Kui Ji
Impact in
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- Advanced Topics in Algebra
- Applied Mathematics top 5%
- Holomorphic and Operator Theory
Papers in
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- Holomorphic and Operator Theory 17
- Geometric Analysis and Curvature Flows 4
- Algebraic and Geometric Analysis 3
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- Advanced Operator Algebra Research 12
- Spectral Theory in Mathematical Physics 4
- Co-authors
- Chunlan Jiang (8 shared papers)Ying Deng (4 shared papers)Fei Chen (4 shared papers)Xing Zhao (4 shared papers)Yan Cui (3 shared papers)Xiaosong Li (3 shared papers)Xue Qiao (3 shared papers)Zhijiao Qiao (3 shared papers)
- Journals
- Journal of Functional Analysis (3 papers)The Science of The Total Environment (2 papers)Drug Design Development and Therapy (2 papers)Environmental Pollution (1 paper)BMC Cardiovascular Disorders (1 paper)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Kui Ji
34 papers receiving 351 citations
Peers
Comparison fields: 5 of 91
- Algebra and Number Theory 37
- Applied Mathematics 83
- Health, Toxicology and Mutagenesis 106
- Mathematical Physics 65
- Molecular Medicine 20
Countries citing papers authored by Kui Ji
This map shows the geographic impact of Kui Ji'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 Kui Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kui Ji more than expected).
Fields of papers citing papers by Kui Ji
This network shows the impact of papers produced by Kui Ji. 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 Kui Ji. The network helps show where Kui Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Kui Ji, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 46 | |
| 2 | 2018 | 33 | |
| 3 | 2024 | 30 | |
| 4 | 1991 | 25 | |
| 5 | 2023 | 25 | |
| 6 | 2005 | 25 | |
| 7 | 2016 | 23 | |
| 8 | 2007 | 21 | |
| 9 | 2016 | 20 | |
| 10 | 2023 | 13 | |
| 11 | 2018 | 12 | |
| 12 | 2021 | 12 | |
| 13 | 2021 | 10 | |
| 14 | 2016 | 8 | |
| 15 | 2016 | 8 | |
| 16 | 2014 | 7 | |
| 17 | 2011 | 7 | |
| 18 | 2019 | 7 | |
| 19 | 2023 | 5 | |
| 20 | 2020 | 4 |
About Kui Ji
Kui Ji is a scholar working on Applied Mathematics, Mathematical Physics, Transportation, Geometry and Topology and Health, Toxicology and Mutagenesis, having authored 42 papers that have together received 369 indexed citations. Recurring topics across this work include Holomorphic and Operator Theory (17 papers), Advanced Operator Algebra Research (12 papers), Air Quality and Health Impacts (5 papers), Transportation Planning and Optimization (5 papers), Spectral Theory in Mathematical Physics (4 papers), Geometric Analysis and Curvature Flows (4 papers), Algebraic and Geometric Analysis (3 papers) and Climate Change and Health Impacts (3 papers). The work is most often cited by research in Algebra and Number Theory (37 citations), Applied Mathematics (83 citations), Health, Toxicology and Mutagenesis (106 citations), Mathematical Physics (65 citations) and Molecular Medicine (20 citations). Kui Ji has collaborated with scholars based in China, United States and India. Frequent co-authors include Chunlan Jiang, Ying Deng, Fei Chen, Xing Zhao, Yan Cui, Xiaosong Li, Xue Qiao, Zhijiao Qiao, Bin Luo and Hongyuan Zhou. Their work appears in journals such as Journal of Functional Analysis, The Science of The Total Environment, Drug Design Development and Therapy, Environmental Pollution and BMC Cardiovascular Disorders.
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.