Zhao Kang

6.1k total citations · 2 hit papers
96 papers, 4.2k citations indexed

About

Zhao Kang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Zhao Kang has authored 96 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Computer Vision and Pattern Recognition, 54 papers in Artificial Intelligence and 19 papers in Computational Mechanics. Recurrent topics in Zhao Kang's work include Face and Expression Recognition (44 papers), Advanced Graph Neural Networks (26 papers) and Sparse and Compressive Sensing Techniques (17 papers). Zhao Kang is often cited by papers focused on Face and Expression Recognition (44 papers), Advanced Graph Neural Networks (26 papers) and Sparse and Compressive Sensing Techniques (17 papers). Zhao Kang collaborates with scholars based in China, United States and Singapore. Zhao Kang's co-authors include Zenglin Xu, Shudong Huang, Chong Peng, Qiang Cheng, Zhiping Lin, Chong Peng, Wenyu Chen, Qiang Cheng, Xiaofeng Zhu and Ling Tian and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and Expert Systems with Applications.

In The Last Decade

Zhao Kang

92 papers receiving 4.2k citations

Hit Papers

Large-Scale Multi-View Subspace Clustering in Linear Time 2020 2026 2022 2024 2020 2021 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Large-Scale Multi-View Subspace Clustering in Linear Time
    2020 357 citations Zhao Kang, Wang-Tao Zhou et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →
  2. Structured Graph Learning for Scalable Subspace Clustering: From Single View to Multiview
    2021 263 citations Zhao Kang, Zhiping Lin et al. IEEE Transactions on Cybernetics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhao Kang China 36 2.8k 2.3k 760 476 475 96 4.2k
Xiao Cai China 22 1.8k 0.7× 1.2k 0.5× 418 0.6× 103 0.2× 186 0.4× 32 3.0k
Kun Zhan China 23 1.7k 0.6× 850 0.4× 751 1.0× 192 0.4× 239 0.5× 77 2.4k
Marius Kloft Germany 25 998 0.4× 1.7k 0.7× 180 0.2× 83 0.2× 70 0.1× 86 3.0k
Zhihui Lai China 28 1.8k 0.6× 782 0.3× 499 0.7× 30 0.1× 68 0.1× 103 2.4k
Xiaozhao Fang China 25 1.8k 0.6× 968 0.4× 615 0.8× 28 0.1× 117 0.2× 83 2.5k
Hongyuan Zhu Singapore 27 2.0k 0.7× 1.1k 0.5× 382 0.5× 62 0.1× 103 0.2× 77 2.8k
Dacheng Tao Australia 24 2.1k 0.8× 921 0.4× 308 0.4× 70 0.1× 37 0.1× 54 2.9k
Minnan Luo China 25 999 0.4× 1.5k 0.6× 136 0.2× 234 0.5× 45 0.1× 96 2.4k
Fanzhang Li China 23 1.1k 0.4× 906 0.4× 308 0.4× 43 0.1× 59 0.1× 139 2.3k
Dezhong Peng China 28 2.0k 0.7× 1.4k 0.6× 177 0.2× 60 0.1× 39 0.1× 168 3.5k

Countries citing papers authored by Zhao Kang

Since Specialization
Citations

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

Fields of papers citing papers by Zhao Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhao Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhao Kang. A scholar is included among the top collaborators of Zhao 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 Zhao Kang. Zhao 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.
Shen, Zhixiang & Zhao Kang. (2025). When Heterophily Meets Heterogeneous Graphs: Latent Graphs Guided Unsupervised Representation Learning. IEEE Transactions on Neural Networks and Learning Systems. 36(6). 10283–10296. 8 indexed citations
2.
Wu, Ling, et al.. (2025). Linear-time attributed graph clustering via collaborative learning of adaptive anchors. Neurocomputing. 665. 132191–132191.
3.
Ren, Xiang, et al.. (2025). Investigating the prevalence of the concomitant osteomyelitis in pediatric hip septic arthritis: a systematic review and Meta-analysis. Journal of Orthopaedic Surgery and Research. 20(1). 196–196. 2 indexed citations
4.
Kang, Zhao, et al.. (2024). Upper Bounding Barlow Twins: A Novel Filter for Multi-Relational Clustering. Proceedings of the AAAI Conference on Artificial Intelligence. 38(13). 14660–14668. 6 indexed citations
5.
6.
Shen, Zhixiang, et al.. (2024). Balanced Multi-Relational Graph Clustering. arXiv (Cornell University). 4120–4128. 2 indexed citations
7.
Jia, Haitao, et al.. (2024). Demonstration-Based and Attention-Enhanced Grid-Tagging Network for Mention Recognition. Electronics. 13(2). 261–261. 2 indexed citations
8.
Kang, Zhao, et al.. (2024). PC-Conv: Unifying Homophily and Heterophily with Two-Fold Filtering. Proceedings of the AAAI Conference on Artificial Intelligence. 38(12). 13437–13445. 16 indexed citations
9.
Kang, Zhao, et al.. (2023). Self-paced principal component analysis. Pattern Recognition. 142. 109692–109692. 7 indexed citations
10.
Shui, Changjian, et al.. (2023). Label shift conditioned hybrid querying for deep active learning. Knowledge-Based Systems. 274. 110616–110616. 1 indexed citations
11.
Zhou, Wang-Tao, Zhao Kang, Ling Tian, & Yi Su. (2023). Intensity-free convolutional temporal point process: Incorporating local and global event contexts. Information Sciences. 646. 119318–119318. 4 indexed citations
12.
Peng, Chong, et al.. (2023). Global and local similarity learning in multi-kernel space for nonnegative matrix factorization. Knowledge-Based Systems. 279. 110946–110946. 9 indexed citations
13.
Peng, Chong, Yiqun Zhang, Yongyong Chen, et al.. (2022). Log-based sparse nonnegative matrix factorization for data representation. Knowledge-Based Systems. 251. 109127–109127. 33 indexed citations
14.
Peng, Chong, Jing Zhang, Yongyong Chen, et al.. (2022). Preserving bilateral view structural information for subspace clustering. Knowledge-Based Systems. 258. 109915–109915. 6 indexed citations
15.
Kang, Zhao, Zhiping Lin, Xiaofeng Zhu, & Wenbo Xu. (2021). Structured Graph Learning for Scalable Subspace Clustering: From Single View to Multiview. IEEE Transactions on Cybernetics. 52(9). 8976–8986. 263 indexed citations breakdown →
16.
Peng, Chong, Yang Liu, Zhao Kang, et al.. (2021). Learning discriminative representation for image classification. Knowledge-Based Systems. 233. 107517–107517. 3 indexed citations
17.
Kang, Zhao, Chong Peng, Hongyuan Zhu, et al.. (2019). Partition level multiview subspace clustering. Neural Networks. 122. 279–288. 209 indexed citations
18.
Huang, Shudong, Zhao Kang, Ivor W. Tsang, & Zenglin Xu. (2018). Auto-weighted multi-view clustering via kernelized graph learning. Pattern Recognition. 88. 174–184. 182 indexed citations
19.
Peng, Chong, Zhao Kang, Yunhong Hu, Jie Cheng, & Qiang Cheng. (2017). Nonnegative Matrix Factorization with Integrated Graph and Feature Learning. ACM Transactions on Intelligent Systems and Technology. 8(3). 1–29. 32 indexed citations
20.
Peng, Chong, Zhao Kang, & Qiang Cheng. (2016). A Fast Factorization-Based Approach to Robust PCA. 1137–1142. 5 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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