Shile Qi

2.2k total citations · 1 hit paper
58 papers, 1.2k citations indexed

About

Shile Qi is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Psychiatry and Mental health. According to data from OpenAlex, Shile Qi has authored 58 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Cognitive Neuroscience, 17 papers in Radiology, Nuclear Medicine and Imaging and 16 papers in Psychiatry and Mental health. Recurrent topics in Shile Qi's work include Functional Brain Connectivity Studies (41 papers), Advanced Neuroimaging Techniques and Applications (15 papers) and Mental Health Research Topics (11 papers). Shile Qi is often cited by papers focused on Functional Brain Connectivity Studies (41 papers), Advanced Neuroimaging Techniques and Applications (15 papers) and Mental Health Research Topics (11 papers). Shile Qi collaborates with scholars based in United States, China and South Korea. Shile Qi's co-authors include Vince D. Calhoun, Jing Sui, Rongtao Jiang, Zening Fu, Dongmei Zhi, Tianzi Jiang, Yuhui Du, Nianming Zuo, Dustin Scheinost and Jessica A. Turner and has published in prestigious journals such as Nature Communications, NeuroImage and Brain.

In The Last Decade

Shile Qi

55 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The brain structure, inflammatory, and genetic mechanisms mediate the association between physical frailty and depression

2024 36 citations Rongtao Jiang, Stephanie Noble et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shile Qi United States	19	795	282	249	242	103	58	1.2k
Jesús J. Gomar Spain	22	1.0k 1.3×	462 1.6×	202 0.8×	829 3.4×	311 3.0×	49	1.9k
Ricardo Magalhães Portugal	18	760 1.0×	319 1.1×	196 0.8×	152 0.6×	115 1.1×	55	1.3k
Chun Meng China	23	1.4k 1.7×	554 2.0×	491 2.0×	286 1.2×	133 1.3×	75	2.1k
Frauke Beyer Germany	19	438 0.6×	255 0.9×	79 0.3×	179 0.7×	253 2.5×	45	1.2k
Luiz Kobuti Ferreira Brazil	15	779 1.0×	364 1.3×	99 0.4×	409 1.7×	197 1.9×	25	1.3k
Diana Truran United States	18	507 0.6×	271 1.0×	111 0.4×	493 2.0×	326 3.2×	37	1.5k
Leonie Lampe Germany	19	510 0.6×	394 1.4×	75 0.3×	241 1.0×	217 2.1×	33	1.3k
Shahrzad Kharabian Masouleh Germany	18	730 0.9×	383 1.4×	158 0.6×	255 1.1×	238 2.3×	26	1.4k
Anouk den Braber Netherlands	22	520 0.7×	366 1.3×	157 0.6×	378 1.6×	394 3.8×	67	1.4k
Brian D. Boyd United States	18	454 0.6×	267 0.9×	183 0.7×	201 0.8×	69 0.7×	46	1.1k

Countries citing papers authored by Shile Qi

Since Specialization

Citations

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

Fields of papers citing papers by Shile Qi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shile Qi

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Li, Sheng‐Rong, et al.. (2025). Multi-Modal Brain Network Fusion for Intelligent Diagnostic Devices. IEEE Transactions on Consumer Electronics. 71(2). 3654–3666. 3 indexed citations

Li, Sheng‐Rong, Qi Zhu, Donghai Guan, et al.. (2025). Long-Interval Spatio-Temporal Graph Convolution for Brain Disease Diagnosis. IEEE Transactions on Instrumentation and Measurement. 74. 1–11. 2 indexed citations

Liang, Chuang, Rogers F. Silva, Tülay Adalı, et al.. (2025). Confound Controlled Multimodal Neuroimaging Data Fusion and Its Application to Developmental Disorders. IEEE Transactions on Image Processing. 34. 5271–5284.

Jiang, Rongtao, et al.. (2025). Adaptive-Similarity-Based Brain Dynamic Functional Connectivity with Spatial-Temporal Attention and Domain Adaptation for Schizophrenia Diagnosis. 1–5.

Jiang, Rongtao, Stephanie Noble, Matthew Rosenblatt, et al.. (2024). The brain structure, inflammatory, and genetic mechanisms mediate the association between physical frailty and depression. Nature Communications. 15(1). 4411–4411. 36 indexed citations breakdown →

Qiu, Ling, Chuang Liang, Peter Kochunov, et al.. (2024). Associations of alcohol and tobacco use with psychotic, depressive and developmental disorders revealed via multimodal neuroimaging. Translational Psychiatry. 14(1). 326–326. 1 indexed citations

Yang, Xiao, Min Wang, Jinxue Wei, et al.. (2024). Multiple cognition associated multimodal brain networks in major depressive disorder. Cerebral Cortex. 34(7). 2 indexed citations

Silva, Rogers F., Tülay Adalı, Xuyun Wen, et al.. (2024). Joint multi-site domain adaptation and multi-modality feature selection for the diagnosis of psychiatric disorders. NeuroImage Clinical. 43. 103663–103663. 1 indexed citations

Jiang, Rongtao, Jing Wu, Matthew Rosenblatt, et al.. (2023). Elevated C-reactive protein mediates the liver-brain axis: a preliminary study. EBioMedicine. 93. 104679–104679. 24 indexed citations

10.

Pearlson, Godfrey D., Juan Bustillo, Peter Kochunov, et al.. (2023). Identifying psychosis subtypes use individualized covariance structural differential networks and multi-site clustering. Schizophrenia Research. 264. 130–139. 3 indexed citations

11.

Qi, Shile, Jing Sui, Godfrey D. Pearlson, et al.. (2022). Derivation and utility of schizophrenia polygenic risk associated multimodal MRI frontotemporal network. Nature Communications. 13(1). 4929–4929. 30 indexed citations

12.

Xu, Ming, Shile Qi, Vince D. Calhoun, et al.. (2022). Aberrant brain functional and structural developments in MECP2 duplication rats. Neurobiology of Disease. 173. 105838–105838. 6 indexed citations

13.

Qi, Shile, Vince D. Calhoun, Daoqiang Zhang, et al.. (2022). Links between electroconvulsive therapy responsive and cognitive impairment multimodal brain networks in late-life major depressive disorder. BMC Medicine. 20(1). 477–477. 8 indexed citations

14.

Qi, Shile, Zening Fu, Lei Wu, et al.. (2022). Cognition, Aryl Hydrocarbon Receptor Repressor Methylation, and Abstinence Duration-Associated Multimodal Brain Networks in Smoking and Long-Term Smoking Cessation. Frontiers in Neuroscience. 16. 923065–923065. 1 indexed citations

15.

Li, Kaicheng, Zening Fu, Shile Qi, et al.. (2021). Polygenic Hazard Score Associated Multimodal Brain Networks Along the Alzheimer’s Disease Continuum. Frontiers in Aging Neuroscience. 13. 725246–725246. 2 indexed citations

16.

Sendi, Mohammad S.E., Jing Sui, Zening Fu, et al.. (2021). Dynamic Functional Connectivity Predicts Treatment Response to Electroconvulsive Therapy in Major Depressive Disorder. Frontiers in Human Neuroscience. 15. 689488–689488. 20 indexed citations

17.

Qi, Shile, Juan Bustillo, Jessica A. Turner, et al.. (2020). The relevance of transdiagnostic shared networks to the severity of symptoms and cognitive deficits in schizophrenia: a multimodal brain imaging fusion study. Translational Psychiatry. 10(1). 149–149. 19 indexed citations

18.

Sun, Hai‐Lun, Rongtao Jiang, Shile Qi, et al.. (2019). Preliminary prediction of individual response to electroconvulsive therapy using whole-brain functional magnetic resonance imaging data. NeuroImage Clinical. 26. 102080–102080. 30 indexed citations

19.

Zhi, Dongmei, Xiaohong Ma, Luxian Lv, et al.. (2018). Abnormal Dynamic Functional Network Connectivity and Graph Theoretical Analysis in Major Depressive Disorder. PubMed. 2018. 558–561. 10 indexed citations

20.

Zhi, Dongmei, Vince D. Calhoun, Luxian Lv, et al.. (2018). Aberrant Dynamic Functional Network Connectivity and Graph Properties in Major Depressive Disorder. Frontiers in Psychiatry. 9. 339–339. 114 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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