Xizi Song

866 total citations
57 papers, 580 citations indexed

About

Xizi Song is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Xizi Song has authored 57 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Biomedical Engineering, 23 papers in Electrical and Electronic Engineering and 17 papers in Cellular and Molecular Neuroscience. Recurrent topics in Xizi Song's work include Electrical and Bioimpedance Tomography (23 papers), Photoacoustic and Ultrasonic Imaging (18 papers) and EEG and Brain-Computer Interfaces (15 papers). Xizi Song is often cited by papers focused on Electrical and Bioimpedance Tomography (23 papers), Photoacoustic and Ultrasonic Imaging (18 papers) and EEG and Brain-Computer Interfaces (15 papers). Xizi Song collaborates with scholars based in China, United States and Hong Kong. Xizi Song's co-authors include Dong Ming, Feng Dong, Yanbin Xu, Feng He, Yufeng Ke, Xingwei An, Xinrui Chen, Minpeng Xu, Xiaosong Gu and Qi Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cerebral Cortex and Environment International.

In The Last Decade

Xizi Song

53 papers receiving 566 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xizi Song China 13 209 205 192 175 89 57 580
Kirill Aristovich United Kingdom 17 386 1.8× 362 1.8× 510 2.7× 231 1.3× 110 1.2× 62 899
Shuo Yang China 13 125 0.6× 66 0.3× 91 0.5× 239 1.4× 38 0.4× 78 586
Jeffrey Ashe United States 14 322 1.5× 188 0.9× 177 0.9× 155 0.9× 34 0.4× 34 916
Chi Woong Mun South Korea 8 249 1.2× 84 0.4× 115 0.6× 174 1.0× 30 0.3× 20 530
Barry McDermott Ireland 11 165 0.8× 71 0.3× 127 0.7× 98 0.6× 38 0.4× 25 354
Rosalind Sadleir United States 18 511 2.4× 183 0.9× 594 3.1× 392 2.2× 85 1.0× 66 1.3k
Adam D. Liston United Kingdom 9 114 0.5× 115 0.6× 184 1.0× 438 2.5× 50 0.6× 12 710
Konstantin Weise Germany 13 110 0.5× 63 0.3× 63 0.3× 270 1.5× 49 0.6× 45 583
P. Kauppinen Finland 14 176 0.8× 43 0.2× 132 0.7× 220 1.3× 14 0.2× 30 601
Samuel Neff United States 11 212 1.0× 156 0.8× 31 0.2× 142 0.8× 11 0.1× 17 772

Countries citing papers authored by Xizi Song

Since Specialization
Citations

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

Fields of papers citing papers by Xizi Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xizi Song

This figure shows the co-authorship network connecting the top 25 collaborators of Xizi Song. A scholar is included among the top collaborators of Xizi 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 Xizi Song. Xizi 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, Xizi, et al.. (2025). Advanced imaging and localization techniques in brain tumor resection: A review for precision tumor removal. Brain Research Bulletin. 230. 111533–111533.
2.
Song, Xizi, et al.. (2024). Synchronous Mapping of Neural Current Source and Sulcus With Acoustoelectric Brain Imaging. IEEE Transactions on Instrumentation and Measurement. 73. 1–10. 1 indexed citations
3.
Song, Xizi, Ruixin Li, Qi Li, et al.. (2024). Multilevel analysis of the central–peripheral–target organ pathway: contributing to recovery after peripheral nerve injury. Neural Regeneration Research. 20(10). 2807–2822. 2 indexed citations
4.
Song, Xizi, et al.. (2024). A Head Phantom Study of Frontal Lobe Epilepsy Localization With Multichannel Acoustoelectric Brain Imaging. IEEE Sensors Journal. 24(19). 30244–30253.
5.
Song, Xizi, et al.. (2023). Acoustoelectric brain imaging with different conductivities and acoustic distributions. Frontiers in Physiology. 14. 1241640–1241640. 1 indexed citations
6.
Song, Xizi, et al.. (2022). The processing network of high-frequency acoustoelectric signal in the living rat brain. Journal of Neural Engineering. 19(5). 56013–56013. 4 indexed citations
7.
Chen, Xinrui, et al.. (2022). In Vivo Transcranial Measurement of Brain Activated Sources with Acoustoelectric Brain Imaging. IEEE Transactions on Instrumentation and Measurement. 1–1. 3 indexed citations
8.
Yuan, Haipeng, et al.. (2022). Ultrasound Pulse Waveform Modulation with Gauss Window for Acoustoelectric Imaging. 2022 IEEE International Ultrasonics Symposium (IUS). 1–3.
9.
10.
Song, Xizi, et al.. (2022). Mathematical Model of Ultrasound Attenuation With Skull Thickness for Transcranial-Focused Ultrasound. Frontiers in Neuroscience. 15. 778616–778616. 18 indexed citations
11.
He, Feng, et al.. (2022). Basic mechanisms of peripheral nerve injury and treatment via electrical stimulation. Neural Regeneration Research. 17(10). 2185–2185. 93 indexed citations
12.
Song, Xizi, et al.. (2022). An adaptive acoustoelectric signal decoding algorithm based on Fourier fitting for brain function imaging. Frontiers in Physiology. 13. 1054103–1054103. 2 indexed citations
13.
Wang, Faqi, Qian Wang, Ling Wang, et al.. (2022). Low-Intensity Focused Ultrasound Stimulation Ameliorates Working Memory Dysfunctions in Vascular Dementia Rats via Improving Neuronal Environment. Frontiers in Aging Neuroscience. 14. 814560–814560. 14 indexed citations
14.
Zhang, Hao, Yanqiu Zhang, Minpeng Xu, et al.. (2021). The Effects of the Structural and Acoustic Parameters of the Skull Model on Transcranial Focused Ultrasound. Sensors. 21(17). 5962–5962. 18 indexed citations
15.
Song, Xizi, et al.. (2019). Noninvasive Acoustoelectric Imaging of Resistivity Distribution Based on Lead Field Theory. IEEE Transactions on Instrumentation and Measurement. 68(12). 4779–4786. 8 indexed citations
16.
Zhao, Xin, Qiong Wu, Yuanyuan Chen, et al.. (2019). Hub Patterns-Based Detection of Dynamic Functional Network Metastates in Resting State: A Test-Retest Analysis. Frontiers in Neuroscience. 13. 856–856. 4 indexed citations
17.
Song, Xizi, Yexian Qin, Yanbin Xu, et al.. (2017). Tissue Acoustoelectric Effect Modeling From Solid Mechanics Theory. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 64(10). 1583–1590. 7 indexed citations
18.
Song, Xizi, Yanbin Xu, Feng Dong, & Russell S. Witte. (2017). An Instrumental Electrode Configuration for 3-D Ultrasound Modulated Electrical Impedance Tomography. IEEE Sensors Journal. 17(24). 8206–8214. 3 indexed citations
19.
Song, Xizi, Yanbin Xu, & Feng Dong. (2015). A hybrid regularization method combining Tikhonov with total variation for electrical resistance tomography. Flow Measurement and Instrumentation. 46. 268–275. 55 indexed citations
20.
Song, Xizi, et al.. (2013). An adaptive total variation regularization method for electrical resistance tomography. 127–131. 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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