Peikun Liu

123 total papers · 1.0k total citations
92 papers, 741 citations indexed

About

Peikun Liu is a scholar working on Computational Mechanics, Electrical and Electronic Engineering and Surgery. According to data from OpenAlex, Peikun Liu has authored 92 papers receiving a total of 741 indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Computational Mechanics, 53 papers in Electrical and Electronic Engineering and 13 papers in Surgery. Recurrent topics in Peikun Liu's work include Cyclone Separators and Fluid Dynamics (58 papers), Aerosol Filtration and Electrostatic Precipitation (48 papers) and Granular flow and fluidized beds (26 papers). Peikun Liu is often cited by papers focused on Cyclone Separators and Fluid Dynamics (58 papers), Aerosol Filtration and Electrostatic Precipitation (48 papers) and Granular flow and fluidized beds (26 papers). Peikun Liu collaborates with scholars based in China and United Kingdom. Peikun Liu's co-authors include Xinghua Yang, Yuekan Zhang, Lanyue Jiang, Feng Li, Xiaoyu Li, Hui Wang, Hui Wang, Yaqin Zhao, Zhenbo Wang and Zhiqiang Gong and has published in prestigious journals such as Journal of Cleaner Production, Scientific Reports and Physics in Medicine and Biology.

In The Last Decade

Peikun Liu

82 papers receiving 722 citations

Author Peers

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

Author Last Decade Papers Cites
Peikun Liu 513 420 162 135 135 92 741
Yuekan Zhang 502 1.0× 407 1.0× 149 0.9× 119 0.9× 103 0.8× 62 620
Xinghua Yang 484 0.9× 449 1.1× 157 1.0× 148 1.1× 98 0.7× 67 695
Kaixuan Zhang 287 0.6× 214 0.5× 89 0.5× 138 1.0× 20 0.1× 75 852
Wenwei Liu 350 0.7× 153 0.4× 25 0.2× 129 1.0× 20 0.1× 70 772
Arman Hemmati 401 0.8× 82 0.2× 341 2.1× 131 1.0× 50 0.4× 71 748
Gang Xu 142 0.3× 147 0.3× 156 1.0× 45 0.3× 36 0.3× 77 630
Eugene D. Skouras 353 0.7× 127 0.3× 23 0.1× 206 1.5× 29 0.2× 52 758
Meng Wu 213 0.4× 149 0.4× 140 0.9× 131 1.0× 9 0.1× 87 901
Sheng Chen 408 0.8× 137 0.3× 14 0.1× 170 1.3× 34 0.3× 57 888
Shi Ming-xian 598 1.2× 309 0.7× 99 0.6× 147 1.1× 18 0.1× 63 668

Countries citing papers authored by Peikun Liu

Since Specialization
Citations

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

Fields of papers citing papers by Peikun Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peikun Liu

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