Xinjun Pei
Impact in
- Signal Processing top 5%
- Advanced Malware Detection Techniques
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- Network Security and Intrusion Detection
- IoT and Edge/Fog Computing
Papers in
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- Advanced Malware Detection Techniques 9
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- Privacy-Preserving Technologies in Data 9
- Advanced Graph Neural Networks 1
- Co-authors
- Shengwei Tian (15 shared papers)Xiaoheng Deng (17 shared papers)Long Yu (3 shared papers)Kaiping Xue (7 shared papers)Irshad Ullah (4 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)Applied Intelligence (2 papers)IEEE Transactions on Industrial Informatics (2 papers)Journal of Intelligent & Fuzzy Systems (2 papers)IEEE Transactions on Dependable and Secure Computing (2 papers)
- Partner nations
- ChinaUnited StatesNorway
In The Last Decade
Xinjun Pei
26 papers receiving 509 citations
Peers
Comparison fields: 5 of 33
- Signal Processing 139
- Computer Networks and Communications 157
- Information Systems 136
- Artificial Intelligence 144
- Statistical and Nonlinear Physics 6
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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 92 | |
| 2 | 2022 | 58 | |
| 3 | 2022 | 57 | |
| 4 | 2021 | 52 | |
| 5 | 2019 | 42 | |
| 6 | 2023 | 30 | |
| 7 | 2023 | 29 | |
| 8 | 2023 | 20 | |
| 9 | 2024 | 20 | |
| 10 | 2025 | 20 | |
| 11 | 2020 | 17 | |
| 12 | 2023 | 17 | |
| 13 | 2022 | 14 | |
| 14 | 2024 | 12 | |
| 15 | 2023 | 11 | |
| 16 | 2019 | 7 | |
| 17 | 2024 | 7 | |
| 18 | 2024 | 5 | |
| 19 | 2024 | 3 | |
| 20 | 2025 | 3 |
About Xinjun Pei
Xinjun Pei is a scholar working on Signal Processing, Artificial Intelligence, Computer Networks and Communications, Information Systems and Computer Science Applications, having authored 28 papers that have together received 526 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (9 papers), Advanced Malware Detection Techniques (9 papers), Network Security and Intrusion Detection (5 papers), Spam and Phishing Detection (3 papers), Blockchain Technology Applications and Security (2 papers), Advanced Graph Neural Networks (1 paper), Traffic control and management (1 paper) and Mobile Crowdsensing and Crowdsourcing (1 paper). The work is most often cited by research in Signal Processing (139 citations), Computer Networks and Communications (157 citations), Information Systems (136 citations), Artificial Intelligence (144 citations) and Statistical and Nonlinear Physics (6 citations). Xinjun Pei has collaborated with scholars based in China, United States and Norway. Frequent co-authors include Shengwei Tian, Xiaoheng Deng, Long Yu, Kaiping Xue, Irshad Ullah, 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, Applied Intelligence, IEEE Transactions on Industrial Informatics, Journal of Intelligent & Fuzzy Systems and IEEE Transactions on Dependable and Secure Computing.
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.