World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
7589
World Ranking
9235
National Ranking
1173

Research.com Recognitions

  • 2010 - ACM Senior Member

Overview

Michael Chau is affiliated with the University of Hong Kong in China. Their research spans multiple intersecting fields including Business, Management and Accounting, Computer Science, and Social Sciences. Chau's body of work includes a significant focus on subfields such as Sociology and Political Science, Artificial Intelligence, Marketing, Management Information Systems, and Information Systems.

Their contributions cover several key research topics:

  • Digital Marketing and Social Media
  • Consumer Market Behavior and Pricing
  • Digital Platforms and Economics
  • Technology Adoption and User Behaviour
  • Open Source Software Innovations
  • Big Data and Business Intelligence
  • Sentiment Analysis and Opinion Mining

Chau's recent papers include the following:

  • Finding People with Emotional Distress in Online Social Media: A Design Combining Machine Learning and Rule-Based Classification, 2020, MIS Quarterly
  • The Effect of the Expressed Anger and Sadness on Online News Believability, 2021, Journal of Management Information Systems
  • Defining online to offline (O2O): a systematic approach to defining an emerging business model, 2022, Internet Research
  • Peer-to-Peer Loan Fraud Detection: Constructing Features from Transaction Data, 2022, MIS Quarterly
  • Using the Anchoring Effect and the Cultural Dimensions Theory to Study Customers' Online Rating Behaviors, 2021, Information Systems Frontiers

Frequent co-authors collaborating with Chau include:

  • Philip Tin Yun Lee
  • Daning Hu
  • Dongjun Wei
  • Jennifer Xu
  • Solomon Dawson

Michael Chau has published extensively in several venues, with the most frequent outlets being:

  • MIS Quarterly
  • Information Systems Frontiers
  • Journal of the American Society of Nephrology
  • Internet Research
  • Information & Management

Their work includes contributions to both theoretical and applied aspects of information systems, leveraging techniques from artificial intelligence and data analysis to address challenges in social media, consumer behavior, and digital platform dynamics.

In recognition of professional contributions, Michael Chau was awarded the ACM Senior Member distinction in 2010.

Best Publications

  • Crime data mining: a general framework and some examples

    H. Chen;W. Chung;J.J. Xu;G. Wang

  • Business intelligence in blogs: understanding consumer interactions and communities

    Michael Chau;Jennifer Xu

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

    Michael Chau;Jennifer Xu

  • Efficient Clustering of Uncertain Data

    Wang Ngai;Ben Kao;Chun Chui;Reynold Cheng

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

    Michael Chau;Hsinchun Chen

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

    King-wa Fu;Chung-hong Chan;Michael Chau

  • Uncertain data mining: an example in clustering location data

    Michael Chau;Reynold Cheng;Ben Kao;Jackey Ng

  • CI Spider: a tool for competitive intelligence on the web

    Hsinchun Chen;Michael Chau;Daniel Zeng

  • Customer revisit intention to restaurants: Evidence from online reviews

    Xiangbin Yan;Jing Wang;Michael Chau

  • Extracting meaningful entities from police narrative reports

    Michael Chau;Jennifer J. Xu;Hsinchun Chen

  • Reality check for the Chinese microblog space: a random sampling approach.

    King-wa Fu;Michael Chau

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

    Michael Chau;Daniel Zeng;Hsinchun Chen;Michael Huang

  • Crime data mining: an overview and case studies

    Hsinchun Chen;Wingyan Chung;Yi Qin;Michael Chau

  • Analysis of the query logs of a web site search engine

    Michael Chau;Xiao Fang;Olivia R. Liu Sheng

  • Web mining: Machine learning for web applications

    Hsinchun Chen;Michael Chau

  • Using 3D virtual environments to facilitate students in constructivist learning

    Michael Chau;Ada Wong;Minhong Wang;Songnia Lai

  • Comparison of three vertical search spiders

    M. Chau;Hsinchun Chen

  • MetaSpider: Meta-Searching and Categorization on the Web

    Hsinchun Chen;Haiyan Fan;Michael Chau;Daniel Dajun Zeng

  • Building domain-specific Web collections for scientific digital libraries: a meta-search enhanced focused crawling method

    Jialun Qin;Yilu Zhou;Michael Chau

  • Evaluation of a Web-based social network electronic game in enhancing mental health literacy for young people.

    Tim M H Li;Michael Chau;Paul W C Wong;Eliza S Y Lai

  • Personalized spiders for web search and analysis

    Michael Chau;Daniel Zeng;Hinchun Chen

Frequent Co-Authors

Hsinchun Chen
Hsinchun Chen University of Arizona
Daniel Zeng
Daniel Zeng Chinese Academy of Sciences
Christopher C. Yang
Christopher C. Yang Drexel University
Paul S. F. Yip
Paul S. F. Yip University of Hong Kong
King-Wa Fu
King-Wa Fu University of Hong Kong
Fei-Yue Wang
Fei-Yue Wang Chinese Academy of Sciences
Reynold Cheng
Reynold Cheng University of Hong Kong
Ben Kao
Ben Kao University of Hong Kong
J. Leon Zhao
J. Leon Zhao Chinese University of Hong Kong, Shenzhen
Cecilia Cheng
Cecilia Cheng University of Hong Kong

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