D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Neuroscience D-index 69 Citations 27,629 148 World Ranking 935 National Ranking 10

Overview

What is he best known for?

The fields of study he is best known for:

  • Neuroscience
  • Statistics
  • Cognition

Xi-Nian Zuo mostly deals with Neuroscience, Resting state fMRI, Brain mapping, Functional magnetic resonance imaging and Human brain. The study incorporates disciplines such as Connectome, Neuroimaging, Voxel, Artificial intelligence and Precuneus in addition to Resting state fMRI. Xi-Nian Zuo works mostly in the field of Neuroimaging, limiting it down to topics relating to Bioinformatics and, in certain cases, Discovery science, Functional neuroimaging and Computational biology.

The Artificial intelligence study combines topics in areas such as Machine learning and Pattern recognition. Xi-Nian Zuo interconnects Amplitude of low frequency fluctuations, Nerve net and Functional connectivity in the investigation of issues within Brain mapping. His study in the fields of Posterior cingulate and Functional Connectivity MRI under the domain of Functional magnetic resonance imaging overlaps with other disciplines such as Systems neuroscience.

His most cited work include:

  • Toward discovery science of human brain function (2229 citations)
  • REST: A Toolkit for Resting-State Functional Magnetic Resonance Imaging Data Processing (1406 citations)
  • DPABI: Data Processing & Analysis for (Resting-State) Brain Imaging. (963 citations)

What are the main themes of his work throughout his whole career to date?

Neuroscience, Resting state fMRI, Default mode network, Functional magnetic resonance imaging and Brain mapping are his primary areas of study. The Human brain, Connectome, Prefrontal cortex and Cognition research he does as part of his general Neuroscience study is frequently linked to other disciplines of science, such as Systems neuroscience, therefore creating a link between diverse domains of science. Within one scientific family, Xi-Nian Zuo focuses on topics pertaining to Neuroimaging under Connectome, and may sometimes address concerns connected to Cognitive psychology.

In his study, which falls under the umbrella issue of Resting state fMRI, Machine learning, Smoothing and Bioinformatics is strongly linked to Artificial intelligence. His research in Functional magnetic resonance imaging intersects with topics in Artificial neural network, Dorsolateral prefrontal cortex, Personality, Brain activity and meditation and Pattern recognition. His Brain mapping research includes elements of Amplitude of low frequency fluctuations and Nerve net.

He most often published in these fields:

  • Neuroscience (63.02%)
  • Resting state fMRI (47.40%)
  • Default mode network (33.33%)

What were the highlights of his more recent work (between 2018-2021)?

  • Artificial intelligence (23.96%)
  • Default mode network (33.33%)
  • Functional connectivity (21.35%)

In recent papers he was focusing on the following fields of study:

Xi-Nian Zuo mainly investigates Artificial intelligence, Default mode network, Functional connectivity, Neuroscience and Pattern recognition. His Artificial intelligence research incorporates themes from Machine learning, Sample size determination and Big data. His research integrates issues of Major depressive disorder, Precuneus, Cortex and Salience in his study of Default mode network.

His studies in Major depressive disorder integrate themes in fields like Resting state fMRI, Internal medicine and Oncology. His work carried out in the field of Resting state fMRI brings together such families of science as Neuroimaging and Audiology. His study in Pattern recognition is interdisciplinary in nature, drawing from both Functional magnetic resonance imaging, Generalizability theory and Human Connectome Project.

Between 2018 and 2021, his most popular works were:

  • Spatial Topography of Individual-Specific Cortical Networks Predicts Human Cognition, Personality, and Emotion. (197 citations)
  • Harnessing reliability for neuroscience research. (102 citations)
  • Reduced default mode network functional connectivity in patients with recurrent major depressive disorder. (91 citations)

In his most recent research, the most cited papers focused on:

  • Statistics
  • Neuroscience
  • Cognition

His main research concerns Neuroimaging, Default mode network, Cognitive decline, Reliability and Neuroscience. His Neuroimaging research is multidisciplinary, incorporating elements of Growth chart, Brain network and School age child. His Reliability study integrates concerns from other disciplines, such as Big data, Neuroscience research, Connectomics and Reproducibility.

He performs integrative study on Neuroscience and Signal variability. His work deals with themes such as Resting state fMRI and Schizophrenia, which intersect with Temporal cortex. His study looks at the relationship between Resting state fMRI and topics such as Balance, which overlap with Audiology and Major depressive disorder.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Toward discovery science of human brain function

Bharat B. Biswal;Maarten Mennes;Xi Nian Zuo;Suril Gohel.
Proceedings of the National Academy of Sciences of the United States of America (2010)

2638 Citations

REST: A Toolkit for Resting-State Functional Magnetic Resonance Imaging Data Processing

Xiao-Wei Song;Zhang-Ye Dong;Xiang-Yu Long;Su-Fang Li.
PLOS ONE (2011)

1692 Citations

An improved approach to detection of amplitude of low-frequency fluctuation (ALFF) for resting-state fMRI: fractional ALFF.

Qi-Hong Zou;Chao-Zhe Zhu;Yihong Yang;Xi-Nian Zuo.
Journal of Neuroscience Methods (2008)

1181 Citations

DPABI: Data Processing & Analysis for (Resting-State) Brain Imaging.

Chao-Gan Yan;Xin-Di Wang;Xi-Nian Zuo;Yu-Feng Zang.
Neuroinformatics (2016)

1109 Citations

A Comprehensive Assessment of Regional Variation in the Impact of Head Micromovements on Functional Connectomics

Chao-Gan Yan;Brian Cheung;Clare Kelly;Stanley J. Colcombe.
NeuroImage (2013)

1061 Citations

The oscillating brain: complex and reliable.

Xi-Nian Zuo;Adriana Di Martino;Clare Kelly;Zarrar E. Shehzad.
NeuroImage (2010)

1018 Citations

Network Centrality in the Human Functional Connectome

Xi-Nian Zuo;Ross Ehmke;Maarten Mennes;Davide Imperati.
Cerebral Cortex (2012)

802 Citations

Reliable intrinsic connectivity networks: test-retest evaluation using ICA and dual regression approach.

Xi Nian Zuo;Clare Kelly;Jonathan S. Adelstein;Donald F. Klein;Donald F. Klein;Donald F. Klein.
NeuroImage (2010)

727 Citations

Local-Global Parcellation of the Human Cerebral Cortex from Intrinsic Functional Connectivity MRI

Alexander Schaefer;Ru Kong;Evan M Gordon;Timothy O Laumann.
Cerebral Cortex (2018)

567 Citations

Growing Together and Growing Apart: Regional and Sex Differences in the Lifespan Developmental Trajectories of Functional Homotopy

Xi-Nian Zuo;Xi-Nian Zuo;Clare Kelly;Adriana Di Martino;Adriana Di Martino;Maarten Mennes.
The Journal of Neuroscience (2010)

525 Citations

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Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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