Kai Cui

1.4k total citations
34 papers, 1.2k citations indexed

About

Kai Cui is a scholar working on Computer Vision and Pattern Recognition, Organic Chemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, Kai Cui has authored 34 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 5 papers in Organic Chemistry and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Kai Cui's work include Advanced Image Processing Techniques (5 papers), Image and Signal Denoising Methods (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Kai Cui is often cited by papers focused on Advanced Image Processing Techniques (5 papers), Image and Signal Denoising Methods (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Kai Cui collaborates with scholars based in China, Germany and United States. Kai Cui's co-authors include Xiao‐bing Yuan, Yizheng Wang, Ning Li, Yan Li, Yichang Jia, Chien-ping Wu, Mu‐ming Poo, Deqing Zhang, Guanxin Zhang and Zhe Zhang and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Neuron.

In The Last Decade

Kai Cui

31 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kai Cui China 14 477 379 245 114 106 34 1.2k
Nannan Lu China 25 163 0.3× 481 1.3× 28 0.1× 43 0.4× 52 0.5× 60 1.5k
Fuxue Chen China 21 139 0.3× 564 1.5× 82 0.3× 33 0.3× 53 0.5× 80 1.1k
Kyung Yong Kim South Korea 17 122 0.3× 699 1.8× 55 0.2× 123 1.1× 23 0.2× 58 1.3k
Zhuohao He China 13 411 0.9× 748 2.0× 291 1.2× 95 0.8× 39 0.4× 21 1.8k
Kenji Uéda Japan 33 1.1k 2.3× 654 1.7× 53 0.2× 227 2.0× 33 0.3× 65 3.0k
Thomas Rooney France 19 308 0.6× 577 1.5× 28 0.1× 88 0.8× 48 0.5× 28 1.1k
Xiaobing Li China 18 171 0.4× 303 0.8× 55 0.2× 30 0.3× 7 0.1× 87 1.1k
Rosa M. Soler Spain 22 610 1.3× 913 2.4× 31 0.1× 121 1.1× 275 2.6× 43 1.9k
Yukiko Hori Japan 20 242 0.5× 1.0k 2.7× 17 0.1× 213 1.9× 38 0.4× 41 2.0k

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-authorship network of co-authors of Kai Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Cui. A scholar is included among the top collaborators of Kai Cui 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 Kai Cui. Kai Cui 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
1.
Lu, Dong, Fulin Qu, Yilin Su, & Kai Cui. (2024). Nano-engineered the interfacial transition zone between recycled fine aggregates and paste with graphene oxide for sustainable cement composites. Cement and Concrete Composites. 154. 105762–105762. 13 indexed citations
2.
Cui, Kai, et al.. (2024). One-pot synthesis of 1,4-butanediol via the deep hydrogenation of maleic anhydride over Cu–xMo/SiO2 catalysts. Catalysis Science & Technology. 14(24). 7081–7092. 2 indexed citations
3.
Yu, Haili, et al.. (2024). Design and Study of a Two-Dimensional (2D) All-Optical Spatial Mapping Module. Sensors. 24(7). 2219–2219. 1 indexed citations
4.
Zhang, Jiawei, et al.. (2023). Crystal structure and fluorescence-based sensor properties of a Metal-Organic Framework. Zeitschrift für Naturforschung B. 79(2-3). 81–87. 1 indexed citations
5.
Cui, Kai, et al.. (2021). Convolutional neural network-based post-filtering for compressed YUV420 images and video. mediaTUM (Technical University of Munich). 1–5. 4 indexed citations
6.
Cui, Kai, Atanas Boev, Elena Alshina, & Eckehard Steinbach. (2020). Color Image Restoration Exploiting Inter-Channel Correlation With a 3-Stage CNN. IEEE Journal of Selected Topics in Signal Processing. 15(2). 174–189. 17 indexed citations
7.
Cui, Kai & Eckehard Steinbach. (2019). Decoder Side Color Image Quality Enhancement using a Wavelet Transform based 3-stage Convolutional Neural Network. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 0–0. 3 indexed citations
8.
Cui, Kai & Eckehard Steinbach. (2018). Decoder Side Image Quality Enhancement exploiting Inter-channel Correlation in a 3-stage CNN: Submission to CLIC 2018. mediaTUM (Technical University of Munich). 2571–2574. 6 indexed citations
9.
Cui, Kai, et al.. (2016). Aerobic α-hydroxylation of β-keto esters and amides by co-catalysis of SmI3 and I2 under mild base-free conditions. Tetrahedron Letters. 57(25). 2818–2821. 16 indexed citations
10.
Feng, Yang, et al.. (2015). [Key frames extraction and application in intravascular ultrasound pullback sequences based on manifold learning].. PubMed. 35(4). 492–8. 1 indexed citations
11.
Gao, Quanxue, Jingjing Liu, Kai Cui, Hailin Zhang, & Xiaogang Wang. (2014). Stable locality sensitive discriminant analysis for image recognition. Neural Networks. 54. 49–56. 26 indexed citations
12.
Cui, Kai, et al.. (2014). A New 2D Zinc(II)-Organic Framework with Dinuclear Units Based on Iodinated Terephthalate: Synthesis, Crystal Structure and Luminescence Behavior. Zeitschrift für Naturforschung B. 69(8). 859–863. 5 indexed citations
13.
Chai, Lan‐Qin, Hongsong Zhang, Yuli Zhang, & Kai Cui. (2012). Synthesis of Asymmetric Semicarbazides using a Coumarin Ring. Journal of Chemical Research. 36(1). 12–14. 5 indexed citations
14.
Cui, Kai, Zhenling Chen, Zhuo Wang, Guanxin Zhang, & Deqing Zhang. (2010). A naked-eye visible and fluorescence “turn-on” probe for acetyl-cholinesterase assay and thiols as well as imaging of living cells. The Analyst. 136(1). 191–195. 63 indexed citations
15.
Yao, Zhu‐Jun, et al.. (2010). Synthesis of Tetrahydroisoquinolines via Cascade Reductive Amination of Isochromenylium Tetrafluoroborate with Primary Amines. Synthesis. 2010(20). 3474–3480. 3 indexed citations
16.
Samson, Willis K., Orna Avsian-Kretchmer, Kai Cui, et al.. (2008). Neuronostatin Encoded by the Somatostatin Gene Regulates Neuronal, Cardiovascular, and Metabolic Functions. Journal of Biological Chemistry. 283(46). 31949–31959. 86 indexed citations
17.
Cui, Kai, Cynthia Duggan, Shouhong Xuan, et al.. (2008). Role of IGF Signaling in Olfactory Sensory Map Formation and Axon Guidance. Neuron. 57(6). 847–857. 70 indexed citations
18.
Jin, Ming, Gang Chen, Chuntao Zhao, et al.. (2005). Ca2+-Dependent Regulation of Rho GTPases Triggers Turning of Nerve Growth Cones. Journal of Neuroscience. 25(9). 2338–2347. 101 indexed citations
19.
Li, Yan, Yichang Jia, Kai Cui, et al.. (2005). Essential role of TRPC channels in the guidance of nerve growth cones by brain-derived neurotrophic factor. Nature. 434(7035). 894–898. 363 indexed citations
20.
Xiang, Yang, Li Yan, Zhe Zhang, et al.. (2002). Nerve growth cone guidance mediated by G protein–coupled receptors. Nature Neuroscience. 5(9). 843–848. 189 indexed citations

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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