Shuk Ying Ho
- Sociology and Political Science top 1%
- Information Systems and Management top 0.5%
- Marketing top 1%
- Organizational Behavior and Human Resource Management top 2%
- Information Systems top 5%
- Co-authors
- Kar Yan TamDavid BodoffSai Ho KwokXinning XiaoPatrick Y.K. ChauKai H. LimArun RaiKevin K.W. Ho
- Topics
- Technology Adoption and User Behaviour (28 papers)Digital Marketing and Social Media (27 papers)Privacy, Security, and Data Protection (5 papers)
- Partner nations
- AustraliaHong KongUnited States
In The Last Decade
Shuk Ying Ho
50 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 90
- Sociology and Political Science 1.2k
- Information Systems and Management 852
- Marketing 659
- Organizational Behavior and Human Resource Management 301
- Information Systems 229
Countries citing papers authored by Shuk Ying Ho
This map shows the geographic impact of Shuk Ying Ho'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 Shuk Ying Ho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuk Ying Ho more than expected).
Fields of papers citing papers by Shuk Ying Ho
This network shows the impact of papers produced by Shuk Ying Ho. 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 Shuk Ying Ho. The network helps show where Shuk Ying Ho may publish in the future.
Co-authorship network of co-authors of Shuk Ying Ho
This figure shows the co-authorship network connecting the top 25 collaborators of Shuk Ying Ho. A scholar is included among the top collaborators of Shuk Ying Ho 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 Shuk Ying Ho. Shuk Ying Ho 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 | 4 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 18 | |
| 6 | 9 | |
| 7 | 49 | |
| 8 | Characteristics of Advertisements and Interactivity of Videos in Online Video Websites | 2 |
| 9 | 45 | |
| 10 | 38 | |
| 11 | ICT Business Case Approach in Public-Sector: A Case Study of the Australian Federal Government | 1 |
| 12 | 2 | |
| 13 | The effects of time and number of personalized items on USERS' amount of sampling | 2 |
| 14 | 12 | |
| 15 | 2 | |
| 16 | Opportunities and challenges of mobile personalization: an exploratory study | 9 |
| 17 | 2 | |
| 18 | Transaction-Driven Personalization: The Moderating Effects of Personality Traits | 1 |
| 19 | 268 | |
| 20 | 5 |
About Shuk Ying Ho
Shuk Ying Ho is a scholar working on Information Systems and Management, Communication and Marketing, having authored 51 papers that have together received 1.9k indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (28 papers), Digital Marketing and Social Media (27 papers) and Privacy, Security, and Data Protection (5 papers). The work is most often cited by research in Information Systems and Management (852 citations), Marketing (659 citations) and Communication (209 citations). Shuk Ying Ho has collaborated with scholars based in Australia, Hong Kong and United States. Frequent co-authors include Kar Yan Tam, David Bodoff, Sai Ho Kwok, Xinning Xiao, Patrick Y.K. Chau, Kai H. Lim, Arun Rai, Kevin K.W. Ho, Xitong Guo and Doug Vogel. Their work appears in journals such as MIS Quarterly, Journal of Business Ethics 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.