Weiyin Hong
- Information Systems and Management top 0.2%
- Sociology and Political Science top 2%
- Marketing top 2%
- Information Systems top 2%
- Management Information Systems top 2%
- Co-authors
- James Y.L. ThongKar Yan TamGurpreet DhillonLewis C. ChasalowKevin ZhuFrank K. Y. ChanAndrew HardinTraci J. Hess
- Topics
- Technology Adoption and User Behaviour (14 papers)Digital Marketing and Social Media (13 papers)Knowledge Management and Sharing (6 papers)
- Partner nations
- Hong KongUnited StatesFrance
In The Last Decade
Weiyin Hong
22 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Information Systems and Management 1.0k
- Sociology and Political Science 897
- Marketing 297
- Information Systems 272
- Management Information Systems 248
Countries citing papers authored by Weiyin Hong
This map shows the geographic impact of Weiyin Hong'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 Weiyin Hong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiyin Hong more than expected).
Fields of papers citing papers by Weiyin Hong
This network shows the impact of papers produced by Weiyin Hong. 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 Weiyin Hong. The network helps show where Weiyin Hong may publish in the future.
Co-authorship network of co-authors of Weiyin Hong
This figure shows the co-authorship network connecting the top 25 collaborators of Weiyin Hong. A scholar is included among the top collaborators of Weiyin Hong 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 Weiyin Hong. Weiyin Hong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 1 | |
| 3 | 76 | |
| 4 | 5 | |
| 5 | 35 | |
| 6 | A Framework and Guidelines for Context-Specific Theorizing in Information Systems Research | 2 |
| 7 | A Framework and Guidelines for Context-Specific Theorizing in Information Systems Researchbreakdown → | 480 |
| 8 | 57 | |
| 9 | 1 | |
| 10 | 169 | |
| 11 | User Acceptance of Agile Information Systems: A Model and Empirical Test | 8 |
| 12 | 6 | |
| 13 | 35 | |
| 14 | Does Animation Attract Online Users' Attention? The Effects of Flash on Information Search Performance and Perceptions | 0 |
| 15 | 18 | |
| 16 | 277 | |
| 17 | 203 | |
| 18 | 76 | |
| 19 | 25 | |
| 20 | 8 |
About Weiyin Hong
Weiyin Hong is a scholar working on Information Systems and Management, Communication and Marketing, having authored 23 papers that have together received 1.9k indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (14 papers), Digital Marketing and Social Media (13 papers) and Knowledge Management and Sharing (6 papers). The work is most often cited by research in Information Systems and Management (1.0k citations), Marketing (297 citations) and Communication (223 citations). Weiyin Hong has collaborated with scholars based in Hong Kong, United States and France. Frequent co-authors include James Y.L. Thong, Kar Yan Tam, Gurpreet Dhillon, Lewis C. Chasalow, Kevin Zhu, Frank K. Y. Chan, Andrew Hardin, Traci J. Hess, Gurvirender Tejay and Fiona Fui‐Hoon Nah. Their work appears in journals such as Communications of the ACM, MIS Quarterly and Journal of Business Ethics.
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.