Xiaofei Peng

1.7k citations
72 papers · 1.4k · h-index 22

Impact in

Papers in

    • Renal Diseases and Glomerulopathies 13
    • Advanced Optimization Algorithms Research 8
    • Iterative Methods for Nonlinear Equations 4

Xiaofei Peng

67 papers receiving 1.3k citations

Peers

Xiaofei Peng
Comparison fields: 5 of 120
  • Nephrology 315
  • Numerical Analysis 130
  • Otorhinolaryngology 47
  • Computational Mathematics 7
  • Computational Theory and Mathematics 175
Replace Joseph Scott McNally with:
Joseph Scott McNally United States
Juan Peng China
John Y. Chiang Taiwan
Wei Xiao Zhang China
Jianhui Chen China
Ziyi Zhou China
Cheng‐Chao Ruan China
Chih‐Sheng Chu Taiwan
Xiaofei Peng relative to Joseph Scott McNally United States Joseph Scott McNally's profile →
Citations per field
00.5×5×10×15×21.9×
Joseph Scott McNally · 1×
Citations per year

Countries citing papers authored by Xiaofei Peng

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Xiaofei Peng Line = papers co-authored together Xiaofei Peng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017122
2 201488
3 201579
4 201466
5 201864
6 202352
7 201648
8 201543
9 202242
10 201541
11 201640
12 201836
13 201635
14 202132
15 201731
16 201128
17 201928
18 201926
19 201325
20 201325

About Xiaofei Peng

Xiaofei Peng is a scholar working on Nephrology, Numerical Analysis, Computational Theory and Mathematics, Computational Mathematics and Computational Mechanics, having authored 72 papers that have together received 1.4k indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (16 papers), Renal Diseases and Glomerulopathies (13 papers), Advanced Optimization Algorithms Research (8 papers), Electromagnetic Scattering and Analysis (7 papers), Advanced Numerical Methods in Computational Mathematics (5 papers), Iterative Methods for Nonlinear Equations (4 papers), Sparse and Compressive Sensing Techniques (4 papers) and Tensor decomposition and applications (4 papers). The work is most often cited by research in Nephrology (315 citations), Numerical Analysis (130 citations), Otorhinolaryngology (47 citations), Computational Mathematics (7 citations) and Computational Theory and Mathematics (175 citations). Xiaofei Peng has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Liyu He, Youming Peng, Hong Liu, Fuyou Liu, Guoyong Liu, Wen Li, Chengyuan Tang, Jiefu Zhu, Xian Chen and Wen Li. Their work appears in journals such as American Journal of Nephrology, Renal Failure, Applied Mathematics and Computation, Numerical Algorithms and Journal of Computational and Applied 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.

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