Michael Chau
Impact in
- Information Systems top 0.5%
- Web Data Mining and Analysis
- Data Mining Algorithms and Applications
- Spam and Phishing Detection
- Communication top 1%
Papers in
-
- Web Data Mining and Analysis 38
- Information Retrieval and Search Behavior 15
- Web visibility and informetrics 10
- Co-authors
- Jennifer Xu (22 shared papers)Hsinchun Chen (31 shared papers)King‐Wa Fu (5 shared papers)Daniel Dajun Zeng (12 shared papers)Yi Qin (4 shared papers)Gang Alan Wang (5 shared papers)Wingyan Chung (2 shared papers)Ben Kao (4 shared papers)
- Journals
- Journal of the Association for Information Systems (20 papers)Decision Support Systems (10 papers)Information Systems Frontiers (6 papers)MIS Quarterly (5 papers)ACM Transactions on Management Information Systems (4 papers)
- Partner nations
- Hong KongUnited StatesChina
In The Last Decade
Michael Chau
163 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 151
- Information Systems 1.6k
- Communication 421
- Artificial Intelligence 1.5k
- Signal Processing 444
- Information Systems and Management 263
Countries citing papers authored by Michael Chau
This map shows the geographic impact of Michael Chau's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael Chau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Chau more than expected).
Fields of papers citing papers by Michael Chau
This network shows the impact of papers produced by Michael Chau. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael Chau. The network helps show where Michael Chau may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Chau, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 169 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 402 | |
| 2 | 2012 | 273 | |
| 3 | 2006 | 239 | |
| 4 | 2006 | 158 | |
| 5 | 2013 | 153 | |
| 6 | 2006 | 148 | |
| 7 | 2013 | 139 | |
| 8 | 2014 | 136 | |
| 9 | 2002 | 125 | |
| 10 | 2007 | 118 | |
| 11 | 2002 | 103 | |
| 12 | 2013 | 82 | |
| 13 | 2013 | 75 | |
| 14 | 2003 | 75 | |
| 15 | 2018 | 74 | |
| 16 | 2005 | 73 | |
| 17 | 2001 | 71 | |
| 18 | 2004 | 71 | |
| 19 | 2020 | 70 | |
| 20 | 2013 | 69 |
About Michael Chau
Michael Chau is a scholar working on Information Systems, Communication, Artificial Intelligence, Information Systems and Management and Statistical and Nonlinear Physics, having authored 169 papers that have together received 4.4k indexed citations. Recurring topics across this work include Web Data Mining and Analysis (38 papers), Digital Marketing and Social Media (17 papers), Complex Network Analysis Techniques (17 papers), Information Retrieval and Search Behavior (15 papers), Technology Adoption and User Behaviour (14 papers), Advanced Text Analysis Techniques (12 papers), Web visibility and informetrics (10 papers) and Text and Document Classification Technologies (10 papers). The work is most often cited by research in Information Systems (1.6k citations), Communication (421 citations), Artificial Intelligence (1.5k citations), Signal Processing (444 citations) and Information Systems and Management (263 citations). Michael Chau has collaborated with scholars based in Hong Kong, United States and China. Frequent co-authors include Jennifer Xu, Hsinchun Chen, King‐Wa Fu, Daniel Dajun Zeng, Yi Qin, Gang Alan Wang, Wingyan Chung, Ben Kao, Chun Kong Cheng and Tim M. H. Li. Their work appears in journals such as Journal of the Association for Information Systems, Decision Support Systems, Information Systems Frontiers, MIS Quarterly and ACM Transactions on Management Information Systems.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.