Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Decoding diagnosis and lifetime consumption in alcohol dependence from grey‐matter pattern information
Matthias Guggenmos, Michael Scheel, Maria Sekutowicz, et al.
Acta Psychiatrica Scandinavica (2018) Vol. 137, Iss. 3, pp. 252-262
Closed Access | Times Cited: 19

Showing 19 citing articles:

Towards a brain‐based predictome of mental illness
Barnaly Rashid, Vince D. Calhoun
Human Brain Mapping (2020) Vol. 41, Iss. 12, pp. 3468-3535
Open Access | Times Cited: 149
Artificial intelligence and machine learning in emergency medicine
Jonathon Stewart, Peter Sprivulis, Girish Dwivedi
Emergency Medicine Australasia (2018) Vol. 30, Iss. 6, pp. 870-874
Open Access | Times Cited: 136
Promises and pitfalls of deep neural networks in neuroimaging-based psychiatric research
Fabian Eitel, Marc‐Andre Schulz, Moritz Seiler, et al.
Experimental Neurology (2021) Vol. 339, pp. 113608-113608
Open Access | Times Cited: 43
A multimodal neuroimaging classifier for alcohol dependence
Matthias Guggenmos, Katharina Schmack, Ilya M. Veer, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 28
Novel Machine Learning Identifies Brain Patterns Distinguishing Diagnostic Membership of Human Immunodeficiency Virus, Alcoholism, and Their Comorbidity of Individuals
Ehsan Adeli, Natalie M. Zahr, Adolf Pfefferbaum, et al.
Biological Psychiatry Cognitive Neuroscience and Neuroimaging (2019) Vol. 4, Iss. 6, pp. 589-599
Open Access | Times Cited: 20
Cue‐induced effects on decision‐making distinguish subjects with gambling disorder from healthy controls
Alexander Genauck, Milan Andrejević, Katharina Brehm, et al.
Addiction Biology (2019) Vol. 25, Iss. 6
Open Access | Times Cited: 20
Predicting alcohol dependence from multi‐site brain structural measures
Sage Hahn, Scott Mackey, Janna Cousijn, et al.
Human Brain Mapping (2020) Vol. 43, Iss. 1, pp. 555-565
Open Access | Times Cited: 15
Volumetric Prefrontal Cortex Alterations in Patients With Alcohol Dependence and the Involvement of Self‐Control
Annika Rosenthal, Anne Beck, Evangelos Zois, et al.
Alcoholism Clinical and Experimental Research (2019) Vol. 43, Iss. 12, pp. 2514-2524
Open Access | Times Cited: 14
Alcohol and brain structure across the lifespan: A systematic review of large‐scale neuroimaging studies
Hollis C. Karoly, Katelyn T. Kirk‐Provencher, Joseph P. Schacht, et al.
Addiction Biology (2024) Vol. 29, Iss. 9
Open Access | Times Cited: 1
Neural correlates of cue‐induced changes in decision‐making distinguish subjects with gambling disorder from healthy controls
Alexander Genauck, Caroline Matthis, Milan Andrejević, et al.
Addiction Biology (2020) Vol. 26, Iss. 3
Open Access | Times Cited: 8
Neural correlates of cue-induced changes in decision-making distinguish subjects with gambling disorder from healthy controls
Alexander Genauck, Caroline Matthis, Milan Andrejević, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2018)
Open Access | Times Cited: 6
Machine Learning Applications and Advancements in Alcohol Use Disorder: A Systematic Review
Myrna Hurtado, Anna Siefkas, Misty M. Attwood, et al.
medRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 4
Machine learning approaches for parsing comorbidity/heterogeneity in antisociality and substance use disorders: A primer
Matthew S. Shane, William James Denomme
Personality Neuroscience (2021) Vol. 4
Open Access | Times Cited: 3
AIM in Alcohol and Drug Dependence
Roshan Prakash Rane, Andreas Heinz, Kerstin Ritter
Artificial Intelligence in Medicine (2022), pp. 1619-1628
Closed Access | Times Cited: 2
Cue-induced effects on decision-making distinguish subjects with gambling disorder from healthy controls
Alexander Genauck, Milan Andrejević, Katharina Brehm, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2019)
Open Access | Times Cited: 2
Predicting Alcohol Dependence from Multi-Site Brain Structural Measures
Sage Hahn, Scott Mackey, Janna Cousijn, et al.
medRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 2
Predicting future drinking among young adults: using ensemble machine-learning to combine MRI with psychometrics and behaviour
Martine Groefsema, Maartje Luijten, Rutger C. M. E. Engels, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 1
Individual prediction and classification of cognitive impairment in patients with white matter lesions based on gray matter volume
Jinfang Wang, Cui Zhao, Jing Wei, et al.
Annals of Translational Medicine (2022) Vol. 10, Iss. 5, pp. 246-246
Open Access | Times Cited: 1
Évaluation d’un patient alcoolodépendant : l’intelligence artificielle peut-elle avoir un intérêt ?
Alain Dervaux
La Presse Médicale (2018) Vol. 47, Iss. 7-8, pp. 640-642
Closed Access
Page 1

Scroll to top