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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:

Enhancement of SSVEPs Classification in BCI-Based Wearable Instrumentation Through Machine Learning Techniques
Andrea Apicella, Pasquale Arpaïa, Egidio De Benedetto, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 9, pp. 9087-9094
Closed Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

Impact of Nutritional Factors in Blood Glucose Prediction in Type 1 Diabetes Through Machine Learning
Giovanni Annuzzi, Andrea Apicella, Pasquale Arpaïa, et al.
IEEE Access (2023) Vol. 11, pp. 17104-17115
Open Access | Times Cited: 21
Wearable Brain–Computer Interfaces Based on Steady-State Visually Evoked Potentials and Augmented Reality: A Review
Leopoldo Angrisani, Pasquale Arpaïa, Egidio De Benedetto, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 15, pp. 16501-16514
Open Access | Times Cited: 20
A Segmentation-Denoising Network for Artifact Removal From Single-Channel EEG
Y.Z. Li, Aiping Liu, Yin Jin, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 13, pp. 15115-15127
Closed Access | Times Cited: 13
Employment of Domain Adaptation Techniques in SSVEP-Based Brain–Computer Interfaces
Andrea Apicella, Pasquale Arpaïa, Egidio De Benedetto, et al.
IEEE Access (2023) Vol. 11, pp. 36147-36157
Open Access | Times Cited: 12
Design of a Wearable EEG Signal Acquisition System for Brain-Computer Interaction
Fei Fei, Yiqi Wu, Ruonan Yang, et al.
Lecture notes in computer science (2025), pp. 373-387
Closed Access
Fusion analysis of EEG-fNIRS multimodal brain signals: a multitask classification algorithm incorporating spatial-temporal convolution and dual attention mechanisms
Xingbin Shi, Haiyan Wang, Baojiang Li, et al.
IEEE Transactions on Instrumentation and Measurement (2025) Vol. 74, pp. 1-12
Closed Access
Performance and Usability Evaluation of an Extended Reality Platform to Monitor Patient’s Health during Surgical Procedures
Pasquale Arpaïa, Egidio De Benedetto, Lucio Tommaso De Paolis, et al.
Sensors (2022) Vol. 22, Iss. 10, pp. 3908-3908
Open Access | Times Cited: 19
Dynamical Differential Covariance Based Brain Network for Motor Intent Recognition
Rongrong Fu, Yushan Du, Shiwei Wang, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 5, pp. 6515-6522
Closed Access | Times Cited: 3
A Method for Optimizing the Artifact Subspace Reconstruction Performance in Low-Density EEG
Andrea Cataldo, Sabatina Criscuolo, Egidio De Benedetto, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 21, pp. 21257-21265
Open Access | Times Cited: 15
Control of the robotic arm system with an SSVEP-based BCI
Rongrong Fu, Xiaolei Feng, Shiwei Wang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 5, pp. 055702-055702
Open Access | Times Cited: 2
A comprehensive review of deep learning power in steady-state visual evoked potentials
Z.T. Al-Qaysi, A. S. Albahri, M. A. Ahmed, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 27, pp. 16683-16706
Closed Access | Times Cited: 2
Predicting and monitoring blood glucose through nutritional factors in type 1 diabetes by artificial neural networks
Giovanni Annuzzi, Lutgarda Bozzetto, Andrea Cataldo, et al.
ACTA IMEKO (2023) Vol. 12, Iss. 2, pp. 1-7
Open Access | Times Cited: 4
Decoding Subject-Driven Cognitive States from EEG Signals for Cognitive Brain–Computer Interface
Dingyong Huang, Yingjie Wang, Liangwei Fan, et al.
Brain Sciences (2024) Vol. 14, Iss. 5, pp. 498-498
Open Access | Times Cited: 1
Interpreting the latent space of a Convolutional Variational Autoencoder for semi-automated eye blink artefact detection in EEG signals
Sabatina Criscuolo, Andrea Apicella, Roberto Prevete, et al.
Computer Standards & Interfaces (2024) Vol. 92, pp. 103897-103897
Open Access | Times Cited: 1
Integration of artificial intelligence with a customized Four-Probe station for I-V characteristic classification and prediction
Sameh O. Abdellatif, Ahmed A. Ghanem, Ahmat Abdel Wahid, et al.
Measurement (2024) Vol. 241, pp. 115676-115676
Closed Access | Times Cited: 1
FB-CCNN: A Filter Bank Complex Spectrum Convolutional Neural Network with Artificial Gradient Descent Optimization
Dongcen Xu, Fengzhen Tang, Yiping Li, et al.
Brain Sciences (2023) Vol. 13, Iss. 5, pp. 780-780
Open Access | Times Cited: 4
A new dataset of satellite images for deep learning-based coastline measurement
Marco Scarpetta, Maurizio Spadavecchia, Vito Ivano D’Alessandro, et al.
2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) (2022), pp. 635-640
Closed Access | Times Cited: 5
Evaluation of the Effectiveness of a Wearable, AR-based BCI for Robot Control in ADHD Treatment
Pasquale Arpaïa, Sabatina Criscuolo, Egidio De Benedetto, et al.
2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) (2022)
Closed Access | Times Cited: 4
Explainable AI based wearable electronic optical data analysis with quantum photonics and quadrature amplitude neural computing
Prashant Kumar, Neeraj Sharma, T. Ganesh Kumar, et al.
Optical and Quantum Electronics (2023) Vol. 55, Iss. 9
Closed Access | Times Cited: 2
Low-Density EEG Correction With Multivariate Decomposition and Subspace Reconstruction
Pasquale Arpaïa, Antonio Espósito, Angela Natalizio, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 19, pp. 23621-23628
Open Access | Times Cited: 2
Reproducible Assessment of Valence and Arousal Based on an EEG Wearable Device
Andrea Apicella, Pasquale Arpaïa, Andrea Cataldo, et al.
2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) (2022) Vol. 25, pp. 661-666
Closed Access | Times Cited: 3
Interpreting the Latent Space of a Convolutional Variational Autoencoder for Fully Automated Eye Blink Artefact Detection in Eeg Signals
Sabatina Criscuolo, Roberto Prevete, Andrea Apicella, et al.
(2024)
Closed Access
Optimizing user experience in SSVEP-BCI systems
Chih-Tsung Chang, Kai-Jun Pai, Chun-Hui Huang, et al.
Progress in brain research (2024), pp. 105-121
Closed Access
The use of CNNs in VR/AR/MR/XR: a systematic literature review
David Cortes, Belén G. Bermejo, Carlos Juiz
Virtual Reality (2024) Vol. 28, Iss. 3
Open Access
Connecting the Brain with Augmented Reality: A Systematic Review of BCI-AR Systems
Georgios Prapas, Pantelis Angelidis, Panagiotis Sarigiannidis, et al.
Applied Sciences (2024) Vol. 14, Iss. 21, pp. 9855-9855
Open Access
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