Zhilu Chen

1.6k total citations
69 papers, 1.1k citations indexed

About

Zhilu Chen is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Zhilu Chen has authored 69 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cognitive Neuroscience, 14 papers in Experimental and Cognitive Psychology and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Zhilu Chen's work include Functional Brain Connectivity Studies (25 papers), Mental Health Research Topics (14 papers) and Neural dynamics and brain function (8 papers). Zhilu Chen is often cited by papers focused on Functional Brain Connectivity Studies (25 papers), Mental Health Research Topics (14 papers) and Neural dynamics and brain function (8 papers). Zhilu Chen collaborates with scholars based in China, United States and Chile. Zhilu Chen's co-authors include Xinming Huang, Qing Lü, Zhijian Yao, Junneng Shao, Haibo He, Shui Tian, Quan Shi, Wenbin Qian, Qunyi Guo and Chunmei Yang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Zhilu Chen

59 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhilu Chen China 19 287 199 180 133 129 69 1.1k
Yizhen Zhang United States 15 183 0.6× 349 1.8× 72 0.4× 92 0.7× 139 1.1× 41 1.9k
Min Fu China 21 228 0.8× 91 0.5× 14 0.1× 45 0.3× 248 1.9× 116 1.8k
Ziming Liu China 15 308 1.1× 108 0.5× 59 0.3× 11 0.1× 122 0.9× 42 828
Yasemin M. Akay United States 19 62 0.2× 153 0.8× 30 0.2× 148 1.1× 60 0.5× 89 1.4k
Saad Rehman Pakistan 15 302 1.1× 265 1.3× 20 0.1× 31 0.2× 253 2.0× 75 1.4k
Bin Guo China 18 67 0.2× 39 0.2× 41 0.2× 36 0.3× 81 0.6× 77 1.0k
Timo Torsten Schmidt Germany 20 278 1.0× 481 2.4× 16 0.1× 20 0.2× 155 1.2× 55 1.5k
Gareth Loy Australia 14 794 2.8× 109 0.5× 78 0.4× 10 0.1× 125 1.0× 25 1.2k
Wieland Brendel Germany 14 494 1.7× 503 2.5× 21 0.1× 20 0.2× 839 6.5× 44 1.9k

Countries citing papers authored by Zhilu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Zhilu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhilu Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Zhilu Chen. A scholar is included among the top collaborators of Zhilu 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 Zhilu Chen. Zhilu Chen 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.
Wang, Ting, Xue Li, Zhongpeng Dai, et al.. (2025). Genetically Informed Disassortative Brain Morphometric Similarities Revealing Suicide Risk in Bipolar Disorder. Biological Psychiatry Cognitive Neuroscience and Neuroimaging.
2.
3.
Wang, Xinyi, Junneng Shao, Xue Li, et al.. (2025). Three Latent Factors in Major Depressive Disorder Base on Functional Connectivity Show Different Treatment Preferences. Human Brain Mapping. 46(8). e70215–e70215.
4.
Tang, Hao, Qing Lü, Haowen Zou, et al.. (2025). Major depressive disorder is characterized by differential theta and alpha patterns during working memory updating. BMC Psychiatry. 25(1). 923–923.
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6.
7.
Dai, Zhongpeng, Wei Zhang, Hongliang Zhou, et al.. (2024). Gamma oscillations of visual cortex underlying emotion and cognition deficits associated with suicide attempt in major depressive disorder. Nature Mental Health. 2(8). 924–934. 3 indexed citations
8.
Lei, Wen, Ai Zhao, Hui Liu, et al.. (2024). Safety and feasibility of anti-CD19 CAR T cells expressing inducible IL-7 and CCL19 in patients with relapsed or refractory large B-cell lymphoma. Cell Discovery. 10(1). 5–5. 16 indexed citations
9.
Jiang, Huifang, et al.. (2024). Analysis of flow cytometry data from ultrasound‐guided lymph node biopsies with two types of needles. International Journal of Laboratory Hematology. 46(5). 869–877.
10.
Han, Haoying, et al.. (2023). Spatial Distribution Characteristics and Driving Factors of Tourism Resources in China. Land. 12(5). 1029–1029. 7 indexed citations
11.
Zhao, Shuai, Yu Zhang, Xiaoqin Wang, et al.. (2023). Gray matter reduction is associated with cognitive dysfunction in depressed patients comorbid with subclinical hypothyroidism. Frontiers in Aging Neuroscience. 15. 1106792–1106792. 7 indexed citations
12.
Dai, Zhongpeng, Hongliang Zhou, Wei Zhang, et al.. (2022). Alpha-beta decoupling relevant to inhibition deficits leads to suicide attempt in major depressive disorder. Journal of Affective Disorders. 314. 168–175. 10 indexed citations
13.
Dai, Zhongpeng, Siqi Zhang, Huan Wang, et al.. (2022). Hampered gamma oscillations induced by sad emotion underlying suicide attempt in major depressive disorder. Psychiatry and Clinical Neurosciences. 77(1). 20–29. 6 indexed citations
14.
Tian, Shui, Rongxin Zhu, Mohammad Ridwan Chattun, et al.. (2021). Temporal dynamics alterations of spontaneous neuronal activity in anterior cingulate cortex predict suicidal risk in bipolar II patients. Brain Imaging and Behavior. 15(5). 2481–2491. 21 indexed citations
15.
Chen, Zhilu, Shuai Zhao, Shui Tian, et al.. (2021). Diurnal mood variation symptoms in major depressive disorder associated with evening chronotype: Evidence from a neuroimaging study. Journal of Affective Disorders. 298(Pt A). 151–159. 12 indexed citations
16.
Dai, Zhongpeng, Siqi Zhang, Xinyi Wang, et al.. (2021). Sub‐second transient activated patterns to sad expressions in major depressive disorders discovered via hidden Markov model. Journal of Neuroscience Research. 99(12). 3250–3260. 6 indexed citations
17.
Dai, Zhongpeng, Siqi Zhang, Shui Tian, et al.. (2021). Attenuated alpha–gamma coupling in emotional dual pathways with right‐Amygdala predicting ineffective antidepressant response. CNS Neuroscience & Therapeutics. 28(3). 401–410. 10 indexed citations
18.
Lei, Wen, Chaoting Zhang, Chunmei Yang, et al.. (2020). CD19-specific CAR T Cells that Express a PD-1/CD28 Chimeric Switch-Receptor are Effective in Patients with PD-L1–positive B-Cell Lymphoma. Clinical Cancer Research. 27(2). 473–484. 104 indexed citations
19.
Jiang, Haiteng, Rongxin Zhu, Shui Tian, et al.. (2020). Structural–functional decoupling predicts suicide attempts in bipolar disorder patients with a current major depressive episode. Neuropsychopharmacology. 45(10). 1735–1742. 35 indexed citations
20.
Kingsley, James L., Jeffrey P. Bibeau, Zhilu Chen, et al.. (2018). Understanding Boundary Effects and Confocal Optics Enables Quantitative FRAP Analysis in the Confined Geometries of Animal, Plant and Fungal Cells. Biophysical Journal. 114(3). 349a–350a. 1 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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