H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 47 Citations 8,276 220 World Ranking 3318 National Ranking 1715

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Computer vision

Artificial intelligence, Data mining, Pattern recognition, Machine learning and Computer vision are his primary areas of study. His work on Artificial intelligence deals in particular with Artificial neural network, Feature extraction, Embedding, Outlier and Deep learning. His Data mining research incorporates themes from Hidden Markov model, Side information, Statistical model and Cluster analysis.

His study in Cluster analysis is interdisciplinary in nature, drawing from both Unsupervised learning and Identification. Zhongfei Zhang has researched Pattern recognition in several fields, including Subspace topology, Content-based image retrieval, Automatic image annotation, Image retrieval and Covariance matrix. His Machine learning research includes elements of Representation, Multimedia information retrieval and Multiple view.

His most cited work include:

  • A survey of appearance models in visual object tracking (575 citations)
  • Spectral clustering for multi-type relational data (352 citations)
  • A general model for multiple view unsupervised learning (204 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of investigation include Artificial intelligence, Machine learning, Pattern recognition, Data mining and Computer vision. His is doing research in Discriminative model, Benchmark, Convolutional neural network, Feature extraction and Automatic image annotation, both of which are found in Artificial intelligence. His Automatic image annotation research focuses on Information retrieval and how it connects with Web page.

Machine learning is often connected to Embedding in his work. His research integrates issues of Contextual image classification, Subspace topology and Image retrieval in his study of Pattern recognition. His Data mining study which covers Cluster analysis that intersects with Relational database.

He most often published in these fields:

  • Artificial intelligence (69.78%)
  • Machine learning (29.86%)
  • Pattern recognition (27.34%)

What were the highlights of his more recent work (between 2018-2021)?

  • Artificial intelligence (69.78%)
  • Machine learning (29.86%)
  • Benchmark (8.63%)

In recent papers he was focusing on the following fields of study:

His primary scientific interests are in Artificial intelligence, Machine learning, Benchmark, Artificial neural network and Discriminative model. His Artificial intelligence study frequently links to related topics such as Pattern recognition. His work investigates the relationship between Machine learning and topics such as Robustness that intersect with problems in Deep learning and Feature extraction.

His Benchmark study integrates concerns from other disciplines, such as DUAL and Tensor. Zhongfei Zhang has included themes like Algorithm, Facial recognition system and Hypersphere in his Artificial neural network study. His Discriminative model study deals with Class intersecting with Triplet loss, Shot, Prototype learning and Autoencoder.

Between 2018 and 2021, his most popular works were:

  • A Survey of Multi-View Representation Learning (111 citations)
  • Spatio-Temporal Graph Routing for Skeleton-Based Action Recognition (45 citations)
  • Zero-Shot Learning via Latent Space Encoding (31 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Machine learning
  • Computer vision

Zhongfei Zhang mostly deals with Artificial intelligence, Machine learning, Benchmark, Semantics and Zero shot learning. His Data modeling research extends to Artificial intelligence, which is thematically connected. His Data modeling research is multidisciplinary, incorporating perspectives in Field, Feature learning, Neural coding, Markov chain and Convolutional neural network.

His Machine learning study combines topics from a wide range of disciplines, such as Representation and Representation. His research in Semantics intersects with topics in Embedding and Visualization. His Discriminative model study combines topics in areas such as Class, Inference and Generative model.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

A survey of appearance models in visual object tracking

Xi Li;Weiming Hu;Chunhua Shen;Zhongfei Zhang.
ACM Transactions on Intelligent Systems and Technology (2013)

792 Citations

Spectral clustering for multi-type relational data

Bo Long;Zhongfei (Mark) Zhang;Xiaoyun Wú;Philip S. Yu.
international conference on machine learning (2006)

537 Citations

A general model for multiple view unsupervised learning

Bo Long;Philip S. Yu;Zhongfei (Mark) Zhang.
siam international conference on data mining (2008)

256 Citations

Spatial color histograms for content-based image retrieval

Aibing Rao;R.K. Srihari;Zhongfei Zhang.
international conference on tools with artificial intelligence (1999)

230 Citations

Co-clustering by block value decomposition

Bo Long;Zhongfei (Mark) Zhang;Philip S. Yu.
knowledge discovery and data mining (2005)

221 Citations

Unsupervised learning on k-partite graphs

Bo Long;Xiaoyun Wu;Zhongfei (Mark) Zhang;Philip S. Yu.
knowledge discovery and data mining (2006)

192 Citations

Intelligent Indexing and Semantic Retrieval of Multimodal Documents

Rohini K. Srihari;Zhongfei Zhang;Aibing Rao.
Information Retrieval (2000)

177 Citations

A probabilistic semantic model for image annotation and multimodal image retrieval

Ruofei Zhang;Zhongfei Zhang;Mingjing Li;Wei-Ying Ma.
international conference on computer vision (2005)

171 Citations

Visual tracking via incremental Log-Euclidean Riemannian subspace learning

Xi Li;Weiming Hu;Zhongfei Zhang;Xiaoqin Zhang.
computer vision and pattern recognition (2008)

166 Citations

Robust Visual Tracking Based on Incremental Tensor Subspace Learning

Xi Li;Weiming Hu;Zhongfei Zhang;Xiaoqin Zhang.
international conference on computer vision (2007)

155 Citations

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Best Scientists Citing Zhongfei Zhang

Dacheng Tao

Dacheng Tao

University of Sydney

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Philip S. Yu

Philip S. Yu

University of Illinois at Chicago

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Warren E. Dixon

University of Florida

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Qingming Huang

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Chinese Academy of Sciences

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Yueting Zhuang

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Zhejiang University

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Weiming Hu

Weiming Hu

Chinese Academy of Sciences

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Jiawei Han

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University of Illinois at Urbana-Champaign

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Haibin Ling

Haibin Ling

Stony Brook University

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Fei Wu

Fei Wu

Nanjing University of Posts and Telecommunications

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Xi Li

Xi Li

Zhejiang University

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Ming-Hsuan Yang

Ming-Hsuan Yang

University of California, Merced

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Yi Yang

Yi Yang

Zhejiang University

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Thierry Bouwmans

Thierry Bouwmans

University of La Rochelle

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Xuelong Li

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Northwestern Polytechnical University

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Huchuan Lu

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Dalian University of Technology

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Ling Shao

Ling Shao

Inception Institute of Artificial Intelligence

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