Kai Cui

1.4k citations
34 papers · 1.2k · h-index 14

Impact in

Papers in

Kai Cui

31 papers receiving 1.1k citations

Peers

Kai Cui
Comparison fields: 5 of 117
  • Sensory Systems 245
  • Cellular and Molecular Neuroscience 477
  • Developmental Neuroscience 106
  • Endocrine and Autonomic Systems 57
  • Biochemistry 58
Replace Damon Poburko with:
Damon Poburko Canada
Bernard Ribalet United States
Scott P. Fraser United Kingdom
Markus Waldeck‐Weiermair Austria
Jörg Hüser Germany
Ted Weita Lai Taiwan
Nannan Lu China
Omar Porras Chile
Botir T. Sagdullaev United States
Francesc X. Guix Spain
Kai Cui relative to Damon Poburko Canada Damon Poburko's profile →
Citations per field
00.5×5.6×
Damon Poburko · 1×
Citations per year

Countries citing papers authored by Kai Cui

Since Specialization
Citations

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

Fields of papers citing papers by Kai Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kai Cui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kai Cui Line = papers co-authored together Kai Cui links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005363
2 2002189
3 2005101
4 200886
5 200870
6 201070
7 201063
8 201829
9 200527
10 201426
11 201226
12 202017
13 201616
14 202413
15
Decoder Side Image Quality Enhancement exploiting Inter-channel Correlation in a 3-stage CNN: Submission to CLIC 2018
20186
16 20226
17 20125
18 20095
19 20145
20 20215

About Kai Cui

Kai Cui is a scholar working on Computer Vision and Pattern Recognition, Organic Chemistry, Cellular and Molecular Neuroscience, Biomedical Engineering and Media Technology, having authored 34 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (5 papers), Image and Signal Denoising Methods (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Face and Expression Recognition (3 papers), Metal-Organic Frameworks: Synthesis and Applications (3 papers), Image Enhancement Techniques (3 papers), Molecular Sensors and Ion Detection (3 papers) and Image Processing Techniques and Applications (2 papers). The work is most often cited by research in Sensory Systems (245 citations), Cellular and Molecular Neuroscience (477 citations), Developmental Neuroscience (106 citations), Endocrine and Autonomic Systems (57 citations) and Biochemistry (58 citations). Kai Cui has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Xiao‐bing Yuan, Yizheng Wang, Yichang Jia, Ning Li, Yan Li, Chien-ping Wu, Mu‐ming Poo, Guanxin Zhang, Deqing Zhang and Eckehard Steinbach. Their work appears in journals such as Tetrahedron Letters, IEEE Transactions on Haptics, IEEE Journal of Selected Topics in Signal Processing, Neurocomputing and Journal of Neuroscience.

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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