Qingbao Yu

5.4k total citations · 1 hit paper
50 papers, 3.8k citations indexed

About

Qingbao Yu is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Experimental and Cognitive Psychology. According to data from OpenAlex, Qingbao Yu has authored 50 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Cognitive Neuroscience, 21 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Experimental and Cognitive Psychology. Recurrent topics in Qingbao Yu's work include Functional Brain Connectivity Studies (38 papers), Neural dynamics and brain function (23 papers) and Advanced Neuroimaging Techniques and Applications (20 papers). Qingbao Yu is often cited by papers focused on Functional Brain Connectivity Studies (38 papers), Neural dynamics and brain function (23 papers) and Advanced Neuroimaging Techniques and Applications (20 papers). Qingbao Yu collaborates with scholars based in United States, China and Norway. Qingbao Yu's co-authors include Vince D. Calhoun, Jing Sui, Godfrey D. Pearlson, Yuhui Du, Hao He, Jiayu Chen, Yi‐Yuan Tang, Danni Sui, Qilin Lu and Yaxin Fan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and NeuroImage.

In The Last Decade

Qingbao Yu

49 papers receiving 3.7k 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.

Short-term meditation training improves attention and self-regulation

2007 1.1k citations Yi‐Yuan Tang, Qilin Lu et al. profile →

Peers

Qingbao Yu

RNMI

ECP

PMH

Zhishun Wang United States

Rosalyn Moran United Kingdom

Ilya M. Veer Germany

Janaı́na Mourão-Miranda United Kingdom

David Rudrauf United States

Michelle Hampson United States

Gopikrishna Deshpande United States

Prantik Kundu United States

Monica D. Rosenberg United States

Zhishun Wang United States

Qingbao Yu

2.3k ×0.9

417 ×0.4

RNMI

870 ×0.8

ECP

1.2k ×1.4

747 ×1.5

PMH

Citations per year, relative to Qingbao Yu Qingbao Yu (= 1×) peers Zhishun Wang

Countries citing papers authored by Qingbao Yu

Since Specialization

Citations

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

Fields of papers citing papers by Qingbao Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingbao Yu

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

All Works

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20 of 20 papers shown

Yu, Qingbao, Jiayu Chen, Yuhui Du, et al.. (2019). A method for building a genome-connectome bipartite graph model. Journal of Neuroscience Methods. 320. 64–71. 3 indexed citations

Yu, Qingbao, Yuhui Du, Jiayu Chen, et al.. (2018). Application of Graph Theory to Assess Static and Dynamic Brain Connectivity: Approaches for Building Brain Graphs. Proceedings of the IEEE. 106(5). 886–906. 58 indexed citations

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

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

Vergara, Victor M., Qingbao Yu, & Vince D. Calhoun. (2018). A method to assess randomness of functional connectivity matrices. Journal of Neuroscience Methods. 303. 146–158. 8 indexed citations

Jiang, Rongtao, Chris Abbott, Tianzi Jiang, et al.. (2017). SMRI Biomarkers Predict Electroconvulsive Treatment Outcomes: Accuracy with Independent Data Sets. Neuropsychopharmacology. 43(5). 1078–1087. 52 indexed citations

Du, Yuhui, Dongdong Lin, Qingbao Yu, et al.. (2017). Comparison of IVA and GIG-ICA in Brain Functional Network Estimation Using fMRI Data. Frontiers in Neuroscience. 11. 267–267. 20 indexed citations

Du, Yuhui, Susanna L. Fryer, Dongdong Lin, et al.. (2017). Identifying functional network changing patterns in individuals at clinical high-risk for psychosis and patients with early illness schizophrenia: A group ICA study. NeuroImage Clinical. 17. 335–346. 36 indexed citations

Jiang, Rongtao, Dongdong Lin, Juan Bustillo, et al.. (2016). Predicting individualized clinical measures by a generalized prediction framework and multimodal fusion of MRI data. NeuroImage. 145(Pt B). 218–229. 81 indexed citations

10.

Du, Yuhui, Godfrey D. Pearlson, Jingyu Liu, et al.. (2015). A group ICA based framework for evaluating resting fMRI markers when disease categories are unclear: application to schizophrenia, bipolar, and schizoaffective disorders. NeuroImage. 122. 272–280. 112 indexed citations

11.

Sui, Jing, Godfrey D. Pearlson, Yuhui Du, et al.. (2015). In Search of Multimodal Neuroimaging Biomarkers of Cognitive Deficits in Schizophrenia. Biological Psychiatry. 78(11). 794–804. 139 indexed citations

12.

Yu, Qingbao, Erik B. Erhardt, Jing Sui, et al.. (2014). Assessing dynamic brain graphs of time-varying connectivity in fMRI data: Application to healthy controls and patients with schizophrenia. NeuroImage. 107. 345–355. 184 indexed citations

13.

Sui, Jing, Hao He, Godfrey D. Pearlson, et al.. (2012). Three-way (N-way) fusion of brain imaging data based on mCCA+jICA and its application to discriminating schizophrenia. NeuroImage. 66. 119–132. 121 indexed citations

14.

Sui, Jing, Hao He, Jingyu Liu, et al.. (2012). Three-way FMRI-DTI-methylation data fusion based on mCCA+jICA and its application to schizophrenia. PubMed. 2012. 2692–2695. 17 indexed citations

15.

Yu, Qingbao, Sergey Plis, Erik B. Erhardt, et al.. (2012). Modular Organization of Functional Network Connectivity in Healthy Controls and Patients with Schizophrenia during the Resting State. Frontiers in Systems Neuroscience. 5. 103–103. 74 indexed citations

16.

Sui, Jing, Tülay Adalı, Qingbao Yu, Jiayu Chen, & Vince D. Calhoun. (2011). A review of multivariate methods for multimodal fusion of brain imaging data. Journal of Neuroscience Methods. 204(1). 68–81. 272 indexed citations

17.

Lu, Qilin, Yi-Yuan Tang, Li Zhou, & Qingbao Yu. (2011). The different time courses of reading different levels of Chinese characters: An ERP study. Neuroscience Letters. 498(3). 194–198. 10 indexed citations

18.

Eichele, Tom, et al.. (2010). Lateral differences in the default mode network in healthy controls and patients with schizophrenia. Human Brain Mapping. 32(4). 654–664. 51 indexed citations

19.

Li, Jian, Yi‐Yuan Tang, Li Zhou, et al.. (2010). EEG dynamics reflects the partial and holistic effects in mental imagery generation. Journal of Zhejiang University SCIENCE B. 11(12). 944–951. 15 indexed citations

20.

Yu, Qingbao, Yi‐Yuan Tang, Jian Li, et al.. (2008). Sex differences of event-related potential effects during three-dimensional mental rotation. Neuroreport. 20(1). 43–47. 18 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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