Heechun Song

549 total citations
38 papers, 426 citations indexed

About

Heechun Song is a scholar working on Oceanography, Ocean Engineering and Signal Processing. According to data from OpenAlex, Heechun Song has authored 38 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Oceanography, 31 papers in Ocean Engineering and 11 papers in Signal Processing. Recurrent topics in Heechun Song's work include Underwater Acoustics Research (36 papers), Underwater Vehicles and Communication Systems (23 papers) and Speech and Audio Processing (11 papers). Heechun Song is often cited by papers focused on Underwater Acoustics Research (36 papers), Underwater Vehicles and Communication Systems (23 papers) and Speech and Audio Processing (11 papers). Heechun Song collaborates with scholars based in United States, Italy and South Korea. Heechun Song's co-authors include William S. Hodgkiss, W. A. Kuperman, Peter Gerstoft, Karim G. Sabra, Martin Siderius, David R. Dowling, SungHyun Nam, Roald Otnes, Paul van Walree and Chris H. Harrison 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

Heechun Song

35 papers receiving 410 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Heechun Song United States 10 325 286 119 93 76 38 426
Hanako Ogasawara Japan 13 242 0.7× 188 0.7× 140 1.2× 87 0.9× 68 0.9× 43 353
Andrey K. Morozov United States 13 383 1.2× 305 1.1× 145 1.2× 25 0.3× 32 0.4× 49 496
Alain Maguer Italy 12 291 0.9× 247 0.9× 42 0.4× 57 0.6× 61 0.8× 38 400
Yu. P. Lysanov Russia 4 246 0.8× 291 1.0× 141 1.2× 42 0.5× 33 0.4× 8 426
Orlando Camargo Rodríguez Portugal 9 237 0.7× 175 0.6× 60 0.5× 89 1.0× 16 0.2× 36 305
Harry A. DeFerrari United States 10 273 0.8× 185 0.6× 100 0.8× 11 0.1× 40 0.5× 51 404
Shane Walker United States 11 205 0.6× 131 0.5× 14 0.1× 40 0.4× 49 0.6× 29 310
Shima Abadi United States 9 205 0.6× 93 0.3× 21 0.2× 77 0.8× 48 0.6× 45 298
D.F. Gingras United States 8 263 0.8× 199 0.7× 34 0.3× 64 0.7× 12 0.2× 19 350
Joseph A. Rice United States 13 314 1.0× 528 1.8× 308 2.6× 45 0.5× 16 0.2× 43 601

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).

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.

Co-authorship network of co-authors of Heechun Song

This figure shows the co-authorship network connecting the top 25 collaborators of Heechun Song. A scholar is included among the top collaborators of Heechun Song based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Heechun Song. Heechun Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kim, Dae-Hwan, et al.. (2023). Striation-based beamforming using a horizontal array. The Journal of the Acoustical Society of America. 154(4_supplement). A306–A306.
2.
Song, Heechun & W. A. Kuperman. (2023). Time machine in ocean acoustics. The Journal of the Acoustical Society of America. 153(1). R1–R2. 1 indexed citations
3.
Song, Heechun, et al.. (2019). Remote acoustic illumination using time reversal and a surface ship. The Journal of the Acoustical Society of America. 146(4_Supplement). 2889–2889. 1 indexed citations
4.
Song, Heechun, et al.. (2019). Robust matched field processing for array tilt and environmental mismatch. The Journal of the Acoustical Society of America. 146(4_Supplement). 2962–2962. 1 indexed citations
5.
Song, Heechun. (2018). Classification of multiple source depths in a time-varying ocean environment using a convolutional neural network (CNN). The Journal of the Acoustical Society of America. 144(3_Supplement). 1744–1744.
6.
Richards, Edward, et al.. (2018). Vertical line array tilt revealed through snapping shrimp noise. The Journal of the Acoustical Society of America. 144(3_Supplement). 1921–1921. 1 indexed citations
7.
Song, Heechun, et al.. (2018). Virtual Source Array-Based Multiple Time-Reversal Focusing. Applied Sciences. 8(1). 99–99. 3 indexed citations
8.
Song, Heechun, et al.. (2017). Extension of the array invariant to deep-water environments. The Journal of the Acoustical Society of America. 141(5_Supplement). 4049–4049. 2 indexed citations
9.
Song, Heechun, et al.. (2017). Underwater sound channel in the northeastern East China Sea. Ocean Engineering. 147. 370–374. 39 indexed citations
10.
Song, Heechun, Sea-Moon Kim, Byoung-Nam Kim, & SungHyun Nam. (2016). Shallow-water acoustic variability experiment 2015 (SAVEX15) in the northern East China Sea. The Journal of the Acoustical Society of America. 140(4_Supplement). 3012–3012. 2 indexed citations
11.
Song, Heechun, et al.. (2016). Impact of array tilting on source-range estimation based on the array/waveguide invariant. The Journal of the Acoustical Society of America. 140(4_Supplement). 3172–3172. 1 indexed citations
12.
Nam, SungHyun, et al.. (2016). Seasonal variation of speed and width from kinematic parameters of mode‐1 nonlinear internal waves in the northeastern East China Sea. Journal of Geophysical Research Oceans. 121(8). 5942–5958. 15 indexed citations
13.
Song, Heechun, et al.. (2015). The relation between the waveguide invariant and array invariant. The Journal of the Acoustical Society of America. 138(3_Supplement). 1927–1927. 1 indexed citations
14.
Otnes, Roald, Paul van Walree, & Heechun Song. (2014). Network simulation with lookup tables from physical layer replay simulations: A KAM11 example. 1–5. 2 indexed citations
15.
Song, Heechun & William S. Hodgkiss. (2012). Diversity combining for long-range acoustic communication in deep water using a towed array. The Journal of the Acoustical Society of America. 131(4_Supplement). 3448–3448. 1 indexed citations
16.
Song, Heechun, W. A. Kuperman, & William Hodgkiss. (2008). Basin-scale time reversal communications. The Journal of the Acoustical Society of America. 123(5_Supplement). 3893–3893. 1 indexed citations
17.
Song, Heechun, William S. Hodgkiss, & W. A. Kuperman. (2007). MIMO time reversal communications. 5–5. 13 indexed citations
18.
Song, Heechun, William S. Hodgkiss, W. A. Kuperman, et al.. (2007). Passive reverberation nulling for target enhancement. The Journal of the Acoustical Society of America. 121(5_Supplement). 3048–3048. 1 indexed citations
19.
Sabra, Karim G., Philippe Roux, Heechun Song, et al.. (2005). Experimental demonstration of time-reversed reverberation focusing in a rough waveguide. Application to target detection. The Journal of the Acoustical Society of America. 118(3_Supplement). 1904–1904. 1 indexed citations
20.
Gerstoft, Peter, William S. Hodgkiss, W. A. Kuperman, et al.. (2003). Adaptive beamforming of a towed array during a turn. IEEE Journal of Oceanic Engineering. 28(1). 44–54. 32 indexed citations

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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