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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:

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

Showing 1-25 of 43 citing articles:

Advances in Neuroimaging and Deep Learning for Emotion Detection: A Systematic Review of Cognitive Neuroscience and Algorithmic Innovations
Constantinos Halkiopoulos, Evgenia Gkintoni, Anthimos Aroutzidis, et al.
Diagnostics (2025) Vol. 15, Iss. 4, pp. 456-456
Open Access | Times Cited: 4
Biological subtyping of psychiatric syndromes as a pathway for advances in drug discovery and personalized medicine
Wenjing Zhang, John A. Sweeney, Jeffrey R. Bishop, et al.
Nature Mental Health (2023) Vol. 1, Iss. 2, pp. 88-99
Closed Access | Times Cited: 29
Thermodynamics of Learning Physical Phenomena
Elías Cueto, Francisco Chinesta
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 8, pp. 4653-4666
Open Access | Times Cited: 22
The impact of psychosocial adversity on brain and behaviour: an overview of existing knowledge and directions for future research
Nilakshi Vaidya, André F. Marquand, Frauke Nees, et al.
Molecular Psychiatry (2024) Vol. 29, Iss. 10, pp. 3245-3267
Open Access | Times Cited: 10
From Serendipity to Precision: Integrating AI, Multi-Omics, and Human-Specific Models for Personalized Neuropsychiatric Care
Masaru Tanaka
Biomedicines (2025) Vol. 13, Iss. 1, pp. 167-167
Open Access | Times Cited: 1
Can artificial intelligence be the future solution to the enormous challenges and suffering caused by Schizophrenia?
Shijie Jiang, Qiyu Jia, Zhenlei Peng, et al.
Schizophrenia (2025) Vol. 11, Iss. 1
Open Access | Times Cited: 1
Detecting individuals with severe mental illness using artificial intelligence applied to magnetic resonance imaging
Wenjing Zhang, Chengmin Yang, Zehong Cao, et al.
EBioMedicine (2023) Vol. 90, pp. 104541-104541
Open Access | Times Cited: 18
Addressing Global Environmental Challenges to Mental Health Using Population Neuroscience
Günter Schumann, Ole A. Andreassen, Tobias Banaschewski, et al.
JAMA Psychiatry (2023) Vol. 80, Iss. 10, pp. 1066-1066
Open Access | Times Cited: 18
Brain-based classification of youth with anxiety disorders: transdiagnostic examinations within the ENIGMA-Anxiety database using machine learning
Willem B. Bruin, Paul Zhutovsky, Guido van Wingen, et al.
Nature Mental Health (2024) Vol. 2, Iss. 1, pp. 104-118
Closed Access | Times Cited: 6
Forecasting care seekers satisfaction with telemedicine using machine learning and structural equation modeling
Khondker Mohammad Zobair, Louis Sanzogni, Luke Houghton, et al.
PLoS ONE (2021) Vol. 16, Iss. 9, pp. e0257300-e0257300
Open Access | Times Cited: 31
A meta-analysis and systematic review of single vs. multimodal neuroimaging techniques in the classification of psychosis
Alexis Porter, Sihan Fei, Katherine S. F. Damme, et al.
Molecular Psychiatry (2023) Vol. 28, Iss. 8, pp. 3278-3292
Open Access | Times Cited: 11
Exploring the potential of representation and transfer learning for anatomical neuroimaging: Application to psychiatry
Benoît Dufumier, Pietro Gori, Sara Petiton, et al.
NeuroImage (2024) Vol. 296, pp. 120665-120665
Open Access | Times Cited: 4
Contrastive self-supervised learning for neurodegenerative disorder classification
Vadym Gryshchuk, Devesh Singh, Stefan Teipel, et al.
Frontiers in Neuroinformatics (2025) Vol. 19
Open Access
Performance reserves in brain-imaging-based phenotype prediction
Marc‐Andre Schulz, Danilo Bzdok, Stefan Haufe, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 16
Interpreting Brain Biomarkers: Challenges and solutions in interpreting machine learning-based predictive neuroimaging
Rongtao Jiang, Choong‐Wan Woo, Shile Qi, et al.
IEEE Signal Processing Magazine (2022) Vol. 39, Iss. 4, pp. 107-118
Open Access | Times Cited: 16
The Potential of Machine Learning Methods in Psychological Assessment and Test Construction
Steven Bißantz, Susanne Frick, Filip Melinščak, et al.
European Journal of Psychological Assessment (2024) Vol. 40, Iss. 1, pp. 1-4
Closed Access | Times Cited: 3
Neuroimage Analysis Methods and Artificial Intelligence Techniques for Reliable Biomarkers and Accurate Diagnosis of Schizophrenia: Achievements Made by Chinese Scholars Around the Past Decade
Yuhui Du, Niu Ju, Ying Xing, et al.
Schizophrenia Bulletin (2024)
Closed Access | Times Cited: 3
Applications of Machine Learning Technologies for Feedstock Yield Estimation of Ethanol Production
Hyeongjun Lim, Sojung Kim
Energies (2024) Vol. 17, Iss. 20, pp. 5191-5191
Open Access | Times Cited: 3
Interpreting models interpreting brain dynamics
Md Mahfuzur Rahman, Usman Mahmood, Noah Lewis, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 15
Structural and Functional MRI Data Differentially Predict Chronological Age and Behavioral Memory Performance
Joram Soch, Anni Richter, Jasmin M. Kizilirmak, et al.
eNeuro (2022) Vol. 9, Iss. 6, pp. ENEURO.0212-22.2022
Open Access | Times Cited: 14
Stable multivariate lesion symptom mapping
Alex Teghipco, Roger Newman‐Norlund, Makayla Gibson, et al.
Aperture Neuro (2024) Vol. 4
Open Access | Times Cited: 2
Artificial Intelligence in Psychological Diagnosis and Intervention
Lipsary Águila Ramírez
LatIA (2024) Vol. 1, pp. 26-26
Closed Access | Times Cited: 2
A review on multiple sclerosis prognostic findings from imaging, inflammation, and mental health studies
Jelena Brasanac, Claudia Chien
Frontiers in Human Neuroscience (2023) Vol. 17
Open Access | Times Cited: 4
Applications of MRI in Schizophrenia: Current Progress in Establishing Clinical Utility
Hui Sun, Naici Liu, Changjian Qiu, et al.
Journal of Magnetic Resonance Imaging (2024)
Closed Access | Times Cited: 1
Computational psychiatry and the evolving concept of a mental disorder
Konstantin Genin, Thomas Grote, Thomas Wolfers
Synthese (2024) Vol. 204, Iss. 3
Open Access | Times Cited: 1
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