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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:

Noninvasive Electroencephalogram Based Control of a Robotic Arm for Reach and Grasp Tasks
Jianjun Meng, Shuying Zhang, Angeliki Bekyo, et al.
Scientific Reports (2016) Vol. 6, Iss. 1
Open Access | Times Cited: 421

Showing 1-25 of 421 citing articles:

A review of classification algorithms for EEG-based brain–computer interfaces: a 10 year update
Fabien Lotte, Laurent Bougrain, Andrzej Cichocki, et al.
Journal of Neural Engineering (2018) Vol. 15, Iss. 3, pp. 031005-031005
Open Access | Times Cited: 1707
A comprehensive review of EEG-based brain–computer interface paradigms
Reza Abiri, Soheil Borhani, Eric W. Sellers, et al.
Journal of Neural Engineering (2018) Vol. 16, Iss. 1, pp. 011001-011001
Closed Access | Times Cited: 753
Subject-Independent Brain–Computer Interfaces Based on Deep Convolutional Neural Networks
Oyeon Kwon, Min-Ho Lee, Cuntai Guan, et al.
IEEE Transactions on Neural Networks and Learning Systems (2019) Vol. 31, Iss. 10, pp. 3839-3852
Open Access | Times Cited: 303
Noninvasive neuroimaging enhances continuous neural tracking for robotic device control
Bradley J. Edelman, Jianjun Meng, Daniel Suma, et al.
Science Robotics (2019) Vol. 4, Iss. 31
Open Access | Times Cited: 302
HS-CNN: a CNN with hybrid convolution scale for EEG motor imagery classification
Guanghai Dai, Jun Zhou, Jiahui Huang, et al.
Journal of Neural Engineering (2019) Vol. 17, Iss. 1, pp. 016025-016025
Closed Access | Times Cited: 266
Brain-Controlled Robotic Arm System Based on Multi-Directional CNN-BiLSTM Network Using EEG Signals
Ji-Hoon Jeong, Kyung-Hwan Shim, Dong‐Joo Kim, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2020) Vol. 28, Iss. 5, pp. 1226-1238
Closed Access | Times Cited: 242
A Brain–Computer Interface Based on Miniature-Event-Related Potentials Induced by Very Small Lateral Visual Stimuli
Minpeng Xu, Xiaolin Xiao, Yijun Wang, et al.
IEEE Transactions on Biomedical Engineering (2018) Vol. 65, Iss. 5, pp. 1166-1175
Closed Access | Times Cited: 201
Brain–machine interfaces for controlling lower-limb powered robotic systems
Yongtian He, David Eguren, José M. Azorín, et al.
Journal of Neural Engineering (2018) Vol. 15, Iss. 2, pp. 021004-021004
Open Access | Times Cited: 200
Functional Near Infrared Spectroscopy: Enabling routine functional brain imaging
Meryem A. Yücel, Juliette Selb, Theodore J. Huppert, et al.
Current Opinion in Biomedical Engineering (2017) Vol. 4, pp. 78-86
Open Access | Times Cited: 184
Validating Deep Neural Networks for Online Decoding of Motor Imagery Movements from EEG Signals
Zied Tayeb, Juri Fedjaev, Nejla Ghaboosi, et al.
Sensors (2019) Vol. 19, Iss. 1, pp. 210-210
Open Access | Times Cited: 182
Sparse Group Representation Model for Motor Imagery EEG Classification
Yong Jiao, Yu Zhang, Xun Chen, et al.
IEEE Journal of Biomedical and Health Informatics (2018) Vol. 23, Iss. 2, pp. 631-641
Closed Access | Times Cited: 176
Learning for a Robot: Deep Reinforcement Learning, Imitation Learning, Transfer Learning
Hua Jiang, Liangcai Zeng, Gongfa Li, et al.
Sensors (2021) Vol. 21, Iss. 4, pp. 1278-1278
Open Access | Times Cited: 161
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: 153
A Parallel Multiscale Filter Bank Convolutional Neural Networks for Motor Imagery EEG Classification
Hao Wu, Yi Niu, Fu Li, et al.
Frontiers in Neuroscience (2019) Vol. 13
Open Access | Times Cited: 146
Past, Present, and Future of EEG-Based BCI Applications
Kaido Värbu, Naveed Muhammad, Yar Muhammad
Sensors (2022) Vol. 22, Iss. 9, pp. 3331-3331
Open Access | Times Cited: 145
Emergence of MXene and MXene–Polymer Hybrid Membranes as Future‐ Environmental Remediation Strategies
Ajit Khosla, Sonu Sonu, Hafiz Taimoor Ahmed Awan, et al.
Advanced Science (2022) Vol. 9, Iss. 36
Open Access | Times Cited: 123
Mobile cognition: imaging the human brain in the ‘real world’
Matthias Stangl, Sabrina L. Maoz, Nanthia Suthana
Nature reviews. Neuroscience (2023) Vol. 24, Iss. 6, pp. 347-362
Open Access | Times Cited: 99
Cognitive neuroscience and robotics: Advancements and future research directions
Sichao Liu, Lihui Wang, Robert X. Gao
Robotics and Computer-Integrated Manufacturing (2023) Vol. 85, pp. 102610-102610
Open Access | Times Cited: 44
Large deformation, high energy density dielectric elastomer actuators: Principles, factors, optimization, applications, and prospects
Liang Yang, Hong Wang, Dongsheng Zhang, et al.
Chemical Engineering Journal (2024) Vol. 489, pp. 151402-151402
Closed Access | Times Cited: 20
Control of a 7-DOF Robotic Arm System With an SSVEP-Based BCI
Xiaogang Chen, Bing Zhao, Yijun Wang, et al.
International Journal of Neural Systems (2018) Vol. 28, Iss. 08, pp. 1850018-1850018
Closed Access | Times Cited: 144
Brain-Computer Interface Control in a Virtual Reality Environment and Applications for the Internet of Things
Christopher Coogan, Bin He
IEEE Access (2018) Vol. 6, pp. 10840-10849
Open Access | Times Cited: 138
A Survey on Unmanned Aerial Vehicle Remote Control Using Brain–Computer Interface
Amin Nourmohammadi, Mohammad Jafari, Thorsten O. Zander
IEEE Transactions on Human-Machine Systems (2018) Vol. 48, Iss. 4, pp. 337-348
Closed Access | Times Cited: 135
The Cybathlon BCI race: Successful longitudinal mutual learning with two tetraplegic users
Serafeim Perdikis, Luca Tonin, Sareh Saeedi, et al.
PLoS Biology (2018) Vol. 16, Iss. 5, pp. e2003787-e2003787
Open Access | Times Cited: 134
Attempted Arm and Hand Movements can be Decoded from Low-Frequency EEG from Persons with Spinal Cord Injury
Patrick Ofner, Andreas Schwarz, Joana Pereira, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 130
Combination of high-frequency SSVEP-based BCI and computer vision for controlling a robotic arm
Xiaogang Chen, Bing Zhao, Yijun Wang, et al.
Journal of Neural Engineering (2018) Vol. 16, Iss. 2, pp. 026012-026012
Closed Access | Times Cited: 126
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