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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:

Bayesian Optimization of Machine Learning Classification of Resting-State EEG Microstates in Schizophrenia: A Proof-of-Concept Preliminary Study Based on Secondary Analysis
Ahmadreza Keihani, Seyed Saman Sajadi, Mahsa Hasani, et al.
Brain Sciences (2022) Vol. 12, Iss. 11, pp. 1497-1497
Open Access | Times Cited: 23

Showing 23 citing articles:

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: 12
Wavelet Transform, Reconstructed Phase Space, and Deep Learning Neural Networks for EEG-Based Schizophrenia Detection
Amjed Al Fahoum, Ala’a Zyout
International Journal of Neural Systems (2024) Vol. 34, Iss. 09
Closed Access | Times Cited: 10
Empowering precision medicine: AI-driven schizophrenia diagnosis via EEG signals: A comprehensive review from 2002–2023
Mahboobeh Jafari, Delaram Sadeghi, Afshin Shoeibi, et al.
Applied Intelligence (2023) Vol. 54, Iss. 1, pp. 35-79
Closed Access | Times Cited: 18
Diagnosis of Schizophrenia in EEG Signals Using dDTF Effective Connectivity and New PreTrained CNN and Transformer Models
Afshin Shoeibi, Marjane Khodatars, Hamid Alinejad-Rorky, et al.
Lecture notes in computer science (2024), pp. 150-160
Closed Access | Times Cited: 5
Navigating the Complexity of Psychotic Disorders: A Systematic Review of EEG Microstates and Machine Learning
Federico Pacchioni, Giacomo Germagnoli, Marta Calbi, et al.
BioMedInformatics (2025) Vol. 5, Iss. 1, pp. 8-8
Open Access
Enhancing schizophrenia diagnosis through EEG frequency waves and information-based neural connectivity feature fusion
Ateke Goshvarpour
Biomedical Signal Processing and Control (2025) Vol. 106, pp. 107717-107717
Closed Access
Quantum-inspired feature extraction model from EEG frequency waves for enhanced schizophrenia detection
Ateke Goshvarpour
Chaos Solitons & Fractals (2025) Vol. 196, pp. 116401-116401
Closed Access
1D-convolutional neural network approach and feature extraction methods for automatic detection of schizophrenia
Hanife Göker
Signal Image and Video Processing (2023) Vol. 17, Iss. 5, pp. 2627-2636
Closed Access | Times Cited: 11
EEG-based schizophrenia classification using penalized sequential dictionary learning in the context of mobile healthcare
Usman Haider, Muhammad Hanif, Ahmar Rashid, et al.
Biomedical Signal Processing and Control (2023) Vol. 90, pp. 105856-105856
Closed Access | Times Cited: 8
Abnormalities of electroencephalography microstates in patients with depression and their association with cognitive function
Ruijie Peng, Yu Fan, Jin Li, et al.
World Journal of Psychiatry (2024) Vol. 14, Iss. 1, pp. 128-140
Open Access | Times Cited: 2
Microstate D as a Biomarker in Schizophrenia: Insights from Brain State Transitions
Rong Yao, Meirong Song, Langhua Shi, et al.
Brain Sciences (2024) Vol. 14, Iss. 10, pp. 985-985
Open Access | Times Cited: 2
Development of smart cardiovascular measurement system using feature selection and machine learning models for prediction of sleep deprivation, cold hands and feet, and Shanghuo syndrome
Chun‐Ling Lin, Chin-Kun Tseng, Chien‐Jen Wang, et al.
Measurement (2023) Vol. 221, pp. 113441-113441
Open Access | Times Cited: 6
QUICwand: A Machine Learning Optimization-Based Hybrid Defense Approach Against QUIC Flooding Attacks
Y. A. Joarder, Carol Fung
(2024), pp. 92-99
Closed Access | Times Cited: 1
Machine learning localization to identify the epileptogenic side in mesial temporal lobe epilepsy
Hsiang‐Yu Yu, Stella Chin‐Shaw Tsai, Tse-Hao Lee, et al.
Magnetic Resonance Imaging (2024), pp. 110256-110256
Closed Access | Times Cited: 1
Comparison of optimized machine learning approach to the understanding of medial tibial stress syndrome in male military personnel
Vahid Sobhani, Alireza Asgari, Masoud Arabfard, et al.
BMC Research Notes (2023) Vol. 16, Iss. 1
Open Access | Times Cited: 3
Changes in electroencephalographic microstates between evening and morning are associated with overnight sleep slow waves in healthy individuals
Ahmadreza Keihani, Ahmad Mayeli, Francesco Donati, et al.
SLEEP (2024) Vol. 47, Iss. 6
Closed Access
QUICPro: Integrating Deep Reinforcement Learning to Defend against QUIC Handshake Flooding Attacks
Y. A. Joarder, Carol Fung
(2024), pp. 94-96
Closed Access
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 diagnosis based on diverse epoch size resting-state EEG using machine learning
Athar Al-azzawi, Saif Al‐jumaili, Adil Deniz Duru, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2170-e2170
Open Access
Utilização de Redes Neurais Convolucionais para Classificação da Esquizofrenia através de Microestados
João Vitor M. Vianna, Karin Satie Komati
(2024), pp. 81-90
Closed Access
Resting-state EEG microstate features for Alzheimer’s disease classification
Xiaoli Yang, Zhipeng Fan, Zhenwei Li, et al.
PLoS ONE (2024) Vol. 19, Iss. 12, pp. e0311958-e0311958
Open Access
Multivariate Modelling and Prediction of High-Frequency Sensor-Based Cerebral Physiologic Signals: Narrative Review of Machine Learning Methodologies
Nuray Vakitbilir, Abrar Islam, Alwyn Gomez, et al.
Sensors (2024) Vol. 24, Iss. 24, pp. 8148-8148
Open Access
Optimization of SVM Classification Accuracy with Bayesian Optimization Utilizing Data Augmentation
Arif Ridho Lubis, Yuyun Yusnida Lase, Darwis A.R., et al.
2021 4th International Conference of Computer and Informatics Engineering (IC2IE) (2023), pp. 169-174
Closed Access | Times Cited: 1
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