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 87 Citations 30,356 373 World Ranking 451 National Ranking 4

Research.com Recognitions

Awards & Achievements

2021 - Turan Itil Career Contribution Award, EEG &Clinical Neuroscience Society

2020 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions in pattern recognition toward the understanding of brain organization and dysfunctions using neuroimaging

2020 - Hermann von Helmholtz Award, International Neural Network Society

2020 - IEEE Fellow For contributions to neuroimaging techniques

2019 - Fellow of the Indian National Academy of Engineering (INAE)

2019 - Fellow, American Institute of Medical and Biological Engineering (AIMBE) For outstanding contributions to understanding of brain structural and functional organization, and their dysfunctions with neuroimaging

2019 - Member of Academia Europaea

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Neuroscience
  • Statistics

Tianzi Jiang mainly focuses on Neuroscience, Resting state fMRI, Functional magnetic resonance imaging, Brain mapping and Default mode network. Neuroscience is closely attributed to Alzheimer's disease in his study. His Resting state fMRI study combines topics from a wide range of disciplines, such as Precuneus, Thalamus, Functional imaging, Brain activity and meditation and Attention deficit hyperactivity disorder.

His research integrates issues of Psychosis, Independent component analysis, Central nervous system, Magnetic resonance imaging and Occipital lobe in his study of Functional magnetic resonance imaging. His Brain mapping research includes elements of Paralimbic cortex, Superior parietal lobule, Motor cortex and Topology. His Default mode network research integrates issues from Betweenness centrality, Centrality, Abnormality, Neurocognitive and Clustering coefficient.

His most cited work include:

  • Regional homogeneity approach to fMRI data analysis (1310 citations)
  • Disrupted small-world networks in schizophrenia. (845 citations)
  • The Human Brainnetome Atlas: A New Brain Atlas Based on Connectional Architecture (749 citations)

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

The scientist’s investigation covers issues in Neuroscience, Resting state fMRI, Functional magnetic resonance imaging, Artificial intelligence and Neuroimaging. His research investigates the connection between Neuroscience and topics such as Diffusion MRI that intersect with issues in White matter. His Resting state fMRI research incorporates themes from Precuneus, Cognition, Posterior cingulate, Functional imaging and Brain activity and meditation.

His Functional magnetic resonance imaging research is multidisciplinary, incorporating elements of Schizophrenia and Human brain. His Artificial intelligence research includes themes of Machine learning, Computer vision and Pattern recognition. Many of his studies involve connections with topics such as Alzheimer's disease and Neuroimaging.

He most often published in these fields:

  • Neuroscience (62.15%)
  • Resting state fMRI (31.81%)
  • Functional magnetic resonance imaging (31.48%)

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

  • Neuroscience (62.15%)
  • Neuroimaging (19.90%)
  • Functional magnetic resonance imaging (31.48%)

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

Neuroscience, Neuroimaging, Functional magnetic resonance imaging, Schizophrenia and Resting state fMRI are his primary areas of study. Prefrontal cortex, Functional connectivity, Functional networks, Working memory and Cortex are among the areas of Neuroscience where the researcher is concentrating his efforts. Tianzi Jiang has included themes like Connectome, Tractography, Magnetic resonance imaging, Disease and Artificial intelligence in his Neuroimaging study.

Tianzi Jiang combines subjects such as Brain function and Elementary cognitive task with his study of Functional magnetic resonance imaging. His Schizophrenia research includes elements of White matter, Fractional anisotropy, Audiology, Dorsolateral prefrontal cortex and Brain mapping. His Resting state fMRI study incorporates themes from Biomarker and Default mode network.

Between 2017 and 2021, his most popular works were:

  • Multimodal neuromarkers in schizophrenia via cognition-guided MRI fusion (68 citations)
  • Common functional networks in the mouse brain revealed by multi-centre resting-state fMRI analysis (40 citations)
  • Connectome-based individualized prediction of temperament trait scores. (39 citations)

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

Regional homogeneity approach to fMRI data analysis

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

1781 Citations

Disrupted small-world networks in schizophrenia.

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

1062 Citations

The Human Brainnetome Atlas: A New Brain Atlas Based on Connectional Architecture

Lingzhong Fan;Hai Li;Junjie Zhuo;Yu Zhang.
Cerebral Cortex (2016)

846 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

Altered functional connectivity in early Alzheimer's disease: A resting‐state fMRI study

Kun Wang;Meng Liang;Liang Wang;Lixia Tian.
Human Brain Mapping (2007)

734 Citations

Brain anatomical network and intelligence.

Y Li;Y Liu;J Li;W Qin.
PLOS Computational Biology (2009)

595 Citations

HMDD v2.0: a database for experimentally supported human microRNA and disease associations

Yang Li;Chengxiang Qiu;Jian Tu;Bin Geng.
Nucleic Acids Research (2014)

589 Citations

Regional coherence changes in the early stages of Alzheimer’s disease: A combined structural and resting-state functional MRI study

Yong He;Liang Wang;Yufeng Zang;Yufeng Zang;Lixia Tian.
NeuroImage (2007)

555 Citations

Medical Image Computing and Computer-Assisted Intervention - MICCAI 2010

Tianzi Jiang;Nassir Navab;Josien P. W. Pluim;Max A. Viergever.
Lecture Notes in Computer Science (2010)

555 Citations

Widespread functional disconnectivity in schizophrenia with resting-state functional magnetic resonance imaging.

Meng Liang;Yuan Zhou;Tianzi Jiang;Zhening Liu.
Neuroreport (2006)

474 Citations

Best Scientists Citing Tianzi Jiang

Vince D. Calhoun

Vince D. Calhoun

Georgia State University

Publications: 273

Dinggang Shen

Dinggang Shen

ShanghaiTech University

Publications: 157

Qiyong Gong

Qiyong Gong

Sichuan University

Publications: 153

Yong He

Yong He

Beijing Normal University

Publications: 141

Michael P. Milham

Michael P. Milham

University of California, Davis

Publications: 129

Simon B. Eickhoff

Simon B. Eickhoff

Heinrich Heine University Düsseldorf

Publications: 106

Jie Tian

Jie Tian

Chinese Academy of Sciences

Publications: 101

Paul M. Thompson

Paul M. Thompson

University of Southern California

Publications: 93

Jing Sui

Jing Sui

Beijing Normal University

Publications: 88

Kuncheng Li

Kuncheng Li

Capital Medical University

Publications: 86

Jiang Qiu

Jiang Qiu

Southwest University

Publications: 85

Yu-Feng Zang

Yu-Feng Zang

Hangzhou Normal University

Publications: 84

Xi-Nian Zuo

Xi-Nian Zuo

Chinese Academy of Sciences

Publications: 84

Chunshui Yu

Chunshui Yu

Tianjin Medical University General Hospital

Publications: 84

Edward T. Bullmore

Edward T. Bullmore

University of Cambridge

Publications: 79

Godfrey D. Pearlson

Godfrey D. Pearlson

Yale University

Publications: 72

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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