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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:

Task-generic mental fatigue recognition based on neurophysiological signals and dynamical deep extreme learning machine
Zhong Yin, Jianhua Zhang
Neurocomputing (2018) Vol. 283, pp. 266-281
Closed Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review
Jianhua Zhang, Zhong Yin, Peng Chen, et al.
Information Fusion (2020) Vol. 59, pp. 103-126
Open Access | Times Cited: 559
Human emotion recognition from EEG-based brain–computer interface using machine learning: a comprehensive review
Essam H. Houssein, Asmaa Hammad, Abdelmgeid A. Ali
Neural Computing and Applications (2022) Vol. 34, Iss. 15, pp. 12527-12557
Open Access | Times Cited: 213
Learning Spatial–Spectral–Temporal EEG Features With Recurrent 3D Convolutional Neural Networks for Cross-Task Mental Workload Assessment
Pengbo Zhang, Xue Wang, Weihang Zhang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2018) Vol. 27, Iss. 1, pp. 31-42
Closed Access | Times Cited: 194
Non-iterative and Fast Deep Learning: Multilayer Extreme Learning Machines
Jie M. Zhang, Yanjiao Li, Wendong Xiao, et al.
Journal of the Franklin Institute (2020) Vol. 357, Iss. 13, pp. 8925-8955
Open Access | Times Cited: 162
Identification and classification of construction equipment operators' mental fatigue using wearable eye-tracking technology
Jue Li, Heng Li, Waleed Umer, et al.
Automation in Construction (2019) Vol. 109, pp. 103000-103000
Open Access | Times Cited: 144
Identifying mental fatigue of construction workers using EEG and deep learning
Yao Wang, Yuecheng Huang, Botao Gu, et al.
Automation in Construction (2023) Vol. 151, pp. 104887-104887
Closed Access | Times Cited: 64
Effects of physical fatigue on the induction of mental fatigue of construction workers: A pilot study based on a neurophysiological approach
Xuejiao Xing, Botao Zhong, Hanbin Luo, et al.
Automation in Construction (2020) Vol. 120, pp. 103381-103381
Open Access | Times Cited: 107
Applications of EEG indices for the quantification of human cognitive performance: A systematic review and bibliometric analysis
Lina Ismail, Waldemar Karwowski
PLoS ONE (2020) Vol. 15, Iss. 12, pp. e0242857-e0242857
Open Access | Times Cited: 87
Deep Learning in EEG: Advance of the Last Ten-Year Critical Period
Shu Gong, Kaibo Xing, Andrzej Cichocki, et al.
IEEE Transactions on Cognitive and Developmental Systems (2021) Vol. 14, Iss. 2, pp. 348-365
Open Access | Times Cited: 72
Application of tabular data synthesis using generative adversarial networks on machine learning-based multiaxial fatigue life prediction
GaoYuan He, Yongxiang Zhao, ChuLiang Yan
International Journal of Pressure Vessels and Piping (2022) Vol. 199, pp. 104779-104779
Closed Access | Times Cited: 38
Bibliometric Analysis of Affective Computing Researches during 1999~2018
Fu Guo, Fengxiang Li, Wei Lv, et al.
International Journal of Human-Computer Interaction (2019) Vol. 36, Iss. 9, pp. 801-814
Closed Access | Times Cited: 59
MENTAL WORKLOAD
Gabriella M. Hancock, Luca Longo, Mark S. Young, et al.
(2021), pp. 203-226
Closed Access | Times Cited: 41
An enhanced ensemble deep random vector functional link network for driver fatigue recognition
Ruilin Li, Ruobin Gao, Liqiang Yuan, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106237-106237
Open Access | Times Cited: 18
A multicomponent and neurophysiological intervention for the emotional and mental states of high-altitude construction workers
Xuejiao Xing, Heng Li, Jue Li, et al.
Automation in Construction (2019) Vol. 105, pp. 102836-102836
Closed Access | Times Cited: 47
Ultra Short-Term Wind Power Forecasting Based on Sparrow Search Algorithm Optimization Deep Extreme Learning Machine
Guoqing An, Ziyao Jiang, Libo Chen, et al.
Sustainability (2021) Vol. 13, Iss. 18, pp. 10453-10453
Open Access | Times Cited: 37
A Comprehensive Survey on Affective Computing: Challenges, Trends, Applications, and Future Directions
Sitara Afzal, H.A. Khan, Md. Jalil Piran, et al.
IEEE Access (2024) Vol. 12, pp. 96150-96168
Open Access | Times Cited: 5
Physiological-signal-based mental workload estimation via transfer dynamical autoencoders in a deep learning framework
Zhong Yin, Mengyuan Zhao, Wei Zhang, et al.
Neurocomputing (2019) Vol. 347, pp. 212-229
Open Access | Times Cited: 37
GKP Signal Processing Using Deep CNN and SVM for Tongue-Machine Interface
Kutlucan Görür, Mehmet Recep Bozkurt, M. Serdar Başçıl, et al.
Traitement du signal (2019) Vol. 36, Iss. 4, pp. 319-329
Open Access | Times Cited: 34
Generalisable machine learning models trained on heart rate variability data to predict mental fatigue
András Matuz, Dimitri van der Linden, Gergely Darnai, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 15
A spectral-ensemble deep random vector functional link network for passive brain–computer interface
Ruilin Li, Ruobin Gao, Ponnuthurai Nagaratnam Suganthan, et al.
Expert Systems with Applications (2023) Vol. 227, pp. 120279-120279
Open Access | Times Cited: 8
Design and Implementation of an EEG-Based Learning-Style Recognition Mechanism
Bingxue Zhang, Chengliang Chai, Zhong Yin, et al.
Brain Sciences (2021) Vol. 11, Iss. 5, pp. 613-613
Open Access | Times Cited: 18
Generic Mental Workload Measurement Using a Shared Spatial Map Network With Different EEG Channel Layouts
Zhong Yin, Jiehao Tang, Jing Zhang, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-13
Closed Access | Times Cited: 2
Identification of mental fatigue levels in a language understanding task based on multi-domain EEG features and an ensemble convolutional neural network
Chunhua Ye, Zhong Yin, Mengyuan Zhao, et al.
Biomedical Signal Processing and Control (2021) Vol. 72, pp. 103360-103360
Closed Access | Times Cited: 17
Feature recognition of motor imaging EEG signals based on deep learning
Tianwei Shi, Ling Ren, Wenhua Cui
Personal and Ubiquitous Computing (2019) Vol. 23, Iss. 3-4, pp. 499-510
Open Access | Times Cited: 14
Inter-subject cognitive workload estimation based on a cascade ensemble of multilayer autoencoders
Zhanpeng Zheng, Zhong Yin, Yongxiong Wang, et al.
Expert Systems with Applications (2022) Vol. 211, pp. 118694-118694
Closed Access | Times Cited: 8
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