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:

Artefact Detection in Chronically Recorded Local Field Potentials: An Explainable Machine Learning-based Approach
Marcos Fabietti, Mufti Mahmud, Ahmad Lotfi
2022 International Joint Conference on Neural Networks (IJCNN) (2022), pp. 1-7
Closed Access | Times Cited: 15

Showing 15 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: 46

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: 46

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 BERT-Based Chatbot to Support Cancer Treatment Follow-Up
Arup Dutta Bappy, Tanjim Mahmud, M. Shamim Kaiser, et al.
Communications in computer and information science (2024), pp. 47-64
Closed Access | Times Cited: 1

Early Prediction of Chronic Kidney Disease Using Machine Learning Algorithms with Feature Selection Techniques
Sultana Umme Habiba, Farzana Tasnim, M. S. Chowdhury, et al.
Communications in computer and information science (2024), pp. 224-242
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

Classifying Emotions of Parkinsonian Patients from Electroencephalogram Signals Using Efficient Attention Capsule Network
Sabbir Ahmed, Tatinee Sarker Sunom, M. Shamim Kaiser, et al.
Communications in computer and information science (2024), pp. 205-223
Closed Access

Comparative Analysis of Pre-trained CNN Models for Neurobiological Disease Classification
Uwasila Binte Munir, Shamim Al Mamun
Communications in computer and information science (2024), pp. 339-354
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

YOLO-V4 Based Detection of Varied Hand Gestures in Heterogeneous Settings
A. Aziz, Nanziba Basnin, Mohammad Farshid, et al.
Communications in computer and information science (2024), pp. 325-338
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

Enhancing insights: unravelling the potential of preprocessing MRI for artificial intelligence based Alzheimer's disease classification
Vimbi Viswan, Faizal Hajamohideen, Subramanian Karthikeyan, et al.
Elsevier eBooks (2024), pp. 125-151
Closed Access

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