World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
72
Citations
28485
World Ranking
2262
National Ranking
1076

Psychology

D-Index
72
Citations
28431
World Ranking
2022
National Ranking
1176

Overview

Jin Fan is affiliated with the City University of New York in the United States. Their research primarily spans the fields of Neuroscience and Medicine, with a significant focus on Cognitive Neuroscience and Experimental and Clinical Psychology subfields.

Their work covers a diverse range of topics within neuroscience and psychology, including:

  • Neural and Behavioral Psychology Studies
  • Functional Brain Connectivity Studies
  • Neural dynamics and brain function
  • EEG and Brain-Computer Interfaces
  • Time Series Analysis and Forecasting
  • Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
  • Stock Market Forecasting Methods

Jin Fan has contributed to several notable publications. Some recent papers include:

  • Parallel spatio-temporal attention-based TCN for multivariate time series prediction, 2021, published in Neural Computing and Applications
  • 2024 Chinese Expert Consensus Guidelines on the Diagnosis and Treatment of Atrial Fibrillation in the Elderly, Endorsed by Geriatric Society of Chinese Medical Association (Cardiovascular Group) and Chinese Society of Geriatric Health Medicine (Cardiovascular Branch): Executive Summary, 2024, Thrombosis and Haemostasis
  • Supramodal Mechanisms of the Cognitive Control Network in Uncertainty Processing, 2020, Cerebral Cortex
  • Morphometrical Brain Markers of Sex Difference, 2021, Cerebral Cortex
  • Amygdala-prefrontal connectivity modulates loss aversion bias in anxious individuals, 2020, NeuroImage

Frequent co-authors collaborating with Jin Fan include:

  • Tingting Wu
  • Alfredo Spagna
  • Kurt P. Schulz
  • Yuxi Li
  • Dongling Zhong

Jin Fan's research has appeared repeatedly in several key publication venues such as:

  • NeuroImage
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Cerebral Cortex
  • Neuropsychologia
  • International Journal of Machine Learning and Cybernetics

Best Publications

  • Testing the Efficiency and Independence of Attentional Networks

    Jin Fan;Bruce D. McCandliss;Tobias Sommer;Amir Raz

  • The activation of attentional networks.

    Jin Fan;Bruce D. McCandliss;John Fossella;Jonathan I. Flombaum

  • Development of attentional networks in childhood.

    M.Rosario Rueda;Jin Fan;Bruce D McCandliss;Jessica D Halparin

  • Common and distinct networks underlying reward valence and processing stages: A meta-analysis of functional neuroimaging studies

    Xun Liu;Jacqueline Hairston;Madeleine Schrier;Jin Fan;Jin Fan

  • Cognitive and brain consequences of conflict.

    Jin Fan;Jonathan I. Flombaum;Bruce D. McCandliss;Kathleen M. Thomas

  • Neural basis of cultural influence on self-representation.

    Ying Zhu;Li Zhang;Jin Fan;Shihui Han

  • Anterior Insular Cortex and Emotional Awareness

    Xiaosi Gu;Xiaosi Gu;Patrick R. Hof;Karl J. Friston;Jin Fan

  • Mapping the genetic variation of executive attention onto brain activity

    Jin Fan;John Fossella;Tobias Sommer;Yanghong Wu

  • Testing the behavioral interaction and integration of attentional networks.

    Jin Fan;Xiaosi Gu;Kevin G. Guise;Xun Liu

  • Assessing the molecular genetics of attention networks

    John Fossella;Tobias Sommer;Jin Fan;Yanhong Wu

  • Assessing the heritability of attentional networks

    Jin Fan;Yanhong Wu;John A Fossella;Michael I Posner

  • Topics in Integrative Neuroscience: Attention as an organ system

    Michael I. Posner;Jin Fan

  • Does the Emotional Go/No-Go Task Really Measure Behavioral Inhibition? Convergence with Measures on a Non-Emotional Analog

    Kurt P. Schulz;Jin Fan;Olga Magidina;David J. Marks

  • Fronto-limbic dysfunction in response to facial emotion in borderline personality disorder: an event-related fMRI study.

    Michael J. Minzenberg;Michael J. Minzenberg;Michael J. Minzenberg;Jin Fan;Antonia S. New;Cheuk Y. Tang

  • Development of attentional networks: An fMRI study with children and adults

    Kerstin Konrad;Susanne Neufang;Christiane M. Thiel;Karsten Specht

  • The Relation of Brain Oscillations to Attentional Networks

    Jin Fan;Jennie Byrne;Michael S Worden;Kevin G Guise

  • Hypnotic suggestion reduces conflict in the human brain

    Amir Raz;Jin Fan;Michael I. Posner

  • Response inhibition in adolescents diagnosed with attention deficit hyperactivity disorder during childhood: an event-related FMRI study

    Kurt P. Schulz;Jin Fan;Cheuk Y. Tang;Jeffrey H. Newcorn

  • Hypnotic suggestion and the modulation of Stroop interference.

    Amir Raz;Theodore Shapiro;Jin Fan;Michael I. Posner

  • A functional magnetic resonance imaging study of deliberate emotion regulation in resilience and posttraumatic stress disorder.

    Antonia S. New;Antonia S. New;Jin Fan;James W. Murrough;Xun Liu

  • Using genetic data in cognitive neuroscience: from growing pains to genuine insights

    Adam E. Green;Marcus R. Munafò;Colin G. DeYoung;John A. Fossella

Frequent Co-Authors

Xun Liu
Xun Liu Chinese Academy of Sciences
Xiaosi Gu
Xiaosi Gu Icahn School of Medicine at Mount Sinai
Jeffrey M. Halperin
Jeffrey M. Halperin Queens College, CUNY
Michael I. Posner
Michael I. Posner University of Oregon
Patrick R. Hof
Patrick R. Hof Icahn School of Medicine at Mount Sinai
Antonia S. New
Antonia S. New Icahn School of Medicine at Mount Sinai
Nicholas T. Van Dam
Nicholas T. Van Dam University of Melbourne
Larry J. Siever
Larry J. Siever Icahn School of Medicine at Mount Sinai
Evdokia Anagnostou
Evdokia Anagnostou Holland Bloorview Kids Rehabilitation Hospital
Latha Soorya
Latha Soorya Rush University Medical Center

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