Wenshen Song

12 papers and 367 indexed citations i.

About

Wenshen Song is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Wenshen Song has authored 12 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Materials Chemistry, 5 papers in Electrical and Electronic Engineering and 4 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Wenshen Song’s work include Perovskite Materials and Applications (4 papers), 2D Materials and Applications (4 papers) and MXene and MAX Phase Materials (3 papers). Wenshen Song is often cited by papers focused on Perovskite Materials and Applications (4 papers), 2D Materials and Applications (4 papers) and MXene and MAX Phase Materials (3 papers). Wenshen Song collaborates with scholars based in United States, China and Taiwan. Wenshen Song's co-authors include Li Yang, Ruixiang Fei, David Tománek, Jie Guan, Rucheng Dai, Shuren Lin, Fuyi Yang, Edward S. Barnard, Shuai Lou and Jie Yao and has published in prestigious journals such as Physical Review Letters, ACS Nano and Journal of Materials Chemistry C.

In The Last Decade

Co-authorship network of co-authors of Wenshen Song i

Fields of papers citing papers by Wenshen Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Wenshen Song

Since Specialization
Citations

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

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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2025