Meng Song

35 total papers · 551 total citations
23 papers, 365 citations indexed

About

Meng Song is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Meng Song has authored 23 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Materials Chemistry, 8 papers in Atomic and Molecular Physics, and Optics and 8 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Meng Song's work include Graphene research and applications (8 papers), 2D Materials and Applications (6 papers) and MXene and MAX Phase Materials (4 papers). Meng Song is often cited by papers focused on Graphene research and applications (8 papers), 2D Materials and Applications (6 papers) and MXene and MAX Phase Materials (4 papers). Meng Song collaborates with scholars based in China, Japan and Switzerland. Meng Song's co-authors include Guoying Gao, K.L. Yao, Jun Chen, Zinan Liu, Yimin Xiong, Liang Cao, Yihao Wang, Pei Zhao, Zhi-Hao Li and Langsheng Ling and has published in prestigious journals such as Nature Communications, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

Meng Song

21 papers receiving 354 citations

Author Peers

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

Author Last Decade Papers Cites
Meng Song 255 189 84 70 61 23 365
Donghan Kim 109 0.4× 138 0.7× 133 1.6× 37 0.5× 131 2.1× 18 303
James M. Taylor 149 0.6× 178 0.9× 210 2.5× 80 1.1× 119 2.0× 20 390
G. Molnár 145 0.6× 57 0.3× 143 1.7× 120 1.7× 13 0.2× 28 317
Alan Molinari 217 0.9× 216 1.1× 83 1.0× 141 2.0× 68 1.1× 20 389
T. White 74 0.3× 62 0.3× 57 0.7× 143 2.0× 72 1.2× 32 357
Qiong Wu 98 0.4× 205 1.1× 170 2.0× 67 1.0× 94 1.5× 32 329
Ahmet Emre Kasapoğlu 236 0.9× 42 0.2× 20 0.2× 110 1.6× 54 0.9× 35 363
Yue Li 108 0.4× 109 0.6× 157 1.9× 38 0.5× 186 3.0× 31 338
Loghman Jamilpanah 216 0.8× 136 0.7× 88 1.0× 154 2.2× 20 0.3× 35 344
Chun-Sheng Zhou 160 0.6× 35 0.2× 133 1.6× 179 2.6× 76 1.2× 20 372

Countries citing papers authored by Meng Song

Since Specialization
Citations

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

Fields of papers citing papers by Meng Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meng Song

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