Pindong Chen

476 total citations
14 papers, 91 citations indexed

About

Pindong Chen is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Psychiatry and Mental health. According to data from OpenAlex, Pindong Chen has authored 14 papers receiving a total of 91 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 8 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Psychiatry and Mental health. Recurrent topics in Pindong Chen's work include Functional Brain Connectivity Studies (9 papers), Dementia and Cognitive Impairment Research (6 papers) and Advanced Neuroimaging Techniques and Applications (5 papers). Pindong Chen is often cited by papers focused on Functional Brain Connectivity Studies (9 papers), Dementia and Cognitive Impairment Research (6 papers) and Advanced Neuroimaging Techniques and Applications (5 papers). Pindong Chen collaborates with scholars based in China, United Kingdom and Germany. Pindong Chen's co-authors include Yong Liu, Kun Zhao, Xiaopeng Kang, Timothy Rittman, Tongtong Che, Ang Li, Shuyu Li, Yuqing Sun, Qiang Zheng and Qiongling Li and has published in prestigious journals such as Biological Psychiatry, Brain Research and Science Advances.

In The Last Decade

Pindong Chen

9 papers receiving 91 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pindong Chen China 5 54 37 27 16 13 14 91
Yuqing Sun China 5 35 0.6× 31 0.8× 27 1.0× 12 0.8× 23 1.8× 6 78
Gyujoon Hwang United States 7 66 1.2× 34 0.9× 59 2.2× 23 1.4× 17 1.3× 13 139
Jill Fries United States 5 59 1.1× 28 0.8× 29 1.1× 12 0.8× 14 1.1× 7 131
Johanna Seitz‐Holland United States 7 21 0.4× 26 0.7× 26 1.0× 9 0.6× 10 0.8× 20 115
Sarah Farzin Canada 5 51 0.9× 34 0.9× 22 0.8× 18 1.1× 10 0.8× 6 101
Paule‐Joanne Toussaint Canada 4 127 2.4× 68 1.8× 57 2.1× 39 2.4× 13 1.0× 8 184
Karen Meersmans Belgium 8 92 1.7× 15 0.4× 40 1.5× 41 2.6× 19 1.5× 11 144
Raymond Pomponio United States 4 34 0.6× 18 0.5× 27 1.0× 21 1.3× 14 1.1× 10 86
Dhivya Srinivasan United States 7 65 1.2× 42 1.1× 32 1.2× 12 0.8× 3 0.2× 11 130
Gilsoon Park South Korea 7 30 0.6× 30 0.8× 45 1.7× 37 2.3× 7 0.5× 16 147

Countries citing papers authored by Pindong Chen

Since Specialization
Citations

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

Fields of papers citing papers by Pindong Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pindong Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Pindong Chen. A scholar is included among the top collaborators of Pindong Chen 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 Pindong Chen. Pindong Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Li, Zhuangzhuang, Kun Zhao, Pindong Chen, et al.. (2025). Disentangled Representation Learning for Capturing Individualized Brain Atrophy via Pseudo-Healthy Synthesis. IEEE Journal of Biomedical and Health Informatics. 29(7). 5056–5068.
2.
Kang, Xiaopeng, Jiaji Lin, Kun Zhao, et al.. (2025). Structural MRI–based Computer-aided Diagnosis Models for Alzheimer Disease: Insights into Misclassifications and Diagnostic Limitations. Radiology Artificial Intelligence. 7(6). e240508–e240508.
3.
4.
Wang, Dawei, Zhuangzhuang Li, Kun Zhao, et al.. (2024). Macroscale Gradient Dysfunction in Alzheimer's Disease: Patterns With Cognition Terms and Gene Expression Profiles. Human Brain Mapping. 45(15). e70046–e70046. 3 indexed citations
5.
6.
7.
Zhao, Kun, Dawei Wang, Dong Wang, et al.. (2024). Macroscale connectome topographical structure reveals the biomechanisms of brain dysfunction in Alzheimer’s disease. Science Advances. 10(41). eado8837–eado8837. 9 indexed citations
8.
Zhao, Kun, Pindong Chen, Dong Wang, et al.. (2024). A Multiform Heterogeneity Framework for Alzheimer’s Disease Based on Multimodal Neuroimaging. Biological Psychiatry. 97(11). 1022–1033.
9.
Wang, Pan, Kun Zhao, Pindong Chen, et al.. (2024). Structure–function coupling reveals the brain hierarchical structure dysfunction in Alzheimer's disease: A multicenter study. Alzheimer s & Dementia. 20(9). 6305–6315. 6 indexed citations
10.
Chen, Pindong, et al.. (2023). Robustly uncovering the heterogeneity of neurodegenerative disease by using data-driven subtyping in neuroimaging: A review. Brain Research. 1823. 148675–148675. 6 indexed citations
11.
Chen, Pindong, Kun Zhao, Xiaopeng Kang, et al.. (2022). Impaired time-distance reconfiguration patterns in Alzheimer's disease: a dynamic functional connectivity study with 809 individuals from 7 sites. BMC Bioinformatics. 23(S6). 280–280. 2 indexed citations
12.
Zhao, Kun, Qiang Zheng, Martin Dyrba, et al.. (2022). Regional Radiomics Similarity Networks Reveal Distinct Subtypes and Abnormality Patterns in Mild Cognitive Impairment (Adv. Sci. 12/2022). Advanced Science. 9(12). 4 indexed citations
13.
Zhao, Kun, Qiang Zheng, Martin Dyrba, et al.. (2022). Regional Radiomics Similarity Networks Reveal Distinct Subtypes and Abnormality Patterns in Mild Cognitive Impairment. Advanced Science. 9(12). e2104538–e2104538. 41 indexed citations
14.
Shi, Yachen, Zan Wang, Pindong Chen, et al.. (2020). Episodic Memory–Related Imaging Features as Valuable Biomarkers for the Diagnosis of Alzheimer’s Disease: A Multicenter Study Based on Machine Learning. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 8(2). 171–180. 16 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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