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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:

Evaluation of Neuro Images for the Diagnosis of Alzheimer's Disease Using Deep Learning Neural Network
A Ahila, M. Poongodi, Mounir Hamdi, et al.
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 64

Showing 1-25 of 64 citing articles:

A Novel Secured Multi-Access Edge Computing based VANET with Neuro fuzzy systems based Blockchain Framework
M. Poongodi, Sami Bourouis, Ahmed Najat Ahmed, et al.
Computer Communications (2022) Vol. 192, pp. 48-56
Closed Access | Times Cited: 93
Alzheimer’s Disease Detection Using Deep Learning on Neuroimaging: A Systematic Review
Mohammed Alsubaie, Suhuai Luo, Kamran Shaukat
Machine Learning and Knowledge Extraction (2024) Vol. 6, Iss. 1, pp. 464-505
Open Access | Times Cited: 34
A comprehensive review on early detection of Alzheimer's disease using various deep learning techniques
I. Nagarajan, G. G. Lakshmi Priya
Frontiers in Computer Science (2025) Vol. 6
Open Access | Times Cited: 2
A smart IoMT based architecture for E-healthcare patient monitoring system using artificial intelligence algorithms
A Ahila, Fadl Dahan, Roobaea Alroobaea, et al.
Frontiers in Physiology (2023) Vol. 14
Open Access | Times Cited: 38
Extremely boosted neural network for more accurate multi-stage Cyber attack prediction in cloud computing environment
Surjeet Dalal, Poongodi Manoharan, Umesh Kumar Lilhore, et al.
Journal of Cloud Computing Advances Systems and Applications (2023) Vol. 12, Iss. 1
Open Access | Times Cited: 28
Automated Medical Diagnosis of Alzheimer´s Disease Using an Efficient Net Convolutional Neural Network
Deevyankar Agarwal, M. Álvaro Berbís, Antonio Luna, et al.
Journal of Medical Systems (2023) Vol. 47, Iss. 1
Open Access | Times Cited: 23
EDCNNS: Federated learning enabled evolutionary deep convolutional neural network for Alzheimer disease detection
Abdullah Lakhan, Tor‐Morten Grønli, Ghulam Muhammad, et al.
Applied Soft Computing (2023) Vol. 147, pp. 110804-110804
Closed Access | Times Cited: 20
A Deep Learning-Based Framework for Feature Extraction and Classification of Intrusion Detection in Networks
Naveed Muhammad, Fahim Arif, Syed Muhammad Usman, et al.
Wireless Communications and Mobile Computing (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 26
Deep Learning Aided Neuroimaging and Brain Regulation
Mengze Xu, Yuanyuan Ouyang, Zhen Yuan
Sensors (2023) Vol. 23, Iss. 11, pp. 4993-4993
Open Access | Times Cited: 16
Broad learning for early diagnosis of Alzheimer's disease using FDG-PET of the brain
Junwei Duan, Yang Liu, Huanhua Wu, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 13
Social Network User Profiling With Multilayer Semantic Modeling Using Ego Network
Tamil Selvi P., Kishore Balasubramaniam, S. Vidhya, et al.
International Journal of Information Technology and Web Engineering (2022) Vol. 17, Iss. 1, pp. 1-14
Open Access | Times Cited: 21
An Evolutionary Federated Learning Approach to Diagnose Alzheimer’s Disease Under Uncertainty
Nanziba Basnin, Tanjim Mahmud, Raihan Ul Islam, et al.
Diagnostics (2025) Vol. 15, Iss. 1, pp. 80-80
Open Access
Using Deep Learning to Classify and Diagnose Alzheimer's Disease
A. V. Sriharsha
(2025), pp. 413-428
Closed Access
ADNeuroNet: a neuroevolution-based neural network algorithm for the diagnosis of neurodegenerative diseases
Afreen Khan, Swaleha Zubair, Irfan Ali
Neural Computing and Applications (2025)
Closed Access
Diagnostic performance of deep learning-assisted [18F]FDG PET imaging for Alzheimer’s disease: a systematic review and meta-analysis
Haopeng Sun, Yuhan Chen, Lin Dong, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2025)
Closed Access
A Comparison of Machine Learning and Deep Learning Techniques for Predicting Alzheimer's Disease
Harsh Kumar, Mohammed Hasan Ali, Aijaz Ahmad Chopan
IGI Global eBooks (2025), pp. 115-150
Closed Access
Multimodal Fusion with Deep Neural Network Architecture for Alzheimer's Disease Prediction
Swarna Venkatesh, Kuppala Saritha, Sreenivasulu Gogula, et al.
Lecture notes in networks and systems (2025), pp. 411-418
Closed Access
Alzheimer’s Disease Detection using Weighted KNN Classifier in Comparison with Medium KNN Classifier with Improved Accuracy
Manbir Kaur, Chintan Thacker, Laxmi Goswami, et al.
(2023), pp. 715-718
Closed Access | Times Cited: 10
Advanced Hybridization and Optimization of DNNs for Medical Imaging: A Survey on Disease Detection Techniques
Maneet Kaur Bohmrah, Harjot Kaur
Artificial Intelligence Review (2025) Vol. 58, Iss. 4
Open Access
Recent Advancements in Neuroimaging‐Based Alzheimer's Disease Prediction Using Deep Learning Approaches in e‐Health: A Systematic Review
Zia‐ur‐Rehman, Mohd Khalid Awang, Ghulam Ali, et al.
Health Science Reports (2025) Vol. 8, Iss. 5
Open Access
Comparative Analysis of Supervised Machine and Deep Learning Algorithms for Kyphosis Disease Detection
Alok Singh Chauhan, Umesh Kumar Lilhore, Amit Kumar Gupta, et al.
Applied Sciences (2023) Vol. 13, Iss. 8, pp. 5012-5012
Open Access | Times Cited: 8
Deep Learning-Based Feature Extraction from Whole-Body PET/CT Employing Maximum Intensity Projection Images: Preliminary Results of Lung Cancer Data
Joonhyung Gil, Hongyoon Choi, Jin Chul Paeng, et al.
Nuclear Medicine and Molecular Imaging (2023) Vol. 57, Iss. 5, pp. 216-222
Closed Access | Times Cited: 7
An Adaptive Service-Oriented Business Management Pattern Based on Machine Learning Rule ML
Nalini Mohan, KDV Prasad, K. L. S. Soujanya, et al.
(2023), pp. 1672-1676
Closed Access | Times Cited: 7
Artificial Intelligence and Machine Learning in Drug Discovery and Development
Ritik Johari, Annavi Gupta, Aniket Sharma, et al.
(2023), pp. 556-561
Closed Access | Times Cited: 7
Automated classification of Alzheimer's disease based on deep belief neural networks
K. Nanthini, A. Tamilarasi, D. Sivabalaselvamani, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 13, pp. 7405-7419
Closed Access | Times Cited: 2
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