Hui Shen

Cognitive Neuroscience · with Hu · 2010–2018

A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Hui Shen trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Sam T. Roweis
  2. Lawrence K. Saul
  3. Michael D. Greicius
  4. John-Dylan Haynes
  5. Elizaveta Levina
  6. Nathalie Tzourio-Mazoyer
  7. Sophie Achard
  8. Radford M. Neal
  9. Yong Fan
  10. Michael D. Fox

Who trusts Hui Shen overall

  1. L. Zeng
  2. John D. Medaglia
  3. Megan H Lee
  4. Junghoe Kim
  5. Barnaly Rashid
  6. Vince D. Calhoun
  7. Mary-Ellen Lynall
  8. Christopher D. Smyser
  9. Mohammad R. Arbabshirani

Papers from Hui Shen's perspective

Ordered by how strongly the researchers Hui Shen trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Consistent resting-state networks across healthy subjects (Proceedings of the National Academy of Sciences of the United States of America)
  2. Functional connectivity in the resting brain: A network analysis of the default mode hypothesis (Proceedings of the National Academy of Sciences of the United States of America)
  3. Default-mode network activity distinguishes Alzheimer's disease from healthy aging: Evidence from functional MRI (Proc. Natl. Acad. Sci. USA)
  4. Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain (NeuroImage)
  5. Nonlinear dimensionality reduction by locally linear embedding.
  6. Resting-state functional connectivity in major depression: abnormally increased contributions from subgenual cingulate cortex and thalamus. (Biological Psychiatry)
  7. Prediction of Individual Brain Maturity Using fMRI (Science)
  8. The global signal and observed anticorrelated resting state brain networks. (Journal of Neurophysiology)
  9. A Resilient, Low-Frequency, Small-World Human Brain Functional Network with Highly Connected Association Cortical Hubs (Journal of Neuroscience)
  10. Investigations into resting-state connectivity using independent component analysis (Philosophical Transactions of the Royal Society B: Biological Sciences)

Their papers