Le Song

21 papers and 367 indexed citations i.

About

Le Song is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Pollution. According to data from OpenAlex, Le Song has authored 21 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Biomedical Engineering, 8 papers in Electrical and Electronic Engineering and 4 papers in Pollution. Recurrent topics in Le Song’s work include Microfluidic and Bio-sensing Technologies (11 papers), Microfluidic and Capillary Electrophoresis Applications (10 papers) and Heavy metals in environment (4 papers). Le Song is often cited by papers focused on Microfluidic and Bio-sensing Technologies (11 papers), Microfluidic and Capillary Electrophoresis Applications (10 papers) and Heavy metals in environment (4 papers). Le Song collaborates with scholars based in China, United States and United Kingdom. Le Song's co-authors include Liandong Yu, Xiangchun Xuan, Zhantao Han, Wei Zhang, Hui Li, Yilong Zhou, Fawang Zhang, Di Li, Jiasen Zhang and Xinyu Lü and has published in prestigious journals such as Applied Physics Letters, Scientific Reports and Environmental Pollution.

In The Last Decade

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

Fields of papers citing papers by Le Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Le Song

Since Specialization
Citations

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