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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 pilots’ mental states using a multimodal deep learning network
Soo-Yeon Han, No-Sang Kwak, Taegeun Oh, et al.
Journal of Applied Biomedicine (2019) Vol. 40, Iss. 1, pp. 324-336
Closed Access | Times Cited: 73

Showing 26-50 of 73 citing articles:

A Systematic Review of Sensing and Differentiating Dichotomous Emotional States Using Audio-Visual Stimuli
Yedukondala Rao Veeranki, Himanshu Kumar, Nagarajan Ganapathy, et al.
IEEE Access (2021) Vol. 9, pp. 124434-124451
Open Access | Times Cited: 15
Decoding working memory-related information from repeated psychophysiological EEG experiments using convolutional and contrastive neural networks
Jarosław Żygierewicz, Romuald A. Janik, Igor T. Podolak, et al.
Journal of Neural Engineering (2022) Vol. 19, Iss. 4, pp. 046053-046053
Open Access | Times Cited: 11
Applications of deep learning methods in digital biomarker research using noninvasive sensing data
Hoyeon Jeong, Yong Whi Jeong, Yeonjae Park, et al.
Digital Health (2022) Vol. 8, pp. 205520762211366-205520762211366
Open Access | Times Cited: 11
EEG-Based Mental Workload Classification Method Based on Hybrid Deep Learning Model Under IoT
Shiliang Shao, Guangjie Han, Ting Wang, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 5, pp. 2536-2546
Closed Access | Times Cited: 6
Illuminating the Neural Landscape of Pilot Mental States: A Convolutional Neural Network Approach with Shapley Additive Explanations Interpretability
Ibrahim Alreshidi, Desmond Bala Bisandu, Irene Moulitsas
Sensors (2023) Vol. 23, Iss. 22, pp. 9052-9052
Open Access | Times Cited: 5
Drivers’ Mental Engagement Analysis Using Multi-Sensor Fusion Approaches Based on Deep Convolutional Neural Networks
Taraneh Aminosharieh Najafi, Antonio Affanni, R. Rinaldo, et al.
Sensors (2023) Vol. 23, Iss. 17, pp. 7346-7346
Open Access | Times Cited: 4
Blink-Related Oscillations Provide Naturalistic Assessments of Brain Function and Cognitive Workload within Complex Real-World Multitasking Environments
Cleo Page, Careesa Chang Liu, Jed A. Meltzer, et al.
Sensors (2024) Vol. 24, Iss. 4, pp. 1082-1082
Open Access | Times Cited: 1
FedUSL: A Federated Annotation Method for Driving Fatigue Detection based on Multimodal Sensing Data
Songcan Yu, Qinglin Yang, Junbo Wang, et al.
ACM Transactions on Sensor Networks (2024)
Open Access | Times Cited: 1
A Real-time Assessment System for Cognitive Performances of Armored Vehicle Crews Based upon the Multi-source Information Fusion
Qingyang Huang, Mingyang Guo, Yuning Wei, et al.
International Journal of Human-Computer Interaction (2024), pp. 1-19
Closed Access | Times Cited: 1
Exploring Differential Entropy and Multifractal Cumulants for EEG-based Mental Workload Recognition
Yan Lü
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 5
Open Access | Times Cited: 1
A Multi-Source Fusion Approach for Driver Fatigue Detection Using Physiological Signals and Facial Image
Yong Peng, Hanwen Deng, Guoliang Xiang, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 11, pp. 16614-16624
Closed Access | Times Cited: 1
New oscillatory features of electrodermal activity signals evaluated in automated mental workload monitoring
Peyvand Ghaderyan, Rezvan Mirzaeian
Biomedical Signal Processing and Control (2024) Vol. 97, pp. 106679-106679
Closed Access | Times Cited: 1
Systematic Review of Experimental Paradigms and Deep Neural Networks for Electroencephalography-based Cognitive Workload Detection
Vishnu KN, Cota Navin Gupta
Progress in Biomedical Engineering (2024) Vol. 6, Iss. 4, pp. 042004-042004
Open Access | Times Cited: 1
Learner’s cognitive state recognition based on multimodal physiological signal fusion
Y. Li, Yue Li, Xiuling He, et al.
Applied Intelligence (2024) Vol. 55, Iss. 2
Closed Access | Times Cited: 1
Heart Rate Variability-Based Mental Stress Detection Using Deep Learning Approach
Ramyashri B. Ramteke, V. R. Thool
Advances in intelligent systems and computing (2021), pp. 51-61
Closed Access | Times Cited: 8
A Comprehensive Analysis of Machine Learning and Deep Learning Models for Identifying Pilots’ Mental States from Imbalanced Physiological Data
Ibrahim Alreshidi, Satendra Kumar Yadav, Irene Moulitsas, et al.
AIAA Aviation 2019 Forum (2023)
Open Access | Times Cited: 3
Evaluating aircraft cockpit emotion through a neural network approach
Yanhao Chen, Suihuai Yu, Jianjie Chu, et al.
Artificial intelligence for engineering design analysis and manufacturing (2020) Vol. 35, Iss. 1, pp. 81-98
Closed Access | Times Cited: 7
On the Improvement of Eye Tracking-Based Cognitive Workload Estimation Using Aggregation Functions
Monika Kaczorowska, Paweł Karczmarek, Małgorzata Plechawska–Wójcik, et al.
Sensors (2021) Vol. 21, Iss. 13, pp. 4542-4542
Open Access | Times Cited: 7
Study of Cognitive Fatigue using EEG Entropy Analysis
Anwesha Sengupta
(2020), pp. 1-6
Closed Access | Times Cited: 6
Hidden Markov model-based heartbeat detector using electrocardiogram and arterial pressure signals
Miguel Altuve, Nelson F. Monroy
Biomedical Engineering Letters (2021) Vol. 11, Iss. 3, pp. 249-261
Open Access | Times Cited: 4
Cross-session Classification of Mental Workload Levels using Recurrent Neural Networks
Kartikey Vishnu, Srihari Madhavan, Cota Navin Gupta
2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2022)
Closed Access | Times Cited: 3
Improved Concentrated Mental State Classification Through EEG Signal Augmentation and One-Dimensional Convolutional Neural Network
Mitul Kumar Ahirwal, Sauhard Pareek, Samyak Mehta
Lecture notes in electrical engineering (2024), pp. 371-380
Closed Access
EEG Dataset Collection for Mental Workload Predictions in Flight-Deck Environment
Aura Hernández-Sabaté, José Yauri, Pau Folch, et al.
Sensors (2024) Vol. 24, Iss. 4, pp. 1174-1174
Open Access
Existing Approaches & A Proposal to Content Analysis of Pilots' Speech Activities
Diana Bogdanova, Azamat Giniiatullin, Jaspreet Singh Batth
(2024), pp. 703-708
Closed Access
Level of Pilot Fear on Maneuvering based Brain Wave Using Naïve Bayes Method
Arjon Turnip, Ezra Fachry Athalla, Daniel Dewantoro Rumani, et al.
(2024), pp. 1-6
Closed Access

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