Pengpeng Wu

83 total papers · 1.2k total citations
59 papers, 797 citations indexed

About

Pengpeng Wu is a scholar working on Materials Chemistry, Mechanical Engineering and Biomaterials. According to data from OpenAlex, Pengpeng Wu has authored 59 papers receiving a total of 797 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Materials Chemistry, 24 papers in Mechanical Engineering and 16 papers in Biomaterials. Recurrent topics in Pengpeng Wu's work include Corrosion Behavior and Inhibition (22 papers), Magnesium Alloys: Properties and Applications (15 papers) and Aluminum Alloys Composites Properties (14 papers). Pengpeng Wu is often cited by papers focused on Corrosion Behavior and Inhibition (22 papers), Magnesium Alloys: Properties and Applications (15 papers) and Aluminum Alloys Composites Properties (14 papers). Pengpeng Wu collaborates with scholars based in China, Australia and Canada. Pengpeng Wu's co-authors include Guang‐Ling Song, Dajiang Zheng, Yixing Zhu, Kun-kun Deng, Fang-jun Xu, Rui Gao, Baosheng Liu, Jufeng Huang, Yuezhong Zhang and Ziming Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Nano and The Science of The Total Environment.

In The Last Decade

Pengpeng Wu

48 papers receiving 785 citations

Author Peers

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

Author Last Decade Papers Cites
Pengpeng Wu 512 379 351 97 96 59 797
M. Magrini 638 1.2× 420 1.1× 332 0.9× 91 0.9× 105 1.1× 33 789
Yan Li 717 1.4× 568 1.5× 264 0.8× 52 0.5× 95 1.0× 53 938
Chaoneng Dai 505 1.0× 504 1.3× 301 0.9× 53 0.5× 114 1.2× 42 754
Kaihui Dong 739 1.4× 498 1.3× 409 1.2× 115 1.2× 156 1.6× 46 929
Shawei Tang 505 1.0× 380 1.0× 336 1.0× 95 1.0× 143 1.5× 55 859
Zilong Zhao 528 1.0× 530 1.4× 477 1.4× 136 1.4× 125 1.3× 49 895
Maksim Starykevich 865 1.7× 458 1.2× 205 0.6× 59 0.6× 84 0.9× 49 1.0k
Xin Li 390 0.8× 237 0.6× 329 0.9× 148 1.5× 103 1.1× 54 796
Matsufumi TAKAYA 446 0.9× 236 0.6× 258 0.7× 101 1.0× 150 1.6× 59 705
Donghui Yang 413 0.8× 269 0.7× 591 1.7× 100 1.0× 152 1.6× 33 909

Countries citing papers authored by Pengpeng Wu

Since Specialization
Citations

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

Fields of papers citing papers by Pengpeng Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengpeng Wu

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