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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:

EEG-Based Schizophrenia Diagnosis through Time Series Image Conversion and Deep Learning
Dong-Woo Ko, Jung-Jin Yang
Electronics (2022) Vol. 11, Iss. 14, pp. 2265-2265
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

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: 17
Zipper Pattern: An Investigation into Psychotic Criminal Detection Using EEG Signals
Gülay TAŞCI, Prabal Datta Barua, Dahiru Tanko, et al.
Diagnostics (2025) Vol. 15, Iss. 2, pp. 154-154
Open Access | Times Cited: 2
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
Automatic recognition of schizophrenia from brain-network features using graph convolutional neural network
Guimei Yin, Ying Chang, Yanli Zhao, et al.
Asian Journal of Psychiatry (2023) Vol. 87, pp. 103687-103687
Closed Access | Times Cited: 13
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
Dual-Modality Transformer with Time Series Imaging for Robust Epileptic Seizure Prediction
Jiahao Qin, Z G Liu, Jihong Zhuang, et al.
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1538-1538
Open 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
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
EEG-based schizophrenia detection: integrating discrete wavelet transform and deep learning
Dayanand Dhongade, Kamal Captain, Sonika Dahiya
Cognitive Neurodynamics (2025) Vol. 19, Iss. 1
Closed Access
Schizophrenia Detection on EEG Signals Using an Ensemble of a Lightweight Convolutional Neural Network
Muhammad Hussain, Noudha Abdulrahman Alsalooli, Norah Almaghrabi, et al.
Applied Sciences (2024) Vol. 14, Iss. 12, pp. 5048-5048
Open Access | Times Cited: 3
AI-Driven Neuro-Monitoring: Advancing Schizophrenia Detection and Management Through Deep Learning and EEG Analysis
Elena-Anca Paraschiv, Lidia Băjenaru, Cristian Petrache, et al.
Future Internet (2024) Vol. 16, Iss. 11, pp. 424-424
Open Access | Times Cited: 3
Automated detection of epileptic EEG signals using recurrence plots-based feature extraction with transfer learning
Sachin Goel, Rajeev Agrawal, R. K. Bharti
Soft Computing (2023)
Open Access | Times Cited: 8
Regional Contribution in Electrophysiological-Based Classifications of Attention Deficit Hyperactive Disorder (ADHD) Using Machine Learning
Nishant Chauhan, Byung-Jae Choi
Computation (2023) Vol. 11, Iss. 9, pp. 180-180
Open Access | Times Cited: 7
Optimizing feature subset for schizophrenia detection using multichannel EEG signals and rough set theory
Sridevi Srinivasan, J. Shiny Duela
Cognitive Neurodynamics (2024) Vol. 18, Iss. 2, pp. 431-446
Closed Access | Times Cited: 2
Role of different omics data in the diagnosis of schizophrenia disorder: A machine learning study
Aarthy Varathan, Suntharalingam Senthooran, Pratheeba Jeyananthan
Schizophrenia Research (2024) Vol. 271, pp. 38-46
Closed Access | Times Cited: 2
Examining Neural Connectivity in Schizophrenia Using Task-Based EEG: A Graph Theory Approach
Sergio Iglesias‐Parro, María Felipa Soriano, Antonio J. Ibáñez‐Molina, et al.
Sensors (2023) Vol. 23, Iss. 21, pp. 8722-8722
Open Access | Times Cited: 4
Diagnosis of schizophrenia based on transformation from EEG sub-bands to the image with deep learning architecture
Ömer Türk, Erdoğan Aldemir, Emrullah Acar, et al.
Soft Computing (2023) Vol. 28, Iss. 9-10, pp. 6607-6617
Closed Access | Times Cited: 2
A Channel and Spatial Attention-Based ResNet Module for EEG-Based Schizophrenia Detection
Sunidhi Singh, Srishti Singh, Archana Singh, et al.
(2024), pp. 1862-1867
Closed Access
Efficient Schizophrenia Detection Through Transfer Learning for Robust Diagnostics
Gnaneswari Kancherla, Srinivasa Panchavedi Gopamsana, Bhaskar Reddy Yadamakanti, et al.
(2024), pp. 318-327
Closed Access
Applied the MoDWT and STFT Layers to Classify the EEG of Schizophrenia Patients
Viet Quoc Huynh, Tuan Van Huynh
Lecture notes in networks and systems (2024), pp. 66-71
Closed Access
Detection of Schizophrenia from EEG Signals using Selected Statistical Moments of MFC Coefficients and Ensemble Learning
Ashima Tyagi, Vibhav Prakash Singh, Manoj Madhava Gore
Neuroinformatics (2024)
Closed Access
A Fused Power Spectrum based Feature Selection to Identify Schizophrenia from EEG Signals using Deep Learning Models - An Experimental Study
Surya Majumder, Saikat Bandopadhyay, Sujay Saha, et al.
Research Square (Research Square) (2024)
Open Access
From Brain Waves to Diagnoses: AI's Role in Schizophrenia Detection
N Shan, V. Amsaveni
(2024), pp. 1-5
Closed 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
Ethical Considerations Surrounding the Use of AI-Interventions in Application of Mental Healthcare
Mohit Verma, K. M. M. Vishvak Chanthar, Mirza Jahanzeb Beg
Advances in medical technologies and clinical practice book series (2024), pp. 193-222
Closed Access
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