Guoliang Chen
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- Matrix Theory and Algorithms 12
- Numerical Analysis top 10%
- Advanced Optimization Algorithms Research 6
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- Generative Adversarial Networks and Image Synthesis 4
- Face recognition and analysis 4
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- Data Management and Algorithms 7
- Speech and Audio Processing 4
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- Physics of Superconductivity and Magnetism 5
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- Algorithms and Data Compression 4
- Co-authors
- Jie LiuXingping ShengGuangzhong SunJiu DingJun HeTianshi ChenXin YaoXu Yang
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Guoliang Chen
48 papers receiving 328 citations
Peers
Comparison fields: 5 of 66
- Computational Theory and Mathematics 142
- Numerical Analysis 40
- Algebra and Number Theory 32
- Computational Mathematics 4
- Computer Vision and Pattern Recognition 86
Countries citing papers authored by Guoliang Chen
This map shows the geographic impact of Guoliang Chen'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 Guoliang Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guoliang Chen more than expected).
Fields of papers citing papers by Guoliang Chen
This network shows the impact of papers produced by Guoliang Chen. 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 Guoliang Chen. The network helps show where Guoliang Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Guoliang Chen, 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 | 2023 | 26 | |
| 2 | 2022 | 2 | |
| 3 | 2018 | 1 | |
| 4 | 2016 | 6 | |
| 5 | 2016 | 23 | |
| 6 | 2016 | 3 | |
| 7 | 2016 | 0 | |
| 8 | 2015 | 3 | |
| 9 | 2011 | 5 | |
| 10 | On solutions of matrix equation XF − AX = C and XF − A X = C over quaternion field | 2011 | 4 |
| 11 | 2010 | 31 | |
| 12 | 2009 | 41 | |
| 13 | 2007 | 28 | |
| 14 | An Algorithm for Privacy-preserving Boolean Association Rule Mining | 2005 | 14 |
| 15 | The Smallest Degree Sum that Yields Potentially K2s-graphic Sequences. | 2005 | 3 |
| 16 | Union Search:A New Meta-Heuristic Algorithm to the Traveling Salesman Problem | 2005 | 1 |
| 17 | 2002 | 0 | |
| 18 | 1994 | 4 | |
| 19 | 1993 | 3 | |
| 20 | 1993 | 1 |
About Guoliang Chen
Guoliang Chen is a scholar working on Computational Mathematics, Signal Processing and Numerical Analysis, having authored 55 papers that have together received 348 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (12 papers), Data Management and Algorithms (7 papers), Advanced Optimization Algorithms Research (6 papers), Physics of Superconductivity and Magnetism (5 papers), Speech and Audio Processing (4 papers), Generative Adversarial Networks and Image Synthesis (4 papers), Face recognition and analysis (4 papers) and Algorithms and Data Compression (4 papers). The work is most often cited by research in Computational Theory and Mathematics (142 citations), Numerical Analysis (40 citations) and Algebra and Number Theory (32 citations). Guoliang Chen has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Jie Liu, Xingping Sheng, Guangzhong Sun, Jiu Ding, Jun He, Tianshi Chen, Xin Yao, Xu Yang, Zhicheng Jin and Jianmin Chen. Their work appears in journals such as Journal of Applied Physics, Optics Letters and IEEE Access.
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.