H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 95 Citations 37,301 568 World Ranking 201 National Ranking 3

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • The Internet

Artificial intelligence, Information retrieval, Machine learning, Pattern recognition and Image retrieval are his primary areas of study. His work deals with themes such as Recommender system and Data mining, which intersect with Artificial intelligence. His Information retrieval study incorporates themes from Ranking, Context and World Wide Web, The Internet.

He interconnects Space and Key in the investigation of issues within Machine learning. His studies deal with areas such as Speech recognition, Similarity and Kernel as well as Pattern recognition. His work carried out in the field of Image retrieval brings together such families of science as Image processing and Annotation.

His most cited work include:

  • NUS-WIDE: a real-world web image database from National University of Singapore (1753 citations)
  • Neural Collaborative Filtering (1578 citations)
  • SCA-CNN: Spatial and Channel-Wise Attention in Convolutional Networks for Image Captioning (731 citations)

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

His primary scientific interests are in Artificial intelligence, Information retrieval, Machine learning, Multimedia and World Wide Web. The Artificial intelligence study combines topics in areas such as Natural language processing, Computer vision and Pattern recognition. His research on Pattern recognition often connects related topics like Automatic image annotation.

He combines subjects such as Ranking, Semantics and Image retrieval with his study of Information retrieval. His study brings together the fields of Data mining and Machine learning. As part of his studies on World Wide Web, Tat-Seng Chua often connects relevant subjects like Data science.

He most often published in these fields:

  • Artificial intelligence (43.20%)
  • Information retrieval (26.04%)
  • Machine learning (17.60%)

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

  • Artificial intelligence (43.20%)
  • Information retrieval (26.04%)
  • Machine learning (17.60%)

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

Tat-Seng Chua spends much of his time researching Artificial intelligence, Information retrieval, Machine learning, Recommender system and Embedding. His research in Artificial intelligence intersects with topics in Relation and Natural language processing. His Information retrieval research incorporates elements of Cover, Conversation and Encoding.

His Machine learning research incorporates themes from Domain knowledge and Bipartite graph. His Recommender system study combines topics from a wide range of disciplines, such as Visualization, Noise reduction, Key and Empirical research. His Embedding study combines topics in areas such as Ranking, Feature extraction and Social network.

Between 2019 and 2021, his most popular works were:

  • Neural Sparse Voxel Fields (50 citations)
  • Estimation-Action-Reflection: Towards Deep Interaction Between Conversational and Recommender Systems (46 citations)
  • Adversarial Training Towards Robust Multimedia Recommender System (40 citations)

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

  • Artificial intelligence
  • Machine learning
  • The Internet

His main research concerns Artificial intelligence, Information retrieval, Recommender system, Machine learning and Natural language. His study in Deep learning, Representation, Leverage, Artificial neural network and Computer graphics is carried out as part of his Artificial intelligence studies. His work deals with themes such as Ranking, Conversation and Empirical research, which intersect with Information retrieval.

His Recommender system research is multidisciplinary, incorporating perspectives in Visualization, Key and Converse. The concepts of his Machine learning study are interwoven with issues in Relational graph and Knowledge graph. His study in Natural language is interdisciplinary in nature, drawing from both World Wide Web, Information seeking, Data science and Word embedding.

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

NUS-WIDE: a real-world web image database from National University of Singapore

Tat-Seng Chua;Jinhui Tang;Richang Hong;Haojie Li.
conference on image and video retrieval (2009)

1964 Citations

Neural Collaborative Filtering

Xiangnan He;Lizi Liao;Hanwang Zhang;Liqiang Nie.
the web conference (2017)

1342 Citations

Toward Scalable Systems for Big Data Analytics: A Technology Tutorial

Han Hu;Yonggang Wen;Tat-Seng Chua;Xuelong Li.
IEEE Access (2014)

995 Citations

SCA-CNN: Spatial and Channel-Wise Attention in Convolutional Networks for Image Captioning

Long Chen;Hanwang Zhang;Jun Xiao;Liqiang Nie.
computer vision and pattern recognition (2017)

589 Citations

Hierarchical spatio-temporal context modeling for action recognition

Ju Sun;Xiao Wu;Shuicheng Yan;Loong-Fah Cheong.
computer vision and pattern recognition (2009)

521 Citations

Fast Matrix Factorization for Online Recommendation with Implicit Feedback

Xiangnan He;Hanwang Zhang;Min-Yen Kan;Tat-Seng Chua.
international acm sigir conference on research and development in information retrieval (2016)

484 Citations

Tour the world: Building a web-scale landmark recognition engine

Yan-Tao Zheng;Ming Zhao;Yang Song;Hartwig Adam.
computer vision and pattern recognition (2009)

446 Citations

Attentive Collaborative Filtering: Multimedia Recommendation with Item- and Component-Level Attention

Jingyuan Chen;Hanwang Zhang;Xiangnan He;Liqiang Nie.
international acm sigir conference on research and development in information retrieval (2017)

364 Citations

Topical word embeddings

Yang Liu;Zhiyuan Liu;Tat-Seng Chua;Maosong Sun.
national conference on artificial intelligence (2015)

344 Citations

Image and Video Retrieval

Wee-Kheng Leow;Michael S. Lew;Tat-Seng Chua;Wei-Ying Ma.
(2008)

327 Citations

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Best Scientists Citing Tat-Seng Chua

Qi Tian

Qi Tian

Huawei Technologies (China)

Publications: 133

Meng Wang

Meng Wang

Hefei University of Technology

Publications: 115

Changsheng Xu

Changsheng Xu

Chinese Academy of Sciences

Publications: 97

Dacheng Tao

Dacheng Tao

University of Sydney

Publications: 96

Heng Tao Shen

Heng Tao Shen

University of Electronic Science and Technology of China

Publications: 95

Yang Yang

Yang Yang

University of Electronic Science and Technology of China

Publications: 84

Qingming Huang

Qingming Huang

Chinese Academy of Sciences

Publications: 83

Liqiang Nie

Liqiang Nie

Shandong University

Publications: 76

Hanqing Lu

Hanqing Lu

Chinese Academy of Sciences

Publications: 73

Xuelong Li

Xuelong Li

Northwestern Polytechnical University

Publications: 72

Yongdong Zhang

Yongdong Zhang

University of Science and Technology of China

Publications: 72

Zi Huang

Zi Huang

University of Queensland

Publications: 70

Jinhui Tang

Jinhui Tang

Nanjing University of Science and Technology

Publications: 68

Fumin Shen

Fumin Shen

University of Electronic Science and Technology of China

Publications: 66

Rongrong Ji

Rongrong Ji

Xiamen University

Publications: 65

Xiangnan He

Xiangnan He

University of Science and Technology of China

Publications: 64

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