Guanggui Ding
- Mathematical Physics top 5%
- Advanced Banach Space Theory 21
- Applied Mathematics top 2%
- Holomorphic and Operator Theory 16
- Algebra and Number Theory top 10%
- Advanced Topics in Algebra 4
- Cancer Research top 10%
- Cancer-related molecular mechanisms research 5
- Geometry and Topology top 10%
- Fixed Point Theorems Analysis 6
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- Approximation Theory and Sequence Spaces 6
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- Lung Cancer Diagnosis and Treatment 5
- Lung Cancer Treatments and Mutations 4
- Journals
- Science China Mathematics (3 papers)Oncology Reports (2 papers)OncoTargets and Therapy (2 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Guanggui Ding
52 papers receiving 578 citations
Peers
Comparison fields: 5 of 70
- Mathematical Physics 283
- Applied Mathematics 225
- Algebra and Number Theory 85
- Cancer Research 169
- Geometry and Topology 51
Countries citing papers authored by Guanggui Ding
This map shows the geographic impact of Guanggui Ding'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 Guanggui Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guanggui Ding more than expected).
Fields of papers citing papers by Guanggui Ding
This network shows the impact of papers produced by Guanggui Ding. 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 Guanggui Ding. The network helps show where Guanggui Ding may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Guanggui Ding, 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 | 2024 | 1 | |
| 2 | 2021 | 8 | |
| 3 | 2021 | 6 | |
| 4 | 2021 | 2 | |
| 5 | 2021 | 4 | |
| 6 | 2019 | 8 | |
| 7 | 2018 | 7 | |
| 8 | 2017 | 90 | |
| 9 | 2017 | 22 | |
| 10 | 2016 | 5 | |
| 11 | Uniportal cVATS lobectomy with partial pulmonary arterioplasty for lung cancer with calcified lymph node | 2015 | 1 |
| 12 | 2015 | 5 | |
| 13 | 2013 | 12 | |
| 14 | 2007 | 2 | |
| 15 | On Extensions and Approximations of Isometric Operators | 2003 | 4 |
| 16 | 2002 | 46 | |
| 17 | 2002 | 1 | |
| 18 | THE UNIFORM BOUNDEDNESS PRINCIPLE IN SOME TOPOLOGICAL VECTOR GROUPS | 2000 | 0 |
| 19 | 1995 | 1 | |
| 20 | 1988 | 13 |
About Guanggui Ding
Guanggui Ding is a scholar working on Mathematical Physics, Applied Mathematics, Geometry and Topology, Algebra and Number Theory and Statistics and Probability, having authored 53 papers that have together received 595 indexed citations. Recurring topics across this work include Advanced Banach Space Theory (21 papers), Holomorphic and Operator Theory (16 papers), Fixed Point Theorems Analysis (6 papers), Approximation Theory and Sequence Spaces (6 papers), Lung Cancer Diagnosis and Treatment (5 papers), Cancer-related molecular mechanisms research (5 papers), Lung Cancer Treatments and Mutations (4 papers) and Advanced Topics in Algebra (4 papers). The work is most often cited by research in Mathematical Physics (283 citations), Applied Mathematics (225 citations), Algebra and Number Theory (85 citations), Cancer Research (169 citations) and Geometry and Topology (51 citations). Guanggui Ding has collaborated with scholars based in China, United States and France. Frequent co-authors include Bin Peng, Yuxin Wen, Tonghai Huang, Guangsuo Wang, Zheng Wang, Lin Yang, Jun Wan, Jianze Li, Jian Wang and Min Zhou. Their work appears in journals such as Science China Mathematics, Oncology Reports, OncoTargets and Therapy, Cancer Biology & Therapy and Illinois Journal of Mathematics.
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.