H-Index & Metrics Best Publications
Hong-Jiang Zhang

Hong-Jiang Zhang

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 126 Citations 62,458 422 World Ranking 36 National Ranking 4

Research.com Recognitions

Awards & Achievements

2007 - ACM Fellow For contributions to content-based analysis and retrieval of multimedia.

2004 - IEEE Fellow For contributions to media computing and leadership in content-based visual media analysis, retrieval and browsing.

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Machine learning

Hong-Jiang Zhang mostly deals with Artificial intelligence, Pattern recognition, Computer vision, Image retrieval and Information retrieval. Within one scientific family, Hong-Jiang Zhang focuses on topics pertaining to Machine learning under Artificial intelligence, and may sometimes address concerns connected to Standard test image. His work carried out in the field of Pattern recognition brings together such families of science as Subspace topology, Facial recognition system, Face detection and Feature.

His Image retrieval study combines topics from a wide range of disciplines, such as Contextual image classification and Color histogram. His study in Information retrieval is interdisciplinary in nature, drawing from both Annotation, Data mining and Visual Word. His work deals with themes such as Multimedia, Motion compensation, Parsing and Video processing, which intersect with Video tracking.

His most cited work include:

  • Face recognition using Laplacianfaces (2852 citations)
  • Graph Embedding and Extensions: A General Framework for Dimensionality Reduction (2213 citations)
  • Automatic partitioning of full-motion video (1256 citations)

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

Hong-Jiang Zhang focuses on Artificial intelligence, Pattern recognition, Computer vision, Image retrieval and Information retrieval. His research in Artificial intelligence focuses on subjects like Machine learning, which are connected to Probabilistic logic. The concepts of his Pattern recognition study are interwoven with issues in Face detection, Speech recognition, Feature and Cluster analysis.

Image retrieval is frequently linked to Data mining in his study. His Information retrieval research incorporates elements of Annotation and Image. His Video tracking research is multidisciplinary, incorporating perspectives in Multimedia, Parsing and Video processing.

He most often published in these fields:

  • Artificial intelligence (58.98%)
  • Pattern recognition (33.88%)
  • Computer vision (30.00%)

What were the highlights of his more recent work (between 2007-2017)?

  • Artificial intelligence (58.98%)
  • Information retrieval (22.45%)
  • Pattern recognition (33.88%)

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

His primary areas of study are Artificial intelligence, Information retrieval, Pattern recognition, Image retrieval and Machine learning. Artificial intelligence is often connected to Computer vision in his work. His Information retrieval research includes elements of Social media and Image.

His biological study deals with issues like Iterative reconstruction, which deal with fields such as Subspace topology. His studies in Image retrieval integrate themes in fields like Visualization, Data mining and Cluster analysis. His Machine learning study integrates concerns from other disciplines, such as Probabilistic logic, Cognitive neuroscience of visual object recognition and Data set.

Between 2007 and 2017, his most popular works were:

  • Tag ranking (456 citations)
  • Towards a Relevant and Diverse Search of Social Images (213 citations)
  • Multi-label sparse coding for automatic image annotation (198 citations)

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

  • Artificial intelligence
  • Machine learning
  • Computer vision

His main research concerns Information retrieval, Search engine indexing, Image retrieval, Artificial intelligence and Ranking. His Information retrieval research is multidisciplinary, relying on both Ranking and Image. Hong-Jiang Zhang interconnects Tag cloud, Semantic similarity and Feature in the investigation of issues within Search engine indexing.

His Artificial intelligence research integrates issues from Machine learning and Pattern recognition. The various areas that Hong-Jiang Zhang examines in his Pattern recognition study include Contextual image classification, Iterative reconstruction and Image processing. His biological study spans a wide range of topics, including Social media, Similarity, Relevance and Visualization.

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

Face recognition using Laplacianfaces

Xiaofei He;Shuicheng Yan;Yuxiao Hu;P. Niyogi.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2005)

3947 Citations

Graph Embedding and Extensions: A General Framework for Dimensionality Reduction

Shuicheng Yan;Dong Xu;Benyu Zhang;Hong-Jiang Zhang.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2007)

3014 Citations

Automatic partitioning of full-motion video

HongJiang Zhang;Atreyi Kankanhalli;Stephen W. Smoliar.
Multimedia Systems (1993)

2027 Citations

Neighborhood preserving embedding

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

1785 Citations

Contrast-based image attention analysis by using fuzzy growing

Yu-Fei Ma;Hong-Jiang Zhang.
acm multimedia (2003)

1194 Citations

Image classification for content-based indexing

A. Vailaya;M.A.T. Figueiredo;A.K. Jain;Hong-Jiang Zhang.
IEEE Transactions on Image Processing (2001)

1105 Citations

Learning spatially localized, parts-based representation

S.Z. Li;Xin Wen Hou;Hong Jiang Zhang;Qian Sheng Cheng.
computer vision and pattern recognition (2001)

1017 Citations

Orthogonal Laplacianfaces for Face Recognition

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

878 Citations

ON IMAGE CLASSIFICATION: CITY IMAGES VS. LANDSCAPES

Aditya Vailaya;Anil K. Jain;HongJiang Zhang.
Pattern Recognition (1998)

816 Citations

Content based video indexing and retrieval

S.W. Smoliar;HongJiang Zhang.
IEEE MultiMedia (1994)

777 Citations

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Best Scientists Citing Hong-Jiang Zhang

Wei-Ying Ma

Wei-Ying Ma

Tsinghua University

Publications: 134

Xuelong Li

Xuelong Li

Northwestern Polytechnical University

Publications: 133

Dacheng Tao

Dacheng Tao

University of Sydney

Publications: 129

Shuicheng Yan

Shuicheng Yan

National University of Singapore

Publications: 126

Xian-Sheng Hua

Xian-Sheng Hua

Microsoft (United States)

Publications: 125

Thomas S. Huang

Thomas S. Huang

University of Illinois at Urbana-Champaign

Publications: 122

Wen Gao

Wen Gao

Peking University

Publications: 101

Qi Tian

Qi Tian

Huawei Technologies (China)

Publications: 101

Tao Mei

Tao Mei

Jingdong (China)

Publications: 94

Changsheng Xu

Changsheng Xu

Chinese Academy of Sciences

Publications: 89

Hanqing Lu

Hanqing Lu

Chinese Academy of Sciences

Publications: 84

Feiping Nie

Feiping Nie

Northwestern Polytechnical University

Publications: 78

Meng Wang

Meng Wang

Hefei University of Technology

Publications: 78

Shih-Fu Chang

Shih-Fu Chang

Columbia University

Publications: 78

Xiaoou Tang

Xiaoou Tang

Chinese University of Hong Kong

Publications: 75

Jonathan J. Hull

Jonathan J. Hull

Independent Scientist / Consultant, US

Publications: 74

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