Zhenyun Peng

51 total papers · 638 total citations
41 papers, 519 citations indexed

About

Zhenyun Peng is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Computer Vision and Pattern Recognition. According to data from OpenAlex, Zhenyun Peng has authored 41 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computational Theory and Mathematics, 20 papers in Numerical Analysis and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Zhenyun Peng's work include Matrix Theory and Algorithms (24 papers), Advanced Optimization Algorithms Research (17 papers) and Face recognition and analysis (7 papers). Zhenyun Peng is often cited by papers focused on Matrix Theory and Algorithms (24 papers), Advanced Optimization Algorithms Research (17 papers) and Face recognition and analysis (7 papers). Zhenyun Peng collaborates with scholars based in China and Egypt. Zhenyun Peng's co-authors include Xi-Yan Hu, Lei Zhang, Salah M. El‐Sayed, Yaxin Peng, Yaohui Zhang, Yehu Shen, Tiejun Zhou, Lei Wei, Yabo Chen and Wei Gao and has published in prestigious journals such as Sensors, Applied Mathematics and Computation and Journal of Computational and Applied Mathematics.

In The Last Decade

Zhenyun Peng

39 papers receiving 484 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Zhenyun Peng	389	271	114	71	55	41	519
F. Toutounian	335 0.9×	371 1.4×	82 0.7×	104 1.5×	25 0.5×	61	605
Yuli Eidelman	444 1.1×	200 0.7×	145 1.3×	163 2.3×	25 0.5×	40	573
Haifeng Ma	463 1.2×	180 0.7×	76 0.7×	92 1.3×	37 0.7×	54	613
Hou‐Biao Li	259 0.7×	215 0.8×	68 0.6×	94 1.3×	35 0.6×	65	604
Randall E. Cline	417 1.1×	183 0.7×	96 0.8×	68 1.0×	13 0.2×	17	501
R. E. Funderlic	282 0.7×	101 0.4×	75 0.7×	24 0.3×	36 0.7×	22	519
Achiya Dax	286 0.7×	236 0.9×	78 0.7×	31 0.4×	46 0.8×	72	562
Heike Faßbender	296 0.8×	185 0.7×	61 0.5×	82 1.2×	12 0.2×	58	499
Ali Messaoudi	373 1.0×	189 0.7×	58 0.5×	115 1.6×	17 0.3×	43	483
Eugene D. Denman	243 0.6×	141 0.5×	30 0.3×	70 1.0×	19 0.3×	39	466

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

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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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