Pai Peng

68 total papers · 809 total citations
46 papers, 600 citations indexed

About

Pai Peng is a scholar working on Biomedical Engineering, Electronic, Optical and Magnetic Materials and Aerospace Engineering. According to data from OpenAlex, Pai Peng has authored 46 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Biomedical Engineering, 30 papers in Electronic, Optical and Magnetic Materials and 16 papers in Aerospace Engineering. Recurrent topics in Pai Peng's work include Acoustic Wave Phenomena Research (34 papers), Metamaterials and Metasurfaces Applications (29 papers) and Underwater Acoustics Research (8 papers). Pai Peng is often cited by papers focused on Acoustic Wave Phenomena Research (34 papers), Metamaterials and Metasurfaces Applications (29 papers) and Underwater Acoustics Research (8 papers). Pai Peng collaborates with scholars based in China, Saudi Arabia and France. Pai Peng's co-authors include Qiujiao Du, Yi Zeng, Ying Wu, Hongwu Yang, Zhengyou Liu, Yanlong Xu, Manzhu Ke, Badreddine Assouar, Chunyin Qiu and Xu Yang and has published in prestigious journals such as Physical Review Letters, Nano Letters and Applied Physics Letters.

In The Last Decade

Pai Peng

42 papers receiving 580 citations

Author Peers

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

Author Last Decade Papers Cites
Pai Peng 546 267 126 100 85 46 600
Christopher N. Layman 456 0.8× 210 0.8× 140 1.1× 60 0.6× 151 1.8× 22 564
Hong‐Tao Zhou 371 0.7× 271 1.0× 183 1.5× 79 0.8× 100 1.2× 34 575
Matthew D. Guild 504 0.9× 337 1.3× 214 1.7× 70 0.7× 73 0.9× 40 627
Alfonso Climente 486 0.9× 264 1.0× 189 1.5× 72 0.7× 43 0.5× 15 554
David C. Calvo 464 0.8× 209 0.8× 147 1.2× 48 0.5× 149 1.8× 18 543
Charles Croënne 504 0.9× 340 1.3× 240 1.9× 70 0.7× 56 0.7× 35 667
Xiaoshi Su 467 0.9× 315 1.2× 174 1.4× 72 0.7× 75 0.9× 20 551
Matthieu Rupin 445 0.8× 238 0.9× 117 0.9× 80 0.8× 32 0.4× 18 526
Liang-Wu Cai 394 0.7× 178 0.7× 120 1.0× 118 1.2× 69 0.8× 26 514
Sami Karkar 371 0.7× 183 0.7× 182 1.4× 55 0.6× 27 0.3× 32 648

Countries citing papers authored by Pai Peng

Since Specialization
Citations

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

Fields of papers citing papers by Pai Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pai Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Pai Peng. A scholar is included among the top collaborators of Pai 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 Pai Peng. Pai 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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