Ying‐Chan Tang
- Marketing top 5%
- Sociology and Political Science top 10%
- Information Systems and Management top 5%
- Strategy and Management top 10%
- Organizational Behavior and Human Resource Management top 10%
- Topics
- Technology Adoption and User Behaviour (2 papers)Digital Marketing and Social Media (2 papers)Innovation and Knowledge Management (2 papers)
- Cited by
- MarketingInformation Systems and ManagementOrganizational Behavior and Human Resource Management
- Partner nations
- TaiwanUnited StatesSingapore
In The Last Decade
Ying‐Chan Tang
8 papers receiving 298 citations
Peers
Comparison fields: 5 of 62
- Marketing 166
- Sociology and Political Science 127
- Information Systems and Management 97
- Strategy and Management 70
- Organizational Behavior and Human Resource Management 61
Countries citing papers authored by Ying‐Chan Tang
This map shows the geographic impact of Ying‐Chan Tang'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 Ying‐Chan Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying‐Chan Tang more than expected).
Fields of papers citing papers by Ying‐Chan Tang
This network shows the impact of papers produced by Ying‐Chan Tang. 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 Ying‐Chan Tang. The network helps show where Ying‐Chan Tang may publish in the future.
Co-authorship network of co-authors of Ying‐Chan Tang
This figure shows the co-authorship network connecting the top 25 collaborators of Ying‐Chan Tang. A scholar is included among the top collaborators of Ying‐Chan Tang 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 Ying‐Chan Tang. Ying‐Chan Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | EXPLORING HETEROGENEITY OF DISTRIBUTION INTENSITY: EVIDENCE FROM EMERGING MARKET ENTRY EXPERIENCE WITH BENCHMARK BRANDS IN CHINA | 0 |
| 3 | 7 | |
| 4 | 65 | |
| 5 | 47 | |
| 6 | Asset-light business model: a theoretical framework for sustained competitive advantage | 6 |
| 7 | 11 | |
| 8 | The impact of trust on Web purchase intention | 1 |
| 9 | 193 |
About Ying‐Chan Tang
Ying‐Chan Tang is a scholar working on General Decision Sciences, Marketing and Information Systems and Management, having authored 9 papers that have together received 336 indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (2 papers), Digital Marketing and Social Media (2 papers) and Innovation and Knowledge Management (2 papers). The work is most often cited by research in Marketing (166 citations), Information Systems and Management (97 citations) and Organizational Behavior and Human Resource Management (61 citations). Ying‐Chan Tang has collaborated with scholars based in Taiwan, United States and Singapore. Frequent co-authors include Ah Keng Kau, Sanjoy Ghose, Fen‐May Liou, Yumei Wang, J. Sonia Huang, Chihpin Huang and Mei‐Fang Chen. Their work appears in journals such as Strategic Management Journal, Journal of Consumer Marketing and British Food Journal.
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.