Don Wu
Impact in
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- Wine Industry and Tourism
- Human-Computer Interaction top 10%
- Virtual Reality Applications and Impacts
Papers in
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- Diverse Aspects of Tourism Research 10
- Sport and Mega-Event Impacts 6
- Digital Marketing and Social Media 4
- Co-authors
- Kaijian He (9 shared papers)Kwok Fai Tso (3 shared papers)Lei Ji (2 shared papers)Fiona X. Yang (1 shared paper)IpKin Anthony Wong (1 shared paper)Lawrence Hoc Nang Fong (2 shared papers)Chris Zhu (4 shared papers)C. Michael Hall (1 shared paper)
In The Last Decade
Don Wu
21 papers receiving 354 citations
Peers
Comparison fields: 5 of 77
- Tourism, Leisure and Hospitality Management 45
- Human-Computer Interaction 47
- Marketing 65
- Sociology and Political Science 211
- Management Science and Operations Research 56
Countries citing papers authored by Don Wu
This map shows the geographic impact of Don Wu'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 Don Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Don Wu more than expected).
Fields of papers citing papers by Don Wu
This network shows the impact of papers produced by Don Wu. 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 Don Wu. The network helps show where Don Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Don Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 92 | |
| 2 | 2021 | 86 | |
| 3 | 2023 | 57 | |
| 4 | 2020 | 55 | |
| 5 | 2022 | 22 | |
| 6 | 2019 | 8 | |
| 7 | 2023 | 7 | |
| 8 | 2023 | 6 | |
| 9 | 2022 | 5 | |
| 10 | 2024 | 4 | |
| 11 | 2024 | 4 | |
| 12 | 2022 | 3 | |
| 13 | 2023 | 3 | |
| 14 | 2023 | 2 | |
| 15 | 2024 | 2 | |
| 16 | 2010 | 2 | |
| 17 | 2023 | 2 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2025 | 1 |
About Don Wu
Don Wu is a scholar working on Sociology and Political Science, Marketing, Management Science and Operations Research, Economics and Econometrics and Organizational Behavior and Human Resource Management, having authored 25 papers that have together received 364 indexed citations. Recurring topics across this work include Diverse Aspects of Tourism Research (10 papers), Sport and Mega-Event Impacts (6 papers), Virtual Reality Applications and Impacts (4 papers), Digital Marketing and Social Media (4 papers), Energy Load and Power Forecasting (3 papers), Stock Market Forecasting Methods (3 papers), Culinary Culture and Tourism (3 papers) and Customer Service Quality and Loyalty (3 papers). The work is most often cited by research in Tourism, Leisure and Hospitality Management (45 citations), Human-Computer Interaction (47 citations), Marketing (65 citations), Sociology and Political Science (211 citations) and Management Science and Operations Research (56 citations). Don Wu has collaborated with scholars based in China, Macao and Hong Kong. Frequent co-authors include Kaijian He, Kwok Fai Tso, Lei Ji, Fiona X. Yang, IpKin Anthony Wong, Lawrence Hoc Nang Fong, Chris Zhu, C. Michael Hall, Sara Naderi Koupaei and Yingchao Zou. Their work appears in journals such as Current Issues in Tourism, Journal of Travel & Tourism Marketing, Journal of China Tourism Research, Event Management and Journal of Hospitality and Tourism 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.