Song Yu

5.3k total citations · 4 hit papers
210 papers, 3.6k citations indexed

About

Song Yu is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Song Yu has authored 210 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 150 papers in Atomic and Molecular Physics, and Optics, 119 papers in Electrical and Electronic Engineering and 72 papers in Artificial Intelligence. Recurrent topics in Song Yu's work include Advanced Fiber Laser Technologies (80 papers), Optical Network Technologies (69 papers) and Quantum Information and Cryptography (67 papers). Song Yu is often cited by papers focused on Advanced Fiber Laser Technologies (80 papers), Optical Network Technologies (69 papers) and Quantum Information and Cryptography (67 papers). Song Yu collaborates with scholars based in China, United States and Canada. Song Yu's co-authors include Hong Guo, Yichen Zhang, Wanyi Gu, Xiangyu Wang, Ziyang Chen, Tianwei Jiang, Zhengyu Li, Vivek N. Prachand, Jeffrey B. Gross and Richard T. Connis and has published in prestigious journals such as Physical Review Letters, Applied Physics Letters and Nature Photonics.

In The Last Decade

Song Yu

186 papers receiving 3.3k citations

Hit Papers

Practice Guidelines for the Perioperative Management of P... 2006 2026 2012 2019 2006 2020 2019 2024 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Song Yu China 27 1.7k 1.5k 1.3k 524 357 210 3.6k
L. Sievers United States 12 773 0.5× 213 0.1× 102 0.1× 91 0.2× 45 0.1× 23 2.5k
J.W.M. Bergmans Netherlands 30 125 0.1× 1.1k 0.7× 181 0.1× 163 0.3× 85 0.2× 185 2.9k
Ronald T. Wakai United States 30 906 0.5× 169 0.1× 50 0.0× 66 0.1× 47 0.1× 107 2.8k
J. Walsh Canada 24 78 0.0× 186 0.1× 52 0.0× 65 0.1× 63 0.2× 99 3.1k
Alan V. Sahakian United States 34 533 0.3× 530 0.4× 61 0.0× 159 0.3× 41 0.1× 139 3.6k
Koji Nakajima Japan 18 170 0.1× 166 0.1× 132 0.1× 68 0.1× 20 0.1× 127 1.4k
M. Eiselt Germany 22 78 0.0× 118 0.1× 55 0.0× 53 0.1× 228 0.6× 77 1.6k
D C Barber United Kingdom 34 63 0.0× 2.5k 1.7× 59 0.0× 630 1.2× 22 0.1× 129 4.4k
Da Zhang China 16 210 0.1× 44 0.0× 114 0.1× 48 0.1× 28 0.1× 63 826
Daniel W. Bliss United States 32 34 0.0× 4.3k 2.8× 302 0.2× 31 0.1× 36 0.1× 203 7.0k

Countries citing papers authored by Song Yu

Since Specialization
Citations

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

Fields of papers citing papers by Song Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Song Yu. A scholar is included among the top collaborators of Song Yu 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 Song Yu. Song Yu 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.
Li, Yang, Lujun Fang, Yichen Zhang, et al.. (2025). Secure Combination of Untrusted Time Information Based on Optimized Dempster–Shafer Theory. IEEE Transactions on Instrumentation and Measurement. 74. 1–9. 1 indexed citations
2.
Zhou, Chao, et al.. (2025). High-Performance Carrier Phase Recovery for Local Local Oscillator Continuous-Variable Quantum Key Distribution. Symmetry. 17(1). 139–139. 2 indexed citations
3.
Wang, Xiangyu, et al.. (2025). Long distance local local oscillator continuous variable quantum key distribution with digital signal processing. ArXiv.org. 2 indexed citations
4.
Wang, Xiangyu, et al.. (2024). Experimental Implementation of Four-User Downstream Access Network Continuous-Variable Quantum Key Distribution. Journal of Lightwave Technology. 42(19). 6662–6670. 5 indexed citations
5.
Yu, Dongrui, et al.. (2024). Microwave frequency transfer over 3000-km fiber based on optical frequency combs and active noise cancellation. Physical Review Research. 6(2). 2 indexed citations
6.
Gao, Hao, Chenxia Liu, Jiahui Cheng, et al.. (2024). Impact of PLL Bandwidth on Stable Frequency Dissemination Over a 2500 Km Optical Fiber. Journal of Lightwave Technology. 42(23). 8144–8151.
7.
Zhang, Yichen, et al.. (2024). Continuous-variable quantum key distribution system: Past, present, and future. Applied Physics Reviews. 11(1). 67 indexed citations breakdown →
8.
Cheng, Jiahui, Yaojun Qiao, Hao Gao, et al.. (2024). A CNN-LSTM Phase Compensation Method for Unidirectional Two-way Radio Frequency Transmission System. IEEE photonics journal. 16(3). 1–8. 1 indexed citations
9.
Li, Ziqi, et al.. (2024). Ultra-narrow linewidth single-longitudinal-mode fiber laser using Nested Fiber Ring and saturable absorber. Optical Fiber Technology. 85. 103784–103784. 4 indexed citations
10.
Liu, Chenxia, et al.. (2023). Phase-Modulation-Based Stable Radio Frequency Transmission via 125 km Fiber Optic Link. IEEE photonics journal. 15(3). 1–5. 4 indexed citations
11.
Wang, Xiangyu, et al.. (2023). Experimental Demonstration of LLO Continuous-Variable Quantum Key Distribution With Polarization Loss Compensation. IEEE photonics journal. 15(2). 1–9. 7 indexed citations
12.
Gao, Hao, Jiahui Cheng, Chenxia Liu, et al.. (2023). Multi-nodes dissemination of stable radio frequency with 10−17 instability over 2000 km optical fiber. Optics Express. 31(16). 25598–25598. 6 indexed citations
14.
Li, Yang, Yan Pan, Wei Huang, et al.. (2023). Secure Two-Way Fiber-Optic Time Transfer Against Sub-ns Asymmetric Delay Attack With Clock Model-Based Detection and Mitigation Scheme. IEEE Transactions on Instrumentation and Measurement. 72. 1–14. 8 indexed citations
15.
Wang, Xiangyu, et al.. (2023). Non-Gaussian Reconciliation for Continuous-Variable Quantum Key Distribution. Physical Review Applied. 19(5). 10 indexed citations
16.
Zhu, Yibo, et al.. (2022). 21 Gbps Source-Independent Quantum Random Number Generator Based on Vacuum Fluctuations. 2140–2142. 1 indexed citations
17.
Wu, Ruihuan, Tianwei Jiang, Song Yu, Jianming Shang, & Wanyi Gu. (2019). Multi-Order Nonlinear Distortions Analysis and Suppression in Phase Modulation Microwave Photonics Link. Journal of Lightwave Technology. 37(24). 5973–5981. 16 indexed citations
18.
Zhang, Yichen, et al.. (2019). Improvement of unidimensional continuous-variable quantum key distribution systems by using a phase-sensitive amplifier. Journal of Physics B Atomic Molecular and Optical Physics. 52(22). 225502–225502. 8 indexed citations
19.
Zhang, Gong, Jing Yan Haw, Hong Cai, et al.. (2019). An integrated silicon photonic chip platform for continuous-variable quantum key distribution. Nature Photonics. 13(12). 839–842. 240 indexed citations breakdown →
20.
Liu, Chenxia, et al.. (2019). Stabilized Radio Frequency Transfer via 100 km Urban Optical Fiber Link Using Passive Compensation Method. IEEE Access. 7. 97487–97491. 11 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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