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 99 Citations 37,891 277 World Ranking 278 National Ranking 2

Overview

What is he best known for?

The fields of study he is best known for:

  • Neuroscience
  • Cognition
  • Internal medicine

Yong He spends much of his time researching Neuroscience, Brain mapping, Resting state fMRI, Functional magnetic resonance imaging and Human brain. His biological study spans a wide range of topics, including Tractography, White matter and Diffusion MRI. His research in Brain mapping intersects with topics in Nerve net, Cerebral cortex, Magnetic resonance imaging, Alzheimer's disease and Degree distribution.

His studies in Resting state fMRI integrate themes in fields like Artificial neural network, Artificial intelligence, Anterior cingulate cortex, Prefrontal cortex and Attention deficit hyperactivity disorder. Yong He combines subjects such as Amplitude of low frequency fluctuations, Centrality, Functional imaging and Pattern recognition with his study of Functional magnetic resonance imaging. His Human brain research is multidisciplinary, incorporating elements of Temporal cortex, Functional networks and Functional integration.

His most cited work include:

  • BrainNet Viewer: a network visualization tool for human brain connectomics. (1909 citations)
  • REST: A Toolkit for Resting-State Functional Magnetic Resonance Imaging Data Processing (1406 citations)
  • Regional homogeneity approach to fMRI data analysis (1310 citations)

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

His primary scientific interests are in Neuroscience, Resting state fMRI, Connectome, Functional magnetic resonance imaging and Cognition. His study in Human brain, Neuroimaging, Default mode network, Brain mapping and Connectomics falls under the purview of Neuroscience. His Brain mapping research includes themes of Cerebral cortex and Magnetic resonance imaging.

His work in Resting state fMRI covers topics such as Precuneus which are related to areas like Posterior cingulate. His Connectome research includes elements of Major depressive disorder, Diffusion MRI and Regression. He has included themes like Developmental psychology and Perspective in his Cognition study.

He most often published in these fields:

  • Neuroscience (91.71%)
  • Resting state fMRI (36.86%)
  • Connectome (38.29%)

What were the highlights of his more recent work (between 2017-2021)?

  • Neuroscience (91.71%)
  • Connectome (38.29%)
  • Cognition (31.43%)

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

His scientific interests lie mostly in Neuroscience, Connectome, Cognition, Resting state fMRI and Functional magnetic resonance imaging. Many of his studies on Neuroscience apply to Schizophrenia as well. His Connectome study combines topics in areas such as Major depressive disorder, Depression, Brain network and Regression.

His Cognition research is multidisciplinary, incorporating perspectives in Network model and Functional connectivity. The various areas that Yong He examines in his Resting state fMRI study include Cerebellum, Cerebro, Cortex, Language network and Cerebral blood flow. His Functional magnetic resonance imaging research incorporates themes from Psychiatry, Centrality, Dorsolateral prefrontal cortex and Functional brain.

Between 2017 and 2021, his most popular works were:

  • Chronnectome fingerprinting: Identifying individuals and predicting higher cognitive functions using dynamic brain connectivity patterns (92 citations)
  • Chronnectome fingerprinting: Identifying individuals and predicting higher cognitive functions using dynamic brain connectivity patterns (92 citations)
  • Common Dysfunction of Large-Scale Neurocognitive Networks Across Psychiatric Disorders (78 citations)

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

  • Neuroscience
  • Cognition
  • Internal medicine

Yong He mostly deals with Neuroscience, Connectome, Default mode network, Cognition and Functional magnetic resonance imaging. His work deals with themes such as Network model and Disease, which intersect with Neuroscience. His Connectome research incorporates elements of Major depressive disorder, Neuroimaging and Regression.

His Default mode network research is multidisciplinary, relying on both Rat brain, Functional brain, Effects of sleep deprivation on cognitive performance, Resting state fMRI and Human Connectome Project. His study on Cognition is mostly dedicated to connecting different topics, such as Human brain. His study in Functional magnetic resonance imaging is interdisciplinary in nature, drawing from both Psychiatry and Connectomics.

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

BrainNet Viewer: a network visualization tool for human brain connectomics.

Mingrui Xia;Jinhui Wang;Yong He.
PLOS ONE (2013)

2188 Citations

Regional homogeneity approach to fMRI data analysis

Yufeng Zang;Tianzi Jiang;Yingli Lu;Yong He.
NeuroImage (2004)

1781 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

Small-World Anatomical Networks in the Human Brain Revealed by Cortical Thickness from MRI

Yong He;Zhang J. Chen;Alan C. Evans.
Cerebral Cortex (2007)

1249 Citations

Disrupted small-world networks in schizophrenia.

Yong Liu;Meng Liang;Yuan Zhou;Yong He.
Brain (2008)

1062 Citations

Mapping Anatomical Connectivity Patterns of Human Cerebral Cortex Using In Vivo Diffusion Tensor Imaging Tractography

Gaolang Gong;Yong He;Luis Concha;Catherine Lebel.
Cerebral Cortex (2009)

1004 Citations

Structural insights into aberrant topological patterns of large-scale cortical networks in Alzheimer's disease.

Yong He;Zhang Chen;Alan Evans.
The Journal of Neuroscience (2008)

863 Citations

Changes in hippocampal connectivity in the early stages of Alzheimer's disease: evidence from resting state fMRI.

Liang Wang;Yufeng Zang;Yong He;Meng Liang.
NeuroImage (2006)

810 Citations

Disrupted brain connectivity networks in drug-naive, first-episode major depressive disorder.

Junran Zhang;Jinhui Wang;Qizhu Wu;Weihong Kuang.
Biological Psychiatry (2011)

664 Citations

Graph theoretical modeling of brain connectivity.

Yong He;Alan Evans.
Current Opinion in Neurology (2010)

588 Citations

Best Scientists Citing Yong He

Vince D. Calhoun

Vince D. Calhoun

Georgia State University

Publications: 239

Qiyong Gong

Qiyong Gong

Sichuan University

Publications: 216

Dinggang Shen

Dinggang Shen

ShanghaiTech University

Publications: 170

Tianzi Jiang

Tianzi Jiang

Chinese Academy of Sciences

Publications: 146

Michael P. Milham

Michael P. Milham

University of California, Davis

Publications: 140

Jiang Qiu

Jiang Qiu

Southwest University

Publications: 132

Danielle S. Bassett

Danielle S. Bassett

University of Pennsylvania

Publications: 125

Edward T. Bullmore

Edward T. Bullmore

University of Cambridge

Publications: 113

Cornelis J. Stam

Cornelis J. Stam

Vrije Universiteit Amsterdam

Publications: 109

Bharat B. Biswal

Bharat B. Biswal

New Jersey Institute of Technology

Publications: 104

Xi-Nian Zuo

Xi-Nian Zuo

Chinese Academy of Sciences

Publications: 97

Feng Liu

Feng Liu

Tianjin Medical University General Hospital

Publications: 95

Chunshui Yu

Chunshui Yu

Tianjin Medical University General Hospital

Publications: 94

Jie Tian

Jie Tian

Chinese Academy of Sciences

Publications: 94

Paul M. Thompson

Paul M. Thompson

University of Southern California

Publications: 92

Yu-Feng Zang

Yu-Feng Zang

Hangzhou Normal University

Publications: 91

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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