Gao Mingzhe
- Applied Mathematics top 5%
- Geometry and Topology top 5%
- Computational Theory and Mathematics top 10%
- Environmental Chemistry
- Mechanics of Materials
- Co-authors
- Lokenath DebnathMario KrnićJosip PečarićNing LiZhenquan LuChangchun ZouJunsong WangChangqing Yu
- Topics
- Mathematical Inequalities and Applications (21 papers)Mathematics and Applications (14 papers)Matrix Theory and Algorithms (5 papers)
- Journals
- Journal of Mathematical Analysis and ApplicationsMarine and Petroleum GeologyVeterinary Microbiology
- Partner nations
- ChinaUnited States
In The Last Decade
Gao Mingzhe
26 papers receiving 189 citations
Peers
Comparison fields: 5 of 68
- Applied Mathematics 185
- Geometry and Topology 115
- Computational Theory and Mathematics 37
- Environmental Chemistry 19
- Mechanics of Materials 18
Countries citing papers authored by Gao Mingzhe
This map shows the geographic impact of Gao Mingzhe'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 Gao Mingzhe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gao Mingzhe more than expected).
Fields of papers citing papers by Gao Mingzhe
This network shows the impact of papers produced by Gao Mingzhe. 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 Gao Mingzhe. The network helps show where Gao Mingzhe may publish in the future.
Co-authorship network of co-authors of Gao Mingzhe
This figure shows the co-authorship network connecting the top 25 collaborators of Gao Mingzhe. A scholar is included among the top collaborators of Gao Mingzhe 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 Gao Mingzhe. Gao Mingzhe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 17 | |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 23 | |
| 10 | A NEW HILBERT TYPE INTEGRAL INEQUALITY WITH A PARAMETER | 4 |
| 11 | A Hilbert Integral Type Inequality with Non-homogeneous Kernel (pp. 97-108) | 1 |
| 12 | 1 | |
| 13 | A new extension on Hilbert's theorem for double series | 1 |
| 14 | 3 | |
| 15 | 27 | |
| 16 | 0 | |
| 17 | 1 | |
| 18 | 17 | |
| 19 | 32 | |
| 20 | 6 |
About Gao Mingzhe
Gao Mingzhe is a scholar working on Applied Mathematics, Geometry and Topology and Biological Psychiatry, having authored 33 papers that have together received 262 indexed citations. Recurring topics across this work include Mathematical Inequalities and Applications (21 papers), Mathematics and Applications (14 papers) and Matrix Theory and Algorithms (5 papers). The work is most often cited by research in Applied Mathematics (185 citations), Geometry and Topology (115 citations) and Computational Theory and Mathematics (37 citations). Gao Mingzhe has collaborated with scholars based in China and United States. Frequent co-authors include Lokenath Debnath, Mario Krnić, Josip Pečarić, Ning Li, Zhenquan Lu, Changchun Zou, Junsong Wang, Changqing Yu, Wenlong Zhao and Di Xu. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Marine and Petroleum Geology and Veterinary Microbiology.
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.