D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 45 Citations 7,990 225 World Ranking 3653 National Ranking 218

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Machine learning

His main research concerns Artificial intelligence, Computer vision, Pattern recognition, Robustness and Convolutional neural network. His study in Visualization, Deep learning, Feature extraction, Video tracking and Cognitive neuroscience of visual object recognition is done as part of Artificial intelligence. His work on RGB color model, Image, Camera resectioning and Object is typically connected to Line as part of general Computer vision study, connecting several disciplines of science.

His RGB color model study incorporates themes from Image sensor and Gesture recognition. His Pattern recognition research is multidisciplinary, relying on both Semantics and Hash function. The study incorporates disciplines such as Change detection, Filter, Pruning, Algorithm and Convolution in addition to Convolutional neural network.

His most cited work include:

  • Enhanced Computer Vision With Microsoft Kinect Sensor: A Review (1123 citations)
  • Gabor Convolutional Networks (146 citations)
  • Sparse representation based multi-sensor image fusion for multi-focus and multi-modality images: A review (139 citations)

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

The scientist’s investigation covers issues in Artificial intelligence, Pattern recognition, Computer vision, Convolutional neural network and Image. His study connects Machine learning and Artificial intelligence. His Pattern recognition research incorporates elements of Convolution and Representation.

His Computer vision study frequently links to related topics such as Visualization. In his work, Pruning is strongly intertwined with Algorithm, which is a subfield of Convolutional neural network. His research investigates the connection between Image and topics such as Hash function that intersect with problems in Binary code.

He most often published in these fields:

  • Artificial intelligence (79.23%)
  • Pattern recognition (36.15%)
  • Computer vision (31.54%)

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

  • Artificial intelligence (79.23%)
  • Pattern recognition (36.15%)
  • Convolutional neural network (16.92%)

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

Jungong Han mostly deals with Artificial intelligence, Pattern recognition, Convolutional neural network, Benchmark and Computer vision. Feature, Segmentation, Image, RGB color model and Feature extraction are subfields of Artificial intelligence in which his conducts study. Jungong Han interconnects Image resolution, Field and Deep learning in the investigation of issues within Image.

His work on Discriminative model as part of general Pattern recognition research is frequently linked to Property, bridging the gap between disciplines. His biological study spans a wide range of topics, including Overhead, Pruning, Network model, Data compression ratio and Algorithm. Jungong Han has included themes like DUAL and Pattern recognition in his Computer vision study.

Between 2019 and 2021, his most popular works were:

  • Attribute-Guided Network for Cross-Modal Zero-Shot Hashing (31 citations)
  • Discrete Probability Distribution Prediction of Image Emotions with Shared Sparse Learning (29 citations)
  • Episode-Based Prototype Generating Network for Zero-Shot Learning (24 citations)

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

  • Artificial intelligence
  • Machine learning
  • Computer vision

Artificial intelligence, Convolutional neural network, Image, Pattern recognition and Feature extraction are his primary areas of study. His research in Artificial intelligence intersects with topics in Machine learning and Computer vision. His Convolutional neural network study also includes

  • Feature learning which intersects with area such as RGB color model, Salient object detection and Process,
  • Artificial neural network which is related to area like Cognitive neuroscience of visual object recognition, Computational intelligence and Convolution.

His Image research incorporates themes from Network model, Deep learning, Reduction and Pruning. His Pattern recognition research includes themes of Exploit, Pascal and Benchmark. His work deals with themes such as Feature based, Leverage, Natural language processing, Text retrieval and Iterative method, which intersect with Feature extraction.

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

Enhanced Computer Vision With Microsoft Kinect Sensor: A Review

Jungong Han;Ling Shao;Dong Xu;Jamie Shotton.
IEEE Transactions on Systems, Man, and Cybernetics (2013)

1673 Citations

Gabor Convolutional Networks

Shangzhen Luan;Chen Chen;Baochang Zhang;Jungong Han.
IEEE Transactions on Image Processing (2018)

190 Citations

Sparse representation based multi-sensor image fusion for multi-focus and multi-modality images: A review

Qiang Zhang;Yi Liu;Rick S. Blum;Jungong Han.
Information Fusion (2018)

190 Citations

Automatic video-based human motion analyzer for consumer surveillance system

Weilun Lao;Jungong Han.
IEEE Transactions on Consumer Electronics (2009)

149 Citations

Cosaliency Detection Based on Intrasaliency Prior Transfer and Deep Intersaliency Mining

Dingwen Zhang;Junwei Han;Jungong Han;Ling Shao.
IEEE Transactions on Neural Networks (2016)

145 Citations

RGB-D datasets using microsoft kinect or similar sensors: a survey

Ziyun Cai;Jungong Han;Li Liu;Ling Shao.
Multimedia Tools and Applications (2017)

122 Citations

Employing a RGB-D sensor for real-time tracking of humans across multiple re-entries in a smart environment

Jungong Han;E. J. Pauwels;P. M. de Zeeuw.
IEEE Transactions on Consumer Electronics (2012)

118 Citations

Action Recognition Using 3D Histograms of Texture and A Multi-Class Boosting Classifier

Baochang Zhang;Yun Yang;Chen Chen;Linlin Yang.
IEEE Transactions on Image Processing (2017)

117 Citations

Cross-View Retrieval via Probability-Based Semantics-Preserving Hashing

Zijia Lin;Guiguang Ding;Jungong Han;Jianmin Wang.
IEEE Transactions on Systems, Man, and Cybernetics (2017)

116 Citations

Video-Based Fall Detection in the Home Using Principal Component Analysis

Lykele Hazelhoff;Jungong Han.
advanced concepts for intelligent vision systems (2008)

104 Citations

Best Scientists Citing Jungong Han

Ling Shao

Ling Shao

Inception Institute of Artificial Intelligence

Publications: 83

Michael A. Leabman

Michael A. Leabman

Energous Corporation

Publications: 76

Baochang Zhang

Baochang Zhang

Beihang University

Publications: 55

Gregory Scott Brewer

Gregory Scott Brewer

Apple (United States)

Publications: 45

Xuelong Li

Xuelong Li

Northwestern Polytechnical University

Publications: 45

Junwei Han

Junwei Han

Northwestern Polytechnical University

Publications: 43

Yanwei Pang

Yanwei Pang

Tianjin University

Publications: 28

Xinbo Gao

Xinbo Gao

Chongqing University of Posts and Telecommunications

Publications: 25

Jianbing Shen

Jianbing Shen

Beijing Institute of Technology

Publications: 22

Fumin Shen

Fumin Shen

University of Electronic Science and Technology of China

Publications: 22

Heng Tao Shen

Heng Tao Shen

University of Electronic Science and Technology of China

Publications: 21

Jinchang Ren

Jinchang Ren

Robert Gordon University

Publications: 20

Rongrong Ji

Rongrong Ji

Xiamen University

Publications: 19

Xiaoqiang Lu

Xiaoqiang Lu

Chinese Academy of Sciences

Publications: 19

Sicheng Zhao

Sicheng Zhao

University of California, Berkeley

Publications: 19

Yang Yang

Yang Yang

University of Electronic Science and Technology of China

Publications: 17

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

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