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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:

Classification of Hemodynamic Responses Associated With Force and Speed Imagery for a Brain-Computer Interface
Xuxian Yin, Baolei Xu, Changhao Jiang, et al.
Journal of Medical Systems (2015) Vol. 39, Iss. 5
Closed Access | Times Cited: 21

Showing 21 citing articles:

Hybrid Brain–Computer Interface Techniques for Improved Classification Accuracy and Increased Number of Commands: A Review
Keum‐Shik Hong, Muhammad Jawad Khan
Frontiers in Neurorobotics (2017) Vol. 11
Open Access | Times Cited: 237
Feature Extraction and Classification Methods for Hybrid fNIRS-EEG Brain-Computer Interfaces
Keum‐Shik Hong, Muhammad Jawad Khan, Melissa Jiyoun Hong
Frontiers in Human Neuroscience (2018) Vol. 12
Open Access | Times Cited: 235
Comparison of Brain Activation during Motor Imagery and Motor Movement Using fNIRS
Alyssa M. Batula, Jesse Mark, Youngmoo E. Kim, et al.
Computational Intelligence and Neuroscience (2017) Vol. 2017, pp. 1-12
Open Access | Times Cited: 134
Convolutional neural network for high-accuracy functional near-infrared spectroscopy in a brain–computer interface: three-class classification of rest, right-, and left-hand motor execution
Thanawin Trakoolwilaiwan, Bahareh Behboodi, Jaeseok Lee, et al.
Neurophotonics (2017) Vol. 5, Iss. 01, pp. 1-1
Open Access | Times Cited: 105
Existence of Initial Dip for BCI: An Illusion or Reality
Keum‐Shik Hong, Amad Zafar
Frontiers in Neurorobotics (2018) Vol. 12
Open Access | Times Cited: 70
Brain–machine interfaces using functional near-infrared spectroscopy: a review
Keum‐Shik Hong, Usman Ghafoor, Muhammad Jawad Khan
Artificial Life and Robotics (2020) Vol. 25, Iss. 2, pp. 204-218
Closed Access | Times Cited: 53
Virtual and Actual Humanoid Robot Control with Four-Class Motor-Imagery-Based Optical Brain-Computer Interface
Alyssa M. Batula, Youngmoo E. Kim, Hasan Ayaz
BioMed Research International (2017) Vol. 2017, pp. 1-13
Open Access | Times Cited: 39
Independent Decision Path Fusion for Bimodal Asynchronous Brain–Computer Interface to Discriminate Multiclass Mental States
Xinyu Jiang, Xiao Gu, Ke Xu, et al.
IEEE Access (2019) Vol. 7, pp. 165303-165317
Open Access | Times Cited: 26
Pilot Study on Gait Classification Using fNIRS Signals
Hedian Jin, Chunguang Li, Jiacheng Xu
Computational Intelligence and Neuroscience (2018) Vol. 2018, pp. 1-9
Open Access | Times Cited: 12
Symbolic time series analysis of fNIRS signals in brain development assessment
Zhenhu Liang, Yasuyo Minagawa, Ho-Ching Yang, et al.
Journal of Neural Engineering (2018) Vol. 15, Iss. 6, pp. 066013-066013
Open Access | Times Cited: 9
Classifying Motion Intention of Step Length and Synchronous Walking Speed by Functional Near-Infrared Spectroscopy
Yufei Zhu, Chunguang Li, Hedian Jin, et al.
Cyborg and Bionic Systems (2021) Vol. 2021
Open Access | Times Cited: 8
Multi-class fNIRS Classification of Motor Execution Tasks with Application to Brain-Computer Interfaces
Foroogh Shamsi, Laleh Najafizadeh
Springer eBooks (2021), pp. 1-32
Closed Access | Times Cited: 6
Classification of desired motion speed-based on cerebral hemoglobin information
Yanxiang Sui, Chunguang Li, Juan Li, et al.
2022 IEEE/SICE International Symposium on System Integration (SII) (2016), pp. 320-324
Closed Access | Times Cited: 4
Neuroergonomic Applications in Information Visualization
Joseph Nuamah, Ranjana K. Mehta
Cognitive science and technology (2020), pp. 435-449
Closed Access | Times Cited: 4
To Identify Motion Pattern of Lower Limbs by Using Cerebral Hemoglobin Information during Motor Imagery
Chunguang Li, Jiacheng Xu, Shaolong Kuang, et al.
(2017), pp. 84-88
Closed Access | Times Cited: 3
A Pilot Study Based on Cerebral Hemoglobin Information to Classify the Desired Walking Speed
Jiacheng Xu, Chunguang Li, Hongmiao Zhang, et al.
IEEE Robotics and Automation Letters (2017) Vol. 3, Iss. 1, pp. 532-536
Closed Access | Times Cited: 2
Comparison of Classification Accuracies Between Different Brain Areas During a Two-Class Motor Imagery in a fNIRS Based BCI
Amir H. Moslehi, T. Claire Davies
(2021), pp. 702-705
Closed Access | Times Cited: 1
Developing an Auditory Hybrid Brain-computer Interface Based on Near-infrared Spectroscopy and Electroencephalography
Stefanie Glowinsky
(2016)
Closed Access
Classification of Desired Motion Force Based On Cerebral Hemoglobin Information*
Yanxiang Sui, Chunguang Li, Hong-Miao Zhang, et al.
ITM Web of Conferences (2017) Vol. 12, pp. 05005-05005
Open Access
Classification of desired motion speed — A study based on cerebral hemoglobin information
Jiacheng Xu, Chunguang Li, Juan Li, et al.
(2017), pp. 115-119
Closed Access
COMBINING ELECTROENCEPHALOGRAPHY AND FUNCTIONAL NEAR INFRARED SPECTROSCOPY TO IMPROVE ACCURACIES IN INTERPRETING INTENT DURING MOTOR IMAGERY TASKS FOR USE IN BRAIN COMPUTER INTERFACES
Amir H. Moslehi
(2021)
Closed Access
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