Ming-Chun Tsai
- Organizational Behavior and Human Resource Management top 5%
- Marketing top 5%
- Sociology and Political Science
- Information Systems and Management top 10%
- Artificial Intelligence
- Co-authors
- Shu-Ping LinChing‐Chan ChengYa-Hui ChanYa-Yuan ChangChung‐Cheng ChenHung‐Che WuChien‐Chih LinNguyen Huy Xuong
- Topics
- Customer Service Quality and Loyalty (17 papers)Consumer Retail Behavior Studies (7 papers)Technology Adoption and User Behaviour (6 papers)
- Cited by
- Organizational Behavior and Human Resource ManagementMarketingTourism, Leisure and Hospitality Management
In The Last Decade
Ming-Chun Tsai
21 papers receiving 367 citations
Peers
Comparison fields: 5 of 80
- Organizational Behavior and Human Resource Management 179
- Marketing 114
- Sociology and Political Science 84
- Information Systems and Management 57
- Artificial Intelligence 48
Countries citing papers authored by Ming-Chun Tsai
This map shows the geographic impact of Ming-Chun Tsai'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 Ming-Chun Tsai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming-Chun Tsai more than expected).
Fields of papers citing papers by Ming-Chun Tsai
This network shows the impact of papers produced by Ming-Chun Tsai. 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 Ming-Chun Tsai. The network helps show where Ming-Chun Tsai may publish in the future.
Co-authorship network of co-authors of Ming-Chun Tsai
This figure shows the co-authorship network connecting the top 25 collaborators of Ming-Chun Tsai. A scholar is included among the top collaborators of Ming-Chun Tsai 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 Ming-Chun Tsai. Ming-Chun Tsai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 4 | |
| 8 | 48 | |
| 9 | 5 | |
| 10 | 21 | |
| 11 | 19 | |
| 12 | 9 | |
| 13 | 3 | |
| 14 | 6 | |
| 15 | 52 | |
| 16 | 27 | |
| 17 | 22 | |
| 18 | 89 | |
| 19 | 0 | |
| 20 | 1 |
About Ming-Chun Tsai
Ming-Chun Tsai is a scholar working on Tourism, Leisure and Hospitality Management, Organizational Behavior and Human Resource Management and Marketing, having authored 25 papers that have together received 404 indexed citations. Recurring topics across this work include Customer Service Quality and Loyalty (17 papers), Consumer Retail Behavior Studies (7 papers) and Technology Adoption and User Behaviour (6 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (179 citations), Marketing (114 citations) and Tourism, Leisure and Hospitality Management (18 citations). Ming-Chun Tsai has collaborated with scholars based in Taiwan, China and Canada. Frequent co-authors include Shu-Ping Lin, Ching‐Chan Cheng, Ya-Hui Chan, Ya-Yuan Chang, Chung‐Cheng Chen, Hung‐Che Wu, Chien‐Chih Lin, Nguyen Huy Xuong, Hung‐Lin Fu and Fan Hsu. Their work appears in journals such as Expert Systems with Applications, Sustainability and International Journal of Hospitality 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.