Chuanyu Fu

32 total papers · 569 total citations
23 papers, 446 citations indexed

About

Chuanyu Fu is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Artificial Intelligence. According to data from OpenAlex, Chuanyu Fu has authored 23 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Electrical and Electronic Engineering, 7 papers in Cellular and Molecular Neuroscience and 4 papers in Artificial Intelligence. Recurrent topics in Chuanyu Fu's work include Advanced Memory and Neural Computing (13 papers), Neuroscience and Neural Engineering (5 papers) and CCD and CMOS Imaging Sensors (5 papers). Chuanyu Fu is often cited by papers focused on Advanced Memory and Neural Computing (13 papers), Neuroscience and Neural Engineering (5 papers) and CCD and CMOS Imaging Sensors (5 papers). Chuanyu Fu collaborates with scholars based in China and Japan. Chuanyu Fu's co-authors include Changjin Wan, Ao Liu, Yixin Zhu, Huiwu Mao, Fukai Shan, Shuo Ke, Xiangjing Wang, Ying Zhu, Qing Wan and Qing Wan and has published in prestigious journals such as Nature Communications, Applied Physics Letters and ACS Applied Materials & Interfaces.

In The Last Decade

Chuanyu Fu

23 papers receiving 434 citations

Author Peers

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

Author Last Decade Papers Cites
Chuanyu Fu 384 158 94 91 74 23 446
Yixin Zhu 294 0.8× 114 0.7× 70 0.7× 85 0.9× 53 0.7× 19 390
Donggyu Lim 386 1.0× 185 1.2× 94 1.0× 98 1.1× 79 1.1× 19 463
Weijie Qiu 379 1.0× 153 1.0× 118 1.3× 86 0.9× 72 1.0× 31 489
Dong Gue Roe 401 1.0× 195 1.2× 110 1.2× 75 0.8× 70 0.9× 24 475
Amoolya Nirmal 266 0.7× 109 0.7× 77 0.8× 71 0.8× 23 0.3× 26 368
Chaoyi Ban 293 0.8× 90 0.6× 124 1.3× 129 1.4× 21 0.3× 29 436
Jumei Zhou 421 1.1× 207 1.3× 118 1.3× 70 0.8× 37 0.5× 24 441
Hengyuan Wang 328 0.9× 131 0.8× 102 1.1× 89 1.0× 57 0.8× 30 376
Heba Abunahla 410 1.1× 127 0.8× 78 0.8× 60 0.7× 31 0.4× 35 471
Seungho Song 375 1.0× 119 0.8× 85 0.9× 105 1.2× 76 1.0× 19 462

Countries citing papers authored by Chuanyu Fu

Since Specialization
Citations

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

Fields of papers citing papers by Chuanyu Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chuanyu Fu

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