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 54
- Numerical Methods and Algorithms 12
-
- Electromagnetic Scattering and Analysis 25
- Co-authors
- Stanley C. Eisenstat (6 shared papers)Horst D. Simon (6 shared papers)Hongyuan Zha (5 shared papers)Chris Ding (4 shared papers)Shivkumar Chandrasekaran (14 shared papers)Jianlin Xia (9 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)Neural Computation (2 papers)
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Ming Gu
92 papers receiving 4.3k citations
Ming Gu's Hit Papers
Peers
Comparison fields: 5 of 140
- Computational Mathematics 238
- Computational Theory and Mathematics 1.9k
- Numerical Analysis 583
- Statistical and Nonlinear Physics 607
- Computational Mechanics 1.0k
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 98 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 | 626 |
| 2 | Spectral Relaxation for K-means Clustering | 2001 | 446 |
| 3 | 1996 | 436 | |
| 4 | 2001 | 233 | |
| 5 | 2009 | 230 | |
| 6 | 2009 | 207 | |
| 7 | 2006 | 163 | |
| 8 | 1995 | 158 | |
| 9 | 1999 | 149 | |
| 10 | 2009 | 149 | |
| 11 | 2015 | 116 | |
| 12 | 1994 | 114 | |
| 13 | 1997 | 105 | |
| 14 | 1998 | 105 | |
| 15 | 2006 | 94 | |
| 16 | 1995 | 92 | |
| 17 | 1996 | 85 | |
| 18 | 2005 | 73 | |
| 19 | 2007 | 63 | |
| 20 | 2017 | 58 |
About Ming Gu
Ming Gu is a scholar working on Computational Theory and Mathematics, Atomic and Molecular Physics, and Optics, Computational Mechanics, Numerical Analysis and Artificial Intelligence, having authored 98 papers that have together received 5.0k indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (54 papers), Electromagnetic Scattering and Analysis (25 papers), Sparse and Compressive Sensing Techniques (22 papers), Advanced Optimization Algorithms Research (18 papers), Numerical Methods and Algorithms (12 papers), Statistical and numerical algorithms (11 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 (238 citations), Computational Theory and Mathematics (1.9k citations), Numerical Analysis (583 citations), Statistical and Nonlinear Physics (607 citations) and Computational Mechanics (1.0k citations). Ming Gu has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Stanley C. Eisenstat, Horst D. Simon, Hongyuan Zha, Chris Ding, Shivkumar Chandrasekaran, Jianlin Xia, Xiaofeng He, Xiaofeng He, T. Pals and Xiaoye Sherry Li. 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 Neural Computation.
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.