Lingzhong Fan

Cognitive Neuroscience · 2013–2016

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lingzhong Fan trusts overall

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

  1. Heidi Johansen-Berg
  2. Timothy Edward John Behrens
  3. M. Beckmann
  4. Michael Petrides
  5. Richard E. Passingham
  6. Mark Jenkinson
  7. Stephen M. Smith
  8. Luke J. Chang
  9. Matthew F. S. Rushworth
  10. Clare Kelly

Who trusts Lingzhong Fan overall

  1. Zaixu Cui
  2. Jie Lisa Ji

Papers from Lingzhong Fan's perspective

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

  1. Predicting human resting-state functional connectivity from structural connectivity (Proceedings of the National Academy of Sciences of the United States of America)
  2. Non-invasive mapping of connections between human thalamus and cortex using diffusion imaging (Nature Neuroscience)
  3. Probabilistic diffusion tractography with multiple fibre orientations: What can we gain? (NeuroImage)
  4. Changes in connectivity profiles define functionally distinct regions in human medial frontal cortex. (Proceedings of the National Academy of Sciences of the United States of America)
  5. Precuneus shares intrinsic functional architecture in humans and monkeys (Proceedings of the National Academy of Sciences of the United States of America)
  6. The Brain's Default Network (Annals of the New York Academy of Sciences)
  7. The anatomical basis of functional localization in the cortex (Nature Reviews Neuroscience)
  8. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest (NeuroImage)
  9. Evidence for a frontoparietal control system revealed by intrinsic functional connectivity. (Journal of Neurophysiology)
  10. Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images (NeuroImage)

Their papers