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:

EEG microstate features for schizophrenia classification
Kyungwon Kim, Nguyen Thanh Duc, Minsung Choi, et al.
PLoS ONE (2021) Vol. 16, Iss. 5, pp. e0251842-e0251842
Open Access | Times Cited: 76

Showing 1-25 of 76 citing articles:

A GRU–CNN model for auditory attention detection using microstate and recurrence quantification analysis
MohammadReza EskandariNasab, Zahra Raeisi, Reza Ahmadi Lashaki, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 30

Detection of schizophrenia using hybrid of deep learning and brain effective connectivity image from electroencephalogram signal
Sara Bagherzadeh, Mohsen Sadat Shahabi, Ahmad Shalbaf
Computers in Biology and Medicine (2022) Vol. 146, pp. 105570-105570
Closed Access | Times Cited: 52

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

Fusion of pattern-based and statistical features for Schizophrenia detection from EEG signals
Megha Agarwal, Amit Singhal
Medical Engineering & Physics (2023) Vol. 112, pp. 103949-103949
Closed Access | Times Cited: 23

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: 13

Specific endophenotypes in EEG microstates for methamphetamine use disorder
Xiumei Gao, Yun-Hsuan Chen, Zhen Zeng, et al.
Frontiers in Psychiatry (2025) Vol. 15
Open Access | Times Cited: 1

EEG microstate in first-episode drug-naive adolescents with depression
Zongya Zhao, Yanxiang Niu, Xiaofeng Zhao, et al.
Journal of Neural Engineering (2022) Vol. 19, Iss. 5, pp. 056016-056016
Closed Access | Times Cited: 31

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

SCZ-SCAN: An automated Schizophrenia detection system from electroencephalogram signals
Geet Sahu, Mohan Karnati, Abhishek Gupta, et al.
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105206-105206
Closed 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: 19

Normative Temporal Dynamics of Resting EEG Microstates
Anthony P. Zanesco
Brain Topography (2023) Vol. 37, Iss. 2, pp. 243-264
Closed Access | Times Cited: 19

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

Analysis of EEG microstates as biomarkers in neuropsychological processes – Review
Asha S.A, C. Sudalaimani, P Devanand, et al.
Computers in Biology and Medicine (2024) Vol. 173, pp. 108266-108266
Closed Access | Times Cited: 7

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

Effects of Microstate Dynamic Brain Network Disruption in Different Stages of Schizophrenia
Tianyi Yan, Gongshu Wang, Tiantian Liu, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 2688-2697
Open Access | Times Cited: 13

Objective Neurophysiological Indices for the Assessment of Chronic Tinnitus Based on EEG Microstate Parameters
Yingying Wang, Peiying Zeng, Zhixiang Gu, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 983-993
Open Access | Times Cited: 5

A Narrative Review of Speech and EEG Features for Schizophrenia Detection: Progress and Challenges
Felipe Teixeira, Miguel Rocha e Costa, José Pio Abreu, et al.
Bioengineering (2023) Vol. 10, Iss. 4, pp. 493-493
Open Access | Times Cited: 11

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: 4

Diagnosis of Schizophrenia Using EEG Sensor Data: A Novel Approach with Automated Log Energy-Based Empirical Wavelet Reconstruction and Cepstral Features
Sumair Aziz, Muhammad Umar Khan, Khushbakht Iqtidar, et al.
Sensors (2024) Vol. 24, Iss. 20, pp. 6508-6508
Open Access | Times Cited: 4

EEG Microstate Analysis and Machine Learning Classification in Patients with Obsessive-Compulsive Disorder
Mohan Ma, Bing-xun Lu, Yumei Gong, et al.
Journal of Psychiatric Research (2025) Vol. 182, pp. 186-194
Closed Access

Resting-state microstate dynamics abnormalities in children with ADHD and co-occurring sleep problems
Tianbao Piao, GuiSen Wu, Yu Zhu, et al.
Sleep Medicine (2025) Vol. 128, pp. 1-11
Closed Access

Eeg Microstates and Balance Parameters for Stroke Discrimination: A Machine Learning Approach
Eloise de Oliveira Lima, José Maurício Ramos de Souza Neto, Francisco Enrique Vicente Castro, et al.
Brain Topography (2025) Vol. 38, Iss. 2
Closed Access

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

EEG Microstate Dynamics during Different Physiological Developmental Stages and the Effects of Medication in Schizophrenia
Shihai Ling, Lingyan Du, Xi Tan, et al.
Journal of Integrative Neuroscience (2025) Vol. 24, Iss. 3
Open Access

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