Shishun Fu

619 total citations
31 papers, 437 citations indexed

About

Shishun Fu is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Experimental and Cognitive Psychology. According to data from OpenAlex, Shishun Fu has authored 31 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cognitive Neuroscience, 12 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Experimental and Cognitive Psychology. Recurrent topics in Shishun Fu's work include Functional Brain Connectivity Studies (21 papers), Advanced Neuroimaging Techniques and Applications (9 papers) and Sleep and Wakefulness Research (9 papers). Shishun Fu is often cited by papers focused on Functional Brain Connectivity Studies (21 papers), Advanced Neuroimaging Techniques and Applications (9 papers) and Sleep and Wakefulness Research (9 papers). Shishun Fu collaborates with scholars based in China. Shishun Fu's co-authors include Guihua Jiang, Kelei Hua, Yi Yin, Yunfan Wu, Xiaofen Ma, Tianyue Wang, Chao Li, Jianhao Yan, Fang Jin and Junzhang Tian and has published in prestigious journals such as Journal of Affective Disorders, Frontiers in Neuroscience and Frontiers in Human Neuroscience.

In The Last Decade

Shishun Fu

31 papers receiving 436 citations

Peers

Shishun Fu
Lijie Wang China
Shui Tian China
Ashish Sahib United States
Youping Hu China
Luoyi Xu China
Junneng Shao China
Jurong Wang China
Hongwei Wen China
Lijie Wang China
Shishun Fu
Citations per year, relative to Shishun Fu Shishun Fu (= 1×) peers Lijie Wang

Countries citing papers authored by Shishun Fu

Since Specialization
Citations

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

Fields of papers citing papers by Shishun Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shishun Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Shishun Fu. A scholar is included among the top collaborators of Shishun Fu 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 Shishun Fu. Shishun Fu 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.
Fu, Shishun, Kelei Hua, Yi Yin, et al.. (2025). Early identification of autism spectrum disorder in preschoolers by static and dynamic amplitude of low-frequency fluctuations features. Frontiers in Human Neuroscience. 19. 1513200–1513200. 1 indexed citations
2.
Yang, Yujie, et al.. (2024). Functional connectivity changes of the hippocampal subregions in anti-N-methyl-D-aspartate receptor encephalitis. Brain Imaging and Behavior. 18(3). 686–697. 1 indexed citations
3.
Fu, Shishun, Chulan Lin, Yunfan Wu, et al.. (2023). Aberrant brain entropy in posttraumatic stress disorder comorbid with major depressive disorder during the coronavirus disease 2019 pandemic. Frontiers in Psychiatry. 14. 1143780–1143780. 3 indexed citations
4.
Li, Meng, Yunfan Wu, Binrang Yang, et al.. (2022). Abnormal Degree Centrality in Children with Low-Function Autism Spectrum Disorders: A Sleeping-State Functional Magnetic Resonance Imaging Study. Neuropsychiatric Disease and Treatment. Volume 18. 1363–1374. 2 indexed citations
5.
Ma, Xiaofen, et al.. (2022). Reduced left lateralized functional connectivity of the thalamic subregions between short-term and chronic insomnia disorder. Sleep and Biological Rhythms. 20(2). 229–237. 1 indexed citations
6.
Chen, Ziwei, Shumei Li, Kelei Hua, et al.. (2022). Altered functional connectivity strength in chronic insomnia associated with gut microbiota composition and sleep efficiency. Frontiers in Psychiatry. 13. 1050403–1050403. 10 indexed citations
7.
Feng, Ying, Shishun Fu, Cheng Li, et al.. (2022). Interaction of Gut Microbiota and Brain Function in Patients With Chronic Insomnia: A Regional Homogeneity Study. Frontiers in Neuroscience. 15. 804843–804843. 26 indexed citations
8.
Fu, Shishun, Meng Li, Xiaofen Ma, et al.. (2021). Regional Neural Activity Changes in Parkinson’s Disease-Associated Mild Cognitive Impairment and Cognitively Normal Patients. Neuropsychiatric Disease and Treatment. Volume 17. 2697–2706. 12 indexed citations
9.
Ma, Xiaofen, Shishun Fu, Yi Yin, et al.. (2020). Aberrant Functional Connectivity of Basal Forebrain Subregions with Cholinergic System in Short-term and Chronic Insomnia Disorder. Journal of Affective Disorders. 278. 481–487. 7 indexed citations
10.
Wu, Yunfan, Meng Li, Xiaofen Ma, et al.. (2020). Abnormal white matter within brain structural networks is associated with high-impulse behaviour in codeine-containing cough syrup dependent users. European Archives of Psychiatry and Clinical Neuroscience. 271(5). 823–833. 1 indexed citations
11.
Hua, Kelei, Peijun Wang, Meng Li, et al.. (2020). Increased Left Putamen Volume Correlates With Pain in Ankylosing Spondylitis Patients. Frontiers in Neurology. 11. 607646–607646. 4 indexed citations
12.
Zheng, Jianjun, Yingpeng Liu, Yi Yin, et al.. (2020). Increased Dynamic Amplitude of Low Frequency Fluctuation in Primary Insomnia. Frontiers in Neurology. 11. 609–609. 11 indexed citations
13.
Li, Chao, Yi Yin, Kelei Hua, et al.. (2019). Multivariate Pattern Classification of Primary Insomnia Using Three Types of Functional Connectivity Features. Frontiers in Neurology. 10. 1037–1037. 22 indexed citations
14.
Yan, Jianhao, Meng Li, Shishun Fu, et al.. (2019). Alterations of Dynamic Regional Homogeneity in Trigeminal Neuralgia: A Resting-State fMRI Study. Frontiers in Neurology. 10. 1083–1083. 22 indexed citations
15.
Hua, Kelei, Tianyue Wang, Cheng Li, et al.. (2018). Abnormal degree centrality in chronic users of codeine-containing cough syrups: A resting-state functional magnetic resonance imaging study. NeuroImage Clinical. 19. 775–781. 22 indexed citations
16.
Wu, Yunfan, Shaoqing Zeng, Xiaofen Ma, et al.. (2018). Abnormal Topology of the Structural Connectome in the Limbic Cortico-Basal-Ganglia Circuit and Default-Mode Network Among Primary Insomnia Patients. Frontiers in Neuroscience. 12. 860–860. 31 indexed citations
17.
Dong, Jianwei, et al.. (2018). Aberrant cortical thickness in neurologically asymptomatic patients with end-stage renal disease. Neuropsychiatric Disease and Treatment. Volume 14. 1929–1939. 15 indexed citations
18.
Yin, Yi, Meng Li, Xiaofen Ma, et al.. (2018). Reduced White Matter Integrity With Cognitive Impairments in End Stage Renal Disease. Frontiers in Psychiatry. 9. 143–143. 23 indexed citations
19.
Ma, Xiaofen, et al.. (2017). Change of fractional amplitude of low frequency fluctuation in untreated primary insomnia patients: a resting state functional magnetic resonance imaging. Chinese Journal of Neuromedicine. 16(7). 701–705. 1 indexed citations
20.
Li, Chao, et al.. (2017). Abnormal whole-brain functional connectivity in patients with primary insomnia. Neuropsychiatric Disease and Treatment. Volume 13. 427–435. 38 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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