Shi-Liang Wu
- Computational Theory and Mathematics top 0.5%
- Numerical Analysis top 1%
- Atomic and Molecular Physics, and Optics top 10%
- Computational Mechanics top 5%
- Atmospheric Science top 10%
- Co-authors
- Cui-Xia LiPeng GuoTing‐Zhu HuangXi-Le ZhaoShu-Qian ShenLu‐Bin CuiK. ChanceBastien Sauvage
- Topics
- Matrix Theory and Algorithms (85 papers)Advanced Optimization Algorithms Research (41 papers)Electromagnetic Scattering and Analysis (35 papers)
- Journals
- SHILAP Revista de lepidopterologíaBrain ResearchFEBS Letters
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Shi-Liang Wu
91 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 87
- Computational Theory and Mathematics 808
- Numerical Analysis 600
- Atomic and Molecular Physics, and Optics 258
- Computational Mechanics 217
- Atmospheric Science 118
Countries citing papers authored by Shi-Liang Wu
This map shows the geographic impact of Shi-Liang Wu'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 Shi-Liang Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shi-Liang Wu more than expected).
Fields of papers citing papers by Shi-Liang Wu
This network shows the impact of papers produced by Shi-Liang Wu. 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 Shi-Liang Wu. The network helps show where Shi-Liang Wu may publish in the future.
Co-authorship network of co-authors of Shi-Liang Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Shi-Liang Wu. A scholar is included among the top collaborators of Shi-Liang Wu 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 Shi-Liang Wu. Shi-Liang Wu 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 | 2 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 4 | |
| 12 | 50 | |
| 13 | 39 | |
| 14 | 11 | |
| 15 | 12 | |
| 16 | Enterprise modeling framework oriented to knowledge reuse | 1 |
| 17 | A note on the modified Hermitian and skew-Hermitian splitting methods for non-Hermitian positive definite linear systems | 2 |
| 18 | The Status and Trends of CIM Reference Architecture | 0 |
| 19 | Research on flexible workflow system modeling supporting cross-enterprise collaboration | 1 |
| 20 | Modeling and Application for Information Integration Based on Matrix | 2 |
About Shi-Liang Wu
Shi-Liang Wu is a scholar working on Computational Mathematics, Numerical Analysis and Computational Theory and Mathematics, having authored 103 papers that have together received 1.1k indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (85 papers), Advanced Optimization Algorithms Research (41 papers) and Electromagnetic Scattering and Analysis (35 papers). The work is most often cited by research in Computational Mathematics (73 citations), Numerical Analysis (600 citations) and Computational Theory and Mathematics (808 citations). Shi-Liang Wu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Cui-Xia Li, Peng Guo, Ting‐Zhu Huang, Xi-Le Zhao, Shu-Qian Shen, Lu‐Bin Cui, K. Chance, Bastien Sauvage, Aaron van Donkelaar and Tian‐Min Fu. Their work appears in journals such as SHILAP Revista de lepidopterología, Brain Research and FEBS Letters.
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.