Hee Chun Song

1.2k citations
28 papers · 974 indexed · h-index 8

Hee Chun Song

26 papers receiving 914 citations

Peers

Hee Chun Song
Comparison fields: 5 of 37
  • Ocean Engineering 834
  • Oceanography 635
  • Biomedical Engineering 581
  • Electrical and Electronic Engineering 290
  • Mechanics of Materials 140
Replace Geoffrey F. Edelmann with:
Geoffrey F. Edelmann United States
D. Rouseff United States
Timofey Savelyev Netherlands
Long Gang Wang China
Irma Shamatava United States
Jeffrey Sichina United States
Giancarlo Prisco Italy
Marc A. Ressler United States
Christine Letrou France
Cedric A. Zala Canada
Hee Chun Song relative to Geoffrey F. Edelmann United States Geoffrey F. Edelmann's profile →
Citations per field
00.5×1.5×
Geoffrey F. Edelmann · 1×
Citations per year

Countries citing papers authored by Hee Chun Song

Since Specialization
Citations

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

Fields of papers citing papers by Hee Chun Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hee Chun Song

This figure shows the co-authorship network connecting the top 25 collaborators of Hee Chun Song. A scholar is included among the top collaborators of Hee Chun 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 Hee Chun Song. Hee Chun 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
#WorkIndexed citations
1 11
2 40
3 3
4
A nonreciprocal implementation of time reversal in the ocean. J. Acoust. Soc. Am. 116, 1009-1015
4
5 4
6 1
7 4
8 2
9 232
10 4
11 4
12 1
13 429
14 1
15 67
16 89
17 2
18 3
19 0
20 6

About Hee Chun Song

Hee Chun Song is a scholar working on Oceanography, Ocean Engineering and Biomedical Engineering, having authored 28 papers that have together received 974 indexed citations. Recurring topics across this work include Underwater Acoustics Research (26 papers), Geophysical Methods and Applications (17 papers) and Microwave Imaging and Scattering Analysis (12 papers). The work is most often cited by research in Ocean Engineering (834 citations), Oceanography (635 citations) and Acoustics and Ultrasonics (19 citations). Hee Chun Song has collaborated with scholars based in United States, Italy and France. Frequent co-authors include William S. Hodgkiss, W. A. Kuperman, T. Akal, Darrell R. Jackson, C. Ferla, Geoffrey F. Edelmann, Seong‐Il Kim, Philippe Roux, Mark Stevenson and A. B. Baggeroer. Their work appears in journals such as The Journal of the Acoustical Society of America, IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control and IEEE Journal of Oceanic Engineering.

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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