Aijun Song

90 papers receiving 910 citations

Peers

Aijun Song
Comparison fields: 5 of 42
  • Ocean Engineering 753
  • Oceanography 515
  • Electrical and Electronic Engineering 601
  • 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
Warren L. J. Fox United States
R.F.W. Coates United Kingdom
Hyeonwoo Cho South Korea
Jaehak Chung South Korea
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-authors

The 25 scholars most cited alongside Aijun Song, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Aijun Song Line = papers co-authored together Aijun Song links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200899
2 201170
3 201156
4 201837
5 201033
6 200931
7 201726
8 201824
9 202023
10 201022
11 202022
12 201222
13 201522
14 200820
15 200819
16 201218
17 202217
18 201817
19 201116
20 200516

About Aijun Song

Aijun Song is a scholar working on Ocean Engineering, Oceanography, Electrical and Electronic Engineering, Computer Networks and Communications and Ecology, having authored 96 papers that have together received 937 indexed citations. Recurring topics across this work include Underwater Vehicles and Communication Systems (78 papers), Underwater Acoustics Research (62 papers), Indoor and Outdoor Localization Technologies (38 papers), Energy Harvesting in Wireless Networks (13 papers), Full-Duplex Wireless Communications (9 papers), Advanced Wireless Communication Techniques (8 papers), Wireless Communication Networks Research (6 papers) and Marine animal studies overview (6 papers). The work is most often cited by research in Ocean Engineering (753 citations), Oceanography (515 citations), Electrical and Electronic Engineering (601 citations), Signal Processing (76 citations) and Computer Networks and Communications (72 citations). Aijun Song has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Mohsen Badiey, Feng Tong, Yuehai Zhou, Ali Abdi, 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 The Journal of the Acoustical Society of America, IEEE Journal of Oceanic Engineering, IEEE Transactions on Wireless Communications, IEEE Access and Ad Hoc Networks.

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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