Zhenyun Peng

638 citations
41 papers · 521 indexed · h-index 13
Topics
Matrix Theory and Algorithms (24 papers)Advanced Optimization Algorithms Research (17 papers)Face recognition and analysis (7 papers)
Partner nations
ChinaEgypt

In The Last Decade

Zhenyun Peng

39 papers receiving 486 citations

Peers

Zhenyun Peng
Comparison fields: 5 of 52
  • Computational Theory and Mathematics 389
  • Numerical Analysis 271
  • Applied Mathematics 114
  • Atomic and Molecular Physics, and Optics 71
  • Computer Vision and Pattern Recognition 56
Replace F. Toutounian with:
F. Toutounian Iran
Ivan Slapničar Croatia
Yuli Eidelman Israel
Carlo Garoni Italy
Huamin Zhang China
Leonardo Robol Italy
Heike Faßbender Germany
Haifeng Ma China
Eric King‐wah Chu Australia
Guang-Xin Huang China
Zhenyun Peng relative to F. Toutounian Iran F. Toutounian's profile →
Citations per field
00.5×1.5×2.2×
F. Toutounian · 1×
Citations per year

Countries citing papers authored by Zhenyun Peng

Since Specialization
Citations

This map shows the geographic impact of Zhenyun 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 Zhenyun Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhenyun Peng more than expected).

Fields of papers citing papers by Zhenyun Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhenyun 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 Zhenyun Peng. The network helps show where Zhenyun Peng may publish in the future.

Co-authorship network of co-authors of Zhenyun Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenyun Peng. A scholar is included among the top collaborators of Zhenyun Peng 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 Zhenyun Peng. Zhenyun Peng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 9
3 2
4 12
5 18
6 1
7 2
8 4
9 6
10 6
11 32
12 36
13 69
14 10
15
THE INVERSE PROBLEM OF CENTROSYMMETRIC MATRICES WITH A SUBMATRIX CONSTRAINT ∗1)
3
16 79
17 10
18 2
19
Detecting facial features based on color segmentation and KL transform
1
20 1

About Zhenyun Peng

Zhenyun Peng is a scholar working on Numerical Analysis, Computational Mathematics and Computational Theory and Mathematics, having authored 41 papers that have together received 521 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (24 papers), Advanced Optimization Algorithms Research (17 papers) and Face recognition and analysis (7 papers). The work is most often cited by research in Computational Mathematics (35 citations), Numerical Analysis (271 citations) and Computational Theory and Mathematics (389 citations). Zhenyun Peng has collaborated with scholars based in China and Egypt. Frequent co-authors include Xi-Yan Hu, Lei Zhang, Salah M. El‐Sayed, Yaxin Peng, Yaohui Zhang, Yehu Shen, Yabo Chen, Lei Wei, Tiejun Zhou and Xiangyan Zeng. Their work appears in journals such as Sensors, Applied Mathematics and Computation 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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