2026 Zhao Kang: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	40	9390	9120	1189	1183	131	5834

Zhao Kang publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Zhao Kang sits on this spectrum.

32 publications 991+

This scientist: 131 publications — 19th percentile

19% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Zhao Kang D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Zhao Kang sits on this spectrum.

30 D-Index 131+

This scientist: 40 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Zhao Kang is affiliated with the University of Electronic Science and Technology of China in China. Their primary field of study is Computer Science, with a focus on Artificial Intelligence, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Computational Mechanics, and Media Technology.

Their research encompasses several key topics, including:

Face and Expression Recognition
Advanced Graph Neural Networks
Complex Network Analysis Techniques
Advanced Clustering Algorithms Research
Sparse and Compressive Sensing Techniques
Domain Adaptation and Few-Shot Learning
Remote-Sensing Image Classification

Zhao Kang has contributed extensively to scholarly publications, with notable recent papers such as:

Large-Scale Multi-View Subspace Clustering in Linear Time, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
Structured Graph Learning for Scalable Subspace Clustering: From Single View to Multiview, 2021, IEEE Transactions on Cybernetics
Structured graph learning for clustering and semi-supervised classification, 2020, Pattern Recognition

Their work has appeared frequently in venues including:

arXiv (Cornell University)
Knowledge-Based Systems
Proceedings of the AAAI Conference on Artificial Intelligence
Information Sciences
Pattern Recognition

Zhao Kang collaborates often with several coauthors, with whom multiple joint publications have been produced. Frequent collaborators include:

Chong Peng
Ling Tian
Zenglin Xu
Qiang Cheng
Chenglizhao Chen

The scope of Zhao Kang's research integrates advanced methodologies in clustering algorithms and graph learning, reflected in their published studies on subspace clustering and graph-based machine learning approaches. Publications in leading journals and extensive contributions to arXiv highlight an ongoing engagement with the evolution of artificial intelligence and data-driven techniques.

Best Publications

Large-Scale Multi-View Subspace Clustering in Linear Time

Zhao Kang;Wangtao Zhou;Zhitong Zhao;Junming Shao

463
Citations
Structured Graph Learning for Scalable Subspace Clustering: From Single View to Multiview.

Zhao Kang;Zhiping Lin;Xiaofeng Zhu;Wenbo Xu

335
Citations
Robust Graph Learning From Noisy Data

Zhao Kang;Haiqi Pan;Steven C. H. Hoi;Zenglin Xu

281
Citations
Multi-graph fusion for multi-view spectral clustering

Zhao Kang;Guoxin Shi;Shudong Huang;Wenyu Chen

278
Citations
Partition level multiview subspace clustering.

Zhao Kang;Xinjia Zhao;Chong Peng;Hongyuan Zhu

253
Citations
Pseudo-Supervised Deep Subspace Clustering

Juncheng Lv;Zhao Kang;Xiao Lu;Zenglin Xu

241
Citations
Auto-weighted multi-view clustering via kernelized graph learning

Shudong Huang;Zhao Kang;Ivor W. Tsang;Zenglin Xu

217
Citations
Auto-weighted multi-view clustering via deep matrix decomposition

Shudong Huang;Zhao Kang;Zenglin Xu

202
Citations
Multi-view Attributed Graph Clustering

Zhiping Lin;Zhao Kang;Lizong Zhang;Ling Tian

189
Citations
Low-rank Kernel Learning for Graph-based Clustering

Zhao Kang;Liangjian Wen;Wenyu Chen;Zenglin Xu

177
Citations
Structured graph learning for clustering and semi-supervised classification

Zhao Kang;Chong Peng;Qiang Cheng;Xinwang Liu

152
Citations
Robust deep k-means: An effective and simple method for data clustering

Shudong Huang;Zhao Kang;Zenglin Xu;Zenglin Xu;Quanhui Liu

134
Citations
Kernel-driven Similarity Learning

Zhao Kang;Zhao Kang;Chong Peng;Qiang Cheng

126
Citations
Top-N recommender system via matrix completion

Zhao Kang;Chong Peng;Qiang Cheng

114
Citations
Robust PCA Via Nonconvex Rank Approximation

Zhao Kang;Chong Peng;Qiang Cheng

109
Citations
Multi-view subspace clustering via partition fusion

Juncheng Lv;Zhao Kang;Boyu Wang;Luping Ji

105
Citations
Unified Spectral Clustering With Optimal Graph

Zhao Kang;Chong Peng;Qiang Cheng;Zenglin Xu

104
Citations
Twin Learning for Similarity and Clustering: A Unified Kernel Approach.

Zhao Kang;Chong Peng;Qiang Cheng

97
Citations
Auto-weighted multi-view co-clustering with bipartite graphs

Shudong Huang;Zenglin Xu;Ivor W. Tsang;Zhao Kang

90
Citations
Graph Filter-based Multi-view Attributed Graph Clustering

Zhiping Lin;Zhao Kang

87
Citations
Self-weighted Multiple Kernel Learning for Graph-based Clustering and Semi-supervised Classification

Zhao Kang;Xiao Lu;Jinfeng Yi;Zenglin Xu

84
Citations
Top-N Recommender System via Matrix Completion

Zhao Kang;Chong Peng;Qiang Cheng

84
Citations
Robust Graph Regularized Nonnegative Matrix Factorization for Clustering

Chong Peng;Zhao Kang;Yunhong Hu;Jie Cheng

32
Citations

Frequent Co-Authors

Zenglin Xu Harbin Institute of Technology

Xi Peng Sichuan University

Joey Tianyi Zhou Agency for Science, Technology and Research

Joel N. Ullom National Institute of Standards and Technology

Kent D. Irwin Stanford University

Ivor W. Tsang Agency for Science, Technology and Research

Jianke Zhu Zhejiang University

Jinfeng Yi IBM (United States)

Xinwang Liu National University of Defense Technology

Gene C. Hilton National Institute of Standards and Technology

External Links

Personal website of Zhao Kang

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