H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 104 Citations 68,137 326 World Ranking 121 National Ranking 16

Research.com Recognitions

Awards & Achievements

2015 - ACM Fellow For contributions to knowledge discovery and data mining, opinion mining, and sentiment analysis.

2014 - IEEE Fellow For contributions to data mining

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Statistics

His main research concerns Artificial intelligence, Sentiment analysis, Information retrieval, Data mining and Machine learning. His work deals with themes such as Set and Natural language processing, which intersect with Artificial intelligence. Bing Liu interconnects Task, Sentence, Social media, Key and Automatic summarization in the investigation of issues within Sentiment analysis.

His biological study spans a wide range of topics, including Customer reviews and Data science. His Information retrieval research includes elements of Domain, Language model, Spamming, Rank and Domain knowledge. His Data mining study combines topics in areas such as Web page, Web mining and Cluster analysis.

His most cited work include:

  • Mining and summarizing customer reviews (5265 citations)
  • Top 10 algorithms in data mining (3313 citations)
  • Integrating classification and association rule mining (1964 citations)

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

Artificial intelligence, Sentiment analysis, Data mining, Machine learning and Information retrieval are his primary areas of study. The study incorporates disciplines such as Domain, Task and Natural language processing in addition to Artificial intelligence. His studies deal with areas such as Sentence, Key and Data science as well as Sentiment analysis.

His research is interdisciplinary, bridging the disciplines of Cluster analysis and Data mining. His work on Semi-supervised learning as part of general Machine learning research is frequently linked to Lifelong learning, thereby connecting diverse disciplines of science. His Information retrieval research incorporates themes from Web page and Set.

He most often published in these fields:

  • Artificial intelligence (31.67%)
  • Sentiment analysis (16.19%)
  • Data mining (15.30%)

What were the highlights of his more recent work (between 2018-2021)?

  • Artificial intelligence (31.67%)
  • Task (10.32%)
  • Sentiment analysis (16.19%)

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

Bing Liu mainly investigates Artificial intelligence, Task, Sentiment analysis, Natural language processing and Human–computer interaction. The various areas that Bing Liu examines in his Artificial intelligence study include Machine learning, Knowledge transfer and Pattern recognition. Bing Liu has researched Task in several fields, including Context, State and Process.

Bing Liu has included themes like Language model, Sequence labeling, Information retrieval and Domain in his Sentiment analysis study. His Natural language processing research includes themes of Range, Control and Variation. The concepts of his Human–computer interaction study are interwoven with issues in Quality, Task oriented, Conversation and Key.

Between 2018 and 2021, his most popular works were:

  • BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis (137 citations)
  • A study of graph-based system for multi-view clustering (90 citations)
  • GMC: Graph-Based Multi-View Clustering (58 citations)

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

  • Artificial intelligence
  • Machine learning
  • Statistics

Bing Liu mainly focuses on Artificial intelligence, Sentiment analysis, Supersonic speed, Reading comprehension and Language model. Bing Liu has included themes like Machine learning, SIMPLE and Natural language processing in his Artificial intelligence study. His study in Machine learning focuses on Supervised learning in particular.

His studies deal with areas such as Classifier, Weighting, Recurrent neural network and Task as well as Natural language processing. Bing Liu works mostly in the field of Sentiment analysis, limiting it down to topics relating to Representation and, in certain cases, Feature and Algorithm. His biological study deals with issues like Information retrieval, which deal with fields such as Code.

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

Mining and summarizing customer reviews

Minqing Hu;Bing Liu.
knowledge discovery and data mining (2004)

7693 Citations

Top 10 algorithms in data mining

Xindong Wu;Vipin Kumar;J. Ross Quinlan;Joydeep Ghosh.
Knowledge and Information Systems (2007)

5181 Citations

Integrating classification and association rule mining

Bing Liu;Wynne Hsu;Yiming Ma.
knowledge discovery and data mining (1998)

3275 Citations

Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data

Bing Liu.
(2009)

3179 Citations

Opinion observer: analyzing and comparing opinions on the Web

Bing Liu;Minqing Hu;Junsheng Cheng.
the web conference (2005)

2180 Citations

Mining opinion features in customer reviews

Minqing Hu;Bing Liu.
national conference on artificial intelligence (2004)

1852 Citations

A holistic lexicon-based approach to opinion mining

Xiaowen Ding;Bing Liu;Philip S. Yu.
web search and data mining (2008)

1542 Citations

Sentiment Analysis and Subjectivity

Bing Liu.
Handbook of Natural Language Processing (2010)

1521 Citations

Opinion spam and analysis

Nitin Jindal;Bing Liu.
web search and data mining (2008)

1493 Citations

A Survey of Opinion Mining and Sentiment Analysis

Bing Liu;Lei Zhang.
Mining Text Data (2012)

1231 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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Contact us

Top Scientists Citing Bing Liu

Philip S. Yu

Philip S. Yu

University of Illinois at Chicago

Publications: 116

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Erik Cambria

Nanyang Technological University

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Jiawei Han

University of Illinois at Urbana-Champaign

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Yuefeng Li

Yuefeng Li

Queensland University of Technology

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Francisco Herrera

Francisco Herrera

University of Granada

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Wei-Ying Ma

Wei-Ying Ma

Tsinghua University

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Chengqi Zhang

Chengqi Zhang

University of Technology Sydney

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Xindong Wu

Xindong Wu

Hefei University of Technology

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Amir Hussain

Amir Hussain

Edinburgh Napier University

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Osmar R. Zaïane

Osmar R. Zaïane

University of Alberta

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Saif M. Mohammad

Saif M. Mohammad

National Research Council Canada

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Huan Liu

Huan Liu

Arizona State University

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Tzung-Pei Hong

Tzung-Pei Hong

National University of Kaohsiung

Publications: 37

Ting Liu

Ting Liu

Harbin Institute of Technology

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Soujanya Poria

Soujanya Poria

Singapore University of Technology and Design

Publications: 36

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