Xiaowei Ying
Impact in
- Artificial Intelligence top 2%
- Privacy-Preserving Technologies in Data
- Internet Traffic Analysis and Secure E-voting
- Cryptography and Data Security
- Advanced Graph Neural Networks
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
Papers in
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- Complex Network Analysis Techniques 8
- Opinion Dynamics and Social Influence 4
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- Privacy-Preserving Technologies in Data 8
- Internet Traffic Analysis and Secure E-voting 6
- Co-authors
- Xintao Wu (17 shared papers)Lei Chen (1 shared paper)Kun Liu (1 shared paper)Ling Guo (2 shared papers)Kai Pan (1 shared paper)Daniel Barbará (1 shared paper)Zhi‐Hua Zhou (2 shared papers)Aidong Lu (3 shared papers)
- Journals
- Knowledge and Information Systems (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)Lecture notes in computer science (3 papers)International Joint Conference on Artificial Intelligence (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Xiaowei Ying
17 papers receiving 713 citations
Peers
Comparison fields: 5 of 50
- Artificial Intelligence 628
- Statistical and Nonlinear Physics 185
- Sociology and Political Science 387
- Computer Science Applications 44
- Information Systems 91
Countries citing papers authored by Xiaowei Ying
This map shows the geographic impact of Xiaowei Ying'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 Xiaowei Ying with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaowei Ying more than expected).
Fields of papers citing papers by Xiaowei Ying
This network shows the impact of papers produced by Xiaowei Ying. 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 Xiaowei Ying. The network helps show where Xiaowei Ying may publish in the future.
Co-authors
The 11 scholars most cited alongside Xiaowei Ying, 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 | 2008 | 249 | |
| 2 | 2010 | 98 | |
| 3 | 2009 | 67 | |
| 4 | 2009 | 53 | |
| 5 | 2009 | 53 | |
| 6 | 2010 | 49 | |
| 7 | 2011 | 37 | |
| 8 | 2011 | 25 | |
| 9 | 2010 | 23 | |
| 10 | 2011 | 22 | |
| 11 | 2009 | 22 | |
| 12 | 2010 | 13 | |
| 13 | 2012 | 12 | |
| 14 | 2010 | 11 | |
| 15 | 2010 | 7 | |
| 16 | 2010 | 7 | |
| 17 | 2013 | 7 |
About Xiaowei Ying
Xiaowei Ying is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence, Geometry and Topology, Computer Science Applications and Computer Networks and Communications, having authored 17 papers that have together received 755 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (8 papers), Complex Network Analysis Techniques (8 papers), Internet Traffic Analysis and Secure E-voting (6 papers), Opinion Dynamics and Social Influence (4 papers), Graph theory and applications (4 papers), Privacy, Security, and Data Protection (4 papers), Network Security and Intrusion Detection (3 papers) and Mobile Crowdsensing and Crowdsourcing (3 papers). The work is most often cited by research in Artificial Intelligence (628 citations), Statistical and Nonlinear Physics (185 citations), Sociology and Political Science (387 citations), Computer Science Applications (44 citations) and Information Systems (91 citations). Xiaowei Ying has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Xintao Wu, Lei Chen, Kun Liu, Ling Guo, Kai Pan, Daniel Barbará, Zhi‐Hua Zhou, Aidong Lu, Lane Harrison and Zhi Zhou. Their work appears in journals such as Knowledge and Information Systems, IEEE Transactions on Knowledge and Data Engineering, Lecture notes in computer science and International Joint Conference on Artificial Intelligence.
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.