Yuhu Shi

543 total citations
51 papers, 399 citations indexed

About

Yuhu Shi is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Signal Processing. According to data from OpenAlex, Yuhu Shi has authored 51 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Cognitive Neuroscience, 13 papers in Radiology, Nuclear Medicine and Imaging and 11 papers in Signal Processing. Recurrent topics in Yuhu Shi's work include Functional Brain Connectivity Studies (34 papers), EEG and Brain-Computer Interfaces (19 papers) and Neural dynamics and brain function (17 papers). Yuhu Shi is often cited by papers focused on Functional Brain Connectivity Studies (34 papers), EEG and Brain-Computer Interfaces (19 papers) and Neural dynamics and brain function (17 papers). Yuhu Shi collaborates with scholars based in China, United States and Hong Kong. Yuhu Shi's co-authors include Weiming Zeng, Nizhuan Wang, Jin Deng, Wei Kong, Hongjie Yan, Xiaoyang Mou, Yifei Zhang, Jian Guo, Chunqi Chang and Jian Zhang and has published in prestigious journals such as Cerebral Cortex, IEEE Access and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Yuhu Shi

48 papers receiving 390 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuhu Shi China 12 234 88 43 43 37 51 399
Xinyuan Chen China 12 247 1.1× 116 1.3× 21 0.5× 8 0.2× 19 0.5× 26 523
Dandan Fan China 12 117 0.5× 48 0.5× 27 0.6× 54 1.3× 33 0.9× 27 315
Wenxing Hu United States 14 221 0.9× 126 1.4× 160 3.7× 11 0.3× 30 0.8× 36 523
Cota Navin Gupta India 13 288 1.2× 121 1.4× 70 1.6× 114 2.7× 52 1.4× 44 663
Martin Pail Czechia 16 433 1.9× 63 0.7× 58 1.3× 36 0.8× 332 9.0× 38 671
Yeung Sam Hung Hong Kong 12 197 0.8× 26 0.3× 146 3.4× 12 0.3× 31 0.8× 34 509
Zhenyu Mao China 8 117 0.5× 31 0.4× 76 1.8× 14 0.3× 43 1.2× 35 328
Michael I. Miller United States 9 122 0.5× 101 1.1× 83 1.9× 7 0.2× 70 1.9× 12 441
Dianning He China 10 103 0.4× 146 1.7× 15 0.3× 8 0.2× 19 0.5× 32 341

Countries citing papers authored by Yuhu Shi

Since Specialization
Citations

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

Fields of papers citing papers by Yuhu Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuhu Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Yuhu Shi. A scholar is included among the top collaborators of Yuhu Shi 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 Yuhu Shi. Yuhu Shi 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.
Jiang, Ning & Yuhu Shi. (2025). A New Adaptive Sliding Window Method for fMRI Dynamic Functional Connectivity Analysis. International Journal of Imaging Systems and Technology. 35(4). 1 indexed citations
2.
Shi, Yuhu, et al.. (2024). The effective connectivity analysis of fMRI based on asymmetric detection of transfer brain entropy. Cerebral Cortex. 34(3). 4 indexed citations
3.
Shi, Yuhu, et al.. (2024). The Multi-Frequency Decomposition Entropy Learning for Nonlinear fMRI Data Analysis. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 33. 68–80.
4.
Shi, Yuhu, et al.. (2024). Transparent sparse graph pathway network for analyzing the internal relationship of lung cancer. Frontiers in Genetics. 15. 1437174–1437174. 1 indexed citations
5.
Shi, Yuhu, et al.. (2023). A Novel High-Dimensional Kernel Joint Non-Negative Matrix Factorization With Multimodal Information for Lung Cancer Study. IEEE Journal of Biomedical and Health Informatics. 28(2). 976–987. 4 indexed citations
6.
Lü, Jia, et al.. (2022). Diagnosis of Alzheimer’s Disease with Extreme Learning Machine on Whole-Brain Functional Connectivity. Concepts in Magnetic Resonance Part B. 2022. 1–14. 5 indexed citations
7.
8.
Zhang, Yifei, Xiaodan Chen, Zhijiang Wang, et al.. (2021). Altered Weibull Degree Distribution in Resting-State Functional Brain Networks Is Associated With Cognitive Decline in Mild Cognitive Impairment. Frontiers in Aging Neuroscience. 12. 599112–599112. 4 indexed citations
9.
Zeng, Weiming, et al.. (2021). Extraction and Analysis of Dynamic Functional Connectome Patterns in Migraine Sufferers: A Resting-State fMRI Study. Computational and Mathematical Methods in Medicine. 2021. 1–14. 9 indexed citations
10.
Liang, Yanling, Xiao Xiao, Yuhu Shi, et al.. (2021). Stoichioproteomics study of differentially expressed proteins and pathways in head and neck cancer. Brazilian Journal of Biology. 83. e249424–e249424. 1 indexed citations
11.
Zhang, Hua, et al.. (2021). Brain Relatively Inert Network: Taking Adult Attention Deficit Hyperactivity Disorder as an Example. Frontiers in Neuroscience. 15. 771947–771947. 1 indexed citations
12.
Shi, Yuhu. (2020). A Resting-State fMRI Study of Static and Dynamic Graph Analysis for Seafarer’ Brain. Journal of Physics Conference Series. 1631(1). 12132–12132. 1 indexed citations
13.
14.
15.
Shi, Yuhu, et al.. (2017). An improved multi-objective optimization-based CICA method with data-driver temporal reference for group fMRI data analysis. Medical & Biological Engineering & Computing. 56(4). 683–694. 7 indexed citations
16.
Shi, Yuhu, Weiming Zeng, & Nizhuan Wang. (2017). SCGICAR: Spatial concatenation based group ICA with reference for fMRI data analysis. Computer Methods and Programs in Biomedicine. 148. 137–151. 13 indexed citations
17.
Wang, Nizhuan, Chunqi Chang, Weiming Zeng, Yuhu Shi, & Hongjie Yan. (2017). A Novel Feature-Map Based ICA Model for Identifying the Individual, Intra/Inter-Group Brain Networks across Multiple fMRI Datasets. Frontiers in Neuroscience. 11. 510–510. 6 indexed citations
18.
Tang, Xiaoyan, et al.. (2017). Brain activation detection by modified neighborhood one-class SVM on fMRI data. Biomedical Signal Processing and Control. 39. 448–458. 8 indexed citations
19.
Tang, Xiaoyan, et al.. (2016). A novel layered data reduction mechanism for clustering fMRI data. Biomedical Signal Processing and Control. 33. 48–65. 5 indexed citations
20.
Shi, Yuhu, et al.. (2015). A novel fMRI group data analysis method based on data-driven reference extracting from group subjects. Computer Methods and Programs in Biomedicine. 122(3). 362–371. 29 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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