Aijun Song

1.2k citations
96 papers · 927 indexed · h-index 17
Topics
Underwater Vehicles and Communication Systems (78 papers)Underwater Acoustics Research (62 papers)Indoor and Outdoor Localization Technologies (38 papers)

In The Last Decade

Aijun Song

90 papers receiving 898 citations

Peers

Aijun Song
Comparison fields: 5 of 41
  • Ocean Engineering 747
  • Electrical and Electronic Engineering 599
  • Oceanography 513
  • Signal Processing 76
  • Computer Networks and Communications 72
Replace Daniel Kilfoyle with:
Daniel Kilfoyle United States
Songzuo Liu China
Geoffrey F. Edelmann United States
Dajun Sun China
François-Xavier Socheleau France
R.F.W. Coates United Kingdom
Jaehak Chung South Korea
Hyeonwoo Cho South Korea
Azizul H. Quazi United States
Scott Reed United Kingdom
Aijun Song relative to Daniel Kilfoyle United States Daniel Kilfoyle's profile →
Citations per field
00.5×4.3×
Daniel Kilfoyle · 1×
Citations per year

Countries citing papers authored by Aijun Song

Since Specialization
Citations

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

Fields of papers citing papers by Aijun Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aijun Song

This figure shows the co-authorship network connecting the top 25 collaborators of Aijun Song. A scholar is included among the top collaborators of Aijun 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 Aijun Song. Aijun 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 5
2 2
3 2
4 0
5 4
6 6
7 1
8 3
9
Underwater acoustic field reconstruction using a compressive sensing approach
3
10 26
11 1
12 3
13 22
14 1
15 14
16 3
17 4
18 9
19 1
20 1

About Aijun Song

Aijun Song is a scholar working on Ocean Engineering, Oceanography and Electrical and Electronic Engineering, having authored 96 papers that have together received 927 indexed citations. Recurring topics across this work include Underwater Vehicles and Communication Systems (78 papers), Underwater Acoustics Research (62 papers) and Indoor and Outdoor Localization Technologies (38 papers). The work is most often cited by research in Ocean Engineering (747 citations), Oceanography (513 citations) and Electrical and Electronic Engineering (599 citations). Aijun Song has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Mohsen Badiey, Feng Tong, Ali Abdi, Yuehai Zhou, William S. Hodgkiss, Paul Hursky, H. C. Song, Vincent K. McDonald, Xiang‐Gen Xia and Michael B. Porter. Their work appears in journals such as IEEE Transactions on Signal Processing, The Journal of the Acoustical Society of America and IEEE Access.

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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