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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:

Artifact Detection in Chronically Recorded Local Field Potentials using Long-Short Term Memory Neural Network
Marcos Fabietti, Mufti Mahmud, Ahmad Lotfi, et al.
(2020), pp. 1-6
Closed Access | Times Cited: 35

Showing 1-25 of 35 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
A Hybrid Approach for Stress Prediction from Heart Rate Variability
Md. Rahat Shahriar Zawad, Chowdhury Saleh Ahmed Rony, Md. Yeaminul Haque, et al.
Lecture notes in networks and systems (2023), pp. 111-121
Closed Access | Times Cited: 11
Adaptation of Convolutional Neural Networks for Multi-Channel Artifact Detection in Chronically Recorded Local Field Potentials
Marcos Fabietti, Mufti Mahmud, Ahmad Lotfi, et al.
2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2020)
Closed Access | Times Cited: 28
Classification of First Trimester Ultrasound Images Using Deep Convolutional Neural Network
Rishi Kumar Singh, Mufti Mahmud, Luis Yovera
Communications in computer and information science (2021), pp. 92-105
Closed Access | Times Cited: 21
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
Improving Mental Health Through Multimodal Emotion Detection from Speech and Text Data Using Long-Short Term Memory
Dhritesh Bhagat, Aritra Ray, Adarsh Sarda, et al.
Lecture notes in networks and systems (2023), pp. 13-23
Closed Access | Times Cited: 8
Channel-independent recreation of artefactual signals in chronically recorded local field potentials using machine learning
Marcos Fabietti, Mufti Mahmud, Ahmad Lotfi
Brain Informatics (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 13
SANTIA: a Matlab-based open-source toolbox for artifact detection and removal from extracellular neuronal signals
Marcos Fabietti, Mufti Mahmud, Ahmad Lotfi, et al.
Brain Informatics (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 17
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
HyEpiSeiD: a hybrid convolutional neural network and gated recurrent unit model for epileptic seizure detection from electroencephalogram signals
R K Bhadra, Pawan Kumar Singh, Mufti Mahmud
Brain Informatics (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 1
Evaluation of Strategies Based on Wavelet-ICA and ICLabel for Artifact Correction in EEG Recordings
Luisa María Zapata Saldarriaga, Angie-Dahiana Vargas-Serna, Jesica Gil-Gutiérrez, et al.
Revista Científica (2023) Vol. 46, Iss. 1, pp. 61-76
Open Access | Times Cited: 3
Anomaly Detection in Invasively Recorded Neuronal Signals Using Deep Neural Network: Effect of Sampling Frequency
Marcos Fabietti, Mufti Mahmud, Ahmad Lotfi
Communications in computer and information science (2021), pp. 79-91
Closed Access | Times Cited: 8
Development an intelligent method for restoring hippocampal activity after damage
Albina Lebedeva, Anna Beltyukova, Svetlana A. Gerasimova, et al.
(2023), pp. 169-173
Closed Access | Times Cited: 2
On-Chip Machine Learning for Portable Systems: Application to Electroencephalography-based Brain-Computer Interfaces
Marcos Fabietti, Mufti Mahmud, Ahmad Lotfi
2022 International Joint Conference on Neural Networks (IJCNN) (2021), pp. 1-8
Closed Access | Times Cited: 5
Computational Intelligence in Detection and Support of Autism Spectrum Disorder
Sabbir Ahmed, Silvia Binte Nur, Md. Farhad Hossain, et al.
Brain informatics and health (2022), pp. 179-197
Open Access | Times Cited: 3
Identification of Crown and Rump in First-Trimester Ultrasound Images Using Deep Convolutional Neural Network
Samuel Sutton, Mufti Mahmud, Rishi Kumar Singh, et al.
Communications in computer and information science (2022), pp. 231-247
Closed Access | Times Cited: 3
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
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