What is he best known for?
The fields of study he is best known for:
His scientific interests lie mostly in Cognitive psychology, Face perception, Functional magnetic resonance imaging, Cognition and Neuroscience.
He has included themes like Visual word form area, Extrastriate cortex, Extraversion and introversion and Openness to experience in his Cognitive psychology study.
Jia Liu has researched Face perception in several fields, including Communication, Stimulus, Magnetoencephalography, Visual perception and Autism.
His Communication research is multidisciplinary, incorporating elements of Categorization, Visual evoked potentials, Audiology and Perception.
The various areas that Jia Liu examines in his Functional magnetic resonance imaging study include Developmental psychology, Neural correlates of consciousness and Brain mapping.
His Cognition study combines topics from a wide range of disciplines, such as Facial recognition system and Cognitive neuroscience of visual object recognition.
His most cited work include:
- Remdesivir and chloroquine effectively inhibit the recently emerged novel coronavirus (2019-nCoV) in vitro. (3149 citations)
- Stages of processing in face perception: an MEG study. (582 citations)
- Visual word processing and experiential origins of functional selectivity in human extrastriate cortex (299 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Cognitive psychology, Functional magnetic resonance imaging, Neuroscience, Artificial intelligence and Cognition.
His studies in Cognitive psychology integrate themes in fields like Visual perception, Perception, Face perception, Communication and Facial recognition system.
The Communication study combines topics in areas such as Stimulus and Visual word form area.
Jia Liu interconnects Developmental psychology, Resting state fMRI, Neuroimaging and Brain mapping in the investigation of issues within Functional magnetic resonance imaging.
In his research on the topic of Artificial intelligence, Identification is strongly related with Pattern recognition.
His Cognition study frequently draws connections between related disciplines such as Autism.
He most often published in these fields:
- Cognitive psychology (23.53%)
- Functional magnetic resonance imaging (21.01%)
- Neuroscience (15.97%)
What were the highlights of his more recent work (between 2018-2021)?
- Artificial intelligence (14.71%)
- Internal medicine (7.14%)
- Convolutional neural network (5.04%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Artificial intelligence, Internal medicine, Convolutional neural network, Cardiology and Pattern recognition.
His study on Artificial intelligence is mostly dedicated to connecting different topics, such as Cognition.
His Cognition research is under the purview of Neuroscience.
The concepts of his Convolutional neural network study are interwoven with issues in Cognitive neuroscience of visual object recognition, Representation, Face, Categorization and Similarity.
His study looks at the relationship between Pattern recognition and fields such as Identification, as well as how they intersect with chemical problems.
Many of his studies involve connections with topics such as Functional magnetic resonance imaging and Cognitive psychology.
Between 2018 and 2021, his most popular works were:
- Remdesivir and chloroquine effectively inhibit the recently emerged novel coronavirus (2019-nCoV) in vitro. (3149 citations)
- Discovery of baicalin and baicalein as novel, natural product inhibitors of SARS-CoV-2 3CL protease in vitro (53 citations)
- Anti-SARS-CoV-2 Potential of Artemisinins In Vitro. (21 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Internal medicine
- Enzyme
Jia Liu spends much of his time researching Pharmacology, Artificial intelligence, Drug discovery, Paleogene and Coronavirus.
His work on Pharmacokinetics, Drug repositioning and Antiviral drug is typically connected to Artemisinins and Dihydroartemisinin as part of general Pharmacology study, connecting several disciplines of science.
His research in Artificial intelligence intersects with topics in Neural system, Machine learning and Pattern recognition.
His research investigates the connection between Pattern recognition and topics such as Face that intersect with problems in Process, Convolutional neural network, Similarity, Categorization and Representation.
In his works, he performs multidisciplinary study on Drug discovery and hERG.
His research ties Lopinavir and Coronavirus together.
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