Ziyan Luo
Impact in
- Computational Mathematics top 0.1%
- Tensor decomposition and applications
- Numerical Analysis top 5%
- Advanced Optimization Algorithms Research
Papers in
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- Sparse and Compressive Sensing Techniques 22
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- Tensor decomposition and applications 15
- Co-authors
- Liqun Qi (13 shared papers)Naihua Xiu (15 shared papers)Weiyang Ding (1 shared paper)Keping Li (2 shared papers)Jin Zhou (2 shared papers)Xin Ma (2 shared papers)Qing‐Wen Wang (1 shared paper)Xinzhen Zhang (1 shared paper)
- Journals
- Linear Algebra and its Applications (5 papers)Journal of Optimization Theory and Applications (3 papers)International Journal of Machine Learning and Cybernetics (1 paper)Computational Optimization and Applications (1 paper)Optimization Letters (1 paper)
- Partner nations
- ChinaHong KongUnited Kingdom
In The Last Decade
Ziyan Luo
40 papers receiving 817 citations
Peers
Comparison fields: 5 of 75
- Computational Mathematics 538
- Numerical Analysis 205
- Computational Theory and Mathematics 445
- Statistical and Nonlinear Physics 97
- Computational Mechanics 157
Countries citing papers authored by Ziyan Luo
This map shows the geographic impact of Ziyan Luo'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 Ziyan Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ziyan Luo more than expected).
Fields of papers citing papers by Ziyan Luo
This network shows the impact of papers produced by Ziyan Luo. 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 Ziyan Luo. The network helps show where Ziyan Luo may publish in the future.
Co-authors
The 25 scholars most cited alongside Ziyan Luo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 189 | |
| 2 | 2017 | 168 | |
| 3 | 2016 | 130 | |
| 4 | 2018 | 51 | |
| 5 | 2014 | 35 | |
| 6 | 2009 | 35 | |
| 7 | 2021 | 33 | |
| 8 | 2016 | 21 | |
| 9 | 2019 | 20 | |
| 10 | 2023 | 15 | |
| 11 | 2013 | 15 | |
| 12 | 2022 | 13 | |
| 13 | 2014 | 10 | |
| 14 | 2003 | 10 | |
| 15 | 2020 | 9 | |
| 16 | 2023 | 8 | |
| 17 | 2013 | 8 | |
| 18 | 2017 | 8 | |
| 19 | 2021 | 8 | |
| 20 | 2014 | 8 |
About Ziyan Luo
Ziyan Luo is a scholar working on Computational Mechanics, Computational Mathematics, Numerical Analysis, Computational Theory and Mathematics and Signal Processing, having authored 41 papers that have together received 849 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (22 papers), Tensor decomposition and applications (15 papers), Advanced Optimization Algorithms Research (10 papers), Matrix Theory and Algorithms (6 papers), Optimization and Variational Analysis (4 papers), Complex Network Analysis Techniques (3 papers), Blind Source Separation Techniques (3 papers) and Advanced Neuroimaging Techniques and Applications (2 papers). The work is most often cited by research in Computational Mathematics (538 citations), Numerical Analysis (205 citations), Computational Theory and Mathematics (445 citations), Statistical and Nonlinear Physics (97 citations) and Computational Mechanics (157 citations). Ziyan Luo has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Liqun Qi, Naihua Xiu, Weiyang Ding, Keping Li, Jin Zhou, Xin Ma, Qing‐Wen Wang, Xinzhen Zhang, Xiaotong Yu and Shenglong Zhou. Their work appears in journals such as Linear Algebra and its Applications, Journal of Optimization Theory and Applications, International Journal of Machine Learning and Cybernetics, Computational Optimization and Applications and Optimization 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.