Xinjun Pei
Impact in
- Signal Processing top 5%
- Advanced Malware Detection Techniques
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- Network Security and Intrusion Detection
Papers in
-
- Network Security and Intrusion Detection 14
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- Blockchain Technology Applications and Security 5
- Spam and Phishing Detection 4
- Digital and Cyber Forensics 4
- Co-authors
- Shengwei Tian (6 shared papers)Xiaoheng Deng (15 shared papers)Long Yu (3 shared papers)Shengwei Tian (7 shared papers)Kaiping Xue (7 shared papers)Huanhuan Wang (3 shared papers)Lan Zhang (1 shared paper)Zhen Ling (1 shared paper)
- Journals
- IEEE Transactions on Network Science and Engineering (3 papers)Journal of Intelligent & Fuzzy Systems (2 papers)Applied Intelligence (2 papers)IEEE Transactions on Dependable and Secure Computing (2 papers)IEEE Transactions on Information Forensics and Security (2 papers)
- Partner nations
- ChinaUnited StatesNorway
In The Last Decade
Xinjun Pei
22 papers receiving 406 citations
Peers
Comparison fields: 5 of 48
- Signal Processing 226
- Computer Networks and Communications 270
- Information Systems 176
- Artificial Intelligence 203
- Software 23
Countries citing papers authored by Xinjun Pei
This map shows the geographic impact of Xinjun Pei'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 Xinjun Pei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinjun Pei more than expected).
Fields of papers citing papers by Xinjun Pei
This network shows the impact of papers produced by Xinjun Pei. 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 Xinjun Pei. The network helps show where Xinjun Pei may publish in the future.
Co-authors
The 25 scholars most cited alongside Xinjun Pei, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 88 | |
| 2 | 2022 | 53 | |
| 3 | 2021 | 49 | |
| 4 | 2022 | 47 | |
| 5 | 2019 | 40 | |
| 6 | 2023 | 24 | |
| 7 | 2020 | 16 | |
| 8 | 2023 | 15 | |
| 9 | 2022 | 12 | |
| 10 | 2025 | 11 | |
| 11 | 2023 | 11 | |
| 12 | 2023 | 10 | |
| 13 | 2024 | 9 | |
| 14 | 2019 | 7 | |
| 15 | 2024 | 7 | |
| 16 | 2024 | 5 | |
| 17 | 2025 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 2023 | 2 | |
| 20 | 2024 | 2 |
About Xinjun Pei
Xinjun Pei is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Signal Processing and Electrical and Electronic Engineering, having authored 24 papers that have together received 415 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (14 papers), Advanced Malware Detection Techniques (11 papers), Privacy-Preserving Technologies in Data (7 papers), Blockchain Technology Applications and Security (5 papers), Internet Traffic Analysis and Secure E-voting (5 papers), Spam and Phishing Detection (4 papers), Digital and Cyber Forensics (4 papers) and Adversarial Robustness in Machine Learning (2 papers). The work is most often cited by research in Signal Processing (226 citations), Computer Networks and Communications (270 citations), Information Systems (176 citations), Artificial Intelligence (203 citations) and Software (23 citations). Xinjun Pei has collaborated with scholars based in China, United States and Norway. Frequent co-authors include Shengwei Tian, Xiaoheng Deng, Long Yu, Shengwei Tian, Kaiping Xue, Huanhuan Wang, Lan Zhang, Zhen Ling, Long Yu and Ping Jiang. Their work appears in journals such as IEEE Transactions on Network Science and Engineering, Journal of Intelligent & Fuzzy Systems, Applied Intelligence, IEEE Transactions on Dependable and Secure 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.