Michael Tow Cheung
- Information Systems and Management top 0.2%
- Sociology and Political Science top 2%
- Organizational Behavior and Human Resource Management top 2%
- Marketing top 2%
- Strategy and Management top 5%
- Co-authors
- Ziqi LiaoZehuan LiaoYelin FuKin Keung LaiJoseph TanLoretta Yin-Chun YamCalvin Kalun OrMike K. P. So
- Topics
- Technology Adoption and User Behaviour (7 papers)Customer Service Quality and Loyalty (4 papers)Digital Platforms and Economics (3 papers)
In The Last Decade
Michael Tow Cheung
19 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Information Systems and Management 973
- Sociology and Political Science 647
- Organizational Behavior and Human Resource Management 488
- Marketing 479
- Strategy and Management 217
Countries citing papers authored by Michael Tow Cheung
This map shows the geographic impact of Michael Tow Cheung'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 Tow Cheung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Tow Cheung more than expected).
Fields of papers citing papers by Michael Tow Cheung
This network shows the impact of papers produced by Michael Tow Cheung. 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 Tow Cheung. The network helps show where Michael Tow Cheung may publish in the future.
Co-authorship network of co-authors of Michael Tow Cheung
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Tow Cheung. A scholar is included among the top collaborators of Michael Tow Cheung based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael Tow Cheung. Michael Tow Cheung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 46 | |
| 3 | 15 | |
| 4 | 3 | |
| 5 | 5 | |
| 6 | 2 | |
| 7 | 6 | |
| 8 | 90 | |
| 9 | 12 | |
| 10 | 1 | |
| 11 | 0 | |
| 12 | 2 | |
| 13 | 45 | |
| 14 | Internet-based e-banking and consumer attitudes: an empirical studybreakdown → | 764 |
| 15 | 17 | |
| 16 | 342 | |
| 17 | The Convergent-Concurrent Approach to IT Consulting | 1 |
| 18 | Cyber-Banking in Hong Kong: Development and Challenges | 2 |
| 19 | Microeconomic Analytics: A Vade Mecum for Students Reading Modern Economics | 1 |
| 20 | 1 |
About Michael Tow Cheung
Michael Tow Cheung is a scholar working on Information Systems and Management, Finance and Strategy and Management, having authored 22 papers that have together received 1.4k indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (7 papers), Customer Service Quality and Loyalty (4 papers) and Digital Platforms and Economics (3 papers). The work is most often cited by research in Information Systems and Management (973 citations), Marketing (479 citations) and Organizational Behavior and Human Resource Management (488 citations). Michael Tow Cheung has collaborated with scholars based in Hong Kong, China and Australia. Frequent co-authors include Ziqi Liao, Zehuan Liao, Yelin Fu, Kin Keung Lai, Joseph Tan, Loretta Yin-Chun Yam, Calvin Kalun Or, Mike K. P. So, Kaifeng Liu and Bernard M.Y. Cheung. Their work appears in journals such as Communications of the ACM, Journal of Medical Internet Research and Information & Management.
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.