Weiwei Ni
- Artificial Intelligence top 10%
- Sociology and Political Science
- Information Systems
- Computer Networks and Communications
- Signal Processing
- Co-authors
- Xiao ChenMing YangXiao‐Bai LiJunzhou LuoLiming LiYukun LiShichao ZhuGeng Chen
- Topics
- Privacy-Preserving Technologies in Data (18 papers)Privacy, Security, and Data Protection (13 papers)Internet Traffic Analysis and Secure E-voting (4 papers)
In The Last Decade
Weiwei Ni
34 papers receiving 245 citations
Peers
Comparison fields: 5 of 74
- Artificial Intelligence 196
- Sociology and Political Science 77
- Information Systems 37
- Computer Networks and Communications 25
- Signal Processing 24
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-authorship network of co-authors of Weiwei Ni
This figure shows the co-authorship network connecting the top 25 collaborators of Weiwei Ni. A scholar is included among the top collaborators of Weiwei Ni 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 Weiwei Ni. Weiwei Ni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 9 | |
| 6 | 14 | |
| 7 | 12 | |
| 8 | 29 | |
| 9 | 37 | |
| 10 | 2 | |
| 11 | Local Density Based Distributed Clustering Algorithm | 1 |
| 12 | A Clustering Hybrid Based Algorithm for Privacy Preserving Trajectory Data Publishing | 6 |
| 13 | Algorithm for k-Anonymity Based on Rounded Partition Function | 0 |
| 14 | 1 | |
| 15 | Determination of aluminum in flour products by microwave digestion/dry ashing-spectrophotometry | 1 |
| 16 | Approximate K-Median of Location Streams with Redundancy and Inconsistency. | 1 |
| 17 | Local Entropy Based Weighted Subspace Outlier Mining Algorithm | 5 |
| 18 | 6 | |
| 19 | Efficient Data Stream Clustering Algorithm Based on k-Means Partitioning and Density | 4 |
| 20 | 3 |
About Weiwei Ni
Weiwei Ni is a scholar working on Artificial Intelligence, Computer Science Applications and Signal Processing, 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) and Internet Traffic Analysis and Secure E-voting (4 papers). The work is most often cited by research in Artificial Intelligence (196 citations), Computer Science Applications (14 citations) and Signal Processing (24 citations). Weiwei Ni has collaborated with scholars based in China, Hong Kong and Taiwan. Frequent co-authors include Xiao Chen, Ming Yang, Xiao‐Bai Li, Junzhou Luo, Liming Li, Yukun Li, Shichao Zhu, Geng Chen, Yingjie Wu and Wei Song. Their work appears in journals such as IEEE Access, Information Sciences and Knowledge-Based Systems.
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.