Yaoyao Fu

65 total papers · 1.2k total citations
45 papers, 895 citations indexed

About

Yaoyao Fu is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Immunology. According to data from OpenAlex, Yaoyao Fu has authored 45 papers receiving a total of 895 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 10 papers in Electrical and Electronic Engineering and 6 papers in Immunology. Recurrent topics in Yaoyao Fu's work include Advanced Memory and Neural Computing (9 papers), Immune Cell Function and Interaction (4 papers) and Ginseng Biological Effects and Applications (4 papers). Yaoyao Fu is often cited by papers focused on Advanced Memory and Neural Computing (9 papers), Immune Cell Function and Interaction (4 papers) and Ginseng Biological Effects and Applications (4 papers). Yaoyao Fu collaborates with scholars based in China, South Korea and Hong Kong. Yaoyao Fu's co-authors include Na Xiong, Jie Yang, Yuhui He, Mingcan Xia, Fuwei Zhuge, Shaomin Hu, Yue Zhou, Yi Li, Boyi Dong and Dae‐Hee Lee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nano Letters.

In The Last Decade

Yaoyao Fu

41 papers receiving 883 citations

Author Peers

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

Author						Papers	Cites
Yaoyao Fu	396	230	166	129	94	45	895
Dong-Ho Lee	219 0.6×	90 0.4×	112 0.7×	27 0.2×	168 1.8×	77	981
Qingzhen Liu	394 1.0×	68 0.3×	140 0.8×	43 0.3×	35 0.4×	72	1.0k
Guiyu Li	193 0.5×	70 0.3×	64 0.4×	37 0.3×	52 0.6×	60	909
Dong Huang	235 0.6×	281 1.2×	25 0.2×	76 0.6×	235 2.5×	74	936
Zixuan Zhao	223 0.6×	95 0.4×	45 0.3×	50 0.4×	293 3.1×	41	794
Tamara L. Kinzer‐Ursem	477 1.2×	44 0.2×	59 0.4×	90 0.7×	249 2.6×	42	1.0k
Dejun Sun	286 0.7×	46 0.2×	245 1.5×	9 0.1×	154 1.6×	48	981
Xianqiang Sun	431 1.1×	53 0.2×	48 0.3×	105 0.8×	236 2.5×	48	895
Ryan Green	253 0.6×	64 0.3×	83 0.5×	50 0.4×	221 2.4×	45	1000
Xiaobei Wang	361 0.9×	40 0.2×	91 0.5×	36 0.3×	126 1.3×	71	992

Countries citing papers authored by Yaoyao Fu

Since Specialization

Citations

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

Fields of papers citing papers by Yaoyao Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaoyao Fu

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