Kaijun Liu
Impact in
- Signal Processing top 5%
- Advanced Malware Detection Techniques
- Software top 10%
- Software Testing and Debugging Techniques
Papers in
- Software 2
- Software Testing and Debugging Techniques 2
-
- Advanced Malware Detection Techniques 3
- Co-authors
- Guoai XuMiao ZhangDawei SunShengwei XuHaifeng LiuHaotai LiangXiaodong XuPing Zhang
- Journals
- Applied Sciences (1 paper)Annals of Human Genetics (1 paper)IEEE Transactions on Wireless Communications (1 paper)IEEE Transactions on Network and Service Management (1 paper)Sensors (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Kaijun Liu
11 papers receiving 296 citations
Hit Papers
Peers
Comparison fields: 5 of 41
- Signal Processing 199
- Software 52
- Computer Networks and Communications 192
- Information Systems 98
- Artificial Intelligence 74
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 | 2025 | 0 | |
| 2 | 2024 | 11 | |
| 3 | 2024 | 8 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 44 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 1 | |
| 10 | 2022 | 6 | |
| 11 | 2022 | 1 | |
| 12 | A Review of Android Malware Detection Approaches Based on Machine Learning Hit paper breakdown → | 2020 | 208 |
| 13 | 2010 | 14 |
About Kaijun Liu
Kaijun Liu is a scholar working on Software, Signal Processing, Archeology, Information Systems and Computer Networks and Communications, having authored 13 papers that have together received 303 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (3 papers), Cryptography and Data Security (2 papers), User Authentication and Security Systems (2 papers), Advanced Authentication Protocols Security (2 papers), Forensic Anthropology and Bioarchaeology Studies (2 papers), Software Testing and Debugging Techniques (2 papers), Network Security and Intrusion Detection (2 papers) and Wireless Signal Modulation Classification (2 papers). The work is most often cited by research in Signal Processing (199 citations), Software (52 citations), Computer Networks and Communications (192 citations), Information Systems (98 citations) and Artificial Intelligence (74 citations). Kaijun Liu has collaborated with scholars based in China and United States. Frequent co-authors include Guoai Xu, Miao Zhang, Dawei Sun, Shengwei Xu, Haifeng Liu, Haotai Liang, Xiaodong Xu, Ping Zhang, Chen Dong and Weizhi Li. Their work appears in journals such as Applied Sciences, Annals of Human Genetics, IEEE Transactions on Wireless Communications, IEEE Transactions on Network and Service Management and Sensors.
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.