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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:

Integrating machining learning and multimodal neuroimaging to detect schizophrenia at the level of the individual
Du Lei, Walter Hugo Lopez Pinaya, Jonathan Young, et al.
Human Brain Mapping (2019) Vol. 41, Iss. 5, pp. 1119-1135
Open Access | Times Cited: 82

Showing 1-25 of 82 citing articles:

Harmonization of resting-state functional MRI data across multiple imaging sites via the separation of site differences into sampling bias and measurement bias
Ayumu Yamashita, Noriaki Yahata, Takashi Itahashi, et al.
PLoS Biology (2019) Vol. 17, Iss. 4, pp. e3000042-e3000042
Open Access | Times Cited: 163
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
Evidence for embracing normative modeling
Saige Rutherford, Pieter Barkema, Ivy F. Tso, et al.
eLife (2023) Vol. 12
Open Access | Times Cited: 74
Human brain connectivity: Clinical applications for clinical neurophysiology
Mark Hallett, Willem de Haan, Gustavo Deco, et al.
Clinical Neurophysiology (2020) Vol. 131, Iss. 7, pp. 1621-1651
Closed Access | Times Cited: 102
How Do Machines Learn? Artificial Intelligence as a New Era in Medicine
Oliwia Koteluk, Adrian Wartecki, Sylwia Mazurek, et al.
Journal of Personalized Medicine (2021) Vol. 11, Iss. 1, pp. 32-32
Open Access | Times Cited: 82
Neuroharmony: A new tool for harmonizing volumetric MRI data from unseen scanners
Rafael Garcia‐Dias, Cristina Scarpazza, Lea Baecker, et al.
NeuroImage (2020) Vol. 220, pp. 117127-117127
Open Access | Times Cited: 71
Using graph convolutional network to characterize individuals with major depressive disorder across multiple imaging sites
Kun Qin, Du Lei, Walter Hugo Lopez Pinaya, et al.
EBioMedicine (2022) Vol. 78, pp. 103977-103977
Open Access | Times Cited: 52
Graph Convolutional Networks Reveal Network-Level Functional Dysconnectivity in Schizophrenia
Du Lei, Kun Qin, Walter Hugo Lopez Pinaya, et al.
Schizophrenia Bulletin (2022) Vol. 48, Iss. 4, pp. 881-892
Open Access | Times Cited: 45
Exploring deep residual network based features for automatic schizophrenia detection from EEG
Siuly Siuly, Yanhui Guo, Ömer Faruk Alçin, et al.
Physical and Engineering Sciences in Medicine (2023) Vol. 46, Iss. 2, pp. 561-574
Open Access | Times Cited: 29
Machine learning methods to predict outcomes of pharmacological treatment in psychosis
Lorenzo Del Fabro, Elena Bondi, Francesca Serio, et al.
Translational Psychiatry (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 24
A scoping review of automatic and semi-automatic MRI segmentation in human brain imaging
Minh Chau, Han X. Vu, Tanmoy Debnath, et al.
Radiography (2025) Vol. 31, Iss. 2, pp. 102878-102878
Open Access | Times Cited: 1
Structural and diffusion MRI based schizophrenia classification using 2D pretrained and 3D naive Convolutional Neural Networks
Mengjiao Hu, Xing Qian, Siwei Liu, et al.
Schizophrenia Research (2021) Vol. 243, pp. 330-341
Closed Access | Times Cited: 49
CGP17Pat: Automated Schizophrenia Detection Based on a Cyclic Group of Prime Order Patterns Using EEG Signals
Emrah Aydemir, Şengül Doğan, Mehmet Bayğın, et al.
Healthcare (2022) Vol. 10, Iss. 4, pp. 643-643
Open Access | Times Cited: 30
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
Machine learning techniques for the Schizophrenia diagnosis: a comprehensive review and future research directions
Shradha Verma, Tripti Goel, M. Tanveer, et al.
Journal of Ambient Intelligence and Humanized Computing (2023) Vol. 14, Iss. 5, pp. 4795-4807
Open Access | Times Cited: 21
Evaluation of Risk of Bias in Neuroimaging-Based Artificial Intelligence Models for Psychiatric Diagnosis
Zhiyi Chen, Xuerong Liu, Qingwu Yang, et al.
JAMA Network Open (2023) Vol. 6, Iss. 3, pp. e231671-e231671
Open Access | Times Cited: 17
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
Cerebello-Thalamo-Cortical Hyperconnectivity Classifies Patients and Predicts Long-Term Treatment Outcome in First-Episode Schizophrenia
Hengyi Cao, Wei Xia, Na Hu, et al.
Schizophrenia Bulletin (2021) Vol. 48, Iss. 2, pp. 505-513
Open Access | Times Cited: 35
Extracting interpretable signatures of whole-brain dynamics through systematic comparison
Annie G. Bryant, Kevin Aquino, Linden Parkes, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 5
Distinguishing schizophrenia and bipolar disorder through a Multiclass Classification model based on multimodal neuroimaging data
Ming Chen, Xiaowei Xia, Zhuang Kang, et al.
Journal of Psychiatric Research (2024) Vol. 172, pp. 119-128
Closed Access | Times Cited: 5
The brain-gut microbiota network (BGMN) is correlated with symptom severity and neurocognition in patients with schizophrenia
Runlin Peng, Wei Wang, Liqin Liang, et al.
NeuroImage (2025), pp. 121052-121052
Open Access
Artificial intelligence in insanity evaluation. Potential opportunities and current challenges
Cristina Scarpazza, Andrea Zangrossi
International Journal of Law and Psychiatry (2025) Vol. 100, pp. 102082-102082
Open Access
Large language models and psychiatry
Graziella Orrù, Giulia Melis, Giuseppe Sartori
International Journal of Law and Psychiatry (2025) Vol. 101, pp. 102086-102086
Closed Access
Multi-feature fusion RFE random forest for schizophrenia classification and treatment response prediction
Chang Wang, Rui Zhang, Jiyuan Zhang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
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