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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:

Electroencephalogram-based mental workload prediction for using Augmented Reality head mounted display in construction assembly: A deep learning approach
Yimin Qin, Tanyel Bulbul
Automation in Construction (2023) Vol. 152, pp. 104892-104892
Closed Access | Times Cited: 21

Showing 21 citing articles:

EEG-based floor vibration serviceability evaluation using machine learning
Jiang Li, Weizhao Tang, Jiepeng Liu, et al.
Advanced Engineering Informatics (2025) Vol. 64, pp. 103089-103089
Closed Access | Times Cited: 1
Assessing the effect of construction noise frequency on mental workload of construction workers with varying task difficulty using EEG data
Samuel Oluwadamilare Olatunbosun, Francis Xavier Duorinaah, Chan-Hoon Haan, et al.
Applied Acoustics (2025) Vol. 232, pp. 110571-110571
Closed Access | Times Cited: 1
Extended Reality (XR) Training in the Construction Industry: A Content Review
Shixian Li, Qian-Cheng Wang, Hsi-Hsien Wei, et al.
Buildings (2024) Vol. 14, Iss. 2, pp. 414-414
Open Access | Times Cited: 6
Augmented reality technologies in construction project assembly phases
İlker Baki Alkan, Hasan Basri Başağa
Automation in Construction (2023) Vol. 156, pp. 105107-105107
Closed Access | Times Cited: 13
Predicting mental workload of using exoskeletons for construction work: a deep learning approach
Adedeji Afolabi, Anthony Yusuf, Abiola Akanmu
Journal of Information Technology in Construction (2025) Vol. 30, pp. 1-21
Open Access
Comprehensive Systematic Literature Review on Cognitive Workload: Trends on Methods, Technologies, and Case Studies
Andrea Lucchese, Antonio Padovano, Francesco Facchini
IET Collaborative Intelligent Manufacturing (2025) Vol. 7, Iss. 1
Open Access
Application of Intelligent Low‐Cost Accelerometers for Bridge Monitoring With a Deep Learning Approach
Seyyedbehrad Emadi, Seyedmilad Komarizadehasl, Ye Xia
Structural Control and Health Monitoring (2025) Vol. 2025, Iss. 1
Open Access
Human operators’ cognitive workload recognition with a dual attention-enabled multimodal fusion framework
Xiaoqing Yu, Haohan Yang, Chun‐Hsien Chen
Expert Systems with Applications (2025), pp. 127418-127418
Closed Access
Monitoring Construction Workers’ Mental Workload Due to Heat Exposure Using Heart Rate Variability and Eye Movement: A Study on Pipe Workers
Shiyi He, Dongxin Qi, Enkai Guo, et al.
Sensors (2025) Vol. 25, Iss. 8, pp. 2377-2377
Open Access
Electroencephalogram-based floor vibration serviceability evaluation using convolutional neural network and ensemble learning
Jiang Li, Xuhong Zhou, Jiepeng Liu, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 152, pp. 110806-110806
Closed Access
Assessment of construction workers' fall-from-height risk using multi-physiological data and virtual reality
Francis Xavier Duorinaah, Samuel Oluwadamilare Olatunbosun, Jeong-Hun Won, et al.
Automation in Construction (2025) Vol. 176, pp. 106254-106254
Closed Access
Biometric Evaluation and Immersive Construction Environments: A Research Overview of the Current Landscape, Challenges, and Future Prospects
Hao Chen, Zhao Dong, Isabelle Yee Shan Chan
Journal of Construction Engineering and Management (2025) Vol. 151, Iss. 7
Closed Access
Predicting Human Teammate's Workload
Mark-Robin Giolando, Julie A. Adams
(2024), pp. 492-496
Open Access | Times Cited: 2
Augmented reality in U.S. Construction: Trends and future directions
James Olaonipekun Toyin, Anoop Sattineni, Eric M. Wetzel, et al.
Automation in Construction (2024) Vol. 170, pp. 105895-105895
Closed Access | Times Cited: 2
Cognitive workload quantification for air traffic controllers: An ensemble semi-supervised learning approach
Xiaoqing Yu, Chun‐Hsien Chen, Haohan Yang
Advanced Engineering Informatics (2024) Vol. 64, pp. 103065-103065
Closed Access | Times Cited: 2
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
Prediction of Cognitive Load during Industry-Academia Collaboration via a Web Platform
Anthony Yusuf, Abiola Akanmu, Adedeji Afolabi, et al.
Proceedings e report (2023), pp. 57-68
Closed Access | Times Cited: 1
A Mobile Ar End-to-End Integrated Registration Method for Intelligent Assisted Assembly of Rail Transit Equipment
Jiu Yong, Jianguo Wei, mei xiao lei, et al.
(2024)
Closed Access
Vigilance recognition for construction workers using EEG and transfer learning
Zirui Li, Yantao Yu, Fenghua Tian, et al.
Advanced Engineering Informatics (2024) Vol. 64, pp. 103052-103052
Closed Access
Human Operators' Cognitive Workload Recognition with a Dual Attention-Enabled Multimodal Fusion Framework
Xiaoqing Yu, Haohan Yang, Chun‐Hsien Chen
(2023)
Closed Access
Predicting Mental Workload of Using Exoskeletons for Construction Work: A Deep Learning Approach
Abiola Akanmu, Adedeji Afolabi, Akinwale Okunola
Proceedings e report (2023), pp. 691-700
Closed Access
Prediction of Cognitive Load during Industry-Academia Collaboration via a Web Platform
Anthony Yusuf, Abiola Akanmu, Adedeji Afolabi, et al.
Proceedings e report (2023), pp. 57-68
Closed Access
Predicting Mental Workload of Using Exoskeletons for Construction Work: A Deep Learning Approach
Abiola Akanmu, Adedeji Afolabi, Akinwale Okunola
Proceedings e report (2023), pp. 691-700
Open Access
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