Zhuzhu Wang
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Information Systems top 10%
- Computer Networks and Communications top 10%
- Co-authors
- Jianfeng MaXimeng LiuZhuo MaYang LiuJunwei ZhangFan YangBin XiaoWei Yang
- Topics
- Privacy-Preserving Technologies in Data (6 papers)Cryptography and Data Security (4 papers)Network Security and Intrusion Detection (3 papers)
- Cited by
- Computer Science ApplicationsComputer Vision and Pattern RecognitionArtificial Intelligence
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Zhuzhu Wang
24 papers receiving 359 citations
Peers
Comparison fields: 5 of 75
- Artificial Intelligence 129
- Computer Vision and Pattern Recognition 89
- Electrical and Electronic Engineering 78
- Information Systems 77
- Computer Networks and Communications 74
Countries citing papers authored by Zhuzhu Wang
This map shows the geographic impact of Zhuzhu Wang'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 Zhuzhu Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhuzhu Wang more than expected).
Fields of papers citing papers by Zhuzhu Wang
This network shows the impact of papers produced by Zhuzhu Wang. 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 Zhuzhu Wang. The network helps show where Zhuzhu Wang may publish in the future.
Co-authorship network of co-authors of Zhuzhu Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Zhuzhu Wang. A scholar is included among the top collaborators of Zhuzhu Wang 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 Zhuzhu Wang. Zhuzhu Wang 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 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 5 | |
| 7 | 3 | |
| 8 | 21 | |
| 9 | 31 | |
| 10 | 23 | |
| 11 | 5 | |
| 12 | 2 | |
| 13 | 52 | |
| 14 | 1 | |
| 15 | 72 | |
| 16 | 31 | |
| 17 | 2 | |
| 18 | 5 | |
| 19 | Clustering Analysis on College Students Internet Life Style:Taking Peking University for Example | 1 |
| 20 | 11 |
About Zhuzhu Wang
Zhuzhu Wang is a scholar working on Artificial Intelligence, Signal Processing and Computer Science Applications, having authored 25 papers that have together received 371 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (6 papers), Cryptography and Data Security (4 papers) and Network Security and Intrusion Detection (3 papers). The work is most often cited by research in Computer Science Applications (45 citations), Computer Vision and Pattern Recognition (89 citations) and Artificial Intelligence (129 citations). Zhuzhu Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jianfeng Ma, Ximeng Liu, Zhuo Ma, Yang Liu, Junwei Zhang, Fan Yang, Yang Liu, Bin Xiao, Wei Yang and Zheng Yan. Their work appears in journals such as IEEE Access, Sensors and Information Sciences.
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.