Cuicui Kang

739 total citations
25 papers, 488 citations indexed

About

Cuicui Kang is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Cuicui Kang has authored 25 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 11 papers in Computer Networks and Communications and 11 papers in Artificial Intelligence. Recurrent topics in Cuicui Kang's work include Internet Traffic Analysis and Secure E-voting (11 papers), Network Security and Intrusion Detection (10 papers) and Advanced Image and Video Retrieval Techniques (8 papers). Cuicui Kang is often cited by papers focused on Internet Traffic Analysis and Secure E-voting (11 papers), Network Security and Intrusion Detection (10 papers) and Advanced Image and Video Retrieval Techniques (8 papers). Cuicui Kang collaborates with scholars based in China, United Arab Emirates and United States. Cuicui Kang's co-authors include Chunhong Pan, Shiming Xiang, Shengcai Liao, Changsheng Xu, Yonghao He, Jian Wang, Gang Xiong, Jian Wang, Gaopeng Gou and Zigang Cao and has published in prestigious journals such as Neurocomputing, IEEE Transactions on Multimedia and IEEE Transactions on Biometrics Behavior and Identity Science.

In The Last Decade

Cuicui Kang

23 papers receiving 481 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cuicui Kang China 11 351 229 91 77 38 25 488
Geonmo Gu South Korea 7 205 0.6× 160 0.7× 32 0.4× 39 0.5× 23 0.6× 10 259
Mudar Sarem China 8 151 0.4× 99 0.4× 149 1.6× 71 0.9× 18 0.5× 55 333
Takayuki Nakachi Japan 9 153 0.4× 84 0.4× 93 1.0× 99 1.3× 15 0.4× 88 301
Songjie Wei China 10 134 0.4× 127 0.6× 204 2.2× 67 0.9× 56 1.5× 37 378
William Diehl United States 10 146 0.4× 241 1.1× 51 0.6× 44 0.6× 29 0.8× 26 309
K.J. Ray Liu United States 14 209 0.6× 63 0.3× 283 3.1× 110 1.4× 35 0.9× 29 553
Luca Henzen Switzerland 7 120 0.3× 210 0.9× 56 0.6× 52 0.7× 49 1.3× 12 272
Kassem Kallas France 7 86 0.2× 190 0.8× 77 0.8× 70 0.9× 14 0.4× 19 264
Lizhi Xiong China 10 299 0.9× 86 0.4× 20 0.2× 34 0.4× 47 1.2× 25 373
Jie Wen China 9 293 0.8× 245 1.1× 9 0.1× 32 0.4× 20 0.5× 17 410

Countries citing papers authored by Cuicui Kang

Since Specialization
Citations

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

Fields of papers citing papers by Cuicui Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cuicui Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Cuicui Kang. A scholar is included among the top collaborators of Cuicui Kang 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 Cuicui Kang. Cuicui Kang 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.
Kang, Cuicui. (2024). Are Synthetic Datasets Reliable for Benchmarking Generalizable Person Re-Identification?. IEEE Transactions on Biometrics Behavior and Identity Science. 7(1). 146–155. 1 indexed citations
2.
Kang, Cuicui, et al.. (2020). Determination of acrylamide in foods by automatic accelerated solvent extraction and gas chromatography-mass spectrometry. Acta Chromatographica. 33(1). 64–72. 8 indexed citations
3.
Gou, Gaopeng, et al.. (2019). A Multi-View Deep Learning Model for Encrypted Website Service Classification. 3361. 1–6. 2 indexed citations
4.
Wang, Hai, et al.. (2019). Ethereum Behavior Analysis with NetFlow Data. 1–6. 10 indexed citations
5.
Gou, Gaopeng, et al.. (2019). Identify OS from encrypted traffic with TCP/IP stack fingerprinting. 1–7. 2 indexed citations
6.
Zhang, Ziqing, Cuicui Kang, Gang Xiong, & Zhen Li. (2019). Deep Forest with LRRS Feature for Fine-grained Website Fingerprinting with Encrypted SSL/TLS. 851–860. 17 indexed citations
7.
Wang, Jibao, Zigang Cao, Cuicui Kang, & Gang Xiong. (2019). User Behavior Classification in Encrypted Cloud Camera Traffic. 1–6. 9 indexed citations
8.
Shi, Junzheng, et al.. (2018). Classifying User Activities in the Encrypted WeChat Traffic. 1–8. 11 indexed citations
9.
Kang, Cuicui, et al.. (2018). TLS/SSL Encrypted Traffic Classification with Autoencoder and Convolutional Neural Network. 362–369. 34 indexed citations
10.
Zhen, Li, et al.. (2018). SSL/TLS Security Exploration Through X.509 Certificate’s Life Cycle Measurement. 652–655. 4 indexed citations
11.
Zhang, Ziqing, et al.. (2017). Metric learning with statistical features for network traffic classification. 1–7. 3 indexed citations
12.
He, Yonghao, Shiming Xiang, Cuicui Kang, Jian Wang, & Chunhong Pan. (2016). Cross-Modal Retrieval via Deep and Bidirectional Representation Learning. IEEE Transactions on Multimedia. 18(7). 1363–1377. 100 indexed citations
13.
He, Yonghao, Cuicui Kang, Jian Wang, Shiming Xiang, & Chunhong Pan. (2015). Image tag-ranking via pairwise supervision based semi-supervised model. Neurocomputing. 167. 614–624. 3 indexed citations
14.
He, Yonghao, Jian Wang, Cuicui Kang, Shiming Xiang, & Chunhong Pan. (2015). Large Scale Image Annotation via Deep Representation Learning and Tag Embedding Learning. 523–526. 3 indexed citations
15.
Kang, Cuicui, Shiming Xiang, Shengcai Liao, Changsheng Xu, & Chunhong Pan. (2015). Learning Consistent Feature Representation for Cross-Modal Multimedia Retrieval. IEEE Transactions on Multimedia. 17(3). 370–381. 171 indexed citations
16.
Wang, Jian, Yonghao He, Cuicui Kang, Shiming Xiang, & Chunhong Pan. (2015). Image-Text Cross-Modal Retrieval via Modality-Specific Feature Learning. 347–354. 29 indexed citations
17.
Kang, Cuicui, Shengcai Liao, Yonghao He, et al.. (2015). Cross-Modal Similarity Learning. 1251–1260. 22 indexed citations
18.
Wang, Jian, Cuicui Kang, Yonghao He, Shiming Xiang, & Chunhong Pan. (2014). Cross Modal Deep Model and Gaussian Process Based Model for MSR-Bing Challenge. 225–228. 2 indexed citations
19.
Kang, Cuicui, Shengcai Liao, Shiming Xiang, & Chunhong Pan. (2014). Kernel sparse representation with pixel-level and region-level local feature kernels for face recognition. Neurocomputing. 133. 141–152. 12 indexed citations
20.
Kang, Cuicui, Shengcai Liao, Shiming Xiang, & Chunhong Pan. (2011). Kernel sparse representation with local patterns for face recognition. 3009–3012. 21 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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