Xinyue Liu
- Artificial Intelligence top 10%
- Information Systems top 10%
- Computer Vision and Pattern Recognition top 10%
- Statistical and Nonlinear Physics top 10%
- Management Science and Operations Research top 10%
- Co-authors
- Xianchao ZhangLinlin ZongHua ShenWenxin LiangJiebo LuoSaeed KosariFenglong MaYongsheng Rao
- Topics
- Complex Network Analysis Techniques (6 papers)Spam and Phishing Detection (5 papers)Network Security and Intrusion Detection (3 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputational MathematicsComputer Vision and Pattern Recognition
- Partner nations
- ChinaUnited StatesIran
In The Last Decade
Xinyue Liu
21 papers receiving 290 citations
Peers
Comparison fields: 5 of 47
- Artificial Intelligence 127
- Information Systems 89
- Computer Vision and Pattern Recognition 84
- Statistical and Nonlinear Physics 72
- Management Science and Operations Research 47
Countries citing papers authored by Xinyue Liu
This map shows the geographic impact of Xinyue 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 Xinyue Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinyue Liu more than expected).
Fields of papers citing papers by Xinyue Liu
This network shows the impact of papers produced by Xinyue 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 Xinyue Liu. The network helps show where Xinyue Liu may publish in the future.
Co-authorship network of co-authors of Xinyue Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Xinyue Liu. A scholar is included among the top collaborators of Xinyue Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xinyue Liu. Xinyue Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 9 | |
| 8 | 0 | |
| 9 | 25 | |
| 10 | 6 | |
| 11 | 26 | |
| 12 | Near-fault Pulse-like Earthquake Signals Denoising Algorithm Based on Complementary Ensemble Empirical Mode Decomposition | 0 |
| 13 | 6 | |
| 14 | 5 | |
| 15 | 19 | |
| 16 | 14 | |
| 17 | 42 | |
| 18 | 1 | |
| 19 | 36 | |
| 20 | 18 |
About Xinyue Liu
Xinyue Liu is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Signal Processing, having authored 26 papers that have together received 297 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (6 papers), Spam and Phishing Detection (5 papers) and Network Security and Intrusion Detection (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (72 citations), Computational Mathematics (3 citations) and Computer Vision and Pattern Recognition (84 citations). Xinyue Liu has collaborated with scholars based in China, United States and Iran. Frequent co-authors include Xianchao Zhang, Linlin Zong, Hua Shen, Wenxin Liang, Jiebo Luo, Saeed Kosari, Fenglong Ma, Yongsheng Rao, Xiangnan Kong and Zehui Shao. Their work appears in journals such as IEEE Access, IEEE Transactions on Neural Networks and Learning Systems and Neurocomputing.
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.