Xiaowei Ying
Impact in
- Artificial Intelligence top 5%
- Privacy-Preserving Technologies in Data
- Internet Traffic Analysis and Secure E-voting
- Cryptography and Data Security
- Advanced Graph Neural Networks
-
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
Papers in
-
- Privacy-Preserving Technologies in Data 5
- Internet Traffic Analysis and Secure E-voting 5
-
- Complex Network Analysis Techniques 7
- Opinion Dynamics and Social Influence 4
- Co-authors
- Xintao Wu (13 shared papers)Ling Guo (2 shared papers)Kai Pan (1 shared paper)Daniel Barbará (1 shared paper)Zhi‐Hua Zhou (1 shared paper)Aidong Lu (2 shared papers)Zhi Zhou (1 shared paper)Lane Harrison (1 shared paper)
- Journals
- Knowledge and Information Systems (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)International Joint Conference on Artificial Intelligence (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Xiaowei Ying
13 papers receiving 434 citations
Peers
Comparison fields: 5 of 46
- Artificial Intelligence 372
- Statistical and Nonlinear Physics 113
- Sociology and Political Science 232
- Computer Science Applications 25
- Information Systems 70
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 8 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 | 205 | |
| 2 | 2009 | 51 | |
| 3 | 2009 | 41 | |
| 4 | 2010 | 40 | |
| 5 | 2011 | 28 | |
| 6 | 2011 | 18 | |
| 7 | 2010 | 18 | |
| 8 | 2009 | 16 | |
| 9 | 2012 | 11 | |
| 10 | 2010 | 9 | |
| 11 | 2010 | 8 | |
| 12 | 2010 | 7 | |
| 13 | 2010 | 6 |
About Xiaowei Ying
Xiaowei Ying is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Computer Networks and Communications, Geometry and Topology and Sociology and Political Science, having authored 13 papers that have together received 458 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (7 papers), Privacy-Preserving Technologies in Data (5 papers), Internet Traffic Analysis and Secure E-voting (5 papers), Opinion Dynamics and Social Influence (4 papers), Network Security and Intrusion Detection (3 papers), Graph theory and applications (3 papers), Spam and Phishing Detection (2 papers) and Privacy, Security, and Data Protection (2 papers). The work is most often cited by research in Artificial Intelligence (372 citations), Statistical and Nonlinear Physics (113 citations), Sociology and Political Science (232 citations), Computer Science Applications (25 citations) and Information Systems (70 citations). Xiaowei Ying has collaborated with scholars based in United States and China. Frequent co-authors include Xintao Wu, Ling Guo, Kai Pan, Daniel Barbará, Zhi‐Hua Zhou, Aidong Lu, Zhi Zhou and Lane Harrison. Their work appears in journals such as Knowledge and Information Systems, IEEE Transactions on Knowledge and Data Engineering 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.