What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Magnetic resonance imaging
- Neuroscience
Qiyong Gong focuses on Neuroscience, Resting state fMRI, Functional magnetic resonance imaging, Magnetic resonance imaging and Psychiatry.
His Neuroscience study combines topics in areas such as First episode and Voxel.
His studies deal with areas such as Social anxiety, Posterior cingulate, Region of interest, Functional imaging and Functional neuroimaging as well as Resting state fMRI.
His Functional magnetic resonance imaging research incorporates themes from Insula, Orbitofrontal cortex, Human brain and Amygdala.
His Magnetic resonance imaging research is multidisciplinary, incorporating perspectives in Drug-naïve, Nuclear magnetic resonance, Depression and Pathology.
In his work, Grey matter is strongly intertwined with Meta-analysis, which is a subfield of Psychiatry.
His most cited work include:
- Disrupted brain connectivity networks in drug-naive, first-episode major depressive disorder. (563 citations)
- Parcellation‐dependent small‐world brain functional networks: A resting‐state fMRI study (474 citations)
- Uncovering Intrinsic Modular Organization of Spontaneous Brain Activity in Humans (467 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Neuroscience, Functional magnetic resonance imaging, Resting state fMRI, Magnetic resonance imaging and Internal medicine.
Qiyong Gong works mostly in the field of Neuroscience, limiting it down to topics relating to Voxel and, in certain cases, Voxel-based morphometry.
In Functional magnetic resonance imaging, he works on issues like Audiology, which are connected to Psychiatry and Precuneus.
His study explores the link between Resting state fMRI and topics such as Drug-naïve that cross with problems in Parkinson's disease.
Magnetic resonance imaging is frequently linked to Pathology in his study.
The concepts of his Internal medicine study are interwoven with issues in White matter, Diffusion MRI, Fractional anisotropy, Cardiology and Major depressive disorder.
He most often published in these fields:
- Neuroscience (38.62%)
- Functional magnetic resonance imaging (24.15%)
- Resting state fMRI (23.65%)
What were the highlights of his more recent work (between 2019-2021)?
- Neuroscience (38.62%)
- Functional magnetic resonance imaging (24.15%)
- Neuroimaging (14.47%)
In recent papers he was focusing on the following fields of study:
His main research concerns Neuroscience, Functional magnetic resonance imaging, Neuroimaging, Magnetic resonance imaging and Default mode network.
His Functional magnetic resonance imaging research includes themes of Connectome, Cognition, Resting state fMRI, Internal medicine and Epilepsy.
His studies examine the connections between Internal medicine and genetics, as well as such issues in Schizophrenia, with regards to Diffusion MRI and Corpus callosum.
Qiyong Gong interconnects Traumatic stress, Voxel-based morphometry, Visual cortex and Artificial intelligence in the investigation of issues within Neuroimaging.
His Magnetic resonance imaging study incorporates themes from Gadolinium and Cardiology.
The concepts of his Default mode network study are interwoven with issues in Neuropathology, Neurology, Posterior cingulate and Parkinson's disease.
Between 2019 and 2021, his most popular works were:
- A Nanostrategy for Efficient Imaging-Guided Antitumor Therapy through a Stimuli-Responsive Branched Polymeric Prodrug. (60 citations)
- Dendronized‐Polymer Disturbing Cells' Stress Protection by Targeting Metabolism Leads to Tumor Vulnerability (49 citations)
- Glycodendron/pyropheophorbide-a (Ppa)-functionalized hyaluronic acid as a nanosystem for tumor photodynamic therapy (35 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Magnetic resonance imaging
- Cognition
His primary scientific interests are in Neuroscience, Neuroimaging, Magnetic resonance imaging, Functional magnetic resonance imaging and Voxel.
His Neuroscience research integrates issues from Brain Gray Matter, Artificial neural network and Meta-analysis.
As a member of one scientific family, he mostly works in the field of Neuroimaging, focusing on Artificial intelligence and, on occasion, Machine learning.
His research in Magnetic resonance imaging focuses on subjects like MEDLINE, which are connected to Medical physics and Computer vision.
Qiyong Gong has included themes like Resting state fMRI, Brain activity and meditation and Epilepsy in his Functional magnetic resonance imaging study.
The various areas that he examines in his Voxel study include Psychosis, First episode psychosis and Voxel-based morphometry.
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