Pu Guo

27 total papers · 863 total citations
26 papers, 624 citations indexed

About

Pu Guo is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Polymers and Plastics. According to data from OpenAlex, Pu Guo has authored 26 papers receiving a total of 624 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Electrical and Electronic Engineering, 13 papers in Cellular and Molecular Neuroscience and 10 papers in Polymers and Plastics. Recurrent topics in Pu Guo's work include Advanced Memory and Neural Computing (20 papers), Photoreceptor and optogenetics research (11 papers) and Perovskite Materials and Applications (7 papers). Pu Guo is often cited by papers focused on Advanced Memory and Neural Computing (20 papers), Photoreceptor and optogenetics research (11 papers) and Perovskite Materials and Applications (7 papers). Pu Guo collaborates with scholars based in China, United States and Australia. Pu Guo's co-authors include Jia Huang, Junyao Zhang, Ben Yang, Dandan Hao, Lize Xiong, Ziyi Guo, Shilei Dai, Tongrui Sun, Dapeng Liu and Yan Wang and has published in prestigious journals such as Advanced Materials, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Pu Guo

23 papers receiving 614 citations

Hit Papers

Retina‐Inspired Artificia... 2023 2026 2024 2023 25 50 75 100

Author Peers

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

Author Last Decade Papers Cites
Pu Guo 529 234 185 120 119 26 624
Juxiang Wang 537 1.0× 244 1.0× 198 1.1× 137 1.1× 99 0.8× 17 651
Jianlu Wang 634 1.2× 191 0.8× 121 0.7× 93 0.8× 145 1.2× 24 771
Ye Tao 612 1.2× 233 1.0× 204 1.1× 57 0.5× 69 0.6× 51 732
Zhangsheng Xu 560 1.1× 135 0.6× 126 0.7× 152 1.3× 90 0.8× 18 660
Sohail Abbas 489 0.9× 175 0.7× 107 0.6× 102 0.8× 86 0.7× 14 607
Xiaoyang Yang 582 1.1× 151 0.6× 174 0.9× 81 0.7× 58 0.5× 25 744
Je‐Jun Lee 560 1.1× 205 0.9× 110 0.6× 67 0.6× 118 1.0× 16 626
Shuqiong Lan 719 1.4× 131 0.6× 334 1.8× 205 1.7× 60 0.5× 36 789
Donggang Xie 593 1.1× 160 0.7× 186 1.0× 78 0.7× 132 1.1× 15 778
Jiho Ryu 614 1.2× 256 1.1× 190 1.0× 71 0.6× 58 0.5× 26 736

Countries citing papers authored by Pu Guo

Since Specialization
Citations

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

Fields of papers citing papers by Pu Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pu Guo

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