Peng Gu

62 total papers · 1.7k total citations
49 papers, 1.2k citations indexed

About

Peng Gu is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Hardware and Architecture. According to data from OpenAlex, Peng Gu has authored 49 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Electrical and Electronic Engineering, 16 papers in Computer Networks and Communications and 16 papers in Hardware and Architecture. Recurrent topics in Peng Gu's work include Advanced Memory and Neural Computing (14 papers), Parallel Computing and Optimization Techniques (10 papers) and Advanced Data Storage Technologies (10 papers). Peng Gu is often cited by papers focused on Advanced Memory and Neural Computing (14 papers), Parallel Computing and Optimization Techniques (10 papers) and Advanced Data Storage Technologies (10 papers). Peng Gu collaborates with scholars based in United States, China and Taiwan. Peng Gu's co-authors include Yuan Xie, Huazhong Yang, Boxun Li, Yu Wang, Lixue Xia, Tianqi Tang, Yu Cao, Shimeng Yu, Shuangchen Li and Wenqin Huangfu and has published in prestigious journals such as Journal of Applied Physics, International Journal of Production Research and IEEE Transactions on Computers.

In The Last Decade

Peng Gu

46 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Peng Gu 877 316 297 287 193 49 1.2k
Saransh Gupta 978 1.1× 261 0.8× 313 1.1× 199 0.7× 186 1.0× 52 1.2k
Xuan Zhang 782 0.9× 252 0.8× 280 0.9× 204 0.7× 81 0.4× 89 1.3k
Jiliang Zhang 655 0.7× 622 2.0× 483 1.6× 204 0.7× 227 1.2× 84 1.3k
Baibhab Chatterjee 593 0.7× 181 0.6× 217 0.7× 218 0.8× 95 0.5× 84 1.1k
Xing Hu 845 1.0× 272 0.9× 613 2.1× 205 0.7× 108 0.6× 62 1.4k
Izzat El Hajj 568 0.6× 430 1.4× 190 0.6× 291 1.0× 48 0.2× 58 978
Mingu Kang 891 1.0× 211 0.7× 288 1.0× 107 0.4× 65 0.3× 70 1.2k
Qiao Li 553 0.6× 156 0.5× 174 0.6× 551 1.9× 71 0.4× 114 1.4k
Cong Xu 633 0.7× 193 0.6× 232 0.8× 381 1.3× 99 0.5× 43 1.0k
Indranil Sengupta 627 0.7× 230 0.7× 479 1.6× 267 0.9× 165 0.9× 140 1.2k

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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