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:

Diagnosis and Detection of Alzheimer's Disease Using Learning Algorithm
Gargi Pant Shukla, Santosh Kumar, Saroj Kumar Pandey, et al.
Big Data Mining and Analytics (2023) Vol. 6, Iss. 4, pp. 504-512
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

A machine learning model for Alzheimer's disease prediction
Pooja Rani, Rohit Lamba, Ravi Kumar Sachdeva, et al.
IET Cyber-Physical Systems Theory & Applications (2024) Vol. 9, Iss. 2, pp. 125-134
Open Access | Times Cited: 12
Adversarial Network-Based Classification for Alzheimer’s Disease Using Multimodal Brain Images: A Critical Analysis
Meenu Gupta, Rakesh Kumar, Ajith Abraham
IEEE Access (2024) Vol. 12, pp. 48366-48378
Open Access | Times Cited: 6
Fuzzy ensemble-based federated learning for EEG-based emotion recognition in Internet of Medical Things
Weiwei Jiang, Yang Zhang, Haoyu Han, et al.
Journal of Industrial Information Integration (2025), pp. 100789-100789
Closed Access
Feature Fusion based Deep Learning Model for Alzheimer's Neurological Disorder Classification
Arhath Kumar, S. Pradeep, Kumud Arora, et al.
Neuroscience Informatics (2025), pp. 100196-100196
Open Access
Alzheimer Disease Progression Forecasting: Empowering Models Through hybrid of CNN and LSTM with PSO Op-Timization
Pallavi Deshpande, Ritika Dhabliya, Deepti Khubalkar, et al.
2021 International Conference on Emerging Smart Computing and Informatics (ESCI) (2024), pp. 1-5
Closed Access | Times Cited: 4
Generative Intelligence‐Based Federated Learning Model for Brain Tumor Classification in Smart Health
Niladri Maiti, Riddhi Chawla, Aadam Quraishi, et al.
(2025), pp. 435-453
Closed Access
Detection of Alzheimer's disease using deep learning models: A systematic literature review
Eqtidar M. Mohammed, Ahmed M. Fakhrudeen, Omar Alani
Informatics in Medicine Unlocked (2024) Vol. 50, pp. 101551-101551
Open Access | Times Cited: 3
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: 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
Alzheimer’s Disease Detection using Deep Learning Algorithm
F. Hussain, R. Kingsly Stephen, N.P. Aditya, et al.
2022 9th International Conference on Computing for Sustainable Global Development (INDIACom) (2024), pp. 1531-1536
Closed Access | Times Cited: 1
A Comparative Study on Hybrid Machine Learning Voting Classifier Models for Alzheimer's Disease Prediction
Govana Vetrimani Moodely, S. M. Ihtasham Hossain Amiree, May Thazin, et al.
(2023)
Closed Access | Times Cited: 2
A predictive approach for myocardial infarction risk assessment using machine learning and big clinical data
Imen Boudali, Sarra Chebaane, Yassine Zitouni
Healthcare Analytics (2024) Vol. 5, pp. 100319-100319
Open Access
Certain Studies on Alzheimer's disease: A Comprehensive Review
Viswanathan Arunachalam, Chitra Sarkar, K. S. Lakshmi
Deleted Journal (2024) Vol. 2, Iss. 06, pp. 1537-1550
Open Access
Streamlining Deep Learning Based Alzheimers Disease Classification: A Simplified Approach with ADASYN
V. Saravanan, T Sidharth, S. Arul Antran Vijay, et al.
(2024), pp. 1-6
Closed Access
KDGAN: Knowledge distillation‐based model copyright protection for secure and communication‐efficient model publishing
Bingyi Xie, Honghui Xu, Daehee Seo, et al.
IET Communications (2024) Vol. 18, Iss. 14, pp. 860-868
Open Access
Deep Learning-Based Classification of Alzheimer’s Disease from 2D Brain MRI
Soma Shekar Durga Prasad Meesala, T. Anuradha, Rahul Kanna Repakula, et al.
(2024), pp. 1-6
Closed Access
Neuroimaging Precision: Crafting a Stacked VGG19-Logistic Fusion for Breakthrough Early Detection of Alzheimer's
G. Anbu Selvi, T. Karthick
(2024), pp. 1-7
Closed Access
A Comparative Study of Machine Learning and Deep Learning Algorithms for Early Detection of Brain Tumours from MRI Images
C. Puvanadevi, T. Menakadevi
(2024), pp. 715-720
Closed Access
Machine Learning Based Alzheimer’s Disease Detection: A Comprehensive Approach
A. Periya Nayaki, A. K. Vidyabharathi, S. Krishnaveni, et al.
IFIP advances in information and communication technology (2024), pp. 209-225
Closed Access
Big Data Analytics for Early Detection of Alzheimer’s Disease
H. Parmar, Vaishali R. Mohite, Satish V. Kakade, et al.
(2024), pp. 226-229
Closed Access
DenseIncepS115: a novel network-level fusion framework for Alzheimer's disease prediction using MRI images
Fatima Rauf, Muhammad Attique Khan, Ghassen Ben Brahim, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access
Deep Learning Model to Evaluate Alzheimer's disease Through Multi-View Clustering
Sneha Nimbare, Priyanka Paygude, Amol Dhumane, et al.
International Research Journal of Multidisciplinary Technovation (2024), pp. 33-46
Open Access
Parallel Convolutional Neural Network for Brain Tumor Using MR Images
V Lithika, M.K.Kavitha Devi
(2024), pp. 1-5
Closed Access
A Machine Learning Perspective for Early Alzheimer’s Diagnosis
S. Parvathavarthini, S. V. Pranethaa, P. Santhiya, et al.
Algorithms for intelligent systems (2024), pp. 187-198
Closed Access
Influence of Attribute Granulation on Three-Way Concept Lattices
Jun Long, Yinan Li, Yang Zhan
Big Data Mining and Analytics (2024) Vol. 7, Iss. 3, pp. 655-667
Open Access
Page 1 - Next Page

Scroll to top