Yuanyuan Wu
- Sociology and Political Science top 5%
- Artificial Intelligence top 10%
- Information Systems top 5%
- Strategy and Management top 10%
- Marketing top 5%
- Topics
- Digital Marketing and Social Media (5 papers)Innovation and Knowledge Management (4 papers)Control and Dynamics of Mobile Robots (4 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Yuanyuan Wu
35 papers receiving 783 citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Sociology and Political Science 290
- Artificial Intelligence 172
- Information Systems 149
- Strategy and Management 136
- Marketing 129
Countries citing papers authored by Yuanyuan Wu
This map shows the geographic impact of Yuanyuan 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 Yuanyuan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuanyuan Wu more than expected).
Fields of papers citing papers by Yuanyuan Wu
This network shows the impact of papers produced by Yuanyuan 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 Yuanyuan Wu. The network helps show where Yuanyuan Wu may publish in the future.
Co-authorship network of co-authors of Yuanyuan Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Yuanyuan Wu. A scholar is included among the top collaborators of Yuanyuan Wu 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 Yuanyuan Wu. Yuanyuan Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 7 | |
| 3 | 2 | |
| 4 | 19 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 10 | |
| 9 | Fake online reviews: Literature review, synthesis, and directions for future researchbreakdown → | 236 |
| 10 | 38 | |
| 11 | 7 | |
| 12 | 7 | |
| 13 | 42 | |
| 14 | 1 | |
| 15 | EXPLORATION AND EXPLOITATION IN NEW VENTURES: COMBINING INTRA- AND INTER-ORGANIZATIONAL LEARNING FOR CAPABILITY DEVELOPMENT (SUMMARY) | 1 |
| 16 | Output feedback stabilization of nonholonomic systems with unknown time delays | 0 |
| 17 | Robust stabilization of nonholonomic systems with unknown time delays | 3 |
| 18 | 19 | |
| 19 | 12 | |
| 20 | Research on E-Business Use in Library Literature Acquisition under the Network Economy | 0 |
About Yuanyuan Wu
Yuanyuan Wu is a scholar working on Marketing, Computer Science Applications and Strategy and Management, having authored 39 papers that have together received 814 indexed citations. Recurring topics across this work include Digital Marketing and Social Media (5 papers), Innovation and Knowledge Management (4 papers) and Control and Dynamics of Mobile Robots (4 papers). The work is most often cited by research in Marketing (129 citations), Strategy and Management (136 citations) and Computer Science Applications (38 citations). Yuanyuan Wu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Eric W.T. Ngai, Pengkun Wu, Chong Wu, Yonggang Chen, Christian Keen, Yi He, Qingyun Xu, Dongxue Guo, Yuan He and Yuqiang Wu. Their work appears in journals such as Journal of Business Research, Journal of Hepatology and Annals of Oncology.
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.