Yang Song

1.4k total citations
79 papers, 924 citations indexed

About

Yang Song is a scholar working on Electrical and Electronic Engineering, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Yang Song has authored 79 papers receiving a total of 924 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Electrical and Electronic Engineering, 34 papers in Signal Processing and 13 papers in Computer Networks and Communications. Recurrent topics in Yang Song's work include Direction-of-Arrival Estimation Techniques (22 papers), Speech and Audio Processing (19 papers) and Indoor and Outdoor Localization Technologies (17 papers). Yang Song is often cited by papers focused on Direction-of-Arrival Estimation Techniques (22 papers), Speech and Audio Processing (19 papers) and Indoor and Outdoor Localization Technologies (17 papers). Yang Song collaborates with scholars based in Singapore, China and Hong Kong. Yang Song's co-authors include Kainam Thomas Wong, Guofa Cai, Choi Look Law, Wee Peng Tay, Yi Fang, Peter J. Schreier, David Ramírez, Shahid Mumtaz, Valerio Frascolla and Jinming Wen and has published in prestigious journals such as NeuroImage, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Yang Song

73 papers receiving 905 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yang Song Singapore 17 418 320 258 104 98 79 924
Wallace A. Martins Brazil 17 606 1.4× 333 1.0× 198 0.8× 110 1.1× 291 3.0× 104 1.2k
Jong‐Wha Chong South Korea 15 383 0.9× 197 0.6× 137 0.5× 68 0.7× 167 1.7× 111 757
Lütfiye Durak-Ata Türkiye 15 356 0.9× 176 0.6× 182 0.7× 146 1.4× 150 1.5× 116 962
Xionghu Zhong Singapore 17 298 0.7× 622 1.9× 100 0.4× 311 3.0× 64 0.7× 65 1.1k
Fuliang Yin China 18 339 0.8× 552 1.7× 118 0.5× 190 1.8× 211 2.2× 141 1.2k
Hongqing Liu China 15 158 0.4× 219 0.7× 186 0.7× 98 0.9× 75 0.8× 121 901
Marcello L. R. de Campos Brazil 18 663 1.6× 586 1.8× 159 0.6× 98 0.9× 234 2.4× 129 1.5k
Stefania Colonnese Italy 17 378 0.9× 193 0.6× 143 0.6× 85 0.8× 180 1.8× 131 1.0k
Chris J. Bleakley Ireland 20 827 2.0× 256 0.8× 260 1.0× 168 1.6× 398 4.1× 83 1.4k

Countries citing papers authored by Yang Song

Since Specialization
Citations

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

Fields of papers citing papers by Yang Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yang Song

This figure shows the co-authorship network connecting the top 25 collaborators of Yang Song. A scholar is included among the top collaborators of Yang 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 Yang Song. Yang 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.
Song, Yang, Li Mao, Haowen Yang, et al.. (2025). The origin, evolution, and translocation of sex chromosomes in Silurus catfish mediated by transposons. BMC Biology. 23(1). 54–54. 3 indexed citations
2.
Song, Yang, et al.. (2024). PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations. Proceedings of the AAAI Conference on Artificial Intelligence. 38(1). 231–239.
3.
Wong, Kainam Thomas, et al.. (2024). Unequal Directivity Orders Between Two Figure-8 Sensors Perpendicularly Colocated With a Pressure Sensor – Their “Spatial Matched Filter” Beam Steering. IEEE Transactions on Aerospace and Electronic Systems. 60(6). 7575–7594. 1 indexed citations
4.
Tay, Wee Peng, et al.. (2024). PointDifformer: Robust Point Cloud Registration With Neural Diffusion and Transformer. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–15. 14 indexed citations
5.
Song, Yang, et al.. (2024). PRFusion: Toward Effective and Robust Multi-Modal Place Recognition With Image and Point Cloud Fusion. IEEE Transactions on Intelligent Transportation Systems. 25(12). 20523–20534. 3 indexed citations
6.
Song, Yang, et al.. (2023). RobustMat: Neural Diffusion for Street Landmark Patch Matching Under Challenging Environments. IEEE Transactions on Image Processing. 32. 5550–5563. 7 indexed citations
7.
Song, Yang, et al.. (2023). Robust Graph Neural Diffusion for Image Matching. 31. 311–315.
8.
Zhang, Xiaoyu, et al.. (2022). A New Reconfigurable Intelligent-Surface-Assisted LoRa System. IEEE Transactions on Vehicular Technology. 71(8). 9055–9060. 13 indexed citations
9.
Xiang, Hongbiao, Mengwei Li, Shoujun Wang, et al.. (2021). Motion characteristics of untethered swimmer with magnetoelastic material. Smart Materials and Structures. 30(7). 75030–75030. 12 indexed citations
10.
Cai, Guofa, et al.. (2020). Design of an MISO-SWIPT-Aided Code-Index Modulated Multi-Carrier M-DCSK System for e-Health IoT. IEEE Journal on Selected Areas in Communications. 39(2). 311–324. 73 indexed citations
11.
Jiang, Mingxin, et al.. (2019). Visual Object Tracking in RGB‐D Data via Genetic Feature Learning. Complexity. 2019(1). 7 indexed citations
12.
Song, Yang, et al.. (2019). Compressive Privacy for a Linear Dynamical System. IEEE Transactions on Information Forensics and Security. 15. 895–910. 9 indexed citations
13.
Cai, Guofa, Yi Fang, Jinming Wen, et al.. (2019). Multi-Carrier $M$-ary DCSK System With Code Index Modulation: An Efficient Solution for Chaotic Communications. IEEE Journal of Selected Topics in Signal Processing. 13(6). 1375–1386. 77 indexed citations
14.
15.
Song, Yang, et al.. (2016). Canonical correlation analysis of high-dimensional data with very small sample support. Signal Processing. 128. 449–458. 47 indexed citations
16.
Levin‐Schwartz, Yuri, Yang Song, Peter J. Schreier, Vince D. Calhoun, & Tülay Adalı. (2016). Sample-poor estimation of order and common signal subspace with application to fusion of medical imaging data. NeuroImage. 134. 486–493. 24 indexed citations
17.
Song, Yang, et al.. (2016). Bootstrap-based detection of the number of signals correlated across multiple data sets. 610–614. 3 indexed citations
18.
Song, Yang, Hao Yu, & Sai Manoj Pudukotai Dinakarrao. (2014). Reachability-Based Robustness Verification and Optimization of SRAM Dynamic Stability Under Process Variations. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 33(4). 585–598. 5 indexed citations
19.
Song, Yang. (2012). The design and implementation in portable underwater acoustic beacon detection and orientation equipment. Ship Science and Technology.
20.
Wong, Kainam Thomas, et al.. (2011). A Lower Bound of DOA-Estimates by an Array Randomly Subject to Sensor-Breakdown. IEEE Sensors Journal. 12(5). 911–913. 15 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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