Tongpeng Chu

429 total citations
28 papers, 231 citations indexed

About

Tongpeng Chu is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Physiology. According to data from OpenAlex, Tongpeng Chu has authored 28 papers receiving a total of 231 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cognitive Neuroscience, 18 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Physiology. Recurrent topics in Tongpeng Chu's work include Functional Brain Connectivity Studies (19 papers), Advanced Neuroimaging Techniques and Applications (9 papers) and Advanced MRI Techniques and Applications (8 papers). Tongpeng Chu is often cited by papers focused on Functional Brain Connectivity Studies (19 papers), Advanced Neuroimaging Techniques and Applications (9 papers) and Advanced MRI Techniques and Applications (8 papers). Tongpeng Chu collaborates with scholars based in China and United States. Tongpeng Chu's co-authors include Ning Mao, Kaili Che, Yuna Li, Shuicai Wu, Chunlan Yang, Heng Ma, Feng Zhao, Min Lü, Haizhu Xie and Ying‐Hong Shi and has published in prestigious journals such as Biological Psychiatry, Journal of Affective Disorders and Human Brain Mapping.

In The Last Decade

Tongpeng Chu

27 papers receiving 227 citations

Peers

Tongpeng Chu
Kaili Che China
Tongpeng Chu
Citations per year, relative to Tongpeng Chu Tongpeng Chu (= 1×) peers Kaili Che

Countries citing papers authored by Tongpeng Chu

Since Specialization
Citations

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

Fields of papers citing papers by Tongpeng Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tongpeng Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Tongpeng Chu. A scholar is included among the top collaborators of Tongpeng Chu 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 Tongpeng Chu. Tongpeng Chu 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.
Chu, Tongpeng, Xiaopeng Si, Xicheng Song, et al.. (2025). Understanding structural-functional connectivity coupling in patients with major depressive disorder: A white matter perspective. Journal of Affective Disorders. 373. 219–226. 1 indexed citations
2.
Chen, Danni, Yuting Guo, Kaili Che, et al.. (2025). Gene expression profiles associated with gray matter and dynamic connectivity disruptions in major depressive disorder. Journal of Affective Disorders. 389. 119697–119697.
3.
Guo, Yuting, Tongpeng Chu, Heng Ma, et al.. (2024). Diagnosis of Major Depressive Disorder Based on Individualized Brain Functional and Structural Connectivity. Journal of Magnetic Resonance Imaging. 61(4). 1712–1725. 5 indexed citations
5.
Chu, Tongpeng, Yuting Guo, Ying‐Hong Shi, et al.. (2024). Altered intersubject functional variability of brain white‐matter in major depressive disorder and its association with gene expression profiles. Human Brain Mapping. 45(5). e26670–e26670. 5 indexed citations
6.
Dai, Yi, Zhuo Zhang, Jing Gao, et al.. (2024). Development and Validation of a Deep Learning System to Differentiate HER2‐Zero, HER2‐Low, and HER2‐Positive Breast Cancer Based on Dynamic Contrast‐Enhanced MRI. Journal of Magnetic Resonance Imaging. 61(5). 2212–2220. 4 indexed citations
7.
Chu, Tongpeng, Xiaopeng Si, Haizhu Xie, et al.. (2024). Regional Structural-Functional Connectivity Coupling in Major Depressive Disorder Is Associated With Neurotransmitter and Genetic Profiles. Biological Psychiatry. 97(3). 290–301. 4 indexed citations
9.
Che, Kaili, Heng Ma, Feng Zhao, et al.. (2023). Diagnosis of Major Depressive Disorder Using Machine Learning Based on Multisequence MRI Neuroimaging Features. Journal of Magnetic Resonance Imaging. 58(5). 1420–1430. 13 indexed citations
10.
Zeng, Zhen, et al.. (2023). GluCEST Imaging and Structural Alterations of the Bilateral Hippocampus in First‐Episode and Early‐Onset Major Depression Disorder. Journal of Magnetic Resonance Imaging. 58(5). 1431–1440. 7 indexed citations
11.
Xu, Luyao, Tongpeng Chu, Min Li, et al.. (2023). Dynamic alterations of spontaneous neural activity in post-stroke aphasia: a resting-state functional magnetic resonance imaging study. Frontiers in Neuroscience. 17. 1177930–1177930. 4 indexed citations
13.
Li, Yuna, Tongpeng Chu, Yaou Liu, et al.. (2022). Classification of major depression disorder via using minimum spanning tree of individual high-order morphological brain network. Journal of Affective Disorders. 323. 10–20. 7 indexed citations
14.
Zhang, Zhongsheng, Tongpeng Chu, Kaili Che, et al.. (2022). Altered dynamic amplitude of low-frequency fluctuations in patients with postpartum depression. Behavioural Brain Research. 433. 113980–113980. 9 indexed citations
15.
Chu, Tongpeng, Kaili Che, Yuna Li, et al.. (2022). Classification of Major Depressive Disorder Based on Integrated Temporal and Spatial Functional MRI Variability Features of Dynamic Brain Network. Journal of Magnetic Resonance Imaging. 58(3). 827–837. 9 indexed citations
16.
Li, Yuna, Tongpeng Chu, Kaili Che, et al.. (2021). Abnormalities of cortical structures in patients with postpartum depression: A surface-based morphometry study. Behavioural Brain Research. 410. 113340–113340. 18 indexed citations
17.
Li, Yuna, Tongpeng Chu, Kaili Che, et al.. (2021). Altered gray matter structural covariance networks in postpartum depression: a graph theoretical analysis. Journal of Affective Disorders. 293. 159–167. 12 indexed citations
18.
Chu, Tongpeng, Jian Li, Zhongsheng Zhang, et al.. (2021). Altered structural covariance of hippocampal subregions in patients with Alzheimer’s disease. Behavioural Brain Research. 409. 113327–113327. 7 indexed citations
19.
Mao, Ning, Ping Yin, Haicheng Zhang, et al.. (2021). Mammography-based radiomics for predicting the risk of breast cancer recurrence: a multicenter study. British Journal of Radiology. 94(1127). 20210348–20210348. 15 indexed citations
20.
Yang, Chunlan, Shuicai Wu, Xin Zhang, et al.. (2018). Alterations of Graphic Properties and Related Cognitive Functioning Changes in Mild Alzheimer’s Disease Revealed by Individual Morphological Brain Network. Frontiers in Neuroscience. 12. 927–927. 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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