Xiaoyong Li
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- Network Security and Intrusion Detection 39
- IoT and Edge/Fog Computing 22
- Caching and Content Delivery 21
- Information Systems top 0.5%
- Cloud Data Security Solutions 29
- Cloud Computing and Resource Management 22
- Artificial Intelligence top 2%
- Anomaly Detection Techniques and Applications 21
- Internet Traffic Analysis and Secure E-voting 20
- Signal Processing top 5%
- Hardware and Architecture top 10%
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- Access Control and Trust 24
- Journals
- IEEE Access (8 papers)IEEE Internet of Things Journal (6 papers)IEEE Transactions on Information Forensics and Security (5 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Xiaoyong Li
200 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 137
- Computer Networks and Communications 1.2k
- Information Systems 969
- Artificial Intelligence 680
- Signal Processing 194
- Hardware and Architecture 59
Countries citing papers authored by Xiaoyong Li
This map shows the geographic impact of Xiaoyong Li'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 Xiaoyong Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoyong Li more than expected).
Fields of papers citing papers by Xiaoyong Li
This network shows the impact of papers produced by Xiaoyong Li. 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 Xiaoyong Li. The network helps show where Xiaoyong Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaoyong Li, 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 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 6 | |
| 9 | 2023 | 4 | |
| 10 | 2021 | 3 | |
| 11 | 2020 | 55 | |
| 12 | 2020 | 81 | |
| 13 | 2019 | 16 | |
| 14 | 2019 | 1 | |
| 15 | 2019 | 21 | |
| 16 | 2019 | 1 | |
| 17 | 2018 | 5 | |
| 18 | 2018 | 7 | |
| 19 | 2017 | 23 | |
| 20 | Transferring optimize technology in dynamic binary translation | 2007 | 1 |
About Xiaoyong Li
Xiaoyong Li is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Signal Processing and Health Informatics, having authored 226 papers that have together received 2.4k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (39 papers), Cloud Data Security Solutions (29 papers), Access Control and Trust (24 papers), IoT and Edge/Fog Computing (22 papers), Cloud Computing and Resource Management (22 papers), Caching and Content Delivery (21 papers), Anomaly Detection Techniques and Applications (21 papers) and Internet Traffic Analysis and Secure E-voting (20 papers). The work is most often cited by research in Computer Networks and Communications (1.2k citations), Information Systems (969 citations), Artificial Intelligence (680 citations), Signal Processing (194 citations) and Hardware and Architecture (59 citations). Xiaoyong Li has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Feng Zhou, Jie Yuan, Junping Du, Wenbin Yao, Yali Gao, Huadóng Ma, Xudong Yang, Xiaolin Gui, Binxing Fang and Haibing Guan. Their work appears in journals such as IEEE Access, IEEE Internet of Things Journal, IEEE Transactions on Information Forensics and Security, IEEE/ACM Transactions on Networking and IEEE Transactions on Parallel and Distributed 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.