Yaoyuan Wang

53 total papers · 561 total citations
24 papers, 372 citations indexed

About

Yaoyuan Wang is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Yaoyuan Wang has authored 24 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Electrical and Electronic Engineering, 7 papers in Computer Vision and Pattern Recognition and 5 papers in Artificial Intelligence. Recurrent topics in Yaoyuan Wang's work include Advanced Memory and Neural Computing (15 papers), Ferroelectric and Negative Capacitance Devices (5 papers) and Neural dynamics and brain function (4 papers). Yaoyuan Wang is often cited by papers focused on Advanced Memory and Neural Computing (15 papers), Ferroelectric and Negative Capacitance Devices (5 papers) and Neural dynamics and brain function (4 papers). Yaoyuan Wang collaborates with scholars based in China, Hong Kong and Singapore. Yaoyuan Wang's co-authors include Luping Shi, Huanglong Li, Ziyang Zhang, Ziyang Zhang, Rong Zhao, Guoqi Li, Mingyuan Ma, Xinglong Ji, Yujie Wu and Yishu Zhang and has published in prestigious journals such as Scientific Reports, ACS Applied Materials & Interfaces and IEEE Transactions on Image Processing.

In The Last Decade

Yaoyuan Wang

24 papers receiving 365 citations

Author Peers

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

Author						Papers	Cites
Yaoyuan Wang	258	117	72	62	61	24	372
Jiawei Xu	170 0.7×	60 0.5×	74 1.0×	83 1.3×	21 0.3×	38	393
Yukun Ding	226 0.9×	45 0.4×	84 1.2×	140 2.3×	28 0.5×	14	392
Byungkook Oh	94 0.4×	50 0.4×	29 0.4×	116 1.9×	44 0.7×	32	444
Wen Li	375 1.5×	182 1.6×	23 0.3×	67 1.1×	30 0.5×	23	423
Chih-Cheng Chang	297 1.2×	120 1.0×	28 0.4×	61 1.0×	22 0.4×	21	379
Yifan Lu	198 0.8×	94 0.8×	92 1.3×	37 0.6×	43 0.7×	30	405
Martino Dazzi	412 1.6×	63 0.5×	29 0.4×	112 1.8×	32 0.5×	12	444
Michael Hofstätter	260 1.0×	65 0.6×	69 1.0×	28 0.5×	53 0.9×	34	365
Lorenz K. Müller	266 1.0×	107 0.9×	87 1.2×	87 1.4×	126 2.1×	20	420
Ahish Shylendra	336 1.3×	57 0.5×	15 0.2×	36 0.6×	16 0.3×	23	373

Countries citing papers authored by Yaoyuan Wang

Since Specialization

Citations

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

Fields of papers citing papers by Yaoyuan Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaoyuan Wang

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