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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:

Automatic Diagnosis of Schizophrenia in EEG Signals Using CNN-LSTM Models
Afshin Shoeibi, Delaram Sadeghi, Parisa Moridian, et al.
Frontiers in Neuroinformatics (2021) Vol. 15
Open Access | Times Cited: 125

Showing 26-50 of 125 citing articles:

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: 17
CCPNet136: automated detection of schizophrenia using carbon chain pattern and iterative TQWT technique with EEG signals
Mehmet Bayğın, Prabal Datta Barua, Subrata Chakraborty, et al.
Physiological Measurement (2023) Vol. 44, Iss. 3, pp. 035008-035008
Closed Access | Times Cited: 15
Automated detection of schizophrenia using deep learning: a review for the last decade
Manish Sharma, Ruchit Kumar Patel, Akshat Garg, et al.
Physiological Measurement (2023) Vol. 44, Iss. 3, pp. 03TR01-03TR01
Closed Access | Times Cited: 15
MI‐Mamba: A hybrid motor imagery electroencephalograph classification model with Mamba's global scanning
Meng Guo, Xu Han, Hongxing Liu, et al.
Annals of the New York Academy of Sciences (2025)
Closed Access
Schizophrenia diagnosis using latent components of event-related potentials and machine learning approach
Nadezhda Shanarova, М. В. Пронина, Mikhail Lipkovich, et al.
The European Physical Journal Special Topics (2025)
Closed Access
Dual-pathway EEG model with channel attention for virtual reality motion sickness detection
Chengcheng Hua, Yuechi Chen, Jianlong Tao, et al.
Journal of Neuroscience Methods (2025), pp. 110425-110425
Closed Access
Automatic Diagnosis of Epileptic Seizures in EEG Signals Using Fractal Dimension Features and Convolutional Autoencoder Method
Anis Malekzadeh, Assef Zare, Mahdi Yaghoobi, et al.
Big Data and Cognitive Computing (2021) Vol. 5, Iss. 4, pp. 78-78
Open Access | Times Cited: 35
Development and assessment of machine learning based heart disease detection using imbalanced heart sound signal
Adyasha Rath, Debahuti Mishra, Ganapati Panda, et al.
Biomedical Signal Processing and Control (2022) Vol. 76, pp. 103730-103730
Closed Access | Times Cited: 26
Diabetic retinopathy classification using a novel DAG network based on multi-feature of fundus images
Lingling Fang, Huan Qiao
Biomedical Signal Processing and Control (2022) Vol. 77, pp. 103810-103810
Closed Access | Times Cited: 25
An accurate generation of image captions for blind people using extended convolutional atom neural network
Tejal Tiwary, Rajendra Prasad Mahapatra
Multimedia Tools and Applications (2022) Vol. 82, Iss. 3, pp. 3801-3830
Open Access | Times Cited: 25
EEG-fNIRS-based hybrid image construction and classification using CNN-LSTM
Nabeeha Ehsan Mughal, Muhammad Jawad Khan, Khurram Khalil, et al.
Frontiers in Neurorobotics (2022) Vol. 16
Open Access | Times Cited: 25
Evaluation of Machine Learning Algorithms for Classification of EEG Signals
Francisco Javier Ramírez-Arias, Enrique Efrén García-Guerrero, Esteban Tlelo‐Cuautle, et al.
Technologies (2022) Vol. 10, Iss. 4, pp. 79-79
Open Access | Times Cited: 24
DSNN: A DenseNet-Based SNN for Explainable Brain Disease Classification
Ziquan Zhu, Siyuan Lu, Shuihua Wang‎, et al.
Frontiers in Systems Neuroscience (2022) Vol. 16
Open Access | Times Cited: 23
A deep cross-modal neural cognitive diagnosis framework for modeling student performance
Lingyun Song, Mengting He, Xuequn Shang, et al.
Expert Systems with Applications (2023) Vol. 230, pp. 120675-120675
Closed Access | Times Cited: 14
A Framework for Systematically Evaluating the Representations Learned by A Deep Learning Classifier from Raw Multi-Channel Electroencephalogram Data
Charles A. Ellis, Abhinav Sattiraju, Robyn L. Miller, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 13
Identification of Clinical Features Associated with Mortality in COVID-19 Patients
Rahimeh Eskandarian, Roohallah Alizadehsani, Mohaddeseh Behjati, et al.
Operations Research Forum (2023) Vol. 4, Iss. 1
Open Access | Times Cited: 12
Automatic identification of schizophrenia based on EEG signals using dynamic functional connectivity analysis and 3D convolutional neural network
Mingkan Shen, Peng Wen, Bo Song, et al.
Computers in Biology and Medicine (2023) Vol. 160, pp. 107022-107022
Closed Access | Times Cited: 12
Detecting Autism Spectrum Disorder and Attention Deficit Hyperactivity Disorder Using Multimodal Time-Frequency Analysis with Machine Learning Using the Electroretinogram from Two Flash Strengths
Sultan Mohammad Manjur, Luís Roberto Mercado Díaz, Irene Lee, et al.
Journal of Autism and Developmental Disorders (2024)
Closed Access | Times Cited: 4
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: 4
An Explainable Deep Learning-Based Method for Schizophrenia Diagnosis Using Generative Data-Augmentation
Mehrshad Saadatinia, Armin Salimi-Badr
IEEE Access (2024) Vol. 12, pp. 98379-98392
Open Access | Times Cited: 4
Automatic Diagnosis of Schizophrenia in EEG Signals Using Functional Connectivity Features and CNN-LSTM Model
Afshin Shoeibi, Mitra Rezaei, Navid Ghassemi, et al.
Lecture notes in computer science (2022), pp. 63-73
Closed Access | Times Cited: 21
Classification of brain hemorrhage computed tomography images using OzNet hybrid algorithm
Öznur Özaltın, Orhan Coskun, Özgür Yeniay, et al.
International Journal of Imaging Systems and Technology (2022) Vol. 33, Iss. 1, pp. 69-91
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: 11
Multi-model order spatially constrained ICA reveals highly replicable group differences and consistent predictive results from resting data: A large N fMRI schizophrenia study
Xing Meng, Armin Iraji, Zening Fu, et al.
NeuroImage Clinical (2023) Vol. 38, pp. 103434-103434
Open Access | Times Cited: 10
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: 3

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