Woo‐Young Ahn - Concepedia

Author

Woo‐Young Ahn

Seoul National University ORCID

Also Known As

Ahn, Woo-Young, W.-Y. Ahn, W.Y. Ahn, Woo-Young Ahn, Wooyoung Ahn, Woo‐Young Ahn

123

Publications

3.6K

Citations

H-Index

131

Concepts

All Affiliations

Seoul National University The Ohio State University Indiana University Bloomington Virginia Commonwealth University Virginia Tech

About

Woo‐Young Ahn is an author at Seoul National University specializing in social sciences, psychology, and behavioral sciences.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Management	7	7	597
2	Engineering	6	6	384
3	Health Sciences	3	3	237
4	Education	1	1	129
5	Language Studies	1	1	17

Woo‐Young Ahn

Publications

2.9K

Citations

H-Index

Page 1

	Year	Citations
Revealing Neurocomputational Mechanisms of Reinforcement Learning and Decision-Making With the hBayesDM Package Woo‐Young Ahn, Nathaniel Haines, Lei Zhang Computational Psychiatry	2017	377
Comparison of Decision Learning Models Using the Generalization Criterion Method Woo‐Young Ahn, Jerome R. Busemeyer, Eric‐Jan Wagenmakers, Cognitive Science EngineeringMachine LearningBehavioral Decision MakingGeneralizability TheoryBehavior Prediction	2008	246
Decision-making in stimulant and opiate addicts in protracted abstinence: evidence from computational modeling with pure users Woo‐Young Ahn, Georgi Vasilev, Sung‐Ha Lee, Frontiers in Psychology Substance Dependent IndividualsPure UsersSubstance UseOpiate AddictsBehavioral Addiction	2014	188
Altered learning under uncertainty in unmedicated mood and anxiety disorders Jessica Aylward, Vincent Valton, Woo‐Young Ahn, Nature Human Behaviour Cognitive SciencePsychiatryLearning TheoryAffective NeurosciencePsychology	2019	182
A model-based fMRI analysis with hierarchical Bayesian parameter estimation. Woo‐Young Ahn, Adam Krawitz, Woojae Kim, Journal of Neuroscience Psychology and Economics Bayesian StatisticNeuropsychologyBrain MappingSocial SciencesBayesian Inference	2011	178
Cognitive mechanisms underlying risky decision-making in chronic cannabis users Daniel J. Fridberg, Sarah Queller, Woo‐Young Ahn, Journal of Mathematical Psychology Cannabis UseSubstance AbuseSubstance UseBehavioral Decision MakingBehavioral Addiction	2009	174
Machine-learning identifies substance-specific behavioral markers for opiate and stimulant dependence Woo‐Young Ahn, Jasmin Vassileva Drug and Alcohol Dependence Substance AbuseBehavioral SciencesSubstance UsePsychiatryBehavioral Neuroscience	2016	131
Theoretically Informed Generative Models Can Advance the Psychological and Brain Sciences: Lessons from the Reliability Paradox Nathaniel Haines, Peter D. Kvam, Louis Horowitz Irving, Brain SciencesGeneralizability TheoryAffective NeuroscienceIndividual DifferencesBehavioral Measurement	2020	129
Nonpolitical Images Evoke Neural Predictors of Political Ideology Woo‐Young Ahn, Kenneth T. Kishida, Xiaosi Gu, Current Biology	2014	125
Utility of Machine-Learning Approaches to Identify Behavioral Markers for Substance Use Disorders: Impulsivity Dimensions as Predictors of Current Cocaine Dependence Woo‐Young Ahn, Divya Ramesh, F. Gerard Moeller, Frontiers in Psychiatry	2016	93

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