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Fengdan Ye
Observed name:
Ye, Fengdan
Observed institutions:
Houston Methodist,
Yale University,
Center for Theoretical Biological Physics,
Weill Cornell Medicine,
Rice University
ORCID:
0000-0002-3896-4003
Observed ORCID:
0000-0002-3896-4003
OpenAlex ID:
A5072067775
Machine-learning approach to the design of OSDAs for zeolite beta
2019
·
Frits Daeyaert
, Fengdan Ye
, et al.
·
Proceedings of the National Academy of Sciences
·
78
Brain Modularity Mediates the Relation between Task Complexity and Performance
2017
·
Qiuhai Yue
, Randi C. Martin
, et al.
·
Journal of Cognitive Neuroscience
·
68
PDF
Static and Dynamic Measures of Human Brain Connectivity Predict Complementary Aspects of Human Cognitive Performance
2017
·
Aurora I. Ramos-Nuñez
, Simon Fischer-Baum
, et al.
·
Frontiers in Human Neuroscience
·
24
PDF
A multidimensional approach to understanding the emergence of sex differences in internalizing symptoms in adolescence
2022
·
Bianca Serio
, Robert Kohler
, et al.
·
Developmental Cognitive Neuroscience
·
20
In Alzheimer-prone brain regions, metabolism and risk-gene expression are strongly correlated
2022
·
Fengdan Ye
, Quentin Funk
, et al.
·
Brain Communications
·
18
PDF
Distinct neural networks predict cocaine versus cannabis treatment outcomes
2023
·
Sarah D. Lichenstein
, Robert Kohler
, et al.
·
Molecular Psychiatry
·
13
PDF
Modularity of the metabolic gene network as a prognostic biomarker for hepatocellular carcinoma
2018
·
Fengdan Ye
, Dongya Jia
, et al.
·
Oncotarget
·
5
PDF
Brain Modularity Mediates the Relation between Task Complexity and Performance
2017
·
Qiuhai Yue
, Randi Martin
, et al.
·
bioRxiv (Cold Spring Harbor Laboratory)
·
4
PDF
Task-based co-activation patterns reliably predict resting state canonical network engagement during development
2022
·
Fengdan Ye
, Robert Kohler
, et al.
·
Developmental Cognitive Neuroscience
·
3
PDF
Neuromarkers of Risky Alcohol Use From Age 14 to 19 Years
2022
·
Sarah Yip
, Fengdan Ye
, et al.
·
Biological Psychiatry
·
1
Task-Based Co-Activation Patterns Reliably Predict Resting State Canonical Network Engagement During Development
2022
·
Fengdan Ye
, Robert Kohler
, et al.
·
Biological Psychiatry
·
1
P410. Discounting Rates and Reward in the ABCD Cohort: Relationship to Social, Familial and Clinical Factors
2022
·
Robert Kohler
, Sarah Lichenstein
, et al.
·
Biological Psychiatry
Task-Based Co-Activation Patterns Reliably Predict Resting State Canonical Network Engagement During Development
2022
·
Fengdan Ye
, Robert Kohler
, et al.
·
SSRN Electronic Journal
Techniques Toward Optimizing Viewability in RTB Ad Campaigns Using Reinforcement Learning
2021
·
Tashman, Michael
, Hoffman, John
, et al.
·
arXiv (Cornell University)
PDF
The Modular Network Structure of Complex Biological Systems: Cancer, Cognition and Genes
2020
·
Ye, Fengdan
·
Rice Research Repository (Rice University)
Modularity as an order parameter for speech reception
2019
·
Fengdan Ye
, Colin Noe
, et al.
·
APS
Corrigendum: Static and Dynamic Measures of Human Brain Connectivity Predict Complementary Aspects of Human Cognitive Performance
2018
·
Aurora I. Ramos-Nuñez
, Simon Fischer-Baum
, et al.
·
Frontiers in Human Neuroscience
PDF
Brain Modularity Mediates the Relation between Task Complexity and Performance
2017
·
Fengdan Ye
, Qiuhai Yue
, et al.
·
Bulletin of the American Physical Society
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Works count:
18
Citation count:
235
H-index:
6
I10-index:
6
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