Kai Cui

1.5k citations
40 papers · 1.2k · h-index 14

Impact in

Papers in

Kai Cui

33 papers receiving 1.2k citations

Peers

Kai Cui
Comparison fields: 5 of 118
  • Sensory Systems 249
  • Developmental Neuroscience 108
  • Cellular and Molecular Neuroscience 485
  • Endocrine and Autonomic Systems 56
  • Biochemistry 58
Replace Damon Poburko with:
Damon Poburko Canada
Scott P. Fraser United Kingdom
Bernard Ribalet United States
Ted Weita Lai Taiwan
Omar Porras Chile
Markus Waldeck‐Weiermair Austria
Nannan Lu China
Carli Lattarulo United States
Kenji Uéda Japan
Kai Cui relative to Damon Poburko Canada Damon Poburko's profile →
Citations per field
00.5×5.7×
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 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005380
2 2002198
3 2005105
4 200894
5 200871
6 201070
7 201063
8 201832
9 201231
10 200528
11 201426
12 202019
13 201617
14 202415
15 20227
16 20067
17
Decoder Side Image Quality Enhancement exploiting Inter-channel Correlation in a 3-stage CNN: Submission to CLIC 2018
20186
18 20216
19 20145
20 20095

About Kai Cui

Kai Cui is a scholar working on Computer Vision and Pattern Recognition, Cellular and Molecular Neuroscience, Organic Chemistry, Computer Networks and Communications and Media Technology, having authored 40 papers that have together received 1.2k 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), Molecular Sensors and Ion Detection (3 papers), Metal-Organic Frameworks: Synthesis and Applications (3 papers), Face and Expression Recognition (3 papers), Image Enhancement Techniques (3 papers) and Axon Guidance and Neuronal Signaling (3 papers). The work is most often cited by research in Sensory Systems (249 citations), Developmental Neuroscience (108 citations), Cellular and Molecular Neuroscience (485 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, Yan Li, Ning Li, Yichang Jia, Yizheng Wang, Chien-ping Wu, Mu‐ming Poo, Deqing Zhang, Guanxin Zhang and Eckehard Steinbach. Their work appears in journals such as Tetrahedron Letters, Neurocomputing, IEEE Transactions on Haptics, Catalysis Science & Technology and Cement and Concrete Composites.

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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