Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 explainable machine learning approach for EEG-based brain-computer interface systems
Cosimo Ieracitano, Nadia Mammone, Amir Hussain, et al.
Neural Computing and Applications (2021) Vol. 34, Iss. 14, pp. 11347-11360
Closed Access | Times Cited: 91

Showing 1-25 of 91 citing articles:

Inverted bell-curve-based ensemble of deep learning models for detection of COVID-19 from chest X-rays
Ashis Kumar Paul, Arpan Basu, Mufti Mahmud, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 22, pp. 16113-16127
Open Access | Times Cited: 73
Quantum Machine Learning Architecture for COVID-19 Classification Based on Synthetic Data Generation Using Conditional Adversarial Neural Network
Javeria Amin, Muhammad Sharif, Nadia Gul, et al.
Cognitive Computation (2021) Vol. 14, Iss. 5, pp. 1677-1688
Open Access | Times Cited: 99
ACCU3RATE: A mobile health application rating scale based on user reviews
Milon Biswas, Marzia Hoque Tania, M. Shamim Kaiser, et al.
PLoS ONE (2021) Vol. 16, Iss. 12, pp. e0258050-e0258050
Open Access | Times Cited: 74
A Comparison of Deep Learning Techniques for Arterial Blood Pressure Prediction
Annunziata Paviglianiti, Vincenzo Randazzo, Stefano Villata, et al.
Cognitive Computation (2021) Vol. 14, Iss. 5, pp. 1689-1710
Open Access | Times Cited: 56
An analysis of explainability methods for convolutional neural networks
Lynn Vonder Haar, Timothy Elvira, Omar Ochoa
Engineering Applications of Artificial Intelligence (2022) Vol. 117, pp. 105606-105606
Closed Access | Times Cited: 51
An Edge-Fog Computing-Enabled Lossless EEG Data Compression With Epileptic Seizure Detection in IoMT Networks
Ali Kadhum Idrees, Sara Kadhum Idrees, Raphaël Couturier, et al.
IEEE Internet of Things Journal (2022) Vol. 9, Iss. 15, pp. 13327-13337
Open Access | Times Cited: 42
AutoEncoder Filter Bank Common Spatial Patterns to Decode Motor Imagery From EEG
Nadia Mammone, Cosimo Ieracitano, Hojjat Adeli, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 5, pp. 2365-2376
Closed Access | Times Cited: 38
Towards Risk-Free Trustworthy Artificial Intelligence: Significance and Requirements
Laith Alzubaidi, Aiman Al-Sabaawi, Jinshuai Bai, et al.
International Journal of Intelligent Systems (2023) Vol. 2023, pp. 1-41
Open Access | Times Cited: 38
Implementation of artificial intelligence and machine learning-based methods in brain–computer interaction
Katerina Barnova, Martina Mikolasova, Radana Kahánková, et al.
Computers in Biology and Medicine (2023) Vol. 163, pp. 107135-107135
Open Access | Times Cited: 25
A Review of the Role of Machine Learning Techniques towards Brain–Computer Interface Applications
Saim Rasheed
Machine Learning and Knowledge Extraction (2021) Vol. 3, Iss. 4, pp. 835-862
Open Access | Times Cited: 44
XAI4EEG: spectral and spatio-temporal explanation of deep learning-based seizure detection in EEG time series
Dominik Raab, Andreas Theissler, Myra Spiliopoulou
Neural Computing and Applications (2022) Vol. 35, Iss. 14, pp. 10051-10068
Open Access | Times Cited: 32
An efficient EEG signal classification technique for Brain–Computer Interface using hybrid Deep Learning
Kishore Medhi, Nazrul Hoque, Sushanta Kabir Dutta, et al.
Biomedical Signal Processing and Control (2022) Vol. 78, pp. 104005-104005
Closed Access | Times Cited: 25
Parallel genetic algorithm based common spatial patterns selection on time–frequency decomposed EEG signals for motor imagery brain-computer interface
Tian-jian Luo
Biomedical Signal Processing and Control (2022) Vol. 80, pp. 104397-104397
Closed Access | Times Cited: 25
Explainable artificial intelligence approaches for brain–computer interfaces: a review and design space
Param Rajpura, Hubert Cecotti, Yogesh Kumar Meena
Journal of Neural Engineering (2024) Vol. 21, Iss. 4, pp. 041003-041003
Open Access | Times Cited: 5
TIxAI: A Trustworthiness Index for eXplainable AI in skin lesions classification
Cosimo Ieracitano, Francesco Carlo Morabito, Amir Hussain, et al.
Neurocomputing (2025), pp. 129701-129701
Closed Access
Multimodal Fusion of Magnetoencephalography and Photoacoustic Imaging Based on Optical Pump: Trends for Wearable and Noninvasive Brain–Computer Interface
Chengpeng Chai, Xi Yang, Yuqiao Zheng, et al.
Biosensors and Bioelectronics (2025) Vol. 278, pp. 117321-117321
Closed Access
An Explainable Machine Learning Approach Based on Statistical Indexes and SVM for Stress Detection in Automobile Drivers Using Electromyographic Signals
Olivia Vargas-Lopez, Carlos A. Perez-Ramirez, Martin Valtierra‐Rodriguez, et al.
Sensors (2021) Vol. 21, Iss. 9, pp. 3155-3155
Open Access | Times Cited: 28
Permutation Entropy-Based Interpretability of Convolutional Neural Network Models for Interictal EEG Discrimination of Subjects with Epileptic Seizures vs. Psychogenic Non-Epileptic Seizures
Michele Lo Giudice, Giuseppe Varone, Cosimo Ieracitano, et al.
Entropy (2022) Vol. 24, Iss. 1, pp. 102-102
Open Access | Times Cited: 21
Predicting progression of Alzheimer’s disease using forward-to-backward bi-directional network with integrative imputation
Ngoc-Huynh Ho, Hyung-Jeong Yang, Jahae Kim, et al.
Neural Networks (2022) Vol. 150, pp. 422-439
Open Access | Times Cited: 21
Classification of BCI Multiclass Motor Imagery Task Based on Artificial Neural Network
Amira Echtioui, Wassim Zouch, Mohamed Ghorbel, et al.
Clinical EEG and Neuroscience (2023) Vol. 55, Iss. 4, pp. 455-464
Closed Access | Times Cited: 12
Unraveling motor imagery brain patterns using explainable artificial intelligence based on Shapley values
Sergio Pérez-Velasco, Diego Marcos-Martínez, Eduardo Santamaría-Vázquez, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 246, pp. 108048-108048
Open Access | Times Cited: 4
HiRENet: Novel convolutional neural network architecture using Hilbert-transformed and raw electroencephalogram (EEG) for subject-independent emotion classification
Min-Su Kim, Chang-Hwan Im
Computers in Biology and Medicine (2024) Vol. 178, pp. 108788-108788
Closed Access | Times Cited: 4
Deep learning in motor imagery EEG signal decoding: A Systematic Review
Aurora Saibene, Hafez Ghaemi, Eda Dağdevır
Neurocomputing (2024) Vol. 610, pp. 128577-128577
Closed Access | Times Cited: 4
Classification of motor imagery tasks in brain–computer interface using ensemble learning
Abdülhamit Subaşı, Saeed Mian Qaisar
Elsevier eBooks (2025), pp. 99-120
Closed Access
Introduction to brain–computer interface: research trends and applications
Saeed Mian Qaisar, Abdülhamit Subaşı
Elsevier eBooks (2025), pp. 1-20
Closed Access
Page 1 - Next Page

Scroll to top