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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:

Ensemble Classifiers for a 4-Way Classification of Alzheimer’s Disease
Noushath Shaffi, Faizal Hajamohideen, Abdelhamid Abdesselam, et al.
Communications in computer and information science (2022), pp. 219-230
Closed Access | Times Cited: 19

Showing 19 citing articles:

Interpreting artificial intelligence models: a systematic review on the application of LIME and SHAP in Alzheimer’s disease detection
Vimbi Viswan, Noushath Shaffi, Mufti Mahmud
Brain Informatics (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 48
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: 46
Exploring Deep Transfer Learning Ensemble for Improved Diagnosis and Classification of Alzheimer’s Disease
Tanjim Mahmud, Koushick Barua, Anik Barua, et al.
Lecture notes in computer science (2023), pp. 109-120
Closed Access | Times Cited: 45
Performance Evaluation of Deep, Shallow and Ensemble Machine Learning Methods for the Automated Classification of Alzheimer’s Disease
Noushath Shaffi, S. Karthikeyan, Vimbi Viswan, et al.
International Journal of Neural Systems (2024) Vol. 34, Iss. 07
Closed Access | Times Cited: 11
Deep Learning for Alzheimer’s Disease Prediction: A Comprehensive Review
Isra Malik, Ahmed Iqbal, Yeong Hyeon Gu, et al.
Diagnostics (2024) Vol. 14, Iss. 12, pp. 1281-1281
Open Access | Times Cited: 7
Exploring Intervention Techniques for Alzheimer’s Disease: Conventional Methods and the Role of AI in Advancing Care
S. Karthikeyan, Faizal Hajamohideen, Vimbi Viswan, et al.
Artificial Intelligence and Applications (2024)
Open Access | Times Cited: 4
Bagging the Best: A Hybrid SVM-KNN Ensemble for Accurate and Early Detection of Alzheimer’s and Parkinson’s Diseases
Noushath Shaffi, Vimbi Viswan, Mufti Mahmud, et al.
Lecture notes in computer science (2023), pp. 443-455
Closed Access | Times Cited: 7
Multi-Planar MRI-Based Classification of Alzheimer's Disease Using Tree-Based Machine Learning Algorithms*
Noushath Shaffi, Vimbi Viswan, Mufti Mahmud, et al.
(2023), pp. 496-502
Closed Access | Times Cited: 7
A Comparative Study of Pretrained Deep Neural Networks for Classifying Alzheimer's and Parkinson's Disease
Vimbi Viswan, Noushath Shaffi, Mufti Mahmud, et al.
2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2023), pp. 1334-1339
Closed Access | Times Cited: 7
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
Exploring Intervention Techniques for Alzheimer's Disease: Conventional Methods and the Role of AI in Advancing Care
S. Karthikeyan, Faizal Hajamohideen, Vimbi Viswan, et al.
Artificial Intelligence and Applications (2024)
Open Access
Impacts of Environmental Factors on Wellbeing: Machine Learning-Based Benchmarking of Spatial and Temporal Properties
Faiza Guerrache, David Brown, Mufti Mahmud
Lecture notes in networks and systems (2024), pp. 631-642
Closed Access
Performance Analysis of a Single-Input Thermal Image Classifier with Patient Information for the Detection of Breast Cancer
Anna Susan Cherian, Mathew Jose Mammoottil, Lloyd J. Kulangara, et al.
Communications in computer and information science (2024), pp. 148-168
Closed Access
Optimizing Medical Imaging Quality: An In-Depth Examination of Preprocessing Methods for Brain MRIs
Vimbi Viswan, Noushath Shaffi, S. Karthikeyan, et al.
Communications in computer and information science (2024), pp. 65-81
Closed Access
Transfer Learning-Based Ensemble of Deep Neural Architectures for Alzheimer’s and Parkinson’s Disease Classification
Vimbi Viswan, Noushath Shaffi, Mufti Mahmud, et al.
Communications in computer and information science (2024), pp. 186-204
Closed Access
A Media-Pipe Integrated Deep Learning Model for ISL (Alphabet) Recognition and Converting Text to Sound with Video Input
T. M. Vishnu Mukundan, Aryan Gadhiya, Karthik Nadar, et al.
Communications in computer and information science (2024), pp. 267-282
Closed Access
Classifying Depressed and Healthy Individuals Using Wearable Sensor Data: A Comparative Analysis of Classical Machine Learning Approaches
Faiza Guerrache, David Brown, Mufti Mahmud
Communications in computer and information science (2024), pp. 126-147
Closed Access
VisTAD: A Vision Transformer Pipeline for the Classification of Alzheimer’s Disease
Noushath Shaffi, Vimbi Viswan, Mufti Mahmud
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 68, pp. 1-8
Closed Access
Machine learning‐based radiomics in neurodegenerative and cerebrovascular disease
Meilong Shi, Feng Xiong, He Zhi, et al.
MedComm (2024) Vol. 5, Iss. 11
Open Access
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