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 56 Citations 9,659 177 World Ranking 2087 National Ranking 202

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Computer vision

Yue Gao focuses on Artificial intelligence, Pattern recognition, Computer vision, Image retrieval and Information retrieval. Many of his studies involve connections with topics such as Machine learning and Artificial intelligence. His research ties Feature vector and Computer vision together.

His work on Semantic gap is typically connected to Explicit semantic analysis, Semantic grid and Semantic technology as part of general Image retrieval study, connecting several disciplines of science. The various areas that Yue Gao examines in his Information retrieval study include Text mining, Data mining, Multimedia and Visual Word. Yue Gao works mostly in the field of Contextual image classification, limiting it down to concerns involving Feature extraction and, occasionally, Convolutional neural network and Feature.

His most cited work include:

  • 3-D Object Retrieval and Recognition With Hypergraph Analysis (453 citations)
  • Visual-Textual Joint Relevance Learning for Tag-Based Social Image Search (360 citations)
  • Representative Discovery of Structure Cues for Weakly-Supervised Image Segmentation (194 citations)

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

Yue Gao spends much of his time researching Artificial intelligence, Pattern recognition, Computer vision, Machine learning and Information retrieval. In his research, Yue Gao performs multidisciplinary study on Artificial intelligence and Hypergraph. Yue Gao has included themes like Contextual image classification, Representation and Feature in his Pattern recognition study.

His work on Pixel, Image segmentation and Gaze as part of his general Computer vision study is frequently connected to Process and Spatial analysis, thereby bridging the divide between different branches of science. Yue Gao combines subjects such as Classifier, Social media, Microblogging and Connectome with his study of Machine learning. His Information retrieval research incorporates elements of Image retrieval, Visual Word and Data mining.

He most often published in these fields:

  • Artificial intelligence (68.10%)
  • Pattern recognition (36.20%)
  • Computer vision (20.86%)

What were the highlights of his more recent work (between 2017-2021)?

  • Artificial intelligence (68.10%)
  • Pattern recognition (36.20%)
  • Hypergraph (15.34%)

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

His primary areas of study are Artificial intelligence, Pattern recognition, Hypergraph, Representation and Machine learning. Deep learning, Feature extraction, Image, Discriminative model and Feature are the primary areas of interest in his Artificial intelligence study. His work deals with themes such as Relation and Identification, which intersect with Pattern recognition.

His Representation research is multidisciplinary, incorporating perspectives in Artificial neural network, Point cloud and Cognitive neuroscience of visual object recognition. His Machine learning research is multidisciplinary, incorporating elements of Training set, Pairwise comparison and Set. The various areas that Yue Gao examines in his Convolutional neural network study include Text mining and Visualization.

Between 2017 and 2021, his most popular works were:

  • GVCNN: Group-View Convolutional Neural Networks for 3D Shape Recognition (154 citations)
  • Hypergraph Neural Networks (114 citations)
  • Predicting Personalized Image Emotion Perceptions in Social Networks (96 citations)

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

  • Artificial intelligence
  • Machine learning
  • Computer vision

Yue Gao mostly deals with Artificial intelligence, Machine learning, Representation, Feature extraction and Feature. His work in Deep learning, Discriminative model, Convolutional neural network, Contextual image classification and Training set are all subfields of Artificial intelligence research. His work in Machine learning addresses issues such as Pairwise comparison, which are connected to fields such as Object and Relevance.

The study incorporates disciplines such as Artificial neural network, Point cloud and Pattern recognition in addition to Representation. In his research on the topic of Pattern recognition, Embedding and Cognitive neuroscience of visual object recognition is strongly related with Feature. Yue Gao works mostly in the field of Feature extraction, limiting it down to topics relating to Visualization and, in certain cases, World Wide Web and Social network, as a part of the same area of interest.

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

3-D Object Retrieval and Recognition With Hypergraph Analysis

Yue Gao;Meng Wang;Dacheng Tao;Rongrong Ji.
IEEE Transactions on Image Processing (2012)

485 Citations

Visual-Textual Joint Relevance Learning for Tag-Based Social Image Search

Yue Gao;Meng Wang;Zheng-Jun Zha;Jialie Shen.
IEEE Transactions on Image Processing (2013)

409 Citations

Camera Constraint-Free View-Based 3-D Object Retrieval

Yue Gao;Jinhui Tang;Richang Hong;Shuicheng Yan.
IEEE Transactions on Image Processing (2012)

229 Citations

CORE: a content-based retrieval engine for multimedia information systems

J. K. Wu;A. Desai Narasimhalu;B. M. Mehtre;C. P. Lam.
Multimedia Systems (1995)

213 Citations

Less is More: Efficient 3-D Object Retrieval With Query View Selection

Yue Gao;Meng Wang;Zheng-Jun Zha;Qi Tian.
IEEE Transactions on Multimedia (2011)

212 Citations

Spectral-Spatial Constraint Hyperspectral Image Classification

Rongrong Ji;Yue Gao;Richang Hong;Qiong Liu.
IEEE Transactions on Geoscience and Remote Sensing (2014)

212 Citations

When Location Meets Social Multimedia: A Survey on Vision-Based Recognition and Mining for Geo-Social Multimedia Analytics

Rongrong Ji;Yue Gao;Wei Liu;Xing Xie.
ACM Transactions on Intelligent Systems and Technology (2015)

202 Citations

Representative Discovery of Structure Cues for Weakly-Supervised Image Segmentation

Luming Zhang;Yue Gao;Yingjie Xia;Ke Lu.
IEEE Transactions on Multimedia (2014)

199 Citations

3-D Object Retrieval With Hausdorff Distance Learning

Yue Gao;Meng Wang;Rongrong Ji;Xindong Wu.
IEEE Transactions on Industrial Electronics (2014)

188 Citations

Exploring Principles-of-Art Features For Image Emotion Recognition

Sicheng Zhao;Yue Gao;Xiaolei Jiang;Hongxun Yao.
acm multimedia (2014)

184 Citations

Best Scientists Citing Yue Gao

Dinggang Shen

Dinggang Shen

ShanghaiTech University

Publications: 92

Xuelong Li

Xuelong Li

Northwestern Polytechnical University

Publications: 57

Liqiang Nie

Liqiang Nie

Shandong University

Publications: 55

Yang Yang

Yang Yang

University of Electronic Science and Technology of China

Publications: 54

Rongrong Ji

Rongrong Ji

Xiamen University

Publications: 53

Tat-Seng Chua

Tat-Seng Chua

National University of Singapore

Publications: 53

Fumin Shen

Fumin Shen

University of Electronic Science and Technology of China

Publications: 45

Meng Wang

Meng Wang

Hefei University of Technology

Publications: 44

Sicheng Zhao

Sicheng Zhao

University of California, Berkeley

Publications: 44

Dacheng Tao

Dacheng Tao

University of Sydney

Publications: 43

Heng Tao Shen

Heng Tao Shen

University of Electronic Science and Technology of China

Publications: 40

Qi Tian

Qi Tian

Huawei Technologies (China)

Publications: 40

Richang Hong

Richang Hong

Hefei University of Technology

Publications: 35

Mingxia Liu

Mingxia Liu

University of North Carolina at Chapel Hill

Publications: 34

Guiguang Ding

Guiguang Ding

Tsinghua University

Publications: 34

Jungong Han

Jungong Han

Aberystwyth University

Publications: 33

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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