Xiyu Liu
- Artificial Intelligence top 5%
- Metaheuristic Optimization Algorithms Research 16
- Evolutionary Algorithms and Applications 7
- Advanced Computational Techniques and Applications 7
- Numerical Analysis top 10%
- Ophthalmology top 10%
- Applied Mathematics top 10%
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- DNA and Biological Computing 25
- Advanced biosensing and bioanalysis techniques 14
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- Advanced Algorithms and Applications 18
- Advanced Sensor and Control Systems 8
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- Modular Robots and Swarm Intelligence 11
- Partner nations
- ChinaUnited StatesTunisia
In The Last Decade
Xiyu Liu
114 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 139
- Artificial Intelligence 248
- Numerical Analysis 39
- Computer Vision and Pattern Recognition 128
- Ophthalmology 51
- Applied Mathematics 52
Countries citing papers authored by Xiyu Liu
This map shows the geographic impact of Xiyu 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 Xiyu Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiyu Liu more than expected).
Fields of papers citing papers by Xiyu Liu
This network shows the impact of papers produced by Xiyu 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 Xiyu Liu. The network helps show where Xiyu Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiyu 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 | 6 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 5 | |
| 6 | 2022 | 4 | |
| 7 | 2022 | 4 | |
| 8 | 2022 | 1 | |
| 9 | 2020 | 1 | |
| 10 | 2020 | 4 | |
| 11 | 2020 | 9 | |
| 12 | 2019 | 55 | |
| 13 | 2019 | 12 | |
| 14 | 2019 | 4 | |
| 15 | 2018 | 14 | |
| 16 | 2017 | 15 | |
| 17 | 2017 | 9 | |
| 18 | 2017 | 30 | |
| 19 | Parameter Optimization Algorithm of RBF Neural Network Based on PSO Algorithm | 2009 | 3 |
| 20 | Hybrid algorithm based on PSO and GA | 2007 | 4 |
About Xiyu Liu
Xiyu Liu is a scholar working on Artificial Intelligence, Control and Systems Engineering, Computational Theory and Mathematics, Numerical Analysis and Computer Vision and Pattern Recognition, having authored 124 papers that have together received 1.1k indexed citations. Recurring topics across this work include DNA and Biological Computing (25 papers), Advanced Algorithms and Applications (18 papers), Metaheuristic Optimization Algorithms Research (16 papers), Advanced biosensing and bioanalysis techniques (14 papers), Modular Robots and Swarm Intelligence (11 papers), Advanced Sensor and Control Systems (8 papers), Evolutionary Algorithms and Applications (7 papers) and Advanced Computational Techniques and Applications (7 papers). The work is most often cited by research in Artificial Intelligence (248 citations), Numerical Analysis (39 citations), Computer Vision and Pattern Recognition (128 citations), Ophthalmology (51 citations) and Applied Mathematics (52 citations). Xiyu Liu has collaborated with scholars based in China, United States and Tunisia. Frequent co-authors include Minghe Sun, Huichuan Duan, Yuzhen Zhao, Jie Xue, Hongyan Zhang, Dengwang Li, Wenqian Zhang, Hong Liu, Jianhua Qu and Lili Li. Their work appears in journals such as IEEE Access, Small, ACS Nano, Applied Mathematics and Computation and Nonlinear Analysis.
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.