Beibei Li
Impact in
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- Network Security and Intrusion Detection
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- Smart Grid Security and Resilience
Papers in
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- Privacy-Preserving Technologies in Data 15
- Cryptography and Data Security 14
- Internet Traffic Analysis and Secure E-voting 12
- Anomaly Detection Techniques and Applications 11
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- Network Security and Intrusion Detection 28
- Co-authors
- Rongxing Lu (22 shared papers)Tao Li (17 shared papers)Gaoxi Xiao (10 shared papers)Yuhao Wu (3 shared papers)Jiarui Song (2 shared papers)Liang Zhao (2 shared papers)Kim‐Kwang Raymond Choo (6 shared papers)Haiyong Bao (8 shared papers)
In The Last Decade
Beibei Li
120 papers receiving 2.1k citations
Beibei Li's Hit Papers
Peers
Comparison fields: 5 of 138
- Computer Networks and Communications 921
- Control and Systems Engineering 692
- Signal Processing 299
- Artificial Intelligence 869
- Information Systems 311
Countries citing papers authored by Beibei Li
This map shows the geographic impact of Beibei 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 Beibei Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beibei Li more than expected).
Fields of papers citing papers by Beibei Li
This network shows the impact of papers produced by Beibei 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 Beibei Li. The network helps show where Beibei Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Beibei 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
Showing the 20 most-cited of 142 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | DeepFed: Federated Deep Learning for Intrusion Detection in Industrial Cyber–Physical Systems Hit paper breakdown → | 2020 | 410 |
| 2 | 2019 | 148 | |
| 3 | 2020 | 116 | |
| 4 | 2016 | 99 | |
| 5 | 2018 | 75 | |
| 6 | 2021 | 71 | |
| 7 | 2016 | 69 | |
| 8 | 2015 | 64 | |
| 9 | 2022 | 47 | |
| 10 | 2022 | 43 | |
| 11 | 2015 | 37 | |
| 12 | 2007 | 36 | |
| 13 | 2013 | 33 | |
| 14 | 2020 | 31 | |
| 15 | 2022 | 30 | |
| 16 | 2021 | 28 | |
| 17 | 2019 | 28 | |
| 18 | 2022 | 27 | |
| 19 | 2021 | 27 | |
| 20 | 2021 | 26 |
About Beibei Li
Beibei Li is a scholar working on Artificial Intelligence, Computer Networks and Communications, Control and Systems Engineering, Electrical and Electronic Engineering and Information Systems, having authored 142 papers that have together received 2.2k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (28 papers), Smart Grid Security and Resilience (24 papers), Privacy-Preserving Technologies in Data (15 papers), Cryptography and Data Security (14 papers), Advanced Malware Detection Techniques (13 papers), Internet Traffic Analysis and Secure E-voting (12 papers), Anomaly Detection Techniques and Applications (11 papers) and Blockchain Technology Applications and Security (9 papers). The work is most often cited by research in Computer Networks and Communications (921 citations), Control and Systems Engineering (692 citations), Signal Processing (299 citations), Artificial Intelligence (869 citations) and Information Systems (311 citations). Beibei Li has collaborated with scholars based in China, Singapore and Canada. Frequent co-authors include Rongxing Lu, Tao Li, Gaoxi Xiao, Yuhao Wu, Jiarui Song, Liang Zhao, Kim‐Kwang Raymond Choo, Haiyong Bao, Ruilong Deng and Wei Wang. Their work appears in journals such as IEEE Internet of Things Journal, IEEE Transactions on Industrial Informatics, Future Generation Computer Systems, Applied Soft Computing and IEEE Transactions on Information Forensics and Security.
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.