Zhenxi Song

467 total citations
20 papers, 318 citations indexed

About

Zhenxi Song is a scholar working on Cognitive Neuroscience, Neurology and Molecular Biology. According to data from OpenAlex, Zhenxi Song has authored 20 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cognitive Neuroscience, 4 papers in Neurology and 3 papers in Molecular Biology. Recurrent topics in Zhenxi Song's work include EEG and Brain-Computer Interfaces (16 papers), Neural dynamics and brain function (8 papers) and Functional Brain Connectivity Studies (8 papers). Zhenxi Song is often cited by papers focused on EEG and Brain-Computer Interfaces (16 papers), Neural dynamics and brain function (8 papers) and Functional Brain Connectivity Studies (8 papers). Zhenxi Song collaborates with scholars based in China, United States and France. Zhenxi Song's co-authors include Jiang Wang, Haitao Yu, Chen Liu, Bin Deng, Ruofan Wang, Lihui Cai, Yingyuan Chen, Guosheng Yi, Xile Wei and Yingmei Qin and has published in prestigious journals such as Journal of Neuroscience, IEEE Transactions on Biomedical Engineering and American Journal of Ophthalmology.

In The Last Decade

Zhenxi Song

20 papers receiving 311 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhenxi Song China 9 231 43 43 34 30 20 318
İrem Taşçı Türkiye 9 111 0.5× 29 0.7× 51 1.2× 61 1.8× 27 0.9× 37 305
Yuhu Shi China 12 234 1.0× 34 0.8× 26 0.6× 34 1.0× 43 1.4× 51 399
Chunfeng Yang China 8 164 0.7× 39 0.9× 30 0.7× 40 1.2× 67 2.2× 33 272
Ανδρέας Μιλτιάδους Greece 9 332 1.4× 73 1.7× 73 1.7× 42 1.2× 33 1.1× 18 426
Mehmet Feyzi Akşahin Türkiye 8 128 0.6× 34 0.8× 102 2.4× 46 1.4× 22 0.7× 27 291
Tae‐Eui Kam South Korea 11 326 1.4× 19 0.4× 61 1.4× 60 1.8× 43 1.4× 36 468
Nesma Houmani France 9 148 0.6× 27 0.6× 29 0.7× 29 0.9× 46 1.5× 21 283
Md. Nurul Ahad Tawhid Australia 8 207 0.9× 51 1.2× 29 0.7× 29 0.9× 30 1.0× 17 312
Chang’an A. Zhan China 13 207 0.9× 45 1.0× 13 0.3× 56 1.6× 34 1.1× 30 359

Countries citing papers authored by Zhenxi Song

Since Specialization
Citations

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

Fields of papers citing papers by Zhenxi Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenxi Song

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenxi Song. A scholar is included among the top collaborators of Zhenxi 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 Zhenxi Song. Zhenxi 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
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Alamia, Andrea, Linling Li, Zhen Liang, et al.. (2024). State-Dependent tACS Effects Reveal the Potential Causal Role of Prestimulus Alpha Traveling Waves in Visual Contrast Detection. Journal of Neuroscience. 44(27). e2023232024–e2023232024. 4 indexed citations
4.
Song, Zhenxi, Huixia Ren, Lin Zhu, et al.. (2024). BNMTrans: A Brain Network Sequence-Driven Manifold-Based Transformer for Cognitive Impairment Detection Using EEG. 2016–2020. 3 indexed citations
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Song, Zhenxi, et al.. (2022). An EEG-based systematic explainable detection framework for probing and localizing abnormal patterns in Alzheimer’s disease. Journal of Neural Engineering. 19(3). 36007–36007. 11 indexed citations
7.
Song, Zhenxi, et al.. (2022). Probing epileptic disorders with lightweight neural network and EEG's intrinsic geometry. Nonlinear Dynamics. 111(6). 5817–5832. 5 indexed citations
8.
Zhang, Zhen, Zhenxi Song, Zifan Xu, et al.. (2022). An Enhanced EEG Microstate Recognition Framework Based on Deep Neural Networks: An Application to Parkinson's Disease. IEEE Journal of Biomedical and Health Informatics. 27(3). 1307–1318. 17 indexed citations
9.
Sastry, Ananth, William Raynor, Christian Viehland, et al.. (2021). Microscope-Integrated OCT-Guided Volumetric Measurements of Subretinal Blebs Created by a Suprachoroidal Approach. Translational Vision Science & Technology. 10(7). 24–24. 11 indexed citations
10.
Song, Zhenxi, Jiang Wang, Guosheng Yi, & Bin Deng. (2021). Improving EEG-based Alzheimer’s Disease Identification with Generative Adversarial Learning. 3351–3356. 5 indexed citations
11.
Song, Zhenxi, Jiang Wang, Reza Rasti, et al.. (2020). Lightweight Learning-Based Automatic Segmentation of Subretinal Blebs on Microscope-Integrated Optical Coherence Tomography Images. American Journal of Ophthalmology. 221. 154–168. 8 indexed citations
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Yu, Haitao, et al.. (2019). Supervised Network-Based Fuzzy Learning of EEG Signals for Alzheimer's Disease Identification. IEEE Transactions on Fuzzy Systems. 28(1). 60–71. 118 indexed citations
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Song, Zhenxi, Bin Deng, Jiang Wang, & Ruofan Wang. (2018). Biomarkers for Alzheimer's Disease Defined by a Novel Brain Functional Network Measure. IEEE Transactions on Biomedical Engineering. 66(1). 41–49. 40 indexed citations
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Yu, Haitao, et al.. (2018). Functional brain connectivity in Alzheimer’s disease: An EEG study based on permutation disalignment index. Physica A Statistical Mechanics and its Applications. 506. 1093–1103. 22 indexed citations
17.
Song, Zhenxi, Bin Deng, Xile Wei, et al.. (2017). Scale-specific effects: A report on multiscale analysis of acupunctured EEG in entropy and power. Physica A Statistical Mechanics and its Applications. 492. 2260–2272. 7 indexed citations
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Yu, Haitao, Lihui Cai, Xinyu Wu, et al.. (2017). Investigation of phase synchronization of interictal EEG in right temporal lobe epilepsy. Physica A Statistical Mechanics and its Applications. 492. 931–940. 13 indexed citations
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Chen, Yingyuan, Lihui Cai, Ruofan Wang, et al.. (2017). DCCA cross-correlation coefficients reveals the change of both synchronization and oscillation in EEG of Alzheimer disease patients. Physica A Statistical Mechanics and its Applications. 490. 171–184. 35 indexed citations
20.
Song, Zhenxi, Jiang Wang, Lihui Cai, Bin Deng, & Yingmei Qin. (2016). Epileptic seizure detection of electroencephalogram based on weighted-permutation entropy. 2819–2823. 14 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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