2026 Quanxue Gao: 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	35	11790	11455	1463	1456	157	4509

Quanxue Gao 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 Quanxue Gao sits on this spectrum.

32 publications 991+

This scientist: 157 publications — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Quanxue Gao 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 Quanxue Gao sits on this spectrum.

30 D-Index 131+

This scientist: 35 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Overview

Quanxue Gao is a researcher affiliated with Xidian University in China, specializing primarily in computer science with a strong focus on computer vision and pattern recognition. Their scholarly output includes significant contributions to artificial intelligence, media technology, urban studies, and computational mechanics.

Their recent research has concentrated on multi-view clustering and subspace clustering techniques. Among the notable publications are:

Tensorized Bipartite Graph Learning for Multi-View Clustering, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence
Tensor-SVD Based Graph Learning for Multi-View Subspace Clustering, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
Deep Multi-View Subspace Clustering With Unified and Discriminative Learning, 2020, IEEE Transactions on Multimedia
Generative Partial Multi-View Clustering With Adaptive Fusion and Cycle Consistency, 2021, IEEE Transactions on Image Processing
Self-Supervised Graph Convolutional Network for Multi-View Clustering, 2021, IEEE Transactions on Multimedia

Quanxue Gao frequently collaborates with a number of coauthors, including:

Qianqian Wang
Xinbo Gao
Ming Yang
Wei Xia
Xiangdong Zhang

Publications often appear in specific venues known for their focus on computational intelligence and multimedia processing:

Neurocomputing
Neural Networks
arXiv (Cornell University)
Proceedings of the AAAI Conference on Artificial Intelligence
IEEE Transactions on Image Processing

Their work encompasses a range of topics that address various areas of computer vision and machine learning, including:

Face and Expression Recognition
Advanced Image and Video Retrieval Techniques
Video Surveillance and Tracking Methods
Advanced Computing and Algorithms
Remote-Sensing Image Classification
Advanced Clustering Algorithms Research
Text and Document Classification Technologies

Overall, Quanxue Gao's research profile demonstrates a multidisciplinary approach within computer science, with a considerable emphasis on developing algorithms and methodologies for image analysis, clustering, and multi-view learning.

Best Publications

Tensorized Bipartite Graph Learning for Multi-View Clustering

Unknown

295
Citations
Tensor-SVD Based Graph Learning for Multi-View Subspace Clustering

Quanxue Gao;Wei Xia;Zhizhen Wan;Deyan Xie

193
Citations
Deep Multi-View Subspace Clustering With Unified and Discriminative Learning

Qianqian Wang;Jiafeng Cheng;Quanxue Gao;Guoshuai Zhao

169
Citations
SVM based multi-label learning with missing labels for image annotation

Yang Liu;Kaiwen Wen;Quanxue Gao;Xinbo Gao

167
Citations
Multi-View Attribute Graph Convolution Networks for Clustering.

Jiafeng Cheng;Qianqian Wang;Zhiqiang Tao;Deyan Xie

158
Citations
Partial Multi-view Clustering via Consistent GAN

Qianqian Wang;Zhengming Ding;Zhiqiang Tao;Quanxue Gao

148
Citations
Generative Partial Multi-View Clustering With Adaptive Fusion and Cycle Consistency

Qianqian Wang;Zhengming Ding;Zhiqiang Tao;Quanxue Gao

141
Citations
Deep Adversarial Multi-view Clustering Network

Zhaoyang Li;Qianqian Wang;Zhiqiang Tao;Quanxue Gao

132
Citations
A Non-Greedy Algorithm for L1-Norm LDA

Yang Liu;Quanxue Gao;Shuo Miao;Xinbo Gao

130
Citations
Self-supervised Graph Convolutional Network for Multi-view Clustering

Wei Xia;Qianqian Wang;Quanxue Gao;Xiangdong Zhang

122
Citations
Tensor Completion-Based Incomplete Multiview Clustering

Unknown

115
Citations
$ll _{2,p}$ -Norm Based PCA for Image Recognition.

Qianqian Wang;Quanxue Gao;Xinbo Gao;Feiping Nie

111
Citations
Enhanced fisher discriminant criterion for image recognition

Quanxue Gao;Jingjing Liu;Haijun Zhang;Jun Hou

109
Citations
Multiview Subspace Clustering by an Enhanced Tensor Nuclear Norm.

Wei Xia;Xiangdong Zhang;Quanxue Gao;Xiaochuang Shu

107
Citations
Enhanced Tensor RPCA and its Application

Quanxue Gao;Pu Zhang;Wei Xia;Deyan Xie

106
Citations
Angle 2DPCA: A New Formulation for 2DPCA

Quanxue Gao;Lan Ma;Yang Liu;Xinbo Gao

94
Citations
Stable Orthogonal Local Discriminant Embedding for Linear Dimensionality Reduction

Quanxue Gao;Jingjie Ma;Hailin Zhang;Xinbo Gao

91
Citations
Multiview Spectral Clustering With Bipartite Graph

Unknown

84
Citations
Multi-view graph embedding clustering network: Joint self-supervision and block diagonal representation

Wei Xia;Sen Wang;Ming Yang;Quanxue Gao

82
Citations
Discriminative sparsity preserving projections for image recognition

Quanxue Gao;Yunfang Huang;Hailin Zhang;Xin Hong

79
Citations
Low-rank tensor constrained co-regularized multi-view spectral clustering.

Huiling Xu;Xiangdong Zhang;Wei Xia;Quanxue Gao;Quanxue Gao

77
Citations
Multiview Clustering by Joint Latent Representation and Similarity Learning

Deyan Xie;Xiangdong Zhang;Quanxue Gao;Jiale Han

71
Citations
Joint Global and Local Structure Discriminant Analysis

Quanxue Gao;Jingjing Liu;Hailin Zhang;Xinbo Gao

65
Citations
Graph Embedding Contrastive Multi-Modal Representation Learning for Clustering

Unknown

63
Citations
Two-dimensional supervised local similarity and diversity projection

Quan-Xue Gao;Hui Xu;Yi-Ying Li;De-Yan Xie

62
Citations
Zero Shot Learning via Low-rank Embedded Semantic AutoEncoder.

Yang Liu;Quanxue Gao;Jin Li;Jungong Han

44
Citations
Generative Partial Multi-View Clustering

Qianqian Wang;Zhengming Ding;Zhiqiang Tao;Quanxue Gao

9
Citations

Frequent Co-Authors

Xinbo Gao Xidian University

Yang Liu Linköping University

Feiping Nie Northwestern Polytechnical University

Jungong Han Aberystwyth University

Ling Shao Terminus International

David Zhang Chinese University of Hong Kong, Shenzhen

Lei Zhang Hong Kong Polytechnic University

Yun Fu Northeastern University

Licheng Jiao Xidian University

Zhengming Ding Tulane University

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