D-Index & Metrics Best Publications

D-Index & Metrics 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.

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 93 Citations 36,957 203 World Ranking 565 National Ranking 325

Overview

What is he best known for?

The fields of study he is best known for:

  • Neuroscience
  • Internal medicine
  • Artificial intelligence

His primary areas of investigation include Neuroscience, Working memory, Prefrontal cortex, Cognition and Sensory system. His work in Neuroscience is not limited to one particular discipline; it also encompasses Mnemonic. Xiao Jing Wang has researched Working memory in several fields, including Nerve net, Electroencephalography, Stimulus, NMDA receptor and Disinhibition.

His research investigates the connection with Prefrontal cortex and areas like Stimulation which intersect with concerns in Neurochemical, Executive functions and Ageing. His Cognition research is multidisciplinary, relying on both Cognitive psychology and Schizophrenia. His Sensory system study integrates concerns from other disciplines, such as Attractor, Perception, Hierarchy and Primate.

His most cited work include:

  • Mechanisms of Gamma Oscillations (1471 citations)
  • Gamma Oscillation by Synaptic Inhibition in a Hippocampal Interneuronal Network Model (1280 citations)
  • Neurophysiological and Computational Principles of Cortical Rhythms in Cognition (1277 citations)

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

His scientific interests lie mostly in Neuroscience, Working memory, Cognition, Prefrontal cortex and Artificial intelligence. His work in Sensory system, Cortex, Stimulus, Neurophysiology and Neocortex are all subfields of Neuroscience research. Xiao Jing Wang focuses mostly in the field of Working memory, narrowing it down to topics relating to Network model and, in certain cases, Communication.

His Elementary cognitive task study, which is part of a larger body of work in Cognition, is frequently linked to Mechanism and ENCODE, bridging the gap between disciplines. His work carried out in the field of Prefrontal cortex brings together such families of science as Cognitive psychology and Excitatory postsynaptic potential. The Excitatory postsynaptic potential study combines topics in areas such as Biological neural network and Neurotransmission.

He most often published in these fields:

  • Neuroscience (69.52%)
  • Working memory (29.45%)
  • Cognition (24.66%)

What were the highlights of his more recent work (between 2014-2021)?

  • Neuroscience (69.52%)
  • Working memory (29.45%)
  • Cognition (24.66%)

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

Neuroscience, Working memory, Cognition, Cortex and Artificial intelligence are his primary areas of study. Xiao Jing Wang performs integrative study on Neuroscience and Mechanism in his works. His Working memory study combines topics from a wide range of disciplines, such as Cognitive psychology, Categorization, Inhibitory control, Visual perception and Prefrontal cortex.

His Cognition research integrates issues from Schizophrenia, DUAL, Balance and Neural coding. His Cortex research includes elements of Macaque, Connectome, Feed forward, Interneuron and Cortex. In Artificial intelligence, Xiao Jing Wang works on issues like Machine learning, which are connected to Key, Stochastic process and Social psychology.

Between 2014 and 2021, his most popular works were:

  • A Large-Scale Circuit Mechanism for Hierarchical Dynamical Processing in the Primate Cortex (311 citations)
  • A Large-Scale Circuit Mechanism for Hierarchical Dynamical Processing in the Primate Cortex (311 citations)
  • Stable population coding for working memory coexists with heterogeneous neural dynamics in prefrontal cortex (174 citations)

In his most recent research, the most cited papers focused on:

  • Neuroscience
  • Internal medicine
  • Artificial intelligence

Xiao Jing Wang focuses on Neuroscience, Cognition, Working memory, Artificial intelligence and Cortex. Xiao Jing Wang integrates Neuroscience and Mechanism in his research. His research integrates issues of Synaptic plasticity and Neural coding in his study of Cognition.

He combines subjects such as Prefrontal cortex and Categorization with his study of Working memory. His work deals with themes such as Cerebral cortex, Cytoarchitecture, Brain mapping and Feed forward, which intersect with Cortex. His studies deal with areas such as Neocortex, Primate, Interneuron and Magnetoencephalography as well as Sensory system.

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

Mechanisms of Gamma Oscillations

György Buzsáki;Xiao-Jing Wang.
Annual Review of Neuroscience (2012)

2208 Citations

Neurophysiological and Computational Principles of Cortical Rhythms in Cognition

Xiao Jing Wang.
Physiological Reviews (2010)

1860 Citations

Gamma Oscillation by Synaptic Inhibition in a Hippocampal Interneuronal Network Model

Xiao Jing Wang;György Buzsáki.
The Journal of Neuroscience (1996)

1735 Citations

Probabilistic decision making by slow reverberation in cortical circuits.

Xiao Jing Wang.
Neuron (2002)

1217 Citations

The importance of mixed selectivity in complex cognitive tasks

Mattia Rigotti;Omri Barak;Omri Barak;Melissa R. Warden;Melissa R. Warden;Xiao Jing Wang;Xiao Jing Wang.
Nature (2013)

1192 Citations

Synaptic Mechanisms and Network Dynamics Underlying Spatial Working Memory in a Cortical Network Model

Albert Compte;Nicolas Brunel;Nicolas Brunel;Patricia S. Goldman-Rakic;Xiao Jing Wang.
Cerebral Cortex (2000)

1122 Citations

Synaptic reverberation underlying mnemonic persistent activity

Xiao Jing Wang.
Trends in Neurosciences (2001)

1113 Citations

A Recurrent Network Mechanism of Time Integration in Perceptual Decisions

Kong Fatt Wong;Xiao Jing Wang.
The Journal of Neuroscience (2006)

918 Citations

The role of default network deactivation in cognition and disease.

Alan Anticevic;Michael W. Cole;John D. Murray;Philip R. Corlett.
Trends in Cognitive Sciences (2012)

890 Citations

Synaptic basis of cortical persistent activity: the importance of NMDA receptors to working memory.

Xiao Jing Wang.
The Journal of Neuroscience (1999)

883 Citations

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