Andrew H. Song

23 papers and 520 indexed citations i.

About

Andrew H. Song is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Andrew H. Song has authored 23 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 7 papers in Cognitive Neuroscience and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Andrew H. Song’s work include AI in cancer detection (8 papers), Blind Source Separation Techniques (5 papers) and Neural dynamics and brain function (5 papers). Andrew H. Song is often cited by papers focused on AI in cancer detection (8 papers), Blind Source Separation Techniques (5 papers) and Neural dynamics and brain function (5 papers). Andrew H. Song collaborates with scholars based in United States, Canada and South Korea. Andrew H. Song's co-authors include Emery N. Brown, Oluwaseun Akeju, Allison E. Hamilos, Patrick L. Purdon, Kara J. Pavone, Francisco Flores, Guillaume Jaume, Faisal Mahmood, Drew F. K. Williamson and Anurag Vaidya and has published in prestigious journals such as Cell, Nature Medicine and Journal of Neuroscience.

In The Last Decade

Co-authorship network of co-authors of Andrew H. Song i

Fields of papers citing papers by Andrew H. Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Andrew H. Song

Since Specialization
Citations

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