Meijia Song

29 papers and 542 indexed citations i.

About

Meijia Song is a scholar working on Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials and Biomaterials. According to data from OpenAlex, Meijia Song has authored 29 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Electrical and Electronic Engineering, 10 papers in Electronic, Optical and Magnetic Materials and 9 papers in Biomaterials. Recurrent topics in Meijia Song’s work include Advancements in Battery Materials (22 papers), Advanced Battery Materials and Technologies (14 papers) and Supercapacitor Materials and Fabrication (10 papers). Meijia Song is often cited by papers focused on Advancements in Battery Materials (22 papers), Advanced Battery Materials and Technologies (14 papers) and Supercapacitor Materials and Fabrication (10 papers). Meijia Song collaborates with scholars based in China, United States and Poland. Meijia Song's co-authors include Zhonghua Zhang, Jiazheng Niu, Hui Gao, Wensheng Ma, Zhangquan Peng, Yujun Shi, Chi Zhang, Kuibo Yin, Jingtian Han and Keke Li and has published in prestigious journals such as Nano Letters, ACS Nano and Journal of The Electrochemical Society.

In The Last Decade

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

Fields of papers citing papers by Meijia Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Meijia Song

Since Specialization
Citations

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