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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:

A deep learning based framework for diagnosis of mild cognitive impairment
Ashik Mostafa Alvi, Siuly Siuly, Hua Wang, et al.
Knowledge-Based Systems (2022) Vol. 248, pp. 108815-108815
Closed Access | Times Cited: 53

Showing 1-25 of 53 citing articles:

A Long Short-Term Memory Based Framework for Early Detection of Mild Cognitive Impairment From EEG Signals
Ashik Mostafa Alvi, Siuly Siuly, Hua Wang
IEEE Transactions on Emerging Topics in Computational Intelligence (2022) Vol. 7, Iss. 2, pp. 375-388
Closed Access | Times Cited: 68
An attention-based deep learning approach for the classification of subjective cognitive decline and mild cognitive impairment using resting-state EEG
Elena Sibilano, Antonio Brunetti, Domenico Buongiorno, et al.
Journal of Neural Engineering (2023) Vol. 20, Iss. 1, pp. 016048-016048
Open Access | Times Cited: 38
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
Utilizing graph Fourier transform for automatic Alzheimer’s disease detection from EEG signals
Ramnivas Sharma, Hemant Kumar Meena
International Journal of Information Technology (2024) Vol. 16, Iss. 3, pp. 1653-1659
Closed Access | Times Cited: 9
Multi-relation graph convolutional network for Alzheimer’s disease diagnosis using structural MRI
Jin Zhang, Xiaohai He, Linbo Qing, et al.
Knowledge-Based Systems (2023) Vol. 270, pp. 110546-110546
Closed Access | Times Cited: 18
Optimal time-frequency localized wavelet filters for identification of Alzheimer’s disease from EEG signals
Digambar Puri, Jayanand P. Gawande, Pramod Kachare, et al.
Cognitive Neurodynamics (2025) Vol. 19, Iss. 1
Closed Access
Hybrid Reptile-Snake Optimizer Based Channel Selection for Enhancing Alzheimer’s Disease Detection
Digambar Puri, Pramod Kachare, Smith K. Khare, et al.
Journal of Bionic Engineering (2025)
Closed Access
Application of Transfer Learning for Biomedical Signals: A Comprehensive Review of the Last Decade (2014-2024)
Mahboobeh Jafari, Xiaohui Tao, Prabal Datta Barua, et al.
Information Fusion (2025) Vol. 118, pp. 102982-102982
Open Access
IoT‐Based Secured Biomedical Device to Remote Monitoring to the Patient
G. Dinesh, Jeevanarao Batakala, Yousef A. Baker El–Ebiary, et al.
(2025), pp. 349-363
Closed Access
Enhancing Mild Cognitive Impairment Auxiliary Identification Through Multimodal Cognitive Assessment with Eye Tracking and Convolutional Neural Network Analysis
Na Li, Ziming Wang, Wen Ren, et al.
Biomedicines (2025) Vol. 13, Iss. 3, pp. 738-738
Open Access
Hybrid EEG-fNIRS Detection of MCI Subtypes Based on Transformer Network
Bassem Bouaziz, Siwar Chaabene, Walid Mahdi
SN Computer Science (2025) Vol. 6, Iss. 4
Closed Access
SchizoGoogLeNet: The GoogLeNet-Based Deep Feature Extraction Design for Automatic Detection of Schizophrenia
Siuly Siuly, Yan Li, Peng Wen, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-13
Open Access | Times Cited: 20
Time-series visual explainability for Alzheimer’s disease progression detection for smart healthcare
Nasir Rahim, Tamer Abuhmed, Seyedali Mirjalili, et al.
Alexandria Engineering Journal (2023) Vol. 82, pp. 484-502
Open Access | Times Cited: 11
STCGRU: A hybrid model based on CNN and BiGRU for mild cognitive impairment diagnosis
Hao Zhou, Liyong Yin, Rui Su, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 248, pp. 108123-108123
Closed Access | Times Cited: 4
Deep insights into MCI diagnosis: A comparative deep learning analysis of EEG time series
Mesut Şeker, Mehmet Siraç Özerdem
Journal of Neuroscience Methods (2024) Vol. 403, pp. 110057-110057
Closed Access | Times Cited: 3
Quantitative EEG Spectral and Connectivity Analysis for Cognitive Decline in Amnestic Mild Cognitive Impairment
Katarzyna Zawiślak-Fornagiel, Daniel Ledwoń, Monika Bugdol, et al.
Journal of Alzheimer s Disease (2024) Vol. 97, Iss. 3, pp. 1235-1247
Closed Access | Times Cited: 3
Dynamically stabilized recurrent neural network optimized with Artificial Gorilla Troops espoused Alzheimer’s disorder detection using EEG signals
G. Sudha, N. Saravanan, M. Muthalakshmi, et al.
Health Information Science and Systems (2024) Vol. 12, Iss. 1
Closed Access | Times Cited: 3
Ensemble Deep Learning Algorithm for Forecasting of Rice Crop Yield based on Soil Nutrition Levels
M. Chandraprabha, Rajesh Kumar Dhanraj
ICST Transactions on Scalable Information Systems (2023), pp. e7-e7
Open Access | Times Cited: 8
Effects of linalyl acetate on oxidative stress, inflammation and endothelial dysfunction: can linalyl acetate prevent mild cognitive impairment?
You Kyoung Shin, Geun Hee Seol
Frontiers in Pharmacology (2023) Vol. 14
Open Access | Times Cited: 8
Understanding and defending against White-box membership inference attack in deep learning
Di Wu, Saiyu Qi, Yong Qi, et al.
Knowledge-Based Systems (2022) Vol. 259, pp. 110014-110014
Closed Access | Times Cited: 13
Early diagnosis of Alzheimer's disease and mild cognitive impairment based on electroencephalography: From the perspective of event related potentials and deep learning
Chu Wang, Tao Xu, Wen Yu, et al.
International Journal of Psychophysiology (2022) Vol. 182, pp. 182-189
Closed Access | Times Cited: 13
Constructing brain functional network by Adversarial Temporal-Spatial Aligned Transformer for early AD analysis
Qiankun Zuo, Libin Lu, Lin Wang, et al.
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 13
Bibliometric analysis of electroencephalogram research in mild cognitive impairment from 2005 to 2022
Liu Mingrui, Baohu Liu, Zelin Ye, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 7
Towards finding the lost generation of autistic adults: A deep and multi-view learning approach on social media
Mahsa Khorasani, Mohsen Kahani, Seyed Amir Amin Yazdi, et al.
Knowledge-Based Systems (2023) Vol. 276, pp. 110724-110724
Closed Access | Times Cited: 7
Prediction of mild cognitive impairment using EEG signal and BiLSTM network
Tahani Jaser Alahmadi, Atta Ur Rahman, Zaid Ali Alhababi, et al.
Machine Learning Science and Technology (2024) Vol. 5, Iss. 2, pp. 025028-025028
Open Access | Times Cited: 2
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