Mu Wu
Impact in
- Marketing top 5%
- Consumer Behavior in Brand Consumption and Identification
- Human-Computer Interaction top 5%
Papers in
-
- Impact of Technology on Adolescents 3
- Misinformation and Its Impacts 3
- Social and Intergroup Psychology 2
- Digital Marketing and Social Media 2
-
- Motivation and Self-Concept in Sports 2
- Co-authors
- S. Shyam Sundar (5 shared papers)Daniel J. Tamul (1 shared paper)Eun Go (3 shared papers)Eun Hwa Jung (1 shared paper)Hyunjin Kang (2 shared papers)Hsin Rau (2 shared papers)Hui‐Ming Wee (2 shared papers)Haiyan Jia (4 shared papers)
- Journals
- Journal of Media Psychology Theories Methods and Applications (1 paper)Computers in Human Behavior (1 paper)Journal of Computer-Mediated Communication (1 paper)AI & Society (1 paper)American Behavioral Scientist (1 paper)
- Partner nations
- United StatesTaiwanChina
In The Last Decade
Mu Wu
17 papers receiving 502 citations
Peers
Comparison fields: 5 of 67
- Marketing 145
- Human-Computer Interaction 69
- Information Systems and Management 82
- Communication 56
- Sociology and Political Science 326
Countries citing papers authored by Mu Wu
This map shows the geographic impact of Mu 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 Mu Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mu Wu more than expected).
Fields of papers citing papers by Mu Wu
This network shows the impact of papers produced by Mu 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 Mu Wu. The network helps show where Mu Wu may publish in the future.
Co-authors
The 24 scholars most cited alongside Mu 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
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 159 | |
| 2 | 2016 | 77 | |
| 3 | 2014 | 54 | |
| 4 | 2013 | 45 | |
| 5 | 2004 | 41 | |
| 6 | 2012 | 33 | |
| 7 | 2014 | 32 | |
| 8 | 2014 | 31 | |
| 9 | 2013 | 15 | |
| 10 | 2024 | 14 | |
| 11 | 2023 | 11 | |
| 12 | 2013 | 5 | |
| 13 | Actionable information delivery | 2004 | 4 |
| 14 | 2024 | 4 | |
| 15 | 2024 | 3 | |
| 16 | 2022 | 1 | |
| 17 | 2005 | 1 | |
| 18 | 2020 | 0 | |
| 19 | Fighting death: The effects of punitive difficulty on video game enjoyment, immersion and need satisfaction | 2012 | 0 |
About Mu Wu
Mu Wu is a scholar working on Sociology and Political Science, Social Psychology, Literature and Literary Theory, Human-Computer Interaction and Communication, having authored 19 papers that have together received 530 indexed citations. Recurring topics across this work include Media Influence and Health (4 papers), Impact of Technology on Adolescents (3 papers), Misinformation and Its Impacts (3 papers), Behavioral Health and Interventions (2 papers), Virtual Reality Applications and Impacts (2 papers), Motivation and Self-Concept in Sports (2 papers), Social and Intergroup Psychology (2 papers) and Digital Marketing and Social Media (2 papers). The work is most often cited by research in Marketing (145 citations), Human-Computer Interaction (69 citations), Information Systems and Management (82 citations), Communication (56 citations) and Sociology and Political Science (326 citations). Mu Wu has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include S. Shyam Sundar, Daniel J. Tamul, Eun Go, Eun Hwa Jung, Hyunjin Kang, Hsin Rau, Hui‐Ming Wee, Haiyan Jia, Fan Yang and Ruobing Li. Their work appears in journals such as Journal of Media Psychology Theories Methods and Applications, Computers in Human Behavior, Journal of Computer-Mediated Communication, AI & Society and American Behavioral Scientist.
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.