Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Exploiting machine learning models to identify novel Alzheimer’s disease biomarkers and potential targets
Hind Alamro, Maha A. Thafar, Somayah Albaradei, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Screening Techniques for Drug Discovery in Alzheimer’s Disease
Sandra Maniam, Subashani Maniam
ACS Omega (2024) Vol. 9, Iss. 6, pp. 6059-6073
Open Access | Times Cited: 10
Progress and trends in neurological disorders research based on deep learning
Muhammad Shahid Iqbal, Md Belal Bin Heyat, Saba Parveen, et al.
Computerized Medical Imaging and Graphics (2024) Vol. 116, pp. 102400-102400
Closed Access | Times Cited: 9
Comprehensive Overview of Alzheimer’s Disease: Etiological Insights and Degradation Strategies
Manish Kumar Singh, Yoonhwa Shin, Songhyun Ju, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 13, pp. 6901-6901
Open Access | Times Cited: 9
A review and analysis of key biomarkers in Alzheimer’s disease
Zhihao Zhang, Xiangtao Liu, Suixia Zhang, et al.
Frontiers in Neuroscience (2024) Vol. 18
Open Access | Times Cited: 5
Transforming Neurodegenerative Disorder Care with Machine Learning: Strategies and Applications
Aya Galal, Ahmed A. Moustafa, Mohamed Salama
(2025)
Closed Access
Biomarker Identification for Alzheimer’s Disease Using a Multi-Filter Gene Selection Approach
Elnaz Pashaei, Elham Pashaei, Nizamettin Aydın
International Journal of Molecular Sciences (2025) Vol. 26, Iss. 5, pp. 1816-1816
Open Access
Integrative single-cell RNA sequencing and mendelian randomization analysis reveal the potential role of synaptic vesicle cycling-related genes in Alzheimer's disease
Junfeng Zeng, Ruihua Zhang, Huihua Xu, et al.
The Journal of Prevention of Alzheimer s Disease (2025), pp. 100097-100097
Open Access
Advancing Alzheimer's Therapy: Computational Strategies and Treatment Innovations
Jibon Kumar Paul, Abbeha Malik, Mahir Azmal, et al.
IBRO Neuroscience Reports (2025) Vol. 18, pp. 270-282
Open Access
A review of AI-based radiogenomics in neurodegenerative disease
Huanjing Liu, Xiaohong Zhang, Qian Liu
Frontiers in Big Data (2025) Vol. 8
Open Access
Applying machine learning to high-dimensional proteomics datasets for the identification of Alzheimer’s disease biomarkers
Christoffer Ivarsson Orrelid, Oscar Rosberg, Sophia Weiner, et al.
Fluids and Barriers of the CNS (2025) Vol. 22, Iss. 1
Open Access
Comparison of light gradient boosting and logistic regression for interactomic hub genes in Porphyromonas gingivalis and Fusobacterium nucleatum-induced periodontitis with Alzheimer's disease
Pradeep Kumar Yadalam, Shubhangini Chatterjee, Prabhu Manickam Natarajan, et al.
Frontiers in Oral Health (2025) Vol. 6
Open Access
Exploring Deep Learning Applications in Neurodegenerative Diseases: A State-of-the-Art Review
André Luíz Quagliatto Santos, Claudia I. González, Mario T. García
Lecture notes in computer science (2025), pp. 97-108
Closed Access
Transforming neurodegenerative disorder care with machine learning: Strategies and applications
Aya Galal, Ahmed A. Moustafa, Mohamed Salama
Neuroscience (2025)
Closed Access
Machine learning in Alzheimer’s disease drug discovery and target identification
Chaofan Geng, Zhibin Wang, Yi Tang
Ageing Research Reviews (2023) Vol. 93, pp. 102172-102172
Closed Access | Times Cited: 10
Mapping Knowledge Landscapes and Emerging Trends in AI for Dementia Biomarkers: Bibliometric and Visualization Analysis
Wenhao Qi, Xiaohong Zhu, Danni He, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e57830-e57830
Open Access | Times Cited: 3
Predicting dementia progression with fully connected cascade neural networks
Ahmad Akbarifar, Adel Maghsoudpour, Fatemeh Mohammadian, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 2
Comparative Analysis of Diagnostic Techniques in Alzheimer’s Disease: The Role of AI, Biomarkers, and Brain Mapping Methods
elias mazrooei, Mohammad reza Dastury, Seyyed Ali Zendehbad
The Neuroscience Journal of Shefaye Khatam (2024) Vol. 12, Iss. 3, pp. 91-102
Open Access | Times Cited: 2
Recent Advances in Big Medical Image Data Analysis Through Deep Learning and Cloud Computing
Mohammed Y. Shakor, Mustafa Ibrahim Khaleel
Electronics (2024) Vol. 13, Iss. 24, pp. 4860-4860
Open Access | Times Cited: 2
Applications of deep learning in Alzheimer’s disease: a systematic literature review of current trends, methodologies, challenges, innovations, and future directions
Shiva Toumaj, Arash Heidari, Reza Shahhosseini, et al.
Artificial Intelligence Review (2024) Vol. 58, Iss. 2
Open Access | Times Cited: 2
Predicting mild cognitive impairment among Chinese older adults: a longitudinal study based on long short-term memory networks and machine learning
Yucheng Huang, Zishuo Huang, Qingren Yang, et al.
Frontiers in Aging Neuroscience (2023) Vol. 15
Open Access | Times Cited: 5
FutureCite: Predicting Research Articles Impact using Machine Learning and Text and Graph Mining Techniques
Maha A. Thafar, Mashael M. Alsulami, Somayah Albarade
(2024)
Open Access | Times Cited: 1
Network‐based artificial intelligence approaches for advancing personalized psychiatry
Sivanesan Rajan, Emanuel Schwarz
American Journal of Medical Genetics Part B Neuropsychiatric Genetics (2024) Vol. 195, Iss. 8
Open Access | Times Cited: 1
Targeted co-expression networks for the study of traits
Alicia Gómez-Pascual, G Rocamora-Perez, Luis Ibáñez, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
AlzGenPred - CatBoost-based gene classifier for predicting Alzheimer’s disease using high-throughput sequencing data
Rohit Shukla, Tiratha Raj Singh
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Efficient Explainable Models for Alzheimer’s Disease Classification with Feature Selection and Data Balancing Approach Using Ensemble Learning
Yogita Dubey, Aditya Bhongade, Prachi Palsodkar, et al.
Diagnostics (2024) Vol. 14, Iss. 24, pp. 2770-2770
Open Access | Times Cited: 1
Page 1 - Next Page

Scroll to top