Xiaofei Peng
- Nephrology top 2%
- Renal Diseases and Glomerulopathies 17
- Chronic Kidney Disease and Diabetes 5
- Numerical Analysis top 5%
- Advanced Optimization Algorithms Research 8
- Iterative Methods for Nonlinear Equations 4
- Otorhinolaryngology top 10%
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- Matrix Theory and Algorithms 16
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- Electromagnetic Scattering and Analysis 7
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- Systemic Lupus Erythematosus Research 5
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- Advanced Numerical Methods in Computational Mathematics 5
- Journals
- American Journal of Nephrology (4 papers)Renal Failure (3 papers)Applied Mathematics and Computation (3 papers)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Xiaofei Peng
62 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 120
- Nephrology 317
- Numerical Analysis 126
- Otorhinolaryngology 46
- Computational Theory and Mathematics 166
- Immunology 216
Countries citing papers authored by Xiaofei Peng
This map shows the geographic impact of Xiaofei Peng'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 Xiaofei Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaofei Peng more than expected).
Fields of papers citing papers by Xiaofei Peng
This network shows the impact of papers produced by Xiaofei Peng. 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 Xiaofei Peng. The network helps show where Xiaofei Peng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaofei Peng, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 10 | |
| 5 | 2022 | 26 | |
| 6 | 2021 | 28 | |
| 7 | 2021 | 12 | |
| 8 | 2018 | 61 | |
| 9 | 2017 | 10 | |
| 10 | 2016 | 4 | |
| 11 | 2016 | 14 | |
| 12 | 2015 | 16 | |
| 13 | 2014 | 85 | |
| 14 | 2014 | 60 | |
| 15 | 2014 | 11 | |
| 16 | 2012 | 1 | |
| 17 | 2011 | 27 | |
| 18 | 2010 | 5 | |
| 19 | Localization of nuclide in substantial structure along the Meridian | 2006 | 1 |
| 20 | 2006 | 18 |
About Xiaofei Peng
Xiaofei Peng is a scholar working on Computational Mathematics, Nephrology, Numerical Analysis, Computational Theory and Mathematics and Immunology, having authored 67 papers that have together received 1.1k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (17 papers), Matrix Theory and Algorithms (16 papers), Advanced Optimization Algorithms Research (8 papers), Electromagnetic Scattering and Analysis (7 papers), Chronic Kidney Disease and Diabetes (5 papers), Systemic Lupus Erythematosus Research (5 papers), Advanced Numerical Methods in Computational Mathematics (5 papers) and Iterative Methods for Nonlinear Equations (4 papers). The work is most often cited by research in Nephrology (317 citations), Numerical Analysis (126 citations), Otorhinolaryngology (46 citations), Computational Theory and Mathematics (166 citations) and Immunology (216 citations). Xiaofei Peng has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Liyu He, Youming Peng, Hong Liu, Fuyou Liu, Guoyong Liu, Wen Li, Chengyuan Tang, Jiefu Zhu, Xian Chen and Shifeng Huang. Their work appears in journals such as American Journal of Nephrology, Renal Failure, Applied Mathematics and Computation, Pharmacology and Numerical Algorithms.
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.