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:

Generalizability of machine learning for classification of schizophrenia based on resting‐state functional MRI data
Xin‐lu Cai, Dongjie Xie, Kristoffer H. Madsen, et al.
Human Brain Mapping (2019) Vol. 41, Iss. 1, pp. 172-184
Open Access | Times Cited: 57

Showing 1-25 of 57 citing articles:

An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future works
Delaram Sadeghi, Afshin Shoeibi, Navid Ghassemi, et al.
Computers in Biology and Medicine (2022) Vol. 146, pp. 105554-105554
Open Access | Times Cited: 127
Schizophrenia classification using machine learning on resting state EEG signal
Juan Ruiz de Miras, Antonio J. Ibáñez‐Molina, María Felipa Soriano, et al.
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104233-104233
Open Access | Times Cited: 69
Automatic diagnosis of schizophrenia and attention deficit hyperactivity disorder in rs-fMRI modality using convolutional autoencoder model and interval type-2 fuzzy regression
Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, et al.
Cognitive Neurodynamics (2022) Vol. 17, Iss. 6, pp. 1501-1523
Open Access | Times Cited: 58
A practical Alzheimer’s disease classifier via brain imaging-based deep learning on 85,721 samples
Bin Lu, Huixian Li, Zhikai Chang, et al.
Journal Of Big Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 50
Machine Learning Empowering Personalized Medicine: A Comprehensive Review of Medical Image Analysis Methods
Irena Galić, Marija Habijan, Hrvoje Leventić, et al.
Electronics (2023) Vol. 12, Iss. 21, pp. 4411-4411
Open Access | Times Cited: 31
Should artificial intelligence be used in conjunction with Neuroimaging in the diagnosis of Alzheimer’s disease?
Sophia Mirkin, Benedict C. Albensi
Frontiers in Aging Neuroscience (2023) Vol. 15
Open Access | Times Cited: 26
Towards artificial intelligence in mental health: a comprehensive survey on the detection of schizophrenia
Ashima Tyagi, Vibhav Prakash Singh, Manoj Madhava Gore
Multimedia Tools and Applications (2022) Vol. 82, Iss. 13, pp. 20343-20405
Closed Access | Times Cited: 28
Sampling inequalities affect generalization of neuroimaging-based diagnostic classifiers in psychiatry
Zhiyi Chen, Bowen Hu, Xuerong Liu, et al.
BMC Medicine (2023) Vol. 21, Iss. 1
Open Access | Times Cited: 17
Machine learning for classification and prediction of brain diseases: recent advances and upcoming challenges
Ninon Burgos, Olivier Colliot
Current Opinion in Neurology (2020) Vol. 33, Iss. 4, pp. 439-450
Open Access | Times Cited: 42
Classification of schizophrenia patients using a graph convolutional network: A combined functional MRI and connectomics analysis
Xiaoyi Chen, Jing Zhou, Pengfei Ke, et al.
Biomedical Signal Processing and Control (2022) Vol. 80, pp. 104293-104293
Closed Access | Times Cited: 22
Deep multimodal representations and classification of first-episode psychosis via live face processing
Rahul Singh, Yanlei Zhang, Dhananjay Bhaskar, et al.
Frontiers in Psychiatry (2025) Vol. 16
Open Access
Transfer Learning in Magnetic Resonance Brain Imaging: A Systematic Review
Juan Miguel Valverde, Vandad Imani, Ali Abdollahzadeh, et al.
Journal of Imaging (2021) Vol. 7, Iss. 4, pp. 66-66
Open Access | Times Cited: 31
A multimodal vision transformer for interpretable fusion of functional and structural neuroimaging data
Yuda Bi, Anees Abrol, Zening Fu, et al.
Human Brain Mapping (2024) Vol. 45, Iss. 17
Open Access | Times Cited: 4
Classification of schizophrenia spectrum disorder using machine learning and functional connectivity: reconsidering the clinical application
Chao Li, Ji Chen, Mengshi Dong, et al.
BMC Psychiatry (2025) Vol. 25, Iss. 1
Open Access
Neuroimaging-based classification of PTSD using data-driven computational approaches: A multisite big data study from the ENIGMA-PGC PTSD consortium
Xi Zhu, Yoojean Kim, Orren Ravid, et al.
NeuroImage (2023) Vol. 283, pp. 120412-120412
Open Access | Times Cited: 9
More reliable biomarkers and more accurate prediction for mental disorders using a label-noise filtering-based dimensional prediction method
Ying Xing, Theo G.M. van Erp, Godfrey D. Pearlson, et al.
iScience (2024) Vol. 27, Iss. 3, pp. 109319-109319
Open Access | Times Cited: 3
Magnetic resonance imaging–based machine learning classification of schizophrenia spectrum disorders: a meta‐analysis
Fabio Di Camillo, David Antonio Grimaldi, Giulia Cattarinussi, et al.
Psychiatry and Clinical Neurosciences (2024)
Open Access | Times Cited: 3
ISOMAP and machine learning algorithms for the construction of embedded functional connectivity networks of anatomically separated brain regions from resting state fMRI data of patients with Schizophrenia
Ioannis Gallos, Kostakis Gkiatis, George K. Matsopoulos, et al.
AIMS neuroscience (2021) Vol. 8, Iss. 2, pp. 295-321
Open Access | Times Cited: 20
Sparse deep neural networks on imaging genetics for schizophrenia case–control classification
Jiayu Chen, Xiang Li, Vince D. Calhoun, et al.
Human Brain Mapping (2021) Vol. 42, Iss. 8, pp. 2556-2568
Open Access | Times Cited: 20
Accelerated functional brain aging in major depressive disorder: evidence from a large scale fMRI analysis of Chinese participants
Yunsong Luo, Wen-Yu Chen, Jiang Qiu, et al.
Translational Psychiatry (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 15
A Novel Neighborhood Rough Set-Based Feature Selection Method and Its Application to Biomarker Identification of Schizophrenia
Ying Xing, Peter Kochunov, Theo G.M. van Erp, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 27, Iss. 1, pp. 215-226
Open Access | Times Cited: 15
Machine Learning and Non-Affective Psychosis: Identification, Differential Diagnosis, and Treatment
Maria Ferrara, Giorgia Franchini, Melissa Funaro, et al.
Current Psychiatry Reports (2022) Vol. 24, Iss. 12, pp. 925-936
Open Access | Times Cited: 15
Pre- and post-task resting-state differs in clinical populations
Cindy Sumaly Lor, Mengfan Zhang, Alexander Karner, et al.
NeuroImage Clinical (2023) Vol. 37, pp. 103345-103345
Open Access | Times Cited: 7
Discriminative Analysis of Schizophrenia Patients Using Topological Properties of Structural and Functional Brain Networks: A Multimodal Magnetic Resonance Imaging Study
Jing Wang, Pengfei Ke, Jinyu Zang, et al.
Frontiers in Neuroscience (2022) Vol. 15
Open Access | Times Cited: 11
Page 1 - Next Page

Scroll to top