H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 32 Citations 5,938 101 World Ranking 7095 National Ranking 672

Research.com Recognitions

Awards & Achievements

2010 - ACM Senior Member

Overview

What is he best known for?

The fields of study he is best known for:

  • The Internet
  • Artificial intelligence
  • World Wide Web

Michael Chau mainly investigates World Wide Web, Web mining, The Internet, Web page and Search engine. His research integrates issues of Precision and recall, Business intelligence and Data science in his study of World Wide Web. His studies deal with areas such as Computer security and Cybercrime as well as Data science.

His work carried out in the field of Web mining brings together such families of science as Social network analysis, Information extraction, Blogosphere, Web application and Popularity. His The Internet research integrates issues from Information retrieval and Homophone. His research integrates issues of Web search query and Web crawler in his study of Web page.

His most cited work include:

  • Crime data mining: a general framework and some examples (425 citations)
  • Mining communities and their relationships in blogs: A study of online hate groups (265 citations)
  • Business intelligence in blogs: understanding consumer interactions and communities (231 citations)

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

His primary scientific interests are in World Wide Web, Information retrieval, The Internet, Search engine and Web mining. His study in Web page, Search analytics, Metasearch engine, Semantic search and Web development is done as part of World Wide Web. His study in Information retrieval is interdisciplinary in nature, drawing from both Cluster analysis, Artificial intelligence and Natural language processing.

His The Internet research incorporates themes from Social media, Usability and Internet privacy. His research in Search engine intersects with topics in Data mining, Search engine indexing and Personalization. Michael Chau studied Web mining and Information extraction that intersect with Social network analysis.

He most often published in these fields:

  • World Wide Web (26.92%)
  • Information retrieval (18.59%)
  • The Internet (17.95%)

What were the highlights of his more recent work (between 2015-2020)?

  • Social media (6.41%)
  • Exploratory research (3.21%)
  • The Internet (17.95%)

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

His main research concerns Social media, Exploratory research, The Internet, Competition and Internet privacy. The study incorporates disciplines such as Clinical psychology and Artificial intelligence in addition to Social media. The Artificial intelligence study combines topics in areas such as Stockout, Machine learning, Product and Depression.

His The Internet research includes elements of Interactivity, Applied psychology and Revenue. His Internet privacy research includes themes of Social influence and Data science. His Self-efficacy research incorporates elements of Perceived control, Game based learning, Student engagement, Search engine and Control.

Between 2015 and 2020, his most popular works were:

  • Cheap Talk? The Impact of Lender-Borrower Communication on Peer-to-Peer Lending Outcomes (22 citations)
  • Engagement of vulnerable youths using internet platforms. (13 citations)
  • Are Sponsored Links Effective? Investigating the Impact of Trust in Search Engine Advertising (7 citations)

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

  • Artificial intelligence
  • The Internet
  • World Wide Web

The scientist’s investigation covers issues in Social media, Clinical psychology, Loan, The Internet and Context. Michael Chau has researched Social media in several fields, including Non-performing loan and Monetary economics. His Clinical psychology research integrates issues from Deep learning, Artificial intelligence and Depression.

His work carried out in the field of Loan brings together such families of science as Social influence, Information quality and Internet privacy. The concepts of his The Internet study are interwoven with issues in Social psychology, Cognition, Dimension, Advertising and Revenue. His Context research is multidisciplinary, relying on both Crowdsourcing and Brainstorming.

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

Crime data mining: a general framework and some examples

H. Chen;W. Chung;J.J. Xu;G. Wang.
IEEE Computer (2004)

648 Citations

Business intelligence in blogs: understanding consumer interactions and communities

Michael Chau;Jennifer Xu.
Management Information Systems Quarterly (2012)

421 Citations

Mining communities and their relationships in blogs: A study of online hate groups

Michael Chau;Jennifer Xu.
International Journal of Human-computer Studies / International Journal of Man-machine Studies (2007)

416 Citations

Efficient Clustering of Uncertain Data

Wang Ngai;Ben Kao;Chun Chui;Reynold Cheng.
international conference on data mining (2006)

340 Citations

A machine learning approach to web page filtering using content and structure analysis

Michael Chau;Hsinchun Chen.
decision support systems (2008)

288 Citations

Uncertain data mining: an example in clustering location data

Michael Chau;Reynold Cheng;Ben Kao;Jackey Ng.
knowledge discovery and data mining (2006)

261 Citations

CI Spider: a tool for competitive intelligence on the web

Hsinchun Chen;Michael Chau;Daniel Zeng.
decision support systems (2002)

240 Citations

Assessing Censorship on Microblogs in China: Discriminatory Keyword Analysis and the Real-Name Registration Policy

King-wa Fu;Chung-hong Chan;Michael Chau.
IEEE Internet Computing (2013)

237 Citations

Extracting meaningful entities from police narrative reports

Michael Chau;Jennifer J. Xu;Hsinchun Chen.
international conference on digital government research (2002)

200 Citations

Design and evaluation of a multi-agent collaborative Web mining system

Michael Chau;Daniel Zeng;Hsinchun Chen;Michael Huang.
decision support systems (2003)

154 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

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