Meina Wang

48 total papers · 643 total citations
30 papers, 499 citations indexed

About

Meina Wang is a scholar working on Materials Chemistry, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Meina Wang has authored 30 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Materials Chemistry, 7 papers in Molecular Biology and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Meina Wang's work include Nanocluster Synthesis and Applications (5 papers), Quantum Dots Synthesis And Properties (4 papers) and Carbon and Quantum Dots Applications (4 papers). Meina Wang is often cited by papers focused on Nanocluster Synthesis and Applications (5 papers), Quantum Dots Synthesis And Properties (4 papers) and Carbon and Quantum Dots Applications (4 papers). Meina Wang collaborates with scholars based in China, United States and Sweden. Meina Wang's co-authors include Chuanbao Cao, Haibo Wu, Chen Huang, Xin Chen, Xiangyu Jin, Hong Wang, Dan Xiao, Baozhan Zheng, Juan Du and Lizhen Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Meina Wang

29 papers receiving 498 citations

Author Peers

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

Author Last Decade Papers Cites
Meina Wang 220 171 98 74 65 30 499
Yuzhu Chen 166 0.8× 301 1.8× 135 1.4× 71 1.0× 101 1.6× 33 611
Mengyuan Song 115 0.5× 111 0.6× 51 0.5× 45 0.6× 52 0.8× 40 455
Yinghui Bian 154 0.7× 326 1.9× 53 0.5× 61 0.8× 67 1.0× 26 488
Leonardo Espinosa-Leal 146 0.7× 60 0.4× 160 1.6× 40 0.5× 88 1.4× 36 600
Guangmin Li 191 0.9× 163 1.0× 35 0.4× 61 0.8× 56 0.9× 35 485
Danyang Zhang 234 1.1× 129 0.8× 34 0.3× 33 0.4× 48 0.7× 32 608
Xin Cui 133 0.6× 307 1.8× 27 0.3× 59 0.8× 170 2.6× 36 537
Xiaoqing Li 231 1.1× 119 0.7× 111 1.1× 17 0.2× 19 0.3× 36 476
Lantian Zhang 239 1.1× 78 0.5× 75 0.8× 19 0.3× 82 1.3× 44 585
Shuai Yan 102 0.5× 150 0.9× 53 0.5× 27 0.4× 72 1.1× 41 485

Countries citing papers authored by Meina Wang

Since Specialization
Citations

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

Fields of papers citing papers by Meina Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meina Wang

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