Peng Gu

46 total papers · 479 total citations
24 papers, 371 citations indexed

About

Peng Gu is a scholar working on Mechanical Engineering, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Peng Gu has authored 24 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Mechanical Engineering, 11 papers in Biomedical Engineering and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Peng Gu's work include Advanced machining processes and optimization (11 papers), Advanced Surface Polishing Techniques (11 papers) and Advanced Machining and Optimization Techniques (9 papers). Peng Gu is often cited by papers focused on Advanced machining processes and optimization (11 papers), Advanced Surface Polishing Techniques (11 papers) and Advanced Machining and Optimization Techniques (9 papers). Peng Gu collaborates with scholars based in China and Italy. Peng Gu's co-authors include Chuanmin Zhu, Xikun Wang, Yiqing Yu, Jun Xu, Wei Tong, Andrea Mura, Hai Hao, L.M. Peng, Hongzhong Xu and Zheng Wang and has published in prestigious journals such as Materials Science and Engineering A, Sensors and International Journal of Environmental Research and Public Health.

In The Last Decade

Peng Gu

22 papers receiving 364 citations

Author Peers

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

Author						Papers	Cites
Peng Gu	317	193	158	52	31	24	371
Basanta Kumar Nanda	279 0.9×	193 1.0×	183 1.2×	19 0.4×	20 0.6×	34	370
Kunyang Lin	355 1.1×	163 0.8×	168 1.1×	40 0.8×	27 0.9×	29	382
Shaoqing Qin	386 1.2×	226 1.2×	156 1.0×	30 0.6×	19 0.6×	19	424
Shujing Wu	318 1.0×	212 1.1×	126 0.8×	21 0.4×	22 0.7×	31	362
Shadab Ahmad	288 0.9×	240 1.2×	147 0.9×	20 0.4×	18 0.6×	34	406
Jie Jiang	258 0.8×	167 0.9×	131 0.8×	36 0.7×	45 1.5×	29	417
Zhichao Niu	323 1.0×	165 0.9×	117 0.7×	77 1.5×	11 0.4×	21	376
G. Ugrasen	390 1.2×	145 0.8×	233 1.5×	47 0.9×	13 0.4×	31	420
Jonas Holmberg	328 1.0×	154 0.8×	146 0.9×	49 0.9×	15 0.5×	29	393
T. Alwarsamy	272 0.9×	79 0.4×	117 0.7×	20 0.4×	16 0.5×	20	423

Countries citing papers authored by Peng Gu

Since Specialization

Citations

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

Fields of papers citing papers by Peng Gu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Gu

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