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:

Enhanced Accuracy for Multiclass Mental Workload Detection Using Long Short-Term Memory for Brain–Computer Interface
Umer Asgher, Khurram Khalil, Muhammad Jawad Khan, et al.
Frontiers in Neuroscience (2020) Vol. 14
Open Access | Times Cited: 74

Showing 1-25 of 74 citing articles:

Lower limb exoskeleton robot and its cooperative control: A review, trends, and challenges for future research
Gilbert Masengo, Xiaodong Zhang, Runlin Dong, et al.
Frontiers in Neurorobotics (2023) Vol. 16
Open Access | Times Cited: 45

A systematic review on hybrid EEG/fNIRS in brain-computer interface
Ziming Liu, Jeremy Shore, Miao Wang, et al.
Biomedical Signal Processing and Control (2021) Vol. 68, pp. 102595-102595
Closed Access | Times Cited: 90

Deep learning in fNIRS: a review
Condell Eastmond, Aseem Subedi, Suvranu De, et al.
Neurophotonics (2022) Vol. 9, Iss. 04
Open Access | Times Cited: 67

An Evaluation of the EEG Alpha-to-Theta and Theta-to-Alpha Band Ratios as Indexes of Mental Workload
Bujar Raufi, Luca Longo
Frontiers in Neuroinformatics (2022) Vol. 16
Open Access | Times Cited: 50

Transformer Model for Functional Near-Infrared Spectroscopy Classification
Zenghui Wang, Jun Zhang, Xiaochu Zhang, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 6, pp. 2559-2569
Closed Access | Times Cited: 45

Analyzing Classification Performance of fNIRS-BCI for Gait Rehabilitation Using Deep Neural Networks
Huma Hamid, Noman Naseer, Hammad Nazeer, et al.
Sensors (2022) Vol. 22, Iss. 5, pp. 1932-1932
Open Access | Times Cited: 39

Implementation of artificial intelligence and machine learning-based methods in brain–computer interaction
Katerina Barnova, Martina Mikolasova, Radana Kahánková, et al.
Computers in Biology and Medicine (2023) Vol. 163, pp. 107135-107135
Open Access | Times Cited: 23

Improved dilation CapsuleNet for motor imagery and mental arithmetic classification based on fNIRS
Yu Li, Tao Xu, Junhua Li, et al.
Brain-Apparatus Communication A Journal of Bacomics (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 9

Basic of machine learning and deep learning in imaging for medical physicists
Luigi Manco, N. Maffei, Silvia Strolin, et al.
Physica Medica (2021) Vol. 83, pp. 194-205
Closed Access | Times Cited: 50

Application of artificial intelligence in cognitive load analysis using functional near-infrared spectroscopy: A systematic review
Mehshan Ahmed Khan, Houshyar Asadi, Zhang Li, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123717-123717
Open Access | Times Cited: 6

Novel fNIRS study on homogeneous symmetric feature-based transfer learning for brain–computer interface
Khurram Khalil, Umer Asgher, Yasar Ayaz
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 27

EEG-fNIRS-based hybrid image construction and classification using CNN-LSTM
Nabeeha Ehsan Mughal, Muhammad Jawad Khan, Khurram Khalil, et al.
Frontiers in Neurorobotics (2022) Vol. 16
Open Access | Times Cited: 27

Brain augmentation and neuroscience technologies: current applications, challenges, ethics and future prospects
Nitish Singh Jangwan, Ghulam Md Ashraf, Veerma Ram, et al.
Frontiers in Systems Neuroscience (2022) Vol. 16
Open Access | Times Cited: 22

Rethinking Delayed Hemodynamic Responses for fNIRS Classification
Zenghui Wang, Jihong Fang, Jun Zhang
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 4528-4538
Open Access | Times Cited: 15

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

IVCAN: An improved visual curve attention network for fNIRS-Based motor imagery/execution classification
Yu Li, Shuran Li, Zhiwen Yuan, et al.
Biomedical Signal Processing and Control (2025) Vol. 104, pp. 107679-107679
Closed Access

Motor Imagery Classification Using fNIRS Brain Signals: A Method Based on Synthetic Data Augmentation and Cosine‐Modulated Attention
Cheng Peng, Baojiang Li, Haiyan Wang, et al.
Computational Intelligence (2025) Vol. 41, Iss. 2
Closed Access

Training Monitoring in Sports: It Is Time to Embrace Cognitive Demand
Stéphane Perrey
Sports (2022) Vol. 10, Iss. 4, pp. 56-56
Open Access | Times Cited: 20

Cognitive workload estimation using physiological measures: a review
Debashis Das Chakladar, Partha Pratim Roy
Cognitive Neurodynamics (2023) Vol. 18, Iss. 4, pp. 1445-1465
Closed Access | Times Cited: 12

CGAN-rIRN: a data-augmented deep learning approach to accurate classification of mental tasks for a fNIRS-based brain-computer interface
Yao Zhang, Dongyuan Liu, Tieni Li, et al.
Biomedical Optics Express (2023) Vol. 14, Iss. 6, pp. 2934-2934
Open Access | Times Cited: 11

Improving classification performance of four class FNIRS-BCI using Mel Frequency Cepstral Coefficients (MFCC)
Muhammad Saad Bin Abdul Ghaffar, Umar Shahbaz Khan, Javaid Iqbal, et al.
Infrared Physics & Technology (2020) Vol. 112, pp. 103589-103589
Closed Access | Times Cited: 31

Optimized electroencephalogram and functional near-infrared spectroscopy-based mental workload detection method for practical applications
Hongzuo Chu, Yong Cao, Jin Jiang, et al.
BioMedical Engineering OnLine (2022) Vol. 21, Iss. 1
Open Access | Times Cited: 17

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