Shuiyuan Wang

42 total papers · 3.8k total citations
32 papers, 2.9k citations indexed

About

Shuiyuan Wang is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, Shuiyuan Wang has authored 32 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Electrical and Electronic Engineering, 16 papers in Materials Chemistry and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Shuiyuan Wang's work include Advanced Memory and Neural Computing (24 papers), Ferroelectric and Negative Capacitance Devices (13 papers) and 2D Materials and Applications (12 papers). Shuiyuan Wang is often cited by papers focused on Advanced Memory and Neural Computing (24 papers), Ferroelectric and Negative Capacitance Devices (13 papers) and 2D Materials and Applications (12 papers). Shuiyuan Wang collaborates with scholars based in China, United States and Singapore. Shuiyuan Wang's co-authors include Peng Zhou, Chunsen Liu, David Wei Zhang, Huawei Chen, Yu–Gang Jiang, Ming Liu, Qi Liu, Zhenhan Zhang, Runzhang Xie and Weida Hu and has published in prestigious journals such as Nature, Science and Advanced Materials.

In The Last Decade

Shuiyuan Wang

32 papers receiving 2.9k citations

Hit Papers

Two-dimensional materials... 2018 2026 2020 2023 2020 2018 2021 2021 2022 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Shuiyuan Wang 2.3k 1.5k 583 390 377 32 2.9k
Chunsen Liu 2.5k 1.1× 2.0k 1.3× 427 0.7× 469 1.2× 322 0.9× 51 3.4k
Keun Heo 2.0k 0.9× 1.1k 0.8× 497 0.9× 333 0.9× 251 0.7× 63 2.5k
Huawei Chen 1.9k 0.8× 1.5k 1.0× 458 0.8× 321 0.8× 185 0.5× 41 2.7k
Yongsuk Choi 1.9k 0.9× 1.1k 0.7× 562 1.0× 565 1.4× 260 0.7× 65 2.6k
Lingan Kong 1.8k 0.8× 1.3k 0.9× 548 0.9× 672 1.7× 145 0.4× 49 2.6k
Kumar Virwani 2.8k 1.2× 941 0.6× 660 1.1× 364 0.9× 413 1.1× 50 3.5k
Seyong Oh 2.4k 1.0× 875 0.6× 930 1.6× 445 1.1× 464 1.2× 38 2.9k
Hsinyu Tsai 2.2k 1.0× 1.0k 0.7× 328 0.6× 298 0.8× 440 1.2× 88 2.7k
Shi‐Jun Liang 2.3k 1.0× 2.1k 1.4× 408 0.7× 340 0.9× 246 0.7× 48 3.4k
Dmitry K. Polyushkin 1.7k 0.7× 1.3k 0.9× 215 0.4× 575 1.5× 211 0.6× 30 2.4k

Countries citing papers authored by Shuiyuan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shuiyuan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuiyuan Wang

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