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:

Multi-class classification of construction hazards via cognitive states assessment using wearable EEG
JungHo Jeon, Hubo Cai
Advanced Engineering Informatics (2022) Vol. 53, pp. 101646-101646
Closed Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

Deep learning-based construction equipment operators’ mental fatigue classification using wearable EEG sensor data
Imran Mehmood, Heng Li, Yazan Qarout, et al.
Advanced Engineering Informatics (2023) Vol. 56, pp. 101978-101978
Open Access | Times Cited: 55

Benefits and challenges of wearable safety devices in the construction sector
Kabir Ibrahim, Fredrick Simpeh, Oluseyi Julius Adebowale
Smart and Sustainable Built Environment (2023)
Open Access | Times Cited: 23

Recent Developments and Future Directions of Wearable Skin Biosignal Sensors
Dohyung Kim, JinKi Min, Seung Hwan Ko
Advanced Sensor Research (2023) Vol. 3, Iss. 2
Open Access | Times Cited: 20

Construction Site Hazard Identification and Worker Adverse Reaction Monitoring Using Electroencephalograms: A Review
Bo’an Wei, Bin Yang, Zhang Weiling, et al.
Buildings (2024) Vol. 14, Iss. 1, pp. 180-180
Open Access | Times Cited: 7

Validity of facial features’ geometric measurements for real-time assessment of mental fatigue in construction equipment operators
Imran Mehmood, Heng Li, Waleed Umer, et al.
Advanced Engineering Informatics (2022) Vol. 54, pp. 101777-101777
Open Access | Times Cited: 24

Construction safety management in the data-rich era: A hybrid review based upon three perspectives of nature of dataset, machine learning approach, and research topic
Zhipeng Zhou, Lixuan Wei, Jingfeng Yuan, et al.
Advanced Engineering Informatics (2023) Vol. 58, pp. 102144-102144
Closed Access | Times Cited: 16

ODL-BCI: Optimal deep learning model for brain-computer interface to classify students confusion via hyperparameter tuning
Md Ochiuddin Miah, Umme Habiba, Md Faisal Kabir
Brain Disorders (2024) Vol. 13, pp. 100121-100121
Open Access | Times Cited: 6

Understanding construction workers’ cognitive processes under risky scenarios through electroencephalography
Tanghan Jiang, Yihai Fang, Zheng Nan, et al.
Automation in Construction (2024) Vol. 166, pp. 105674-105674
Open Access | Times Cited: 5

Wearable EEG-based construction hazard identification in virtual and real environments: A comparative study
JungHo Jeon, Hubo Cai
Safety Science (2023) Vol. 165, pp. 106213-106213
Closed Access | Times Cited: 12

Neuroscience meets building: A comprehensive review of electroencephalogram applications in building life cycle
Qiuwen Sun, Dan Xu, Peiyu Xu, et al.
Journal of Building Engineering (2024) Vol. 85, pp. 108707-108707
Closed Access | Times Cited: 4

EEG-based detection of adverse mental state under multi-dimensional unsafe psychology for construction workers at height
Zirui Li, Xiaer Xiahou, Gaotong Chen, et al.
Developments in the Built Environment (2024) Vol. 19, pp. 100513-100513
Open Access | Times Cited: 4

Design of a Wearable EEG Signal Acquisition System for Brain-Computer Interaction
Fei Fei, Yiqi Wu, Ruonan Yang, et al.
Lecture notes in computer science (2025), pp. 373-387
Closed Access

Development and empirical examination of the acceptance of a hazard identification and safety training system based on VR technology
Mian Yan, Cang Deng, Jiarong Gao, et al.
Safety Science (2025) Vol. 187, pp. 106853-106853
Closed 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

Smart cushion-based non-invasive mental fatigue assessment of construction equipment operators: A feasible study
Lei Wang, Heng Li, Yongliang Yao, et al.
Advanced Engineering Informatics (2023) Vol. 58, pp. 102134-102134
Closed Access | Times Cited: 9

A Feature-Level Fusion-Based Multimodal Analysis of Recognition and Classification of Awkward Working Postures in Construction
Xiaer Xiahou, Zirui Li, Jikang Xia, et al.
Journal of Construction Engineering and Management (2023) Vol. 149, Iss. 12
Closed Access | Times Cited: 9

Monitoring and evaluating the status and behaviour of construction workers using wearable sensing technologies
Mingzhu Wang, Jiayu Chen, Ma Jun
Automation in Construction (2024) Vol. 165, pp. 105555-105555
Closed Access | Times Cited: 3

Systematic literature review of wearable devices and data analytics for construction safety and health
Jinwoo Kim, Kyeongsuk Lee, JungHo Jeon
Expert Systems with Applications (2024) Vol. 257, pp. 125038-125038
Closed Access | Times Cited: 3

Advances in Biosignal Sensing and Signal Processing Methods with Wearable Devices
Jared Matthews, Jihoon Kim, Woon‐Hong Yeo
Analysis & Sensing (2022) Vol. 3, Iss. 2
Closed Access | Times Cited: 14

Study on abnormal gait and fall warning method using wearable sensors and a human musculoskeletal model
Xiaohui Jia, Jiarui Li, Jinyue Liu, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 6, pp. 065104-065104
Closed Access | Times Cited: 7

Assessing neural markers of attention during exposure to construction noise using machine learning classification of electroencephalogram data
Mostafa Mir, Farnad Nasirzadeh, Morteza Zakeri‐Nasrabadi, et al.
Building and Environment (2024) Vol. 261, pp. 111754-111754
Open Access | Times Cited: 2

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