Bin Song

35 papers and 862 indexed citations i.

About

Bin Song is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Mechanical Engineering. According to data from OpenAlex, Bin Song has authored 35 papers receiving a total of 862 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Biomedical Engineering, 11 papers in Electrical and Electronic Engineering and 11 papers in Mechanical Engineering. Recurrent topics in Bin Song’s work include Microfluidic and Bio-sensing Technologies (10 papers), Micro and Nano Robotics (6 papers) and Orbital Angular Momentum in Optics (4 papers). Bin Song is often cited by papers focused on Microfluidic and Bio-sensing Technologies (10 papers), Micro and Nano Robotics (6 papers) and Orbital Angular Momentum in Optics (4 papers). Bin Song collaborates with scholars based in China, Japan and Hong Kong. Bin Song's co-authors include Dayong Hu, Yongzhen Wang, Linwei Dang, Zhiqiang Zhang, Lin Feng, Songbai He, Deyuan Zhang, Xue Bai, Weimin Shi and Chong Zhang and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Lab on a Chip and Composites Part B Engineering.

In The Last Decade

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

Fields of papers citing papers by Bin Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Bin Song

Since Specialization
Citations

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