Ming Gu
Impact in
- Computational Mathematics top 0.5%
- Computational Theory and Mathematics top 0.2%
- Matrix Theory and Algorithms
Papers in
-
- Matrix Theory and Algorithms 45
- Numerical Methods and Algorithms 9
-
- Sparse and Compressive Sensing Techniques 21
- Co-authors
- Stanley C. Eisenstat (6 shared papers)Horst D. Simon (6 shared papers)Hongyuan Zha (5 shared papers)Shivkumar Chandrasekaran (14 shared papers)Chris Ding (4 shared papers)Jianlin Xia (8 shared papers)Xiaofeng He (4 shared papers)Xiaofeng He (1 shared paper)
- Journals
- SIAM Journal on Matrix Analysis and Applications (30 papers)SIAM Journal on Scientific Computing (5 papers)Numerische Mathematik (4 papers)Linear Algebra and its Applications (3 papers)Journal of Computational Electronics (2 papers)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Ming Gu
80 papers receiving 3.7k citations
Ming Gu's Hit Papers
Peers
Comparison fields: 5 of 141
- Computational Mathematics 225
- Computational Theory and Mathematics 1.6k
- Numerical Analysis 495
- Computational Mechanics 924
- Statistical and Nonlinear Physics 505
Countries citing papers authored by Ming Gu
This map shows the geographic impact of Ming Gu'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 Ming Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Gu more than expected).
Fields of papers citing papers by Ming Gu
This network shows the impact of papers produced by Ming Gu. 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 Ming Gu. The network helps show where Ming Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Gu, 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 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A min-max cut algorithm for graph partitioning and data clustering Hit paper breakdown → | 2002 | 528 |
| 2 | 1996 | 403 | |
| 3 | Spectral Relaxation for K-means Clustering | 2001 | 401 |
| 4 | 2009 | 215 | |
| 5 | 2001 | 197 | |
| 6 | 2009 | 189 | |
| 7 | 2006 | 153 | |
| 8 | 2009 | 143 | |
| 9 | 1995 | 143 | |
| 10 | 1999 | 131 | |
| 11 | 1994 | 101 | |
| 12 | 1998 | 97 | |
| 13 | 2015 | 96 | |
| 14 | 1997 | 91 | |
| 15 | 2006 | 83 | |
| 16 | 1995 | 82 | |
| 17 | 1996 | 81 | |
| 18 | 2005 | 69 | |
| 19 | 2007 | 56 | |
| 20 | 2012 | 51 |
About Ming Gu
Ming Gu is a scholar working on Computational Theory and Mathematics, Computational Mechanics, Atomic and Molecular Physics, and Optics, Numerical Analysis and Artificial Intelligence, having authored 87 papers that have together received 4.3k indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (45 papers), Electromagnetic Scattering and Analysis (22 papers), Sparse and Compressive Sensing Techniques (21 papers), Advanced Optimization Algorithms Research (16 papers), Statistical and numerical algorithms (11 papers), Numerical Methods and Algorithms (9 papers), Control Systems and Identification (8 papers) and Tensor decomposition and applications (7 papers). The work is most often cited by research in Computational Mathematics (225 citations), Computational Theory and Mathematics (1.6k citations), Numerical Analysis (495 citations), Computational Mechanics (924 citations) and Statistical and Nonlinear Physics (505 citations). Ming Gu has collaborated with scholars based in United States, China and France. Frequent co-authors include Stanley C. Eisenstat, Horst D. Simon, Hongyuan Zha, Shivkumar Chandrasekaran, Chris Ding, Jianlin Xia, Xiaofeng He, Xiaofeng He, Xiaoye Sherry Li and T. Pals. Their work appears in journals such as SIAM Journal on Matrix Analysis and Applications, SIAM Journal on Scientific Computing, Numerische Mathematik, Linear Algebra and its Applications and Journal of Computational Electronics.
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.