Shen Xu
- Computational Theory and Mathematics top 5%
- Artificial Intelligence top 10%
- Sociology and Political Science
- Computer Networks and Communications top 10%
- Organizational Behavior and Human Resource Management top 10%
- Co-authors
- Richard PengGary L. MillerJakub PachockiZhimin ZhouQiyuan ZhangCharalampos E. TsourakakisMichael MitzenmacherShaohan Cai
- Topics
- Complexity and Algorithms in Graphs (4 papers)Advanced Graph Theory Research (3 papers)Consumer Behavior in Brand Consumption and Identification (2 papers)
- Cited by
- Computational Theory and MathematicsOrganizational Behavior and Human Resource ManagementMarketing
- Journals
- Journal of the American Chemical SocietyJournal of Business ResearchIndustrial Marketing Management
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Shen Xu
13 papers receiving 340 citations
Peers
Comparison fields: 5 of 60
- Computational Theory and Mathematics 110
- Artificial Intelligence 99
- Sociology and Political Science 87
- Computer Networks and Communications 63
- Organizational Behavior and Human Resource Management 63
Countries citing papers authored by Shen Xu
This map shows the geographic impact of Shen Xu'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 Shen Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shen Xu more than expected).
Fields of papers citing papers by Shen Xu
This network shows the impact of papers produced by Shen Xu. 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 Shen Xu. The network helps show where Shen Xu may publish in the future.
Co-authorship network of co-authors of Shen Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Shen Xu. A scholar is included among the top collaborators of Shen Xu 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 Shen Xu. Shen Xu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 2 | |
| 4 | Interface capturing method based on Level Set with octree adaptive mesh technology | 1 |
| 5 | 10 | |
| 6 | 83 | |
| 7 | 24 | |
| 8 | 50 | |
| 9 | 33 | |
| 10 | 42 | |
| 11 | 95 | |
| 12 | 4 | |
| 13 | The Unified Model of Computer Architectures | 3 |
| 14 | The Classification Model of Computer Architectures | 2 |
About Shen Xu
Shen Xu is a scholar working on Marketing, Computational Theory and Mathematics and Strategy and Management, having authored 14 papers that have together received 354 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (4 papers), Advanced Graph Theory Research (3 papers) and Consumer Behavior in Brand Consumption and Identification (2 papers). The work is most often cited by research in Computational Theory and Mathematics (110 citations), Organizational Behavior and Human Resource Management (63 citations) and Marketing (53 citations). Shen Xu has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Richard Peng, Gary L. Miller, Jakub Pachocki, Zhimin Zhou, Qiyuan Zhang, Charalampos E. Tsourakakis, Michael Mitzenmacher, Shaohan Cai, Anup Rao and Michael B. Cohen. Their work appears in journals such as Journal of the American Chemical Society, Journal of Business Research and Industrial Marketing 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.