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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:

Alzheimer's classification using dynamic ensemble of classifiers selection algorithms: A performance analysis
Muhammed Niyas K. P., P. Thiyagarajan
Biomedical Signal Processing and Control (2021) Vol. 68, pp. 102729-102729
Closed Access | Times Cited: 17

Showing 17 citing articles:

Artificial intelligence-based methods for fusion of electronic health records and imaging data
Farida Mohsen, Hazrat Ali, Nady El Hajj, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 82
Multi-modality approaches for medical support systems: A systematic review of the last decade
Massimo Salvi, Hui Wen Loh, Silvia Seoni, et al.
Information Fusion (2023) Vol. 103, pp. 102134-102134
Open Access | Times Cited: 54
Automatic detection of Alzheimer’s disease progression: An efficient information fusion approach with heterogeneous ensemble classifiers
Shaker El–Sappagh, Farman Ali, Tamer Abuhmed, et al.
Neurocomputing (2022) Vol. 512, pp. 203-224
Closed Access | Times Cited: 62
Trustworthy artificial intelligence in Alzheimer’s disease: state of the art, opportunities, and challenges
Shaker El–Sappagh, José M. Alonso, Tamer Abuhmed, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. 10, pp. 11149-11296
Closed Access | Times Cited: 25
Integrating convolutional neural networks, kNN, and Bayesian optimization for efficient diagnosis of Alzheimer's disease in magnetic resonance images
Salim Lahmiri
Biomedical Signal Processing and Control (2022) Vol. 80, pp. 104375-104375
Closed Access | Times Cited: 35
Information fusion-based Bayesian optimized heterogeneous deep ensemble model based on longitudinal neuroimaging data
Nasir Rahim, Shaker El–Sappagh, Haytham Rizk, et al.
Applied Soft Computing (2024) Vol. 162, pp. 111749-111749
Closed Access | Times Cited: 6
Multilayer dynamic ensemble model for intensive care unit mortality prediction of neonate patients
Firuz Juraev, Shaker El–Sappagh, Eldor Abdukhamidov, et al.
Journal of Biomedical Informatics (2022) Vol. 135, pp. 104216-104216
Open Access | Times Cited: 25
Improving Depression Prediction Accuracy Using Fisher Score-Based Feature Selection and Dynamic Ensemble Selection Approach Based on Acoustic Features of Speech
Janardhan Naulegari, Nandhini Kumaresh
Traitement du signal (2022) Vol. 39, Iss. 1, pp. 87-107
Open Access | Times Cited: 13
A feature-aware multimodal framework with auto-fusion for Alzheimer’s disease diagnosis
Meiwei Zhang, Qiushi Cui, Yang Lü, et al.
Computers in Biology and Medicine (2024) Vol. 178, pp. 108740-108740
Closed Access | Times Cited: 2
Explainable Multi-Layer Dynamic Ensemble Framework Optimized for Depression Detection and Severity Assessment
Dillan Imans, Tamer Abuhmed, Meshal Alharbi, et al.
Diagnostics (2024) Vol. 14, Iss. 21, pp. 2385-2385
Open Access | Times Cited: 2
Computer aided progression detection model based on optimized deep LSTM ensemble model and the fusion of multivariate time series data
Hager Saleh, Eslam Amer, Tamer Abuhmed, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 5
An efficient semi-dynamic ensemble pruning method for facial expression recognition
Danyang Li, Guihua Wen, Zhuhong Zhang
Multimedia Tools and Applications (2024) Vol. 83, Iss. 30, pp. 73923-73956
Closed Access | Times Cited: 1
Meta Learning-Based Dynamic Ensemble Model for Crop Selection
S. Bhuvaneswari, Saravanan Palani, V. Subramaniyaswamy
Applied Artificial Intelligence (2022) Vol. 36, Iss. 1
Open Access | Times Cited: 6
Ensemble Effort Estimation: An updated and extended systematic literature review
José Thiago H. de A. Cabral, Adriano L. I. Oliveira, Fábio Q. B. da Silva
Journal of Systems and Software (2022) Vol. 195, pp. 111542-111542
Closed Access | Times Cited: 5
Classification of 1p/19q Status in Low-Grade Gliomas: Experiments with Radiomic Features and Ensemble-Based Machine Learning Methods
Tony Alexandre Medeiros, Raimundo Guimarães Saraiva, Guilherme de Souza e Cassia, et al.
Brazilian Archives of Biology and Technology (2023) Vol. 66
Open Access | Times Cited: 2
An Ensemble Dynamic Model and Bio-Inspired Feature Selection Method-based Decision Support System for Predicting Multiple Organ Dysfunction Syndrome in the ICU
Anas Maach, El Houssine El Mazoudi, Jamila Elalami, et al.
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 2
Open Access
Forestry Investigation Phase 2: Enhancing Bark Classification with Boosted Support Vector Machines Using Bagging and Feature Selection Techniques
Gokul Kottilapurath Surendran, D. A., Jozef Výbošťok, et al.
(2024)
Closed Access
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