World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
7589
World Ranking
9234
National Ranking
1173

Michael Chau publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Michael Chau sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 155 publications — 29th percentile

29% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Michael Chau D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Michael Chau sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 40 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

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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