techniques (7 papers)Advanced Vision and Imaging (5 papers)Image Enhancement Techniques (5 papers)
Partner nations
ChinaJapanUnited States

In The Last Decade

Chu Zhou

24 papers receiving 275 citations

Peers

Chu Zhou
Comparison fields: 5 of 67
  • Computer Vision and Pattern Recognition 146
  • Cognitive Neuroscience 67
  • Electrical and Electronic Engineering 61
  • Media Technology 49
  • Social Psychology 26
Replace Carlos Aliaga with:
Carlos Aliaga Spain
Jonathan Maycock Germany
Kees Teunissen Netherlands
Okan Tarhan Tursun Germany
Antoine Toisoul United Kingdom
Javier Vázquez-Corral Spain
Yuji Nojiri Japan
Vitor F. Pamplona Brazil
Klaus Hopf Germany
Chu Zhou relative to Carlos Aliaga Spain Carlos Aliaga's profile →
Citations per field
00.5×10×20×30.5×
Carlos Aliaga · 1×
Citations per year

Countries citing papers authored by Chu Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Chu Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chu Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Chu Zhou. A scholar is included among the top collaborators of Chu 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 Chu Zhou. Chu 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
#WorkIndexed citations
1 0
2 0
3 1
4 1
5 1
6 0
7 15
8 8
9
Learning to dehaze with polarization
18
10 9
11 10
12
UnModNet: Learning to Unwrap a Modulo Image for High Dynamic Range Imaging
8
13 64
14 8
15 2
16 5
17 1
18 5
19 12
20 0

About Chu Zhou

Chu Zhou is a scholar working on Acoustics and Ultrasonics, General Decision Sciences and Computer Vision and Pattern Recognition, having authored 29 papers that have together received 287 indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (7 papers), Advanced Vision and Imaging (5 papers) and Image Enhancement Techniques (5 papers). The work is most often cited by research in Acoustics and Ultrasonics (16 citations), Computer Vision and Pattern Recognition (146 citations) and Media Technology (49 citations). Chu Zhou has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Boxin Shi, Chao Xu, Jin Han, Tiejun Huang, Peiqi Duan, Henry Otgaar, Jianqin Wang, Chang Xu, Yehui Tang and Mark L. Howe. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

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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