Seongmi Song

14 papers and 139 indexed citations i.

About

Seongmi Song is a scholar working on Biomedical Engineering, Rehabilitation and Cognitive Neuroscience. According to data from OpenAlex, Seongmi Song has authored 14 papers receiving a total of 139 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biomedical Engineering, 3 papers in Rehabilitation and 2 papers in Cognitive Neuroscience. Recurrent topics in Seongmi Song’s work include Prosthetics and Rehabilitation Robotics (4 papers), Muscle activation and electromyography studies (4 papers) and Stroke Rehabilitation and Recovery (3 papers). Seongmi Song is often cited by papers focused on Prosthetics and Rehabilitation Robotics (4 papers), Muscle activation and electromyography studies (4 papers) and Stroke Rehabilitation and Recovery (3 papers). Seongmi Song collaborates with scholars based in United States, Austria and China. Seongmi Song's co-authors include Byoung-Soo Choi, Louis F. Draganich, Li‐Shan Chou, Andrew D. Nordin, Lili Zhou, Jean Wyvratt, Dean Ellison, Richard A. Thompson, E. Schmid and W. Tuszynski and has published in prestigious journals such as Journal of Chromatography A, Journal of Biomechanics and Sensors.

In The Last Decade

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

Fields of papers citing papers by Seongmi Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Seongmi Song

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2026