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 Novel AI-Based System for Detection and Severity Prediction of Dementia Using MRI
Varun Jain, Om Nankar, Daryl Jacob Jerrish, et al.
IEEE Access (2021) Vol. 9, pp. 154324-154346
Open Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

Explainable Artificial Intelligence in Alzheimer’s Disease Classification: A Systematic Review
Vimbi Viswan, Noushath Shaffi, Mufti Mahmud, et al.
Cognitive Computation (2023) Vol. 16, Iss. 1, pp. 1-44
Open Access | Times Cited: 47

Human Centred Explainable AI Decision-Making in Healthcare
Catharina Margaretha van Leersum, Clara Maathuis
Journal of Responsible Technology (2025), pp. 100108-100108
Open Access | Times Cited: 2

Explainable artificial intelligence (XAI) in radiology and nuclear medicine: a literature review
Bart M. de Vries, Gerben J. C. Zwezerijnen, George L. Burchell, et al.
Frontiers in Medicine (2023) Vol. 10
Open Access | Times Cited: 36

Recent Advances in Explainable Artificial Intelligence for Magnetic Resonance Imaging
Jinzhao Qian, Hailong Li, Junqi Wang, et al.
Diagnostics (2023) Vol. 13, Iss. 9, pp. 1571-1571
Open Access | Times Cited: 25

The use of generative adversarial networks in medical image augmentation
Ahmed Makhlouf, Marina Maayah, Nada Abughanam, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 34, pp. 24055-24068
Open Access | Times Cited: 21

A scoping review of interpretability and explainability concerning artificial intelligence methods in medical imaging
Mélanie Champendal, Henning Müller, John O. Prior, et al.
European Journal of Radiology (2023) Vol. 169, pp. 111159-111159
Open Access | Times Cited: 21

Bridging the Gap: Exploring Interpretability in Deep Learning Models for Brain Tumor Detection and Diagnosis from MRI Images
Wandile Nhlapho, Marcellin Atemkeng, Yusuf Brima, et al.
Information (2024) Vol. 15, Iss. 4, pp. 182-182
Open Access | Times Cited: 7

A Federated Learning Model Based on Hardware Acceleration for the Early Detection of Alzheimer’s Disease
Kasem Khalil, Mohammad Mahbubur Rahman Khan Mamun, Ahmed Sherif, et al.
Sensors (2023) Vol. 23, Iss. 19, pp. 8272-8272
Open Access | Times Cited: 13

Ensemble approach of transfer learning and vision transformer leveraging explainable AI for disease diagnosis: An advancement towards smart healthcare 5.0
Ramesh Chandra Poonia, Halah Abdulaziz Al-Alshaikh
Computers in Biology and Medicine (2024) Vol. 179, pp. 108874-108874
Closed Access | Times Cited: 5

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

The Rise of Spatial AI
Fivos Papadimitriou
SpringerBriefs in applied sciences and technology (2025), pp. 1-19
Closed Access

Explainable Artificial Intelligence in Neuroimaging of Alzheimer’s Disease
Mahdieh Taiyeb Khosroshahi, Soroush Morsali, Sohrab Gharakhanlou, et al.
Diagnostics (2025) Vol. 15, Iss. 5, pp. 612-612
Open Access

Enhancing dementia diagnosis with Dual-Swarm optimisation and Opposition-Based learning: the DSO-OBL approach
D. Kavitha, A. Murugan
Journal of Experimental & Theoretical Artificial Intelligence (2025), pp. 1-26
Closed Access

Neurodegenerative disorders: A Holistic study of the explainable artificial intelligence applications
Hongyuan Wang, Shiva Toumaj, Arash Heidari, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 153, pp. 110752-110752
Open Access

Analysis of CNN models in classifying Alzheimer's stages: comparison and explainability examination of the proposed separable convolution-based neural network and transfer learning models
Naciye Nur Arslan, Durmuş Özdemir
Signal Image and Video Processing (2024) Vol. 18, Iss. S1, pp. 447-461
Closed Access | Times Cited: 3

Multiscale Attention Gated Network (MAGNet) for Retinal Layer and Macular Cystoid Edema Segmentation
Alex Cazañas-Gordón, Luís A. da Silva Cruz
IEEE Access (2022) Vol. 10, pp. 85905-85917
Closed Access | Times Cited: 12

From Voxels to Insights: Exploring the Effectiveness and Transparency of Graph Neural Networks in Brain Tumor Segmentation
Daniela Amendola, Andrea Basile, Giovanna C. Castellano, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024), pp. 1-7
Closed Access | Times Cited: 2

Explainable AI for Alzheimer Detection: A Review of Current Methods and Applications
Fatima Hasan Saif, Mohammed Nasser Al-Andoli, Wan Mohd Yaakob Wan Bejuri
Applied Sciences (2024) Vol. 14, Iss. 22, pp. 10121-10121
Open Access | Times Cited: 2

A novel MF-DFA-Phase-Field hybrid MRIs classification system
Jian Wang, Heming Xu, Wenjing Jiang, et al.
Expert Systems with Applications (2023) Vol. 225, pp. 120071-120071
Closed Access | Times Cited: 6

Application of Explainable Artificial Intelligence in Alzheimer's Disease Classification: A Systematic Review
Vimbi Viswan, Noushath Shaffi, Mufti Mahmud, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 6

A Dementia Diagnosis Technique Based on AI and Hardware Acceleration
Kasem Khalil, Mohammad Mahbubur Rahman Khan Mamun, Ahmed Sherif, et al.
(2023), pp. 1-5
Closed Access | Times Cited: 4

Alzheimer Hastalığının Teşhisinde Görüntü Dönüştürücü (Vision Transformer) Yaklaşımı: Yenilikçi Bir İnceleme
Mehmet Emre Sertkaya, Burhan Ergen
Fırat Üniversitesi Mühendislik Bilimleri Dergisi (2024) Vol. 36, Iss. 2, pp. 609-619
Open Access | Times Cited: 1

The Impact of Pause and Filler Words Encoding on Dementia Detection with Contrastive Learning
Reza Soleimani, Shengjie Guo, Katarina L. Haley, et al.
(2024)
Open Access | Times Cited: 1

VDRNet19: a dense residual deep learning model using stochastic gradient descent with momentum optimizer based on VGG-structure for classifying dementia
M. Pandiyarajan, R. S. Valarmathi
International Journal of Information Technology (2024)
Closed Access | Times Cited: 1

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