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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:

Machine Learning Framework for the Prediction of Alzheimer’s Disease Using Gene Expression Data Based on Efficient Gene Selection
Aliaa El-Gawady, M. A. Makhlouf, B. Tawfik, et al.
Symmetry (2022) Vol. 14, Iss. 3, pp. 491-491
Open Access | Times Cited: 19

Showing 19 citing articles:

A Machine Learning based approach to predict road rutting considering uncertainty
Ke Chen, Mehran Eskandari Torbaghan, Nick Thom, et al.
Case Studies in Construction Materials (2024) Vol. 20, pp. e03186-e03186
Open Access | Times Cited: 5
A review of AI-based radiogenomics in neurodegenerative disease
Huanjing Liu, Xiaohong Zhang, Qian Liu
Frontiers in Big Data (2025) Vol. 8
Open Access
BiPoP: Bipolar Disorder Optimized Preprocessing Framework for Stress Disorder Identification through Gene Expression Data using Deep Learning
M. Sarala Shobini, M. Sudha
Engineering Technology & Applied Science Research (2025) Vol. 15, Iss. 2, pp. 22126-22130
Open Access
Genomics and Machine Learning
Sunita Gupta, Neha Janu, Meenakshi Nawal, et al.
(2024), pp. 437-457
Closed Access | Times Cited: 3
Prediction of Alzheimer’s Disease by a Novel Image-Based Representation of Gene Expression
Habil Kalkan, Umit Murat Akkaya, Güldal İnal Gültekin, et al.
Genes (2022) Vol. 13, Iss. 8, pp. 1406-1406
Open Access | Times Cited: 10
Physics-guided neural network for predicting international roughness index on flexible pavements considering accuracy, uncertainty and stability
Kun Chen, Mehran Eskandari Torbaghan, Nick Thom, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 142, pp. 109922-109922
Open Access | Times Cited: 1
A New Approach for Multimodal Usage of Gene Expression and Its Image Representation for the Detection of Alzheimer’s Disease
Umit Murat Akkaya, Habil Kalkan
Biomolecules (2023) Vol. 13, Iss. 11, pp. 1563-1563
Open Access | Times Cited: 3
A Tabular Variational Auto Encoder-Based Hybrid Model for Imbalanced Data Classification With Feature Selection
Asha Abraham, Habeeb Shaik Mohideen, R. Kayalvizhi
IEEE Access (2023) Vol. 11, pp. 122760-122771
Open Access | Times Cited: 2
Hybrid Feature Selection Method for Predicting Alzheimer’s Disease Using Gene Expression Data
Aliaa El-Gawady, B. Tawfik, M. A. Makhlouf
Computers, materials & continua/Computers, materials & continua (Print) (2022) Vol. 74, Iss. 3, pp. 5559-5572
Open Access | Times Cited: 3
Predicting Alzheimer's Disease Using a Modified Grey Wolf Optimizer and Support Vector Machine
Haider A. Abbas Mohammed, Ali Jizany, Iman Mohammed Mahmood, et al.
Ingénierie des systèmes d information (2024) Vol. 29, Iss. 2, pp. 669-676
Open Access
Physics-Enhanced Machine Learning for Predicting International Roughness Index on Flexible Pavements Considering Uncertainty
Kun Chen, Mehran Eskandari Torbaghan, Nick Thom, et al.
(2024)
Closed Access
E2FP-Net: Elevated Fusion Feature Pyramid Network for Alzheimer Detection
M. Kiruthiga Devi, Parthasarathy Ramadass, B. Karthikeyan, et al.
(2024), pp. 1-8
Closed Access
Comparison of Ensemble Techniques for Early Prediction of Alzhiemer Disease
Placida Orochi Orlunwo, Friday Eleonu Onuodu
Research Square (Research Square) (2024)
Closed Access
Performance Comparison Between Different Per-trained Models with Resnet-53 Using MRI and PET Scan Alzheimer’s Disease Image Dataset
Rama Lakshmi Boyapati, Radhika Yalavarthi
International Journal of experimental research and review (2024) Vol. 46, pp. 85-99
Closed Access
Identification of Alzheimer’s Disease Hub Genes Based on Improved HITS Algorithm
Qusay Kanaan Kadhim, Rasha Mahdi Abd ul kader, Atyaf Al-Tameemi, et al.
Journal of Kufa for Mathematics and Computer (2024) Vol. 11, Iss. 1, pp. 25-31
Open Access
Gene Expression analysis for the diagnosis of Alzhemiers disease using Machine Learning
J. Hema Pravallika, Narmadha Naveen, Naveen Sundar, et al.
(2024), pp. 1-6
Closed Access
Optimizing gene selection for alzheimer’s disease classification: A Bayesian approach to filter and embedded techniques
Bouchra Guelib, Rayene Bounab, Salah Eddine Aliouane, et al.
Applied Soft Computing (2024) Vol. 167, pp. 112307-112307
Closed Access
Classification of gene expression dataset for type 1 diabetes using machine learning methods
Noor AlRefaai, Sura Z. Al-Rashid
Bulletin of Electrical Engineering and Informatics (2023) Vol. 12, Iss. 5, pp. 2986-2992
Open Access | Times Cited: 1
Wrapper-based Modified Binary Particle Swarm Optimization for Dimensionality Reduction in Big Gene Expression Data Analytics
Hend S. Salem, Mohamed A. Mead, Ghada Eltaweel
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 10
Open Access | Times Cited: 1
Embedded Gene Expression Data Based On RidgeClassifier For Alzheimer’s Disease Classification
Bouchra Guelib, Nawrès Khlifa, Rayene Bounab
2021 International Conference on INnovations in Intelligent SysTems and Applications (INISTA) (2023), pp. 1-6
Closed Access
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