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:

A fresh look at functional link neural network for motor imagery-based brain–computer interface
Imali Hettiarachchi, Toktam Babaei, Thanh Thi Nguyen, et al.
Journal of Neuroscience Methods (2018) Vol. 305, pp. 28-35
Closed Access | Times Cited: 19

Showing 19 citing articles:

Physical principles of brain–computer interfaces and their applications for rehabilitation, robotics and control of human brain states
Alexander E. Hramov, Vladimir Maksimenko, Alexander N. Pisarchik
Physics Reports (2021) Vol. 918, pp. 1-133
Closed Access | Times Cited: 150

A survey on robots controlled by motor imagery brain-computer interfaces
Jincai Zhang, Mei Wang
Cognitive Robotics (2021) Vol. 1, pp. 12-24
Open Access | Times Cited: 46

The classification of motor imagery response: an accuracy enhancement through the ensemble of random subspace k-NN
Mamunur Rashid, Bifta Sama Bari, Md Jahid Hasan, et al.
PeerJ Computer Science (2021) Vol. 7, pp. e374-e374
Open Access | Times Cited: 39

A novel method for classification of multi-class motor imagery tasks based on feature fusion
Yimin Hou, Tao Chen, Xiangmin Lun, et al.
Neuroscience Research (2021) Vol. 176, pp. 40-48
Closed Access | Times Cited: 32

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

Diagonal loading common spatial patterns with Pearson correlation coefficient based feature selection for efficient motor imagery classification
Hanaa S. Ali, Asmaa I. Ismail, El‐Sayed M. El‐Rabaie, et al.
Computer Methods in Biomechanics & Biomedical Engineering (2025), pp. 1-15
Closed Access

A novel classification strategy of motor imagery EEG signals utilizing WT-PSR-SVD-based MTSVM
Sheng-wei Fei, You-bing Chu
Expert Systems with Applications (2022) Vol. 199, pp. 116901-116901
Closed Access | Times Cited: 17

Metaverse for Brain Computer Interface: Towards New and Improved Applications
Sara Abdelghafar, Dalia Ezzat, Ashraf Darwish, et al.
Studies in big data (2023), pp. 43-58
Closed Access | Times Cited: 8

Review of Closed-Loop Brain–Machine Interface Systems From a Control Perspective
Hongguang Pan, Haoqian Song, Qi Zhang, et al.
IEEE Transactions on Human-Machine Systems (2022) Vol. 52, Iss. 5, pp. 877-893
Closed Access | Times Cited: 13

A comprehensive review of the movement imaginary brain-computer interface methods: Challenges and future directions
Sadaf Khademi, Mehrnoosh Neghabi, Morteza Farahi, et al.
Elsevier eBooks (2022), pp. 23-74
Closed Access | Times Cited: 10

Towards More Accessible Physiological Data for Assessment of Cognitive Load - A Validation Study
Imali Hettiarachchi, Samer Hanoun, Darius Nahavandi, et al.
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (2018), pp. 3045-3050
Closed Access | Times Cited: 12

Individual and Mutual Feature Processed ELM Model for EEG Signal Based Brain Activity Classification
Kapil Juneja, Chhavi Rana
Wireless Personal Communications (2019) Vol. 108, Iss. 2, pp. 659-681
Closed Access | Times Cited: 9

Motor Imagery-based Brain-Computer Interface: Neural Network Approach
Д. М. Лазуренко, V. N. Kiroy, I. E. Shepelev, et al.
Optical Memory and Neural Networks (2019) Vol. 28, Iss. 2, pp. 109-117
Closed Access | Times Cited: 9

Evaluation of Classification Techniques for Identifying Cognitive Load Levels using EEG Signals
Syed Moshfeq Salaken, Imali Hettiarachchi, Luke Crameri, et al.
2022 IEEE International Systems Conference (SysCon) (2020), pp. 1-8
Closed Access | Times Cited: 7

Auxiliary controller design and performance comparative analysis in closed-loop brain–machine interface system
Hongguang Pan, Haoqian Song, Qi Zhang, et al.
Biological Cybernetics (2021) Vol. 116, Iss. 1, pp. 23-32
Closed Access | Times Cited: 2

Deep Learning in Motor Imagery Eeg Signal Decoding: A Systematic Review
Aurora Saibene, Hafez Ghaemi, Eda Dağdevır
(2023)
Closed Access

Research on Classification Algorithm of Self-Made Data Set of Motor Imagination EEG Based on Convolutional Network
辰玥 蔡
Artificial Intelligence and Robotics Research (2021) Vol. 10, Iss. 01, pp. 1-8
Closed Access

Deleted Work

(1955)
Closed Access

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