H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 81 Citations 22,984 303 World Ranking 414 National Ranking 247

Research.com Recognitions

Awards & Achievements

2009 - ACM Senior Member

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • World Wide Web

His primary areas of study are Information retrieval, Artificial intelligence, Data mining, World Wide Web and Search engine. His study brings together the fields of Web page and Information retrieval. His studies deal with areas such as Machine learning, Pattern recognition and Natural language processing as well as Artificial intelligence.

His Data mining research incorporates elements of Structure, Web application, Similarity and Link analysis. His World Wide Web study integrates concerns from other disciplines, such as Multimedia, Advertising and Ranking. The Search engine study combines topics in areas such as Online advertising and Market segmentation.

His most cited work include:

  • Knowledge graph embedding by translating on hyperplanes (1278 citations)
  • Learning to cluster web search results (614 citations)
  • Scalable collaborative filtering using cluster-based smoothing (558 citations)

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

Information retrieval, Artificial intelligence, Data mining, Web page and World Wide Web are his primary areas of study. Information retrieval is represented through his Web search query, Search engine, Web query classification, Query expansion and Ranking research. The concepts of his Search engine study are interwoven with issues in Online advertising and Relevance.

His Artificial intelligence research integrates issues from Natural language processing, Machine learning and Pattern recognition. Zheng Chen has included themes like Set, Cluster analysis, Link analysis, Algorithm and Feature selection in his Data mining study. His research integrates issues of Context, Multimedia and Advertising in his study of World Wide Web.

He most often published in these fields:

  • Information retrieval (45.73%)
  • Artificial intelligence (33.33%)
  • Data mining (26.72%)

What were the highlights of his more recent work (between 2010-2020)?

  • Information retrieval (45.73%)
  • Artificial intelligence (33.33%)
  • Search engine (16.25%)

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

Zheng Chen mainly investigates Information retrieval, Artificial intelligence, Search engine, Machine learning and Data mining. His Information retrieval research includes elements of Web page and Knowledge base. Many of his studies involve connections with topics such as Natural language processing and Artificial intelligence.

His biological study spans a wide range of topics, including Multi-objective optimization, The Internet, Relevance and Click-through rate. His Machine learning study incorporates themes from Matrix decomposition, Data set, Relation and Task. His Data mining research is multidisciplinary, incorporating perspectives in Collaborative filtering, MovieLens, Human–computer interaction, Cluster analysis and Implementation.

Between 2010 and 2020, his most popular works were:

  • Knowledge graph embedding by translating on hyperplanes (1278 citations)
  • Knowledge Graph and Text Jointly Embedding (291 citations)
  • Aligning Knowledge and Text Embeddings by Entity Descriptions (115 citations)

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

  • Artificial intelligence
  • Machine learning
  • World Wide Web

Artificial intelligence, Information retrieval, Natural language processing, Machine learning and Embedding are his primary areas of study. Artificial intelligence and Computer vision are commonly linked in his work. Information retrieval and Focus are frequently intertwined in his study.

His Natural language processing research is multidisciplinary, incorporating elements of Space, Word-sense disambiguation, Training set and Knowledge base. The various areas that Zheng Chen examines in his Machine learning study include Reduction, Named-entity recognition, Data mining and Categorization. Zheng Chen interconnects WordNet and Entity linking in the investigation of issues within 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.

Top Publications

Knowledge graph embedding by translating on hyperplanes

Zhen Wang;Jianwen Zhang;Jianlin Feng;Zheng Chen.
national conference on artificial intelligence (2014)

1167 Citations

Scalable collaborative filtering using cluster-based smoothing

Gui-Rong Xue;Chenxi Lin;Qiang Yang;WenSi Xi.
international acm sigir conference on research and development in information retrieval (2005)

874 Citations

Learning to cluster web search results

Hua-Jun Zeng;Qi-Cai He;Zheng Chen;Wei-Ying Ma.
international acm sigir conference on research and development in information retrieval (2004)

856 Citations

Cross-domain sentiment classification via spectral feature alignment

Sinno Jialin Pan;Xiaochuan Ni;Jian-Tao Sun;Qiang Yang.
the web conference (2010)

723 Citations

CubeSVD: a novel approach to personalized Web search

Jian-Tao Sun;Hua-Jun Zeng;Huan Liu;Yuchang Lu.
the web conference (2005)

453 Citations

How much can behavioral targeting help online advertising

Jun Yan;Ning Liu;Gang Wang;Wen Zhang.
the web conference (2009)

409 Citations

An evaluation on feature selection for text clustering

Tao Liu;Shengping Liu;Zheng Chen;Wei-Ying Ma.
international conference on machine learning (2003)

400 Citations

Document summarization using conditional random fields

Dou Shen;Jian-Tao Sun;Hua Li;Qiang Yang.
international joint conference on artificial intelligence (2007)

396 Citations

Media agent to suggest contextually related media content

Wen-Yin Liu;Hong-Jiang Zhang;Zheng Chen.
(2001)

370 Citations

Optimizing web search using web click-through data

Gui-Rong Xue;Hua-Jun Zeng;Zheng Chen;Yong Yu.
conference on information and knowledge management (2004)

332 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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