H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 71 Citations 27,960 249 World Ranking 796 National Ranking 65

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Algorithm

The scientist’s investigation covers issues in Artificial intelligence, Pattern recognition, Linear discriminant analysis, Cluster analysis and Dimensionality reduction. His work deals with themes such as Machine learning, Graph and Data mining, which intersect with Artificial intelligence. His Pattern recognition study combines topics in areas such as Subspace topology, Facial recognition system and Embedding.

In Linear discriminant analysis, Deng Cai works on issues like Relevance feedback, which are connected to Document retrieval. In his study, Group is strongly linked to Information retrieval, which falls under the umbrella field of Cluster analysis. His Dimensionality reduction study combines topics from a wide range of disciplines, such as Regression analysis and Optimization problem.

His most cited work include:

  • Graph Regularized Nonnegative Matrix Factorization for Data Representation (1506 citations)
  • Laplacian Score for Feature Selection (1251 citations)
  • Neighborhood preserving embedding (1235 citations)

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

His primary areas of study are Artificial intelligence, Pattern recognition, Machine learning, Information retrieval and Data mining. His work carried out in the field of Artificial intelligence brings together such families of science as Computer vision and Natural language processing. Deng Cai usually deals with Pattern recognition and limits it to topics linked to Pixel and Segmentation.

He works mostly in the field of Machine learning, limiting it down to topics relating to Representation and, in certain cases, Discriminative model, as a part of the same area of interest. His Information retrieval study integrates concerns from other disciplines, such as Graph, Ranking and Web page. Deng Cai works mostly in the field of Dimensionality reduction, limiting it down to concerns involving Embedding and, occasionally, Nonlinear dimensionality reduction.

He most often published in these fields:

  • Artificial intelligence (58.98%)
  • Pattern recognition (34.92%)
  • Machine learning (15.59%)

What were the highlights of his more recent work (between 2019-2021)?

  • Artificial intelligence (58.98%)
  • Artificial neural network (6.78%)
  • Object detection (5.08%)

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

His primary scientific interests are in Artificial intelligence, Artificial neural network, Object detection, Computer vision and Pattern recognition. His Artificial intelligence study frequently links to related topics such as Machine learning. His Artificial neural network study combines topics from a wide range of disciplines, such as Adversarial system, Regularization, Algorithm, Relation and Mathematical optimization.

His studies deal with areas such as Similarity measure, Detector and Metric as well as Object detection. His study explores the link between Computer vision and topics such as Benchmark that cross with problems in Machine translation, Sequence, Speech recognition and Encoding. His work deals with themes such as Contextual image classification, Image and Feature, which intersect with Pattern recognition.

Between 2019 and 2021, his most popular works were:

  • Adversarial-Learned Loss for Domain Adaptation (20 citations)
  • Moment Retrieval via Cross-Modal Interaction Networks With Query Reconstruction (11 citations)
  • Training-Time-Friendly Network for Real-Time Object Detection (9 citations)

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

  • Artificial intelligence
  • Machine learning
  • Algorithm

Deng Cai mainly focuses on Artificial intelligence, Code, Machine learning, Representation and Information retrieval. Artificial intelligence is closely attributed to Computer vision in his work. His studies in Code integrate themes in fields like Algorithm and Simple.

Deng Cai combines topics linked to Classifier with his work on Machine learning. He interconnects Speech recognition, Encoding and Sequence in the investigation of issues within Representation. His study in the field of Automatic summarization also crosses realms of Context model, Moment and Interaction network.

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.

Top Publications

Laplacian Score for Feature Selection

Xiaofei He;Deng Cai;Partha Niyogi.
neural information processing systems (2005)

1820 Citations

Neighborhood preserving embedding

Xiaofei He;Deng Cai;Shuicheng Yan;Hong-Jiang Zhang.
international conference on computer vision (2005)

1785 Citations

Graph Regularized Nonnegative Matrix Factorization for Data Representation

Deng Cai;Xiaofei He;Jiawei Han;T S Huang.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2011)

1667 Citations

Unsupervised feature selection for multi-cluster data

Deng Cai;Chiyuan Zhang;Xiaofei He.
knowledge discovery and data mining (2010)

892 Citations

Orthogonal Laplacianfaces for Face Recognition

Deng Cai;Xiaofei He;Jiawei Han;Hong-Jiang Zhang.
IEEE Transactions on Image Processing (2006)

878 Citations

VIPS: a Vision-based Page Segmentation Algorithm

Deng Cai;Shipeng Yu;Ji-Rong Wen;Wei-Ying Ma.
(2003)

876 Citations

Semi-supervised Discriminant Analysis

Deng Cai;Xiaofei He;Jiawei Han.
international conference on computer vision (2007)

717 Citations

Document clustering using locality preserving indexing

D. Cai;X. He;J. Han.
IEEE Transactions on Knowledge and Data Engineering (2005)

714 Citations

Graph Regularized Sparse Coding for Image Representation

Miao Zheng;Jiajun Bu;Chun Chen;Can Wang.
IEEE Transactions on Image Processing (2011)

608 Citations

Locality sensitive discriminant analysis

Deng Cai;Xiaofei He;Kun Zhou;Jiawei Han.
international joint conference on artificial intelligence (2007)

583 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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Top Scientists Citing Deng Cai

Feiping Nie

Feiping Nie

Northwestern Polytechnical University

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Dacheng Tao

Dacheng Tao

University of Sydney

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Xuelong Li

Xuelong Li

Northwestern Polytechnical University

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Shuicheng Yan

Shuicheng Yan

National University of Singapore

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Wei-Ying Ma

Wei-Ying Ma

Tsinghua University

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Zhao Zhang

Zhao Zhang

Hefei University of Technology

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Yun Fu

Yun Fu

Northeastern University

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Meng Wang

Meng Wang

Hefei University of Technology

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Jiawei Han

Jiawei Han

University of Illinois at Urbana-Champaign

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Yi Yang

Yi Yang

Zhejiang University

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Thomas S. Huang

Thomas S. Huang

University of Illinois at Urbana-Champaign

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Zhihui Lai

Zhihui Lai

Shenzhen University

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Ling Shao

Ling Shao

Inception Institute of Artificial Intelligence

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Philip S. Yu

Philip S. Yu

University of Illinois at Chicago

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Heng Tao Shen

Heng Tao Shen

University of Electronic Science and Technology of China

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