What is she best known for?
The fields of study she is best known for:
- Artificial intelligence
- Statistics
- Machine learning
Jing Sui focuses on Schizophrenia, Artificial intelligence, Neuroscience, Neuroimaging and Resting state fMRI. The various areas that she examines in her Schizophrenia study include Developmental psychology, Cognitive psychology and Dynamic functional connectivity. Within one scientific family, Jing Sui focuses on topics pertaining to Machine learning under Artificial intelligence, and may sometimes address concerns connected to Schizophrenia and Data mining.
Her research in Neuroscience focuses on subjects like Fractional anisotropy, which are connected to Visual cortex, Positive and Negative Syndrome Scale and Frontal lobe. Her Neuroimaging research is multidisciplinary, relying on both Big data, Deep learning, Disease and Autism. Her Resting state fMRI study combines topics from a wide range of disciplines, such as Brain network, Functional networks and Prefrontal cortex.
Her most cited work include:
- Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls. (471 citations)
- A review of multivariate methods for multimodal fusion of brain imaging data (258 citations)
- Discriminating schizophrenia and bipolar disorder by fusing fMRI and DTI in a multimodal CCA+ joint ICA model. (192 citations)
What are the main themes of her work throughout her whole career to date?
Jing Sui mostly deals with Neuroscience, Artificial intelligence, Neuroimaging, Schizophrenia and Functional magnetic resonance imaging. Her study looks at the intersection of Neuroscience and topics like Fractional anisotropy with Corpus callosum. Her Artificial intelligence study combines topics in areas such as Schizophrenia, Machine learning and Pattern recognition.
Her research in Neuroimaging intersects with topics in Deep learning, Disease, Autism spectrum disorder, Discriminative model and Feature selection. The Schizophrenia study combines topics in areas such as Bipolar disorder, Temporal lobe and Human brain. Her Functional magnetic resonance imaging research includes themes of Psychosis and Audiology.
She most often published in these fields:
- Neuroscience (44.27%)
- Artificial intelligence (39.53%)
- Neuroimaging (39.53%)
What were the highlights of her more recent work (between 2019-2021)?
- Neuroscience (44.27%)
- Neuroimaging (39.53%)
- Cognition (18.97%)
In recent papers she was focusing on the following fields of study:
Her primary areas of investigation include Neuroscience, Neuroimaging, Cognition, Artificial intelligence and Major depressive disorder. Her Neuroscience research integrates issues from Fractional anisotropy and Autism. She works mostly in the field of Neuroimaging, limiting it down to concerns involving Schizophrenia and, occasionally, Human brain.
Her Cognition study integrates concerns from other disciplines, such as Cognitive psychology and Mediation. Her studies in Artificial intelligence integrate themes in fields like Machine learning and Pattern recognition. Her work deals with themes such as Audiology, Functional magnetic resonance imaging, Dynamic functional connectivity, Default mode network and Electroconvulsive therapy, which intersect with Major depressive disorder.
Between 2019 and 2021, her most popular works were:
- Neuroimaging-based Individualized Prediction of Cognition and Behavior for Mental Disorders and Health: Methods and Promises. (54 citations)
- Gender Differences in Connectome-based Predictions of Individualized Intelligence Quotient and Sub-domain Scores. (38 citations)
- Task-induced brain connectivity promotes the detection of individual differences in brain-behavior relationships (33 citations)
In her most recent research, the most cited papers focused on:
- Artificial intelligence
- Statistics
- Machine learning
Neuroimaging, Neuroscience, Cognition, Default mode network and Functional magnetic resonance imaging are her primary areas of study. As a part of the same scientific study, Jing Sui usually deals with the Neuroimaging, concentrating on Autism spectrum disorder and frequently concerns with Major depressive disorder, Bipolar disorder, Inferior temporal gyrus and Anterior cingulate cortex. Her Major depressive disorder course of study focuses on Schizophrenia and Fractional anisotropy.
The Temporal cortex, Insula and Electroconvulsive therapy research Jing Sui does as part of her general Neuroscience study is frequently linked to other disciplines of science, such as Mechanism, therefore creating a link between diverse domains of science. She combines subjects such as Cognitive psychology and Connectome with her study of Cognition. Her Functional magnetic resonance imaging research incorporates themes from Diffusion MRI, Artificial intelligence and Pattern recognition.
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