Aijun Song

1.2k total citations
96 papers, 927 citations indexed

About

Aijun Song is a scholar working on Ocean Engineering, Oceanography and Electrical and Electronic Engineering. According to data from OpenAlex, Aijun Song has authored 96 papers receiving a total of 927 indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Ocean Engineering, 62 papers in Oceanography and 59 papers in Electrical and Electronic Engineering. Recurrent topics in Aijun Song's work include Underwater Vehicles and Communication Systems (78 papers), Underwater Acoustics Research (62 papers) and Indoor and Outdoor Localization Technologies (38 papers). Aijun Song is often cited by papers focused on Underwater Vehicles and Communication Systems (78 papers), Underwater Acoustics Research (62 papers) and Indoor and Outdoor Localization Technologies (38 papers). Aijun Song collaborates with scholars based in United States, China and Hong Kong. Aijun Song's 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 and has published in prestigious journals such as IEEE Transactions on Signal Processing, The Journal of the Acoustical Society of America and IEEE Access.

In The Last Decade

Aijun Song

90 papers receiving 898 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aijun Song United States 17 747 599 513 76 72 96 927
Songzuo Liu China 18 778 1.0× 565 0.9× 482 0.9× 113 1.5× 102 1.4× 94 1.1k
Daniel Kilfoyle United States 4 841 1.1× 592 1.0× 501 1.0× 43 0.6× 155 2.2× 6 900
Dajun Sun China 17 620 0.8× 382 0.6× 452 0.9× 161 2.1× 69 1.0× 115 909
François-Xavier Socheleau France 12 279 0.4× 267 0.4× 222 0.4× 83 1.1× 87 1.2× 30 496
Geoffrey F. Edelmann United States 10 633 0.8× 328 0.5× 491 1.0× 145 1.9× 39 0.5× 47 881
R.F.W. Coates United Kingdom 8 283 0.4× 213 0.4× 161 0.3× 36 0.5× 95 1.3× 20 421
Azizul H. Quazi United States 7 156 0.2× 221 0.4× 119 0.2× 196 2.6× 58 0.8× 14 536
Jaehak Chung South Korea 14 121 0.2× 622 1.0× 121 0.2× 71 0.9× 278 3.9× 73 865
Hyeonwoo Cho South Korea 14 326 0.4× 77 0.1× 191 0.4× 60 0.8× 25 0.3× 47 607
Sea-Moon Kim South Korea 11 219 0.3× 104 0.2× 125 0.2× 37 0.5× 19 0.3× 50 335

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
1.
Wei, Yan, et al.. (2024). Low Computational Complexity RLS-Based Decision-Feedback Equalization in Underwater Acoustic Communications. IEEE Journal of Oceanic Engineering. 49(3). 1067–1088. 5 indexed citations
2.
Guo, Zheng, et al.. (2024). Joint Equalization and Self-Interference Cancellation for Underwater Acoustic In-Band Full-Duplex Communication. IEEE Journal of Oceanic Engineering. 49(2). 542–552. 2 indexed citations
3.
Guo, Zheng, et al.. (2023). Lake Experimentation of in-Band Full-Duplex Underwater Acoustic Communications With a Receiving Array. IEEE Access. 11. 20741–20754. 2 indexed citations
4.
Pu, Lina, et al.. (2023). Pioneering time-of-arrival localization with cable-free and battery-free transponders. The Journal of the Acoustical Society of America. 154(4_supplement). A307–A308.
5.
Song, Aijun, et al.. (2022). Reinforcement Learning-Based Trajectory Optimization for Data Muling With Underwater Mobile Nodes. IEEE Access. 10. 38774–38784. 4 indexed citations
6.
Tao, Qiuyang, et al.. (2021). First Step Towards μNet: Open-Access Aquatic Testbeds and Robotic Ecosystem. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–8. 6 indexed citations
7.
Tao, Qiuyang, et al.. (2019). Omnidirectional Surface Vehicle for Evaluating Underwater Acoustic Communication Performance in Confined Space. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 5. 1–2. 1 indexed citations
8.
Yu, Jiancheng, et al.. (2018). Underwater acoustic intensity field reconstruction by kriged compressive sensing. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–8. 3 indexed citations
9.
Song, Aijun, et al.. (2017). Underwater acoustic field reconstruction using a compressive sensing approach. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 3 indexed citations
10.
Zhou, Yuehai, Aijun Song, & Feng Tong. (2017). Underwater acoustic channel characteristics and communication performance at 85 kHz. The Journal of the Acoustical Society of America. 142(4). EL350–EL355. 26 indexed citations
11.
Badiey, Mohsen, et al.. (2016). Time reversal acoustic communication receivers: DSP implementation and fast channel estimation. Physical Communication. 19. 38–46. 1 indexed citations
12.
Song, Aijun, et al.. (2016). Optimization of LDPC Codes over the Underwater Acoustic Channel. International Journal of Distributed Sensor Networks. 12(2). 8906985–8906985. 3 indexed citations
13.
Li, Li, Aijun Song, Leonard J. Cimini, Xiang‐Gen Xia, & Chien‐Chung Shen. (2015). Interference cancellation in in-band full-duplex underwater acoustic systems. 1–6. 22 indexed citations
14.
Song, Aijun, et al.. (2014). Performance of adaptive multichannel decision-feedback equalization in the simulated underwater acoustic channel. The Journal of the Acoustical Society of America. 136(4_Supplement). 2148–2148. 1 indexed citations
15.
Badiey, Mohsen, Lin Wan, & Aijun Song. (2013). Three-dimensional mapping of evolving internal waves during the Shallow Water 2006 experiment. The Journal of the Acoustical Society of America. 134(1). EL7–EL13. 14 indexed citations
16.
Song, Aijun, et al.. (2007). Study of nonlinear identification of time series of vibration on transducer in ultrasonic bonding system. Acta Physica Sinica. 56(7). 3820–3820. 3 indexed citations
17.
Song, Aijun & Mohsen Badiey. (2005). Sparse channel estimation for underwater acoustic communication channels. The Journal of the Acoustical Society of America. 118(3_Supplement). 2039–2039. 4 indexed citations
18.
Song, Aijun, Genyuan Wang, Weifeng Su, & Xiang‐Gen Xia. (2004). Unitary space-time codes from Alamouti's scheme with APSK signals. IEEE Transactions on Wireless Communications. 3(6). 2374–2384. 9 indexed citations
19.
20.
Song, Aijun, Genyuan Wang, Weifeng Su, & Xiang‐Gen Xia. (2003). Unitary alamouti code design from apsk signals with fast maximum-likelihoo'd decoding algorithm. 6. 210–210. 1 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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