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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:

A deep learning framework for early diagnosis of Alzheimer’s disease on MRI images
Doaa Ahmed Arafa, Hossam El-Din Moustafa, Hesham Ali, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 2, pp. 3767-3799
Open Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

Fundamentals of Deep Learning
P. V. Chandrika, Sandeep Madhusudhan Kelkar
Advances in medical diagnosis, treatment, and care (AMDTC) book series (2024), pp. 1-24
Closed Access | Times Cited: 83
Emerging Trends in Deep Learning for Early Alzheimer's Disease Diagnosis and Classification: A Comprehensive Review
S. Gokul Amuthan, Naveen Kumar
International Journal of Computational and Experimental Science and Engineering (2025) Vol. 11, Iss. 1
Open Access | Times Cited: 9
Improving patient centric data retrieval and cyber security in healthcare: privacy preserving solutions for a secure future
S. Arunprasath, Suresh Annamalai
Multimedia Tools and Applications (2024) Vol. 83, Iss. 27, pp. 70289-70319
Closed Access | Times Cited: 6
Residual-Based Multi-Stage Deep Learning Framework for Computer-Aided Alzheimer’s Disease Detection
Najmul Hassan, Abu Saleh Musa Miah, Jungpil Shin
Journal of Imaging (2024) Vol. 10, Iss. 6, pp. 141-141
Open Access | Times Cited: 5
Nano-particles size measurement based on semantic segmentation via convolution neural network
Roxana Zahedi, Hamidreza Bagheri, Fahimeh Ghasemian, et al.
Measurement (2024) Vol. 240, pp. 115513-115513
Closed Access | Times Cited: 5
Leveraging CapsNet for enhanced classification of 3D MRI images for Alzheimer’s diagnosis
Jahangir Rasheed, Moiz Uddin Shaikh, Mohsin Raza Jafri, et al.
Biomedical Signal Processing and Control (2025) Vol. 103, pp. 107384-107384
Closed Access
Alzheimer’s Disease Identification and Classification Using the VGG16 Deep Convolutional Neural Network Model
Riyam Patel, A. Prasanna, Borra Sivaiah, et al.
Lecture notes in networks and systems (2025), pp. 239-248
Closed Access
AlzONet: a deep learning optimized framework for multiclass Alzheimer’s disease diagnosis using MRI brain imaging
Hiba A. Alahmed, Ghaida A. Al–Suhail
The Journal of Supercomputing (2025) Vol. 81, Iss. 2
Closed Access
Machine Learning Approaches for Speech-Based Alzheimer’s Detection: A Comprehensive Survey
Ahmed Sharafeldeen, Justin Keowen, Ahmed Shaffie
Computers (2025) Vol. 14, Iss. 2, pp. 36-36
Open Access
A comprehensive survey of past challenges, present approaches, and future research trends and scope: Alzheimer’s disease detection using MRI images
Sunetra Prabhakar Salunkhe, Nilesh Ashok Suryawanshi
Research on Biomedical Engineering (2025) Vol. 41, Iss. 1
Closed Access
SBERO: Skill Al‐Biruni Earth Radius Optimization for Alzheimer's Disease Classification Using Magnetic Resonance Image
P. Gowsikraja, K. Geetha, C. Rajan
NMR in Biomedicine (2025) Vol. 38, Iss. 3
Closed Access
Multi-Modal Fusion and Longitudinal Analysis for Alzheimer’s Disease Classification Using Deep Learning
Shakhnoza Muksimova, Sabina Umirzakova, Jushkin Baltayev, et al.
Diagnostics (2025) Vol. 15, Iss. 6, pp. 717-717
Open Access
A Novel Diagnostic Framework with an Optimized Ensemble of Vision Transformers and Convolutional Neural Networks for Enhanced Alzheimer’s Disease Detection in Medical Imaging
Joy Chakra Bortty, Gouri Shankar Chakraborty, Inshad Rahman Noman, et al.
Diagnostics (2025) Vol. 15, Iss. 6, pp. 789-789
Open Access
Oligomer sensitive in-situ detection and characterization of gold colloid aggregate formations observed within the hippocampus of the Alzheimer’s disease rat
Kazushige Yokoyama, Joel Mukkatt, Nicole Mathewson, et al.
Neuroscience Letters (2025), pp. 138218-138218
Closed Access
Speech2Dementia: A Novel Deep Learning Framework Integrating Enhanced CNN and Large Language Models for Automatic Detection of Alzheimer's Dementia
Bandaru A. Chakravarthi, Gandla Shivakanth
Computational Intelligence (2025) Vol. 41, Iss. 2
Closed Access
Role of artificial intelligence in early identification and risk evaluation of non-communicable diseases: a bibliometric analysis of global research trends
Arwa M. Al-Dekah, Waleed M. Sweileh
BMJ Open (2025) Vol. 15, Iss. 5, pp. e101169-e101169
Open Access
Alzheimer’s disease prediction using CAdam optimized reinforcement learning-based deep convolutional neural network model
Pratik Chaudhari, Sharmila Khot
Biomedical Signal Processing and Control (2025) Vol. 108, pp. 107968-107968
Closed Access
Investigating the potential of reinforcement learning and deep learning in improving Alzheimer's disease classification
Mahla Hatami, Farzin Yaghmaee, Reza Ebrahimpour
Neurocomputing (2024) Vol. 597, pp. 128119-128119
Closed Access | Times Cited: 3
MemorySona: Illuminating Cognitive Health with Deep Learning - A Mobile Medical App for Alzheimer's Patients, Emphasizing Detection through Brain MRI Images
Samah A. Z. Hassan
(2024) Vol. 12, pp. 83-90
Closed Access | Times Cited: 2
ALSA-3: Customized CNN model through ablation study for Alzheimer's disease classification Type of article: Full length article.
Md Assaduzzaman, Monoronjon Dutta, Arpa Saha, et al.
Informatics in Medicine Unlocked (2024), pp. 101584-101584
Open Access | Times Cited: 2
SVM-Based Classifier For Early Detection Of Alzheimer's Disease
Parvatham Niranjan Kumar
(2024), pp. 1120-1131
Open Access | Times Cited: 1
New Era of Intelligent Medicine: Future Scope and Challenges
Ashwani Kumar, Aanchal Gupta, Utkarsh Raj
2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) (2024), pp. 1-6
Closed Access | Times Cited: 1
Exploring intricate connectivity patterns for cognitive functioning and neurological disorders: incorporating frequency-domain NC method into fMRI analysis
Bocheng Wang
Cerebral Cortex (2024) Vol. 34, Iss. 5
Closed Access | Times Cited: 1
Intelligent prediction of Alzheimer’s disease via improved multifeature squeeze-and-excitation-dilated residual network
Zengbei Yuan, Xinlin Li, Zezhou Hao, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Improving Alzheimer’s disease classification using novel rewards in deep reinforcement learning
Mahla Hatami, Farzin Yaghmaee, Reza Ebrahimpour
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 106920-106920
Closed Access | Times Cited: 1
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