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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:

Fusion of multivariate EEG signals for schizophrenia detection using CNN and machine learning techniques
Fatima Hassan, Syed Fawad Hussain, Saeed Mian Qaisar
Information Fusion (2022) Vol. 92, pp. 466-478
Closed Access | Times Cited: 56

Showing 1-25 of 56 citing articles:

Electroencephalography Signal Processing: A Comprehensive Review and Analysis of Methods and Techniques
Ahmad Chaddad, Yihang Wu, Reem Kateb, et al.
Sensors (2023) Vol. 23, Iss. 14, pp. 6434-6434
Open Access | Times Cited: 98
Epilepsy detection in 121 patient populations using hypercube pattern from EEG signals
İrem Taşçı, Burak Taşçı, Prabal Datta Barua, et al.
Information Fusion (2023) Vol. 96, pp. 252-268
Closed Access | Times Cited: 55
The applied principles of EEG analysis methods in neuroscience and clinical neurology
Hao Zhang, Qing-Qi Zhou, He Chen, et al.
Military Medical Research (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 54
A Survey on Formal Verification and Validation Techniques for Internet of Things
Moez Krichen
Applied Sciences (2023) Vol. 13, Iss. 14, pp. 8122-8122
Open Access | Times Cited: 43
Intelligent Wearable Systems: Opportunities and Challenges in Health and Sports
Luyao Yang, Osama Amin, Basem Shihada
ACM Computing Surveys (2024) Vol. 56, Iss. 7, pp. 1-42
Closed Access | Times Cited: 24
Deep Learning Models for Diagnosis of Schizophrenia Using EEG Signals: Emerging Trends, Challenges, and Prospects
Rakesh Ranjan, Bikash Chandra Sahana, Ashish Kumar Bhandari
Archives of Computational Methods in Engineering (2024) Vol. 31, Iss. 4, pp. 2345-2384
Closed Access | Times Cited: 19
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: 14
Responsible Artificial Intelligence for Mental Health Disorders: Current Applications and Future Challenges
Shaker El–Sappagh, Waleed Nazih, Meshal Alharbi, et al.
Deleted Journal (2025) Vol. 4, Iss. 1
Closed Access | Times Cited: 1
Efficient Neural Network Classification of Parkinson’s Disease and Schizophrenia Using Resting-State EEG Data
Wenjing Xiong, Lin Ma, Haifeng Li
Brain Topography (2025) Vol. 38, Iss. 3
Closed Access | Times Cited: 1
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: 20
MBSSA-Bi-AESN: Classification prediction of bi-directional adaptive echo state network based on modified binary salp swarm algorithm and feature selection
Xunjin Wu, Jianming Zhan, Tianrui Li, et al.
Applied Intelligence (2024) Vol. 54, Iss. 2, pp. 1706-1733
Closed Access | Times Cited: 8
Feature engineering of EEG applied to mental disorders: a systematic mapping study
Sandra García-Ponsoda, Jorge García-Carrasco, Miguel A. Teruel, et al.
Applied Intelligence (2023) Vol. 53, Iss. 20, pp. 23203-23243
Open Access | Times Cited: 14
Three-Branch Temporal-Spatial Convolutional Transformer for Motor Imagery EEG Classification
Weiming Chen, Yiqing Luo, Jie Wang
IEEE Access (2024) Vol. 12, pp. 79754-79764
Open Access | Times Cited: 6
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: 6
Early Diagnosis of Schizophrenia in EEG Signals Using One Dimensional Transformer Model
Afshin Shoeibi, Mahboobeh Jafari, Delaram Sadeghi, et al.
Lecture notes in computer science (2024), pp. 139-149
Closed Access | Times Cited: 5
Surface electromyography based explainable Artificial Intelligence fusion framework for feature selection of hand gesture recognition
Naveen Gehlot, Ashutosh Jena, Ankit Vijayvargiya, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109119-109119
Closed 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
A novel approach to schizophrenia Detection: Optimized preprocessing and deep learning analysis of multichannel EEG data
Sridevi Srinivasan, J. Shiny Duela
Expert Systems with Applications (2023) Vol. 246, pp. 122937-122937
Closed Access | Times Cited: 11
Introduction to brain–computer interface: research trends and applications
Saeed Mian Qaisar, Abdülhamit Subaşı
Elsevier eBooks (2025), pp. 1-20
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
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
EEG microstate biomarkers for schizophrenia: a novel approach using deep neural networks
Zahra Raeisi, Omid Bashiri, MohammadReza EskandariNasab, et al.
Cognitive Neurodynamics (2025) Vol. 19, Iss. 1
Closed Access
Automated feature engineering for automated machine learning
Casper de Winter, Flavius Frăsincar, Bart de Peuter, et al.
Knowledge-Based Systems (2025), pp. 113671-113671
Open Access
Automated schizophrenia detection model using blood sample scattergram images and local binary pattern
Burak Taşçı, Gülay TAŞCI, Hakan Ayyıldız, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 14, pp. 42735-42763
Closed Access | Times Cited: 9
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