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)
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