Guanglu Zhou
- Computational Theory and Mathematics top 0.5%
- Computational Mathematics top 0.05%
- Numerical Analysis top 0.5%
- Computational Mechanics top 5%
- Biomedical Engineering
- Topics
- Tensor decomposition and applications (31 papers)Advanced Optimization Algorithms Research (27 papers)Matrix Theory and Algorithms (25 papers)
In The Last Decade
Guanglu Zhou
65 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 81
- Computational Theory and Mathematics 1.1k
- Computational Mathematics 879
- Numerical Analysis 836
- Computational Mechanics 321
- Biomedical Engineering 165
Countries citing papers authored by Guanglu Zhou
This map shows the geographic impact of Guanglu Zhou'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 Guanglu Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guanglu Zhou more than expected).
Fields of papers citing papers by Guanglu Zhou
This network shows the impact of papers produced by Guanglu Zhou. 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 Guanglu Zhou. The network helps show where Guanglu Zhou may publish in the future.
Co-authorship network of co-authors of Guanglu Zhou
This figure shows the co-authorship network connecting the top 25 collaborators of Guanglu Zhou. A scholar is included among the top collaborators of Guanglu Zhou 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 Guanglu Zhou. Guanglu Zhou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 9 | |
| 7 | 44 | |
| 8 | Sharp Brauer-Type Eigenvalue Inclusion Theorems for Tensors | 11 |
| 9 | An efficient nonnegativity preserving algorithm for multilinear systems with nonsingular M-tensors | 6 |
| 10 | 27 | |
| 11 | Fixed point methods for computing a Z-eigenpair of general square tensors | 1 |
| 12 | Uniform stability of stochastic impulsive systems: A new comparison method | 1 |
| 13 | Downside-Risk Based Closed-Loop Supply Chain Coordinated by Two Third-Party Collecting Logistics | 1 |
| 14 | 23 | |
| 15 | 13 | |
| 16 | 51 | |
| 17 | 77 | |
| 18 | 0 | |
| 19 | 13 | |
| 20 | 11 |
About Guanglu Zhou
Guanglu Zhou is a scholar working on Computational Mathematics, Numerical Analysis and Computational Theory and Mathematics, having authored 68 papers that have together received 1.8k indexed citations. Recurring topics across this work include Tensor decomposition and applications (31 papers), Advanced Optimization Algorithms Research (27 papers) and Matrix Theory and Algorithms (25 papers). The work is most often cited by research in Computational Mathematics (879 citations), Numerical Analysis (836 citations) and Computational Theory and Mathematics (1.1k citations). Guanglu Zhou has collaborated with scholars based in Australia, China and Hong Kong. Frequent co-authors include Liqun Qi, Louis Caccetta, Defeng Sun, Michael K. Ng, Liping Zhang, Kim-Chuan Toh, Biao Qu, Yiju Wang, Soon‐Yi Wu and Yongjun Liu. Their work appears in journals such as Biochemistry, Biophysical Journal and IEEE Transactions on Signal Processing.
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.