Shui Yu
- Computer Networks and Communications top 0.05%
- Network Security and Intrusion Detection 113
- Software-Defined Networks and 5G 87
- IoT and Edge/Fog Computing 82
- Artificial Intelligence top 0.05%
- Privacy-Preserving Technologies in Data 154
- Cryptography and Data Security 90
- Internet Traffic Analysis and Secure E-voting 73
- Information Systems top 0.05%
- Blockchain Technology Applications and Security 58
- Signal Processing top 0.2%
- Advanced Malware Detection Techniques 59
Shui Yu
739 papers receiving 18.9k citations
Hit Papers
Peers
Comparison fields: 5 of 198
- Computer Networks and Communications 9.0k
- Artificial Intelligence 7.7k
- Information Systems 4.5k
- Signal Processing 2.1k
- Management Science and Operations Research 1.3k
Countries citing papers authored by Shui Yu
This map shows the geographic impact of Shui Yu'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 Shui Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shui Yu more than expected).
Fields of papers citing papers by Shui Yu
This network shows the impact of papers produced by Shui Yu. 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 Shui Yu. The network helps show where Shui Yu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shui Yu, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 6 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 3 | |
| 9 | 2023 | 7 | |
| 10 | 2023 | 15 | |
| 11 | 2023 | 10 | |
| 12 | 2023 | 45 | |
| 13 | 2023 | 12 | |
| 14 | 2023 | 1 | |
| 15 | 2023 | 0 | |
| 16 | 2022 | 8 | |
| 17 | 2020 | 4 | |
| 18 | 2019 | 21 | |
| 19 | 2018 | 4 | |
| 20 | Security and Privacy in Online Social Networks: A Survey | 2014 | 1 |
About Shui Yu
Shui Yu is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems, having authored 791 papers that have together received 19.6k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (154 papers), Network Security and Intrusion Detection (113 papers), Cryptography and Data Security (90 papers), Software-Defined Networks and 5G (87 papers), IoT and Edge/Fog Computing (82 papers), Internet Traffic Analysis and Secure E-voting (73 papers), Advanced Malware Detection Techniques (59 papers) and Blockchain Technology Applications and Security (58 papers). The work is most often cited by research in Computer Networks and Communications (9.0k citations), Artificial Intelligence (7.7k citations) and Information Systems (4.5k citations). Shui Yu has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Wanlei Zhou, Song Guo, Yong Xiang, Shigen Shen, Yucheng Dong, Youyang Qu, Sancheng Peng, Longxiang Gao, Yinfeng Xu and Keshav Sood. Their work appears in journals such as IEEE Internet of Things Journal, Journal of Network and Computer Applications, IEEE Transactions on Dependable and Secure Computing, IEEE Transactions on Information Forensics and Security and IEEE Transactions on Vehicular Technology.
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.