Weiwei Ni
Impact in
- Artificial Intelligence top 10%
- Privacy-Preserving Technologies in Data
- Cryptography and Data Security
- Internet Traffic Analysis and Secure E-voting
- Advanced Clustering Algorithms Research
- Anomaly Detection Techniques and Applications
Papers in
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- Privacy-Preserving Technologies in Data 18
- Cryptography and Data Security 4
- Internet Traffic Analysis and Secure E-voting 4
- Advanced Clustering Algorithms Research 4
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- Privacy, Security, and Data Protection 13
- Co-authors
- Xiao Chen (1 shared paper)Junzhou Luo (1 shared paper)Xiao‐Bai Li (1 shared paper)Ming Yang (1 shared paper)Shichao Zhu (2 shared papers)Yukun Li (1 shared paper)Liming Li (2 shared papers)Wei Song (1 shared paper)
In The Last Decade
Weiwei Ni
34 papers receiving 245 citations
Peers
Comparison fields: 5 of 74
- Artificial Intelligence 196
- Computer Science Applications 14
- Signal Processing 24
- Research and Theory 2
- Critical Care and Intensive Care Medicine 11
Countries citing papers authored by Weiwei Ni
This map shows the geographic impact of Weiwei Ni'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 Weiwei Ni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiwei Ni more than expected).
Fields of papers citing papers by Weiwei Ni
This network shows the impact of papers produced by Weiwei Ni. 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 Weiwei Ni. The network helps show where Weiwei Ni may publish in the future.
Co-authors
The 25 scholars most cited alongside Weiwei Ni, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 37 | |
| 2 | 2016 | 29 | |
| 3 | 2012 | 15 | |
| 4 | 2021 | 14 | |
| 5 | 2019 | 14 | |
| 6 | 2012 | 14 | |
| 7 | 2019 | 12 | |
| 8 | 2022 | 12 | |
| 9 | 2005 | 11 | |
| 10 | 2020 | 11 | |
| 11 | 2023 | 9 | |
| 12 | 2005 | 9 | |
| 13 | 2023 | 6 | |
| 14 | A Clustering Hybrid Based Algorithm for Privacy Preserving Trajectory Data Publishing | 2013 | 6 |
| 15 | 2008 | 6 | |
| 16 | 2006 | 6 | |
| 17 | A Privacy-Preserving Data Publishing Algorithm for Clustering Application | 2010 | 6 |
| 18 | Local Entropy Based Weighted Subspace Outlier Mining Algorithm | 2008 | 5 |
| 19 | 2024 | 4 | |
| 20 | Efficient Data Stream Clustering Algorithm Based on k-Means Partitioning and Density | 2007 | 4 |
About Weiwei Ni
Weiwei Ni is a scholar working on Artificial Intelligence, Sociology and Political Science, Computer Networks and Communications, Control and Systems Engineering and Information Systems, having authored 41 papers that have together received 255 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (18 papers), Privacy, Security, and Data Protection (13 papers), Data Management and Algorithms (4 papers), Cryptography and Data Security (4 papers), Mobile Crowdsensing and Crowdsourcing (4 papers), Internet Traffic Analysis and Secure E-voting (4 papers), Advanced Clustering Algorithms Research (4 papers) and Data Mining Algorithms and Applications (4 papers). The work is most often cited by research in Artificial Intelligence (196 citations), Computer Science Applications (14 citations), Signal Processing (24 citations), Research and Theory (2 citations) and Critical Care and Intensive Care Medicine (11 citations). Weiwei Ni has collaborated with scholars based in China, Taiwan and Hong Kong. Frequent co-authors include Xiao Chen, Junzhou Luo, Xiao‐Bai Li, Ming Yang, Shichao Zhu, Yukun Li, Liming Li, Wei Song, Yingjie Wu and Geng Chen. Their work appears in journals such as Knowledge-Based Systems, IEEE Access, Information Sciences, BMJ Open and Ad Hoc Networks.
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.