Meiyu Wang

46 total papers · 1.1k total citations
35 papers, 792 citations indexed

About

Meiyu Wang is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Meiyu Wang has authored 35 papers receiving a total of 792 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Electrical and Electronic Engineering, 8 papers in Computer Networks and Communications and 8 papers in Artificial Intelligence. Recurrent topics in Meiyu Wang's work include Wireless Signal Modulation Classification (7 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Advancements in Battery Materials (3 papers). Meiyu Wang is often cited by papers focused on Wireless Signal Modulation Classification (7 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Advancements in Battery Materials (3 papers). Meiyu Wang collaborates with scholars based in China, United States and United Kingdom. Meiyu Wang's co-authors include Yun Lin, Qiao Tian, Haojun Zhao, Ya Tu, Xuefei Ma, Guoru Ding, Shiwen Mao, Peng Wang, Zheng Dou and Weifeng Wei and has published in prestigious journals such as Advanced Materials, ACS Applied Materials & Interfaces and IEEE Access.

In The Last Decade

Meiyu Wang

31 papers receiving 774 citations

Author Peers

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

Author Last Decade Papers Cites
Meiyu Wang 394 327 155 148 90 35 792
P. Prakasam 321 0.8× 152 0.5× 44 0.3× 154 1.0× 74 0.8× 79 692
Ling‐Feng Shi 468 1.2× 157 0.5× 354 2.3× 93 0.6× 81 0.9× 73 885
Minseok Choi 211 0.5× 198 0.6× 148 1.0× 219 1.5× 175 1.9× 76 772
Jaehyun Yoo 351 0.9× 114 0.3× 76 0.5× 209 1.4× 96 1.1× 56 727
Yibin Zhang 364 0.9× 229 0.7× 90 0.6× 41 0.3× 37 0.4× 64 648
Dongyang Xu 475 1.2× 127 0.4× 133 0.9× 211 1.4× 40 0.4× 99 754
Lu Wang 280 0.7× 242 0.7× 58 0.4× 263 1.8× 58 0.6× 34 891
Tianqi Yu 197 0.5× 158 0.5× 95 0.6× 257 1.7× 79 0.9× 58 631
Jinzhao Lin 310 0.8× 121 0.4× 80 0.5× 186 1.3× 185 2.1× 80 858
Y. B. Zhao 444 1.1× 131 0.4× 122 0.8× 340 2.3× 64 0.7× 82 867

Countries citing papers authored by Meiyu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Meiyu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meiyu Wang

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