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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:

Deep Learning Based Model for Alzheimer's Disease Detection Using Brain MRI Images
Muntasir Mamun, Siam Bin Shawkat, Md Salim Ahammed, et al.
2022 IEEE 13th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) (2022), pp. 0510-0516
Closed Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Brain Tumor Detection Based on Deep Learning Approaches and Magnetic Resonance Imaging
Akmalbek Abdusalomov, Mukhriddin Mukhiddinov, Taeg Keun Whangbo
Cancers (2023) Vol. 15, Iss. 16, pp. 4172-4172
Open Access | Times Cited: 135
A Deep Analysis of Brain Tumor Detection from MR Images Using Deep Learning Networks
Md Ishtyaq Mahmud, Muntasir Mamun, Ahmed Abdelgawad
Algorithms (2023) Vol. 16, Iss. 4, pp. 176-176
Open Access | Times Cited: 133
Review on Alzheimer Disease Detection Methods: Automatic Pipelines and Machine Learning Techniques
Amar Shukla, Rajeev Tiwari, Shamik Tiwari
Sci (2023) Vol. 5, Iss. 1, pp. 13-13
Open Access | Times Cited: 40
A Deep Analysis of Transfer Learning Based Breast Cancer Detection Using Histopathology Images
Md Ishtyaq Mahmud, Muntasir Mamun, Ahmed Abdelgawad
(2023), pp. 198-204
Open Access | Times Cited: 22
Vocal Feature Guided Detection of Parkinson’s Disease Using Machine Learning Algorithms
Muntasir Mamun, Md Ishtyaq Mahmud, Md Iqbal Hossain, et al.
2022 IEEE 13th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) (2022), pp. 0566-0572
Closed Access | Times Cited: 24
A Deep Analysis of Textual Features Based Cyberbullying Detection Using Machine Learning
Md Ishtyaq Mahmud, Muntasir Mamun, Ahmed Abdelgawad
(2022), pp. 166-170
Closed Access | Times Cited: 23
Heart Disease Detection Using ML
Ranjit Chandra Das, Madhab Chandra Das, Md. Amzad Hossain, et al.
2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC) (2023), pp. 0983-0987
Closed Access | Times Cited: 15
LCDctCNN: Lung Cancer Diagnosis of CT scan Images Using CNN Based Model
Muntasir Mamun, Md Ishtyaq Mahmud, Mahabuba Meherin, et al.
(2023), pp. 205-212
Open Access | Times Cited: 15
Dual Attention Convolutional AutoEncoder for Diagnosis of Alzheimer’s Disorder in Patients Using Neuroimaging and MRI Features
Shaha Al‐Otaibi, Muhammad Mujahid, Amjad Rehman, et al.
IEEE Access (2024) Vol. 12, pp. 58722-58739
Open Access | Times Cited: 5
VGX: VGG19‐Based Gradient Explainer Interpretable Architecture for Brain Tumor Detection in Microscopy Magnetic Resonance Imaging (MMRI)
Deep Kothadiya, Amjad Rehman, Bayan Alghofaily, et al.
Microscopy Research and Technique (2025)
Closed Access
An Approach for Detecting Alzheimer's Disease Using Deep Learning Techniques
Amal ElArid, Ghalia Nassreddine, Mohamad Nassereddine, et al.
Communications in computer and information science (2025), pp. 63-75
Closed Access
Categorization of Alzheimer’s disease stages using deep learning approaches with McNemar’s test
Begüm Şener, Koray Açıcı, Emre Sümer
PeerJ Computer Science (2024) Vol. 10, pp. e1877-e1877
Open Access | Times Cited: 3
MLHeartDis:Can Machine Learning Techniques Enable to Predict Heart Diseases?
Muntasir Mamun, Md. Milon Uddin, V. Tiwari, et al.
2022 IEEE 13th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) (2022), pp. 0561-0565
Closed Access | Times Cited: 14
A LeViT–EfficientNet-Based Feature Fusion Technique for Alzheimer’s Disease Diagnosis
Abdul Rahaman Wahab Sait
Applied Sciences (2024) Vol. 14, Iss. 9, pp. 3879-3879
Open Access | Times Cited: 2
Ensemble ResDenseNet: Alzheimer’s disease staging from brain MRI using deep weighted ensemble transfer learning
Md. Rabiul Hasan, A. B. M. Aowlad Hossain, Shah Muhammad Azmat Ullah
International Journal of Computers and Applications (2024) Vol. 46, Iss. 7, pp. 539-554
Closed Access | Times Cited: 2
A Feature-Fusion Technique-Based Alzheimer’s Disease Classification Using Magnetic Resonance Imaging
Abdul Rahaman Wahab Sait, R. Nagaraj
Diagnostics (2024) Vol. 14, Iss. 21, pp. 2363-2363
Open Access | Times Cited: 2
Automated Neurological Brain Disease Detection in Magnetic Resonance Imaging Using Deep Learning Approaches
S. Thilagavathi, Dhanya Sridhar, Jawahar Sundaram
Advances in medical diagnosis, treatment, and care (AMDTC) book series (2024), pp. 150-178
Closed Access | Times Cited: 1
Alzhinet: an explainable self-attention based classification model to detect Alzheimer from 3D volumetric MRI data
Abdul Basit Ahanger, Syed Wajid Aalam, Assif Assad, et al.
International Journal of Systems Assurance Engineering and Management (2024)
Closed Access | Times Cited: 1
A Novel Approach for Alzheimer’s Disease Detection using XAI and Grad-CAM
Savarala Chethana, Sreevathsa Sree Charan, Vemula Srihitha, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 4
Lung Cancer Classification Using CT Scan Images Through Deep Learning And CNN Based Model
Nithesh Kumar Karthikeyan, Sharuksha Syed Ali, Vishnu Sekhar R
(2024), pp. 01-05
Closed Access | Times Cited: 1
An Adapted Convolutional Neural Network for Brain Tumor Detection
Kamagaté Beman Hamidja, Kanga Koffi, Pacôme Brou, et al.
Open Journal of Applied Sciences (2024) Vol. 14, Iss. 10, pp. 2809-2825
Open Access
Hybrid Analysis for Detection of Alzheimer Disease Using Computer Aided Diagnostic Tool
Naveen Kumar, C. Kaushik Viknesh
(2024), pp. 1-9
Closed Access
MR Image Feature Analysis for Alzheimer’s Disease Detection Using Machine Learning Approaches
D. S. A. Aashiqur Reza, Sadia Afrin, Md. Ahsan Ullah, et al.
Information Dynamics and Applications (2023) Vol. 2, Iss. 3, pp. 143-152
Open Access | Times Cited: 1
Development of Deep Learning Model Base on Modified CNN Architectures for Brain Tumours Early Diagnosis
Zul Indra, Yessi Jusman, Rahmad Kurniawan
(2023), pp. 503-507
Closed Access | Times Cited: 1
BrainCrossFed CNN Model for Alzheimer Classification using MRI data and Comparison and Benchmarking proposed model with DINOv2 and ExplainableAI using GradCAM
Uppin Rashmi, B.M Beena, Sateesh Ambesange
(2023), pp. 1-7
Closed Access
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