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OpenAlex Citation Counts

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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:

Predicting the future of neuroimaging predictive models in mental health
Link Tejavibulya, Max Rolison, Siyuan Gao, et al.
Molecular Psychiatry (2022) Vol. 27, Iss. 8, pp. 3129-3137
Open Access | Times Cited: 38

Showing 26-50 of 38 citing articles:

The effects of data leakage on connectome-based machine learning models
Matthew Rosenblatt, Link Tejavibulya, Rongtao Jiang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Abnormal amplitude of low-frequency fluctuations associated with sleep efficiency in major depressive disorder
Yifei Li, Wenming Zhao, Xinyu Li, et al.
Journal of Psychiatric Research (2024) Vol. 173, pp. 41-47
Open Access
Adaptive-to-maladaptive gradient of emotion regulation tendencies are embedded in the functional–structural hybrid connectome
Wonyoung Kim, M. Justin Kim
Psychological Medicine (2024), pp. 1-13
Closed Access
Generalizability of Clinical Prediction Models in Mental Health - Real-World Validation of Machine Learning Models for Depressive Symptom Prediction
Maike Richter, Daniel Emden, Ramona Leenings, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Improving Predictability, Test-Retest Reliability and Generalisability of Brain-Wide Associations for Cognitive Abilities via Multimodal Stacking
Alina Tetereva, Annchen R. Knodt, Tracy R. Melzer, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Connectome-based predictive modeling of early and chronic psychosis symptoms
Maya L. Foster, Jean Ye, Albert R. Powers, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Local-structure-preservation and redundancy-removal-based feature selection method and its application to the identification of biomarkers for schizophrenia
Ying Xing, Godfrey D. Pearlson, Peter Kochunov, et al.
NeuroImage (2024) Vol. 299, pp. 120839-120839
Open Access
Optimizing Mental Health Status Prediction Models Using Machine Learning Algorithms
Dong Liu
(2024), pp. 504-509
Closed Access
Advancing brain health: harnessing the centilebrain model for enhanced diagnosis of mental health disorders
Muili Abdulbasit, Abdulrahman Awal Olalekan, Piel Panther Kuol, et al.
Annals of Medicine and Surgery (2024) Vol. 86, Iss. 9, pp. 4944-4946
Open Access
Threats to external validity in the neuroprediction of substance use treatment outcomes
Naomi N Gancz, Sarah Förster
The American Journal of Drug and Alcohol Abuse (2022) Vol. 49, Iss. 1, pp. 5-20
Closed Access | Times Cited: 1
Rescuing missing data in connectome-based predictive modeling
Qinghao Liang, Rongtao Jiang, Brendan Adkinson, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Variability in neural representations of fear: insights from computational modeling
Yiyu Wang
(2023)
Open Access
Broadening the Use of Machine Learning in Psychiatry
Brendan Adkinson, Adam M. Chekroud
Biological Psychiatry (2022) Vol. 93, Iss. 1, pp. 4-5
Closed Access
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