H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 33 Citations 5,214 99 World Ranking 6814 National Ranking 3259

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Information retrieval

Linjun Yang focuses on Information retrieval, Ranking, Relevance, Feature and Image. His research on Information retrieval often connects related areas such as Modality. The Ranking study combines topics in areas such as Ranking, Full text search and Feature set.

His Ranking study combines topics from a wide range of disciplines, such as Social media and Similarity. His Relevance research integrates issues from Multimedia, The Internet and Service. He has included themes like Video tracking, Histogram, User profile and Inverted index in his Feature study.

His most cited work include:

  • Tag ranking (456 citations)
  • Ensemble Manifold Regularization (190 citations)
  • Learning to tag (180 citations)

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

Linjun Yang mainly focuses on Information retrieval, Artificial intelligence, Machine learning, Ranking and Pattern recognition. His studies deal with areas such as Image retrieval and Visual Word as well as Information retrieval. In general Artificial intelligence, his work in Feature extraction, Image and Feature is often linked to TRECVID linking many areas of study.

His biological study spans a wide range of topics, including Ranking, Full text search, Web page and Data mining. Linjun Yang interconnects Contextual image classification, Embedding and Cluster analysis in the investigation of issues within Pattern recognition. Linjun Yang has researched Relevance in several fields, including Online video and Multimedia.

He most often published in these fields:

  • Information retrieval (53.93%)
  • Artificial intelligence (49.44%)
  • Machine learning (23.60%)

What were the highlights of his more recent work (between 2012-2020)?

  • Information retrieval (53.93%)
  • Artificial intelligence (49.44%)
  • World Wide Web (6.74%)

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

Linjun Yang spends much of his time researching Information retrieval, Artificial intelligence, World Wide Web, The Internet and Search engine. His Image retrieval research extends to the thematically linked field of Information retrieval. The various areas that he examines in his Artificial intelligence study include Machine learning, Computer vision and Pattern recognition.

His work in the fields of Search-oriented architecture overlaps with other areas such as Bridging. His biological study deals with issues like Automatic summarization, which deal with fields such as Data mining. Linjun Yang has researched Ranking in several fields, including Search analytics, Concept search and Search engine indexing.

Between 2012 and 2020, his most popular works were:

  • CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise (139 citations)
  • Clickage: towards bridging semantic and intent gaps via mining click logs of search engines (93 citations)
  • GPS Estimation for Places of Interest From Social Users' Uploaded Photos (63 citations)

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

  • Artificial intelligence
  • Machine learning
  • Information retrieval

Upload, Feature, Data mining, World Wide Web and Information retrieval are his primary areas of study. Linjun Yang combines subjects such as Social media and The Internet with his study of Upload. Linjun Yang integrates Feature with Assisted GPS in his research.

The study incorporates disciplines such as Ranking, Object, Relevance and Visual Word in addition to Data mining. His research in the fields of Semantic search and Search engine overlaps with other disciplines such as Bridging. His Information retrieval study incorporates themes from Language model and Automatic image annotation, Image retrieval.

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

Tag ranking

Dong Liu;Xian-Sheng Hua;Linjun Yang;Meng Wang.
the web conference (2009)

574 Citations

Learning to tag

Lei Wu;Linjun Yang;Nenghai Yu;Xian-Sheng Hua.
the web conference (2009)

258 Citations

Ensemble Manifold Regularization

Bo Geng;Dacheng Tao;Chao Xu;Linjun Yang.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2012)

239 Citations

Visual query suggestion

Zheng-Jun Zha;Linjun Yang;Tao Mei;Meng Wang.
acm multimedia (2009)

216 Citations

Media Tag Recommendation Technologies

Linjun Yang;Lei Wu;Xian-Sheng Hua.
(2009)

216 Citations

CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise

Kuang-Huei Lee;Xiaodong He;Lei Zhang;Linjun Yang.
computer vision and pattern recognition (2018)

211 Citations

Bayesian video search reranking

Xinmei Tian;Linjun Yang;Jingdong Wang;Yichen Yang.
acm multimedia (2008)

184 Citations

VideoSense: towards effective online video advertising

Tao Mei;Xian-Sheng Hua;Linjun Yang;Shipeng Li.
acm multimedia (2007)

170 Citations

Online video recommendation based on multimodal fusion and relevance feedback

Bo Yang;Tao Mei;Xian-Sheng Hua;Linjun Yang.
conference on image and video retrieval (2007)

169 Citations

Automatic video recommendation

Tao Mei;Xian-Sheng Hua;Bo Yang;Linjun Yang.
(2008)

163 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 Linjun Yang

Tao Mei

Tao Mei

Jingdong (China)

Publications: 89

Qi Tian

Qi Tian

Huawei Technologies (China)

Publications: 64

Meng Wang

Meng Wang

Hefei University of Technology

Publications: 59

Dacheng Tao

Dacheng Tao

University of Sydney

Publications: 56

Xian-Sheng Hua

Xian-Sheng Hua

Microsoft (United States)

Publications: 51

Yehoshua Y. Zeevi

Yehoshua Y. Zeevi

Technion – Israel Institute of Technology

Publications: 51

Tat-Seng Chua

Tat-Seng Chua

National University of Singapore

Publications: 48

Zheng-Jun Zha

Zheng-Jun Zha

University of Science and Technology of China

Publications: 45

Shipeng Li

Shipeng Li

Chinese University of Hong Kong, Shenzhen

Publications: 34

Changsheng Xu

Changsheng Xu

Chinese Academy of Sciences

Publications: 30

Hanqing Lu

Hanqing Lu

Chinese Academy of Sciences

Publications: 30

Yongdong Zhang

Yongdong Zhang

University of Science and Technology of China

Publications: 28

Richang Hong

Richang Hong

Hefei University of Technology

Publications: 26

Shuicheng Yan

Shuicheng Yan

National University of Singapore

Publications: 26

Qingming Huang

Qingming Huang

Chinese Academy of Sciences

Publications: 25

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