D-Index & Metrics Best Publications

D-Index & Metrics 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.

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 37 Citations 16,302 129 World Ranking 5347 National Ranking 2336

Overview

What is he best known for?

The fields of study he is best known for:

  • Neuroscience
  • Artificial intelligence
  • Functional magnetic resonance imaging

His scientific interests lie mostly in Neuroscience, Brain mapping, Functional magnetic resonance imaging, Neuroimaging and Cortex. He combines topics linked to Magnetic resonance imaging with his work on Neuroscience. His studies in Brain mapping integrate themes in fields like Lateralization of brain function, Cognition and Human brain.

His Functional magnetic resonance imaging research incorporates themes from Personality and Artificial intelligence. His studies deal with areas such as Cerebral cortex and Sensory system as well as Cortex. In his research on the topic of Connectome, Neurophysiology is strongly related with Visual cortex.

His most cited work include:

  • The organization of the human cerebral cortex estimated by intrinsic functional connectivity (4615 citations)
  • Cortical Hubs Revealed by Intrinsic Functional Connectivity: Mapping, Assessment of Stability, and Relation to Alzheimer's Disease (2028 citations)
  • Individual Variability in Functional Connectivity Architecture of the Human Brain (613 citations)

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

His main research concerns Neuroscience, Artificial intelligence, Functional connectivity, Human brain and Functional magnetic resonance imaging. His work on Magnetic resonance imaging expands to the thematically related Neuroscience. His study in Artificial intelligence is interdisciplinary in nature, drawing from both Electroencephalography, Machine learning, Computer vision and Pattern recognition.

His Pattern recognition research is multidisciplinary, incorporating elements of Embedding and Connectome. His Functional connectivity research incorporates elements of Cerebellum, Functional brain and Auditory cortex. Hesheng Liu has researched Brain mapping in several fields, including Functional imaging, Neuroimaging, Cortex and Magnetoencephalography.

He most often published in these fields:

  • Neuroscience (76.00%)
  • Artificial intelligence (26.67%)
  • Functional connectivity (29.33%)

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

  • Neuroscience (76.00%)
  • Functional connectivity (29.33%)
  • Cognition (21.33%)

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

His primary areas of investigation include Neuroscience, Functional connectivity, Cognition, Human brain and Functional magnetic resonance imaging. The various areas that Hesheng Liu examines in his Neuroscience study include Schizophrenia and Magnetic resonance imaging. His Functional connectivity study combines topics in areas such as Biomarker, Functional brain and Auditory cortex.

Many of his research projects under Cognition are closely connected to Personalized medicine with Personalized medicine, tying the diverse disciplines of science together. His Human brain study integrates concerns from other disciplines, such as Temporoparietal junction, Diffusion MRI, Diffusion Tractography and Brain tissue. His Functional magnetic resonance imaging research also works with subjects such as

  • Brain mapping, Functional image and Brain morphometry most often made with reference to Neuroimaging,
  • Pattern recognition which is related to area like Task-positive network and Spatial normalization.

Between 2017 and 2021, his most popular works were:

  • Spatial Topography of Individual-Specific Cortical Networks Predicts Human Cognition, Personality, and Emotion. (197 citations)
  • Network localization of cervical dystonia based on causal brain lesions. (46 citations)
  • Individual-specific functional connectivity markers track dimensional and categorical features of psychotic illness. (33 citations)

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

  • Neuroscience
  • Artificial intelligence
  • Functional magnetic resonance imaging

His primary areas of study are Neuroscience, Functional magnetic resonance imaging, Functional connectivity, Magnetic resonance imaging and Resting state fMRI. Much of his study explores Neuroscience relationship to Biomarker. His biological study deals with issues like Neuroimaging, which deal with fields such as Functional image, Brain mapping and Brain morphometry.

Hesheng Liu interconnects Brain atlas, Functional brain, Neuroimaging biomarkers, Obsessive compulsive and Treatment response in the investigation of issues within Functional connectivity. The concepts of his Magnetic resonance imaging study are interwoven with issues in Prefrontal cortex, Task-positive network, Human brain and Human Connectome Project. His Resting state fMRI study combines topics from a wide range of disciplines, such as Abnormality, Neuropsychology and Pathogenesis, Pathology.

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

The organization of the human cerebral cortex estimated by intrinsic functional connectivity

B. T. Thomas Yeo;Fenna M. Krienen;Jorge Sepulcre;Jorge Sepulcre;Mert R. Sabuncu;Mert R. Sabuncu.
Journal of Neurophysiology (2011)

5870 Citations

Cortical Hubs Revealed by Intrinsic Functional Connectivity: Mapping, Assessment of Stability, and Relation to Alzheimer's Disease

Randy L. Buckner;Jorge Sepulcre;Tanveer Talukdar;Fenna M. Krienen.
The Journal of Neuroscience (2009)

2708 Citations

Individual Variability in Functional Connectivity Architecture of the Human Brain

Sophia Mueller;Sophia Mueller;Danhong Wang;Michael D. Fox;B.T. Thomas Yeo;B.T. Thomas Yeo.
Neuron (2013)

826 Citations

Resting-state networks link invasive and noninvasive brain stimulation across diverse psychiatric and neurological diseases.

Michael D. Fox;Randy L. Buckner;Hesheng Liu;M. Mallar Chakravarty;M. Mallar Chakravarty.
Proceedings of the National Academy of Sciences of the United States of America (2014)

462 Citations

Timing, Timing, Timing: Fast Decoding of Object Information from Intracranial Field Potentials in Human Visual Cortex

Hesheng Liu;Hesheng Liu;Yigal Agam;Joseph Russell Madsen;Gabriel Kreiman;Gabriel Kreiman.
Neuron (2009)

402 Citations

The Organization of Local and Distant Functional Connectivity in the Human Brain

Jorge Sepulcre;Jorge Sepulcre;Hesheng Liu;Tanveer Talukdar;Iñigo Martincorena.
PLOS Computational Biology (2010)

377 Citations

Parcellating cortical functional networks in individuals

Danhong Wang;Randy L Buckner;Michael D Fox;Michael D Fox;Daphne J Holt.
Nature Neuroscience (2015)

357 Citations

Evidence from intrinsic activity that asymmetry of the human brain is controlled by multiple factors.

Hesheng Liu;Steven M. Stufflebeam;Jorge Sepulcre;Trey Hedden.
Proceedings of the National Academy of Sciences of the United States of America (2009)

340 Citations

Spatial Topography of Individual-Specific Cortical Networks Predicts Human Cognition, Personality, and Emotion.

Ru Kong;Jingwei Li;Csaba Orban;Mert R Sabuncu.
Cerebral Cortex (2019)

335 Citations

The Dynamics of Cortical and Hippocampal Atrophy in Alzheimer Disease

Mert R. Sabuncu;Rahul S. Desikan;Jorge Sepulcre;Boon Thye T. Yeo.
JAMA Neurology (2011)

325 Citations

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