X. Shen
Cognitive Neuroscience · NeuroImage · 2005–2019
A researcher in the Science corpus: 8 papers; trusts 22 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 167 citations into it; #3,642 of 10,852 by trust here, #1,972 by citations
- Radiology, Nuclear Medicine and Imaging — 91 citations into it
- Statistics and Probability — 28 citations into it; #10,627 of 12,932 by trust here, #12,077 by citations
- Artificial Intelligence — 11 citations into it
- Computer Vision and Pattern Recognition — 6 citations into it
Whom X. Shen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Stephen M. Smith
- E. Bullmore
- Olaf Sporns
- Ron Kohavi
- Mikail Rubinov
- Martijn P. van den Heuvel
- Steven L. Bressler
- Stella X. Yu
- Emily S. Finn
- R. Craddock
Who trusts X. Shen overall
- S. Noble
- Dustin Scheinost
- Salim Arslan
- Alaa Bessadok
- Emily S. Finn
- Maxwell A. Bertolero
- Marisa N. Spann
- Roger E. Beaty
- Alexander Schaefer
- Xiaoxiao Li
Papers from X. Shen's perspective
Ordered by how strongly the researchers X. Shen trusts endorse each paper. Same corpus, a different order for every researcher.
- Complex brain networks: graph theoretical analysis of structural and functional systems
- Consistent resting-state networks across healthy subjects (Proceedings of the National Academy of Sciences of the United States of America)
- Cortical Hubs Revealed by Intrinsic Functional Connectivity: Mapping, Assessment of Stability, and Relation to Alzheimer’s Disease
- Neurophysiological architecture of functional magnetic resonance images of human brain. (Cerebral Cortex)
- The resting brain: unconstrained yet reliable. (Cerebral Cortex)
- fMRI resting state networks define distinct modes of long-distance interactions in the human brain (NeuroImage)
- 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)
- Complex network measures of brain connectivity: Uses and interpretations
- Does the brain have a baseline? Why we should be resisting a rest (NeuroImage)
- Mapping the Structural Core of Human Cerebral Cortex (PLoS Biology)
Their papers
- Ten simple rules for predictive modeling of individual differences in neuroimaging (2019) — 346 citations
- Using connectome-based predictive modeling to predict individual behavior from brain connectivity (2017) — 1,021 citations
- Can brain state be manipulated to emphasize individual differences in functional connectivity? (2017) — 351 citations
- Influences on the Test–Retest Reliability of Functional Connectivity MRI and its Relationship with Behavioral Utility (2017) — 372 citations
- A neuromarker of sustained attention from whole-brain functional connectivity (2015) — 992 citations
- Functional connectome fingerprinting: Identifying individuals based on patterns of brain connectivity (2015) — 2,614 citations
- Groupwise whole-brain parcellation from resting-state fMRI data for network node identification (2013) — 1,018 citations
- A skewed Kalman filter (2005) — 52 citations