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:

Alzheimer’s diseases diagnosis using fusion of high informative BiLSTM and CNN features of EEG signal
Maryam Imani
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105298-105298
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

A novel hybrid model in the diagnosis and classification of Alzheimer's disease using EEG signals: Deep ensemble learning (DEL) approach
Majid Nour, Ümit Şentürk, Kemal Polat
Biomedical Signal Processing and Control (2023) Vol. 89, pp. 105751-105751
Closed Access | Times Cited: 20

A comprehensive health assessment approach using ensemble deep learning model for remote patient monitoring with IoT
R Gayathri, S. Maheswari, Sandeep Kumar Mathivanan, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5

Diagnose Alzheimer’s disease and mild cognitive impairment using deep CascadeNet and handcrafted features from EEG signals
Khosro Rezaee, Min Zhu
Biomedical Signal Processing and Control (2024) Vol. 99, pp. 106895-106895
Closed Access | Times Cited: 5

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

Machine vision-based detection of key traits in shiitake mushroom caps
Jiuxiao Zhao, Wengang Zheng, Yibo Wei, et al.
Frontiers in Plant Science (2025) Vol. 16
Open Access

A novel optimal wavelet filter banks for automated diagnosis of Alzheimer’s disease and mild cognitive impairment using Electroencephalogram signals
Digambar Puri, Jayanand P. Gawande, Jaswantsing L. Rajput, et al.
Decision Analytics Journal (2023) Vol. 9, pp. 100336-100336
Open Access | Times Cited: 11

Network Intrusion Detection Method Based on CNN-BiLSTM-Attention Model
Wei Dai, Xinhui Li, Wenxin Ji, et al.
IEEE Access (2024) Vol. 12, pp. 53099-53111
Open Access | Times Cited: 3

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

Spatio-temporal features based deep learning model for depression detection using two electrodes
Shubham Choudhary, Manish Kumar Bajpai, Kusum Kumari Bharti
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086015-086015
Open Access | Times Cited: 2

Comprehensive Systematic Computation on Alzheimer's Disease Classification
Prashant Upadhyay, Pradeep Tomar, Satya Prakash Yadav
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 1

Bio-inspired deep learning-personalized ensemble Alzheimer's diagnosis model for mental well-being
Ajmeera Kiran, Mahmood Alsaadi, Ashit Kumar Dutta, et al.
SLAS TECHNOLOGY (2024) Vol. 29, Iss. 4, pp. 100161-100161
Open Access | Times Cited: 1

Empowering Medical Data Analysis: An Advanced Deep Fusion Model for Sorting Medicine Document
Bo Guan, Shanshan Wang, Qing Zhang, et al.
IEEE Access (2023) Vol. 12, pp. 1650-1659
Open Access | Times Cited: 2

Classification of cognitive impairment using electroencephalography for clinical inspection
Karuppathal Easwaran, Kalpana Ramakrishnan, Senthil Nathan Jeyabal
Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine (2024) Vol. 238, Iss. 3, pp. 358-371
Closed Access

Psychiatric Disorders from EEG Signals Through Deep Learning Models
Zaeem Ahmed, Aamir Wali, Saman Shahid, et al.
IBRO Neuroscience Reports (2024) Vol. 17, pp. 300-310
Open Access

Machine learning applications in Alzheimer’s disease research: a comprehensive analysis of data sources, methodologies, and insights
Zahra Rezaie, Yaser M. Banadaki
International Journal of Data Science and Analytics (2024)
Closed Access

Shallow Learning Versus Deep Learning in Biomedical Applications
Mithat Öner, Ümit Şentürk, Kemal Polat
(2024), pp. 131-156
Closed Access

Identification of drug use degree by integrating multi-modal features with dual-input deep learning method
Yuxing Zhou, Xuelin Gu, Zhen Wang, et al.
Computer Methods in Biomechanics & Biomedical Engineering (2024), pp. 1-13
Closed Access

Fusing convolutional learning and attention-based Bi-LSTM networks for early Alzheimer’s diagnosis from EEG signals towards IoMT
Mohammad R. Khosravi, Hossein Parsaei, Khosro Rezaee, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access

Deep learning techniques for automated Alzheimer's and mild cognitive impairment disease using EEG signals: A comprehensive review of the last decade (2013 - 2024)
Madhav R. Acharya, Ravinesh C. Deo, Xiaohui Tao, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 259, pp. 108506-108506
Open Access

Physiological signal analysis using explainable artificial intelligence: A systematic review
Jian Shen, Jinwen Wu, Huajian Liang, et al.
Neurocomputing (2024), pp. 128920-128920
Closed Access

Automated MRI quantification of pediatric abdominal adipose tissue using convolutional neural networks and novel total intensity maps
José Gerardo Suárez-García, Benito de Celis Alonso, Javier Miguel Hernández-López, et al.
Biomedical Signal Processing and Control (2024) Vol. 102, pp. 107250-107250
Open Access

Hybrid Deep Learning and Ensemble Methods for Alzheimer’s Detection from EEG Signals
M Anjali, G. Naveen Sundar, Yetukuri Gana Bala Meghana, et al.
(2024), pp. 327-332
Closed Access

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