Shui Yu
Impact in
- Computer Networks and Communications top 0.05%
- Network Security and Intrusion Detection
- IoT and Edge/Fog Computing
- Software-Defined Networks and 5G
- Artificial Intelligence top 0.05%
- Privacy-Preserving Technologies in Data
- Internet Traffic Analysis and Secure E-voting
- Cryptography and Data Security
Papers in
-
- Network Security and Intrusion Detection 131
- Software-Defined Networks and 5G 91
- IoT and Edge/Fog Computing 88
- Caching and Content Delivery 61
-
- Privacy-Preserving Technologies in Data 175
- Cryptography and Data Security 100
- Internet Traffic Analysis and Secure E-voting 83
- Co-authors
- Wanlei Zhou (82 shared papers)Song Guo (29 shared papers)Yong Xiang (35 shared papers)Youyang Qu (47 shared papers)Shigen Shen (41 shared papers)Longxiang Gao (45 shared papers)Yucheng Dong (12 shared papers)Sancheng Peng (26 shared papers)
- Journals
- IEEE Internet of Things Journal (67 papers)Journal of Network and Computer Applications (35 papers)IEEE Transactions on Dependable and Secure Computing (27 papers)IEEE Transactions on Information Forensics and Security (22 papers)IEEE Transactions on Vehicular Technology (21 papers)
- Partner nations
- AustraliaChinaUnited States
In The Last Decade
Shui Yu
827 papers receiving 22.3k citations
Shui Yu's Hit Papers
Peers
Comparison fields: 5 of 199
- Computer Networks and Communications 10.2k
- Artificial Intelligence 9.0k
- Information Systems 5.2k
- Signal Processing 2.5k
- Management Science and Operations Research 1.4k
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-authors
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
Showing the 20 most-cited of 876 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Decentralized Privacy Using Blockchain-Enabled Federated Learning in Fog Computing Hit paper breakdown → | 2020 | 373 |
| 2 | A Parallel Random Forest Algorithm for Big Data in a Spark Cloud Computing Environment Hit paper breakdown → | 2016 | 361 |
| 3 | Joint Optimization of Task Scheduling and Image Placement in Fog Computing Supported Software-Defined Embedded System Hit paper breakdown → | 2016 | 356 |
| 4 | A Survey on Security Threats and Defensive Techniques of Machine Learning: A Data Driven View Hit paper breakdown → | 2018 | 321 |
| 5 | 2009 | 314 | |
| 6 | Blockchain Meets Cloud Computing: A Survey Hit paper breakdown → | 2020 | 295 |
| 7 | Consensus efficiency in group decision making: A comprehensive comparative study and its optimal design Hit paper breakdown → | 2018 | 291 |
| 8 | Security and privacy in 6G networks: New areas and new challenges Hit paper breakdown → | 2020 | 266 |
| 9 | Big Privacy: Challenges and Opportunities of Privacy Study in the Age of Big Data Hit paper breakdown → | 2016 | 254 |
| 10 | A survey on incorporating domain knowledge into deep learning for medical image analysis Hit paper breakdown → | 2021 | 242 |
| 11 | 2018 | 226 | |
| 12 | 2020 | 218 | |
| 13 | 2013 | 212 | |
| 14 | 2020 | 209 | |
| 15 | 2016 | 183 | |
| 16 | Security and Privacy-Enhanced Federated Learning for Anomaly Detection in IoT Infrastructures Hit paper breakdown → | 2021 | 181 |
| 17 | 2015 | 181 | |
| 18 | 2011 | 178 | |
| 19 | 2016 | 176 | |
| 20 | 2020 | 176 |
About Shui Yu
Shui Yu is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Signal Processing and Electrical and Electronic Engineering, having authored 876 papers that have together received 22.9k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (175 papers), Network Security and Intrusion Detection (131 papers), Cryptography and Data Security (100 papers), Software-Defined Networks and 5G (91 papers), IoT and Edge/Fog Computing (88 papers), Internet Traffic Analysis and Secure E-voting (83 papers), Advanced Malware Detection Techniques (67 papers) and Caching and Content Delivery (61 papers). The work is most often cited by research in Computer Networks and Communications (10.2k citations), Artificial Intelligence (9.0k citations), Information Systems (5.2k citations), Signal Processing (2.5k citations) and Management Science and Operations Research (1.4k citations). Shui Yu has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Wanlei Zhou, Song Guo, Yong Xiang, Youyang Qu, Shigen Shen, Longxiang Gao, Yucheng Dong, Sancheng Peng, 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.