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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:

A systematic review of EEG based automated schizophrenia classification through machine learning and deep learning
Jagdeep Rahul, Diksha Sharma, Lakhan Dev Sharma, et al.
Frontiers in Human Neuroscience (2024) Vol. 18
Open Access | Times Cited: 10

Showing 10 citing articles:

Decoding cognition in neurodevelopmental, psychiatric and neurological conditions with multivariate pattern analysis of EEG data
Gianluca Marsicano, Caterina Bertini, Luca Ronconi
Neuroscience & Biobehavioral Reviews (2024) Vol. 164, pp. 105795-105795
Open Access | Times Cited: 5
SchizoLMNet: a modified lightweight MobileNetV2- architecture for automated schizophrenia detection using EEG-derived spectrograms
A. Prabhakara Rao, Rakesh Ranjan, Bikash Chandra Sahana, et al.
Physical and Engineering Sciences in Medicine (2025)
Closed Access
A Machine-Learning-Based Analysis of Resting Electroencephalogram Signals to Identify Latent Schizotypal and Bipolar Development in Healthy University Students
Flórián Gubics, Ádám Nagy, József Dombi, et al.
Diagnostics (2025) Vol. 15, Iss. 4, pp. 454-454
Open Access
A Combined Windowing and Deep Learning Model for the Classification of Brain Disorders Based on Electroencephalogram Signals
Dina M Abooelzahab, Nawal Zaher, Abdel‐Hamid Soliman, et al.
AI (2025) Vol. 6, Iss. 3, pp. 42-42
Open Access
Automated Detection of Neurological and Mental Health Disorders Using EEG Signals and Artificial Intelligence: A Systematic Review
Hakan Uyanık, Abdulkadir Sengur, Massimo Salvi, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2025) Vol. 15, Iss. 1
Open Access
Advances, challenges, and prospects of electroencephalography-based biomarkers for psychiatric disorders: a narrative review
Seokho Yun
Journal of Yeungnam Medical Science (2024) Vol. 41, Iss. 4, pp. 261-268
Open Access | Times Cited: 1
A new EEG-based schizophrenia diagnosis method through a fuzzy DL model
Xiaochen Yang
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 8, Iss. 1
Closed Access | Times Cited: 1
ℛSCZ: A Riemannian schizophrenia diagnosis framework based on the multiplexity of EEG-based dynamic functional connectivity patterns
Stavros I. Dimitriadis
Computers in Biology and Medicine (2024) Vol. 180, pp. 108862-108862
Open Access
Schizophrenia Detection and Classification: A Systematic Review of the Last Decade
Apurba Saha, Seungmin Park, Zong Woo Geem, et al.
Diagnostics (2024) Vol. 14, Iss. 23, pp. 2698-2698
Open Access
On the improvement of schizophrenia detection with optical coherence tomography data using deep neural networks and aggregation functions
Paweł Karczmarek, Małgorzata Plechawska–Wójcik, Adam Kiersztyn, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
ViT-Based Face Diagnosis Images Analysis for Schizophrenia Detection
Huilin Liu, Runmin Cao, Songze Li, et al.
Brain Sciences (2024) Vol. 15, Iss. 1, pp. 30-30
Open Access
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