Kai Cui

1.5k citations
42 papers · 1.3k · h-index 14

Impact in

Papers in

Kai Cui

35 papers receiving 1.2k citations

Peers

Kai Cui
Comparison fields: 5 of 118
  • Sensory Systems 255
  • Developmental Neuroscience 107
  • Cellular and Molecular Neuroscience 489
  • Endocrine and Autonomic Systems 56
  • Biochemistry 58
Replace Damon Poburko with:
Damon Poburko Canada
Bernard Ribalet United States
Carli R. Lattarulo United States
Zhuohao He China
Enrico Zampese United States
Kenji Uéda Japan
Cristina Fasolato Italy
Jörg Hüser Germany
Francesc Xavier Guix Spain
Kai Cui relative to Damon Poburko Canada Damon Poburko's profile →
Citations per field
00.5×2×4×5.9×
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 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005390
2 2002198
3 2005108
4 200894
5 200870
6 201070
7 201064
8 201832
9 201231
10 200528
11 201426
12 202424
13 202021
14 201617
15 20228
16 20067
17 20216
18
Decoder Side Image Quality Enhancement exploiting Inter-channel Correlation in a 3-stage CNN: Submission to CLIC 2018
20186
19 20156
20 20095

About Kai Cui

Kai Cui is a scholar working on Computer Vision and Pattern Recognition, Cellular and Molecular Neuroscience, Media Technology, Inorganic Chemistry and Spectroscopy, having authored 42 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (5 papers), Advanced Image and Video Retrieval Techniques (4 papers), Image and Signal Denoising Methods (4 papers), Metal-Organic Frameworks: Synthesis and Applications (3 papers), Face and Expression Recognition (3 papers), Molecular Sensors and Ion Detection (3 papers), Axon Guidance and Neuronal Signaling (3 papers) and Image Enhancement Techniques (3 papers). The work is most often cited by research in Sensory Systems (255 citations), Developmental Neuroscience (107 citations), Cellular and Molecular Neuroscience (489 citations), Endocrine and Autonomic Systems (56 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, Yan Li, Ning Li, Yichang Jia, Chien-ping Wu, Mu‐ming Poo, Guanxin Zhang, Deqing Zhang and Eckehard G. Steinbach. Their work appears in journals such as Tetrahedron Letters, Neuron, Inorganica Chimica Acta, Synthesis 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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