Kaijun Liu
Impact in
- Signal Processing top 5%
- Advanced Malware Detection Techniques
- Software top 10%
- Software Testing and Debugging Techniques
Papers in
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- Cryptography and Data Security 2
- Wireless Signal Modulation Classification 2
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- Advanced Authentication Protocols Security 2
- Network Security and Intrusion Detection 2
- Co-authors
- Guoai Xu (4 shared papers)Shengwei Xu (1 shared paper)Dawei Sun (1 shared paper)Miao Zhang (1 shared paper)Haifeng Liu (1 shared paper)Chen Dong (3 shared papers)Haotai Liang (2 shared papers)Ping Zhang (2 shared papers)
- Journals
- IEEE Transactions on Wireless Communications (1 paper)Applied Sciences (1 paper)IEEE Transactions on Cognitive Communications and Networking (1 paper)Sensors (1 paper)IEEE Access (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Kaijun Liu
11 papers receiving 309 citations
Kaijun Liu's Hit Papers
Peers
Comparison fields: 5 of 39
- Signal Processing 209
- Software 53
- Computer Networks and Communications 199
- Information Systems 101
- Artificial Intelligence 78
Countries citing papers authored by Kaijun Liu
This map shows the geographic impact of Kaijun Liu'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 Kaijun Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaijun Liu more than expected).
Fields of papers citing papers by Kaijun Liu
This network shows the impact of papers produced by Kaijun Liu. 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 Kaijun Liu. The network helps show where Kaijun Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kaijun Liu, 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 | A Review of Android Malware Detection Approaches Based on Machine Learning Hit paper breakdown → | 2020 | 218 |
| 2 | 2023 | 44 | |
| 3 | 2010 | 14 | |
| 4 | 2024 | 11 | |
| 5 | 2022 | 8 | |
| 6 | 2024 | 8 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 1 | |
| 11 | 2022 | 1 | |
| 12 | 2024 | 0 |
About Kaijun Liu
Kaijun Liu is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Signal Processing and Electrical and Electronic Engineering, having authored 12 papers that have together received 316 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (3 papers), Cryptography and Data Security (2 papers), Wireless Signal Modulation Classification (2 papers), Software Testing and Debugging Techniques (2 papers), Advanced Authentication Protocols Security (2 papers), User Authentication and Security Systems (2 papers), Network Security and Intrusion Detection (2 papers) and Wireless Communication Security Techniques (1 paper). The work is most often cited by research in Signal Processing (209 citations), Software (53 citations), Computer Networks and Communications (199 citations), Information Systems (101 citations) and Artificial Intelligence (78 citations). Kaijun Liu has collaborated with scholars based in China and United States. Frequent co-authors include Guoai Xu, Shengwei Xu, Dawei Sun, Miao Zhang, Haifeng Liu, Chen Dong, Haotai Liang, Ping Zhang, Xiaodong Xu and Weizhi Li. Their work appears in journals such as IEEE Transactions on Wireless Communications, Applied Sciences, IEEE Transactions on Cognitive Communications and Networking, Sensors and IEEE Access.
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.