Heechun Song

34 papers and 334 indexed citations i.

About

Heechun Song is a scholar working on Oceanography, Ocean Engineering and Signal Processing. According to data from OpenAlex, Heechun Song has authored 34 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Oceanography, 27 papers in Ocean Engineering and 10 papers in Signal Processing. Recurrent topics in Heechun Song’s work include Underwater Acoustics Research (32 papers), Underwater Vehicles and Communication Systems (19 papers) and Speech and Audio Processing (10 papers). Heechun Song is often cited by papers focused on Underwater Acoustics Research (32 papers), Underwater Vehicles and Communication Systems (19 papers) and Speech and Audio Processing (10 papers). Heechun Song collaborates with scholars based in United States, Italy and South Korea. Heechun Song's co-authors include William S. Hodgkiss, Karim G. Sabra, Peter Gerstoft, David R. Dowling, W. A. Kuperman, Martin Siderius, SungHyun Nam, Paul Hursky, Chris H. Harrison and Roald Otnes and has published in prestigious journals such as The Journal of the Acoustical Society of America, Applied Sciences and Ocean Engineering.

In The Last Decade

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

Fields of papers citing papers by Heechun Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Heechun Song

Since Specialization
Citations

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