Lubin Wang
Cognitive Neuroscience · 2010–2012
A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 46 citations into it; #10,323 of 10,852 by trust here, #5,844 by citations
- Radiology, Nuclear Medicine and Imaging — 18 citations into it; #3,066 of 3,265 by trust here, #1,861 by citations
- Computer Vision and Pattern Recognition — 5 citations into it
Whom Lubin Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sam T. Roweis
- Lawrence K. Saul
- Michael D. Greicius
- John-Dylan Haynes
- Elizaveta Levina
- Nathalie Tzourio-Mazoyer
- Sophie Achard
- Radford M. Neal
- Yong Fan
Who trusts Lubin Wang overall
Papers from Lubin Wang's perspective
Ordered by how strongly the researchers Lubin Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- Consistent resting-state networks across healthy subjects (Proceedings of the National Academy of Sciences of the United States of America)
- 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)
- Default-mode network activity distinguishes Alzheimer's disease from healthy aging: Evidence from functional MRI (Proc. Natl. Acad. Sci. USA)
- Nonlinear dimensionality reduction by locally linear embedding.
- Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain (NeuroImage)
- Resting-state functional connectivity in major depression: abnormally increased contributions from subgenual cingulate cortex and thalamus. (Biological Psychiatry)
- Prediction of Individual Brain Maturity Using fMRI (Science)
- The global signal and observed anticorrelated resting state brain networks. (Journal of Neurophysiology)
- A Resilient, Low-Frequency, Small-World Human Brain Functional Network with Highly Connected Association Cortical Hubs (Journal of Neuroscience)
- Investigations into resting-state connectivity using independent component analysis (Philosophical Transactions of the Royal Society B: Biological Sciences)