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:

MI-BMInet: An Efficient Convolutional Neural Network for Motor Imagery Brain–Machine Interfaces With EEG Channel Selection
Xiaying Wang, Michael Hersche, Michele Magno, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 6, pp. 8835-8847
Open Access | Times Cited: 17

Showing 17 citing articles:

ALGGNet: An Adaptive Local-Global-Graph Representation Network for Brain-Computer Interfaces
Wenlong Wang, Baojiang Li, Xiuyun Liu, et al.
Knowledge-Based Systems (2025), pp. 113096-113096
Closed Access

EEG Signal Processing Techniques and Applications—2nd Edition
Hua‐Liang Wei, Yuzhu Guo, Fei He, et al.
Sensors (2025) Vol. 25, Iss. 3, pp. 805-805
Open Access

LGL-BCI: A Motor-Imagery-Based Brain-Computer Interface with Geometric Learning
Jianchao Lu, Yuzhe Tian, Yang Zhang, et al.
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (2025) Vol. 9, Iss. 1, pp. 1-28
Open Access

Multiclass Classification of Visual Electroencephalogram Based on Channel Selection, Minimum Norm Estimation Algorithm, and Deep Network Architectures
Tat’y Mwata-Velu, Erik Zamora, Juan Irving Vasquez-Gomez, et al.
Sensors (2024) Vol. 24, Iss. 12, pp. 3968-3968
Open Access | Times Cited: 1

CS-Net: An End-to-end Network for Motor Imagery Brain-Machine Interface with Adaptive Channel Selection and Compressed Sensing
Jie Lu, Guanghan Yu, Liyu Qian, et al.
(2024), pp. 582-586
Closed Access | Times Cited: 1

A zero precision loss framework for EEG channel selection: enhancing efficiency and maintaining interpretability
Lu Wang, Junkongshuai Wang, Haolong Su, et al.
Computer Methods in Biomechanics & Biomedical Engineering (2024), pp. 1-16
Closed Access | Times Cited: 1

An Efficient Model-Compressed EEGNet Accelerator for Generalized Brain-Computer Interfaces With Near Sensor Intelligence
Lichen Feng, Hongwei Shan, Yueqi Zhang, et al.
IEEE Transactions on Biomedical Circuits and Systems (2022) Vol. 16, Iss. 6, pp. 1239-1249
Closed Access | Times Cited: 6

An Efficient RTL Design for a Wearable Brain–Computer Interface
Tahereh Vasei, Mohammad Ali Saber, Alireza Nahvy, et al.
IET Computers & Digital Techniques (2024) Vol. 2024, pp. 1-15
Open Access

Design and application of pneumatic rehabilitation glove system based on brain–computer interface
Cheng Chen, Yize Song, Dingding Chen, et al.
Review of Scientific Instruments (2024) Vol. 95, Iss. 9
Closed Access

A brief survey on human activity recognition using motor imagery of EEG signals
Seema Pankaj Mahalungkar, Rahul Shrivastava, Sanjeevkumar Angadi
Electromagnetic Biology and Medicine (2024), pp. 1-16
Closed Access

EEG Motor imagery classification based on a ConvLSTM Autoencoder framework augmented by attention BiLSTM
Sayeh Mirzaei, Parisa Ghasemi, Mohammadreza Bakhtyari
Multimedia Tools and Applications (2024)
Closed Access

Enhancing Performance, Calibration Time and Efficiency in Brain-Machine Interfaces through Transfer Learning and Wearable EEG Technology
Xiaying Wang, Lan Mei, Victor Kartsch, et al.
2022 IEEE Biomedical Circuits and Systems Conference (BioCAS) (2023) Vol. 20, pp. 1-5
Open Access

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