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 42 Citations 5,680 131 World Ranking 3088 National Ranking 30

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Statistics
  • Machine learning

Jing Sui spends much of his time researching Schizophrenia, Neuroscience, Artificial intelligence, Neuroimaging and Resting state fMRI. His studies deal with areas such as Developmental psychology, Cognitive psychology, Functional magnetic resonance imaging and Cognition as well as Schizophrenia. His Fractional anisotropy research extends to Neuroscience, which is thematically connected.

The Artificial intelligence study which covers Machine learning that intersects with Schizophrenia and Data mining. Jing Sui interconnects Deep learning, Superior temporal gyrus, Disease and Big data in the investigation of issues within Neuroimaging. As a member of one scientific family, Jing Sui mostly works in the field of Resting state fMRI, focusing on Functional networks and, on occasion, Functional neuroimaging, Major depressive disorder and Clinical psychology.

His most cited work include:

  • Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls (433 citations)
  • A review of multivariate methods for multimodal fusion of brain imaging data (243 citations)
  • Discriminating schizophrenia and bipolar disorder by fusing fMRI and DTI in a multimodal CCA+ joint ICA model. (183 citations)

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

His primary areas of study are Artificial intelligence, Neuroscience, Neuroimaging, Schizophrenia and Pattern recognition. His research in Artificial intelligence intersects with topics in Schizophrenia and Machine learning. As part of his studies on Neuroscience, he often connects relevant subjects like Fractional anisotropy.

Jing Sui combines subjects such as Cognition, Modality, Discriminative model, Feature selection and Brain mapping with his study of Neuroimaging. Jing Sui works mostly in the field of Schizophrenia, limiting it down to topics relating to Bipolar disorder and, in certain cases, Major depressive disorder, Clinical psychology and Mood disorders, as a part of the same area of interest. His research integrates issues of Psychosis and Voxel in his study of Functional magnetic resonance imaging.

He most often published in these fields:

  • Artificial intelligence (43.72%)
  • Neuroscience (46.56%)
  • Neuroimaging (44.13%)

What were the highlights of his more recent work (between 2019-2021)?

  • Neuroscience (46.56%)
  • Neuroimaging (44.13%)
  • Cognition (20.65%)

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

Jing Sui mostly deals with Neuroscience, Neuroimaging, Cognition, Artificial intelligence and Major depressive disorder. In his research on the topic of Neuroscience, Underlying disease and Functional networks is strongly related with Autism. His Neuroimaging research incorporates themes from Schizophrenia, Electroencephalography, Bipolar disorder, Connectome and Clinical psychology.

In the field of Schizophrenia, his study on Positive and Negative Syndrome Scale overlaps with subjects such as In patient. His biological study spans a wide range of topics, including Cognitive psychology, Multimodal imaging and Mediation. His studies in Artificial intelligence integrate themes in fields like Regression analysis, Brain mapping and Pattern recognition.

Between 2019 and 2021, his most popular works were:

  • Neuroimaging-based Individualized Prediction of Cognition and Behavior for Mental Disorders and Health: Methods and Promises. (29 citations)
  • Gender Differences in Connectome-based Predictions of Individualized Intelligence Quotient and Sub-domain Scores. (26 citations)
  • Task-induced brain connectivity promotes the detection of individual differences in brain-behavior relationships (22 citations)

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

  • Artificial intelligence
  • Statistics
  • Machine learning

His primary scientific interests are in Neuroscience, Neuroimaging, Cognition, Functional magnetic resonance imaging and Default mode network. He connects Neuroscience with Mechanism in his research. His work deals with themes such as Connectome and Artificial intelligence, which intersect with Neuroimaging.

His research investigates the connection between Cognition and topics such as Cognitive psychology that intersect with issues in Neuropsychology. His Functional magnetic resonance imaging research integrates issues from Schizophrenia, Fractional anisotropy, Diffusion MRI, Major depressive disorder and Pattern recognition. His study in Default mode network is interdisciplinary in nature, drawing from both Clinical psychology and Attention deficit hyperactivity 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

Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls

Mohammad R. Arbabshirani;Sergey M. Plis;Jing Sui;Vince D. Calhoun.
NeuroImage (2017)

396 Citations

A review of multivariate methods for multimodal fusion of brain imaging data

Jing Sui;Tülay Adali;Qingbao Yu;Jiayu Chen.
Journal of Neuroscience Methods (2012)

305 Citations

Multimodal Fusion of Brain Imaging Data: A Key to Finding the Missing Link(s) in Complex Mental Illness

Vince D. Calhoun;Jing Sui.
Biological Psychiatry: Cognitive Neuroscience and Neuroimaging (2016)

213 Citations

Discriminating schizophrenia and bipolar disorder by fusing fMRI and DTI in a multimodal CCA+ joint ICA model.

Jing Sui;Godfrey D. Pearlson;Arvind Caprihan;Tülay Adali.
NeuroImage (2011)

205 Citations

Exploring the Psychosis Functional Connectome: Aberrant Intrinsic Networks in Schizophrenia and Bipolar Disorder

Vince D Calhoun;Vince D Calhoun;Jing Sui;Kent Kiehl;Kent Kiehl;Jessica A Turner.
Frontiers in Psychiatry (2012)

195 Citations

A Hybrid Machine Learning Method for Fusing fMRI and Genetic Data: Combining both Improves Classification of Schizophrenia

Honghui Yang;Honghui Yang;Jingyu Liu;Jingyu Liu;Jing Sui;Jing Sui;Godfrey Pearlson.
Frontiers in Human Neuroscience (2010)

187 Citations

Assessing dynamic brain graphs of time-varying connectivity in fMRI data: application to healthy controls and patients with schizophrenia.

Qingbao Yu;Erik B. Erhardt;Jing Sui;Yuhui Du.
NeuroImage (2015)

158 Citations

Synthesis of Polyaniline with a Hollow, Octahedral Morphology by Using a Cuprous Oxide Template

Zhiming Zhang;Jing Sui;Lijuan Zhang;Meixiang Wan.
Advanced Materials (2005)

155 Citations

Altered topological properties of functional network connectivity in schizophrenia during resting state: a small-world brain network study.

Qingbao Yu;Jing Sui;Srinivas Rachakonda;Hao He;Hao He.
PLOS ONE (2011)

137 Citations

Interaction among subsystems within default mode network diminished in schizophrenia patients: A dynamic connectivity approach.

Yuhui Du;Yuhui Du;Godfrey D. Pearlson;Qingbao Yu;Hao He.
Schizophrenia Research (2016)

130 Citations

Best Scientists Citing Jing Sui

Vince D. Calhoun

Vince D. Calhoun

Georgia State University

Publications: 433

Jessica A. Turner

Jessica A. Turner

Georgia State University

Publications: 88

Godfrey D. Pearlson

Godfrey D. Pearlson

Yale University

Publications: 70

Daniel H. Mathalon

Daniel H. Mathalon

University of California, San Francisco

Publications: 55

Tulay Adali

Tulay Adali

University of Maryland, Baltimore County

Publications: 40

Danilo Bzdok

Danilo Bzdok

Montreal Neurological Institute and Hospital

Publications: 39

Dinggang Shen

Dinggang Shen

ShanghaiTech University

Publications: 38

Qiyong Gong

Qiyong Gong

Sichuan University

Publications: 30

Theo G.M. van Erp

Theo G.M. van Erp

University of California, Irvine

Publications: 29

Juan R. Bustillo

Juan R. Bustillo

University of New Mexico

Publications: 28

Danielle S. Bassett

Danielle S. Bassett

University of Pennsylvania

Publications: 27

Paul M. Thompson

Paul M. Thompson

University of Southern California

Publications: 27

John A. Sweeney

John A. Sweeney

University of Cincinnati

Publications: 26

Simon B. Eickhoff

Simon B. Eickhoff

Heinrich Heine University Düsseldorf

Publications: 26

Lars T. Westlye

Lars T. Westlye

University of Oslo

Publications: 25

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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