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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:

Evaluating machine learning performance in predicting injury severity in agribusiness industries
Fatemeh Davoudi Kakhki, Steven A. Freeman, Gretchen A. Mosher
Safety Science (2019) Vol. 117, pp. 257-262
Open Access | Times Cited: 71

Showing 1-25 of 71 citing articles:

A systematic literature review on the impact of artificial intelligence on workplace outcomes: A multi-process perspective
Vijay Pereira, Εlias Hadjielias, Michael Christofi, et al.
Human Resource Management Review (2021) Vol. 33, Iss. 1, pp. 100857-100857
Closed Access | Times Cited: 260
Application of machine learning techniques for predicting the consequences of construction accidents in China
Rongchen Zhu, Xiaofeng Hu, Jiaqi Hou, et al.
Process Safety and Environmental Protection (2020) Vol. 145, pp. 293-302
Closed Access | Times Cited: 120
The role of machine learning in the primary prevention of work-related musculoskeletal disorders: A scoping review
Victor C.H. Chan, Gwyneth B. Ross, Allison L. Clouthier, et al.
Applied Ergonomics (2021) Vol. 98, pp. 103574-103574
Open Access | Times Cited: 80
Class-imbalanced crash prediction based on real-time traffic and weather data: A driving simulator study
Zouhair Elamrani Abou Elassad, Hajar Mousannif, Hassan Al Moatassime
Traffic Injury Prevention (2020) Vol. 21, Iss. 3, pp. 201-208
Closed Access | Times Cited: 72
A decision support system for classifying supplier selection criteria using machine learning and random forest approach
Md. Ramjan Ali, Shah Md Ashiquzzaman Nipu, Sharfuddin Ahmed Khan
Decision Analytics Journal (2023) Vol. 7, pp. 100238-100238
Open Access | Times Cited: 38
The effects of artificial intelligence on human resource activities and the roles of the human resource triad: opportunities and challenges
Justine Dima, Marie‐Hélène Gilbert, Julie Dextras-Gauthier, et al.
Frontiers in Psychology (2024) Vol. 15
Open Access | Times Cited: 8
A proactive decision support system for predicting traffic crash events: A critical analysis of imbalanced class distribution
Zouhair Elamrani Abou Elassad, Hajar Mousannif, Hassan Al Moatassime
Knowledge-Based Systems (2020) Vol. 205, pp. 106314-106314
Closed Access | Times Cited: 57
Prediction of construction accident outcomes based on an imbalanced dataset through integrated resampling techniques and machine learning methods
Kerim Koç, Ömer Ekmekcioğlu, Aslı Pelin Gürgün
Engineering Construction & Architectural Management (2022) Vol. 30, Iss. 9, pp. 4486-4517
Closed Access | Times Cited: 37
Critical review on data-driven approaches for learning from accidents: Comparative analysis and future research
Yi Niu, Yunxiao Fan, Xing Ju
Safety Science (2023) Vol. 171, pp. 106381-106381
Closed Access | Times Cited: 19
Machine learning-based construction site dynamic risk models
Ahmed Gondia, Ahmed Moussa, Mohamed Ezzeldin, et al.
Technological Forecasting and Social Change (2023) Vol. 189, pp. 122347-122347
Closed Access | Times Cited: 16
A machine learning approach for IoT cultural data
Francesco Piccialli, Salvatore Cuomo, Vincenzo Schiano Di Cola, et al.
Journal of Ambient Intelligence and Humanized Computing (2019) Vol. 15, Iss. 2, pp. 1715-1726
Closed Access | Times Cited: 49
Evaluating the effectiveness of machine learning techniques in forecasting the severity of traffic accidents
Izuchukwu Chukwuma Obasi, Chizubem Benson
Heliyon (2023) Vol. 9, Iss. 8, pp. e18812-e18812
Open Access | Times Cited: 15
Convolutional Neural Network Algorithm–Based Novel Automatic Text Classification Framework for Construction Accident Reports
Xixi Luo, Xinchun Li, Xuefeng Song, et al.
Journal of Construction Engineering and Management (2023) Vol. 149, Iss. 12
Closed Access | Times Cited: 15
Biomechanical Risk Classification in Repetitive Lifting Using Multi-Sensor Electromyography Data, Revised National Institute for Occupational Safety and Health Lifting Equation, and Deep Learning
Fatemeh Davoudi Kakhki, Hardik Vora, Armin Moghadam
Biosensors (2025) Vol. 15, Iss. 2, pp. 84-84
Open Access
Real-Time Conflict Prediction on Freeways under Different Vehicle Interaction Scenarios Using Short-Term Vehicle Kinematic Characteristics with Temporal Variability
Chenwei Wang, Jie He, Xintong Yan, et al.
Journal of Transportation Engineering Part A Systems (2025) Vol. 151, Iss. 5
Closed Access
Predictive Modeling for Occupational Safety Outcomes and Days Away from Work Analysis in Mining Operations
Anurag Desai Yedla, Fatemeh Davoudi Kakhki, Ali Jannesari
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 19, pp. 7054-7054
Open Access | Times Cited: 35
An analysis of the effects of occupational accidents on corporate management performance
Dong Koo Kim, Sunyoung Park
Safety Science (2021) Vol. 138, pp. 105228-105228
Closed Access | Times Cited: 30
Predicting the Chemical Attributes of Fresh Citrus Fruits Using Artificial Neural Network and Linear Regression Models
Adel M. Al-Saif, Mahmoud Abdel-Sattar, Dalia H. Eshra, et al.
Horticulturae (2022) Vol. 8, Iss. 11, pp. 1016-1016
Open Access | Times Cited: 19
Human Resources Management After Industry 4.0
Shaista Anayat
Advances in human resources management and organizational development book series (2023), pp. 97-115
Closed Access | Times Cited: 12
Evaluating the Efficacy of a Passive Exoskeleton for Enhancing Ergonomics in Manufacturing
Fatemeh Davoudi Kakhki, Armin Moghadam, Arnold Nieto, et al.
Applied Sciences (2024) Vol. 14, Iss. 13, pp. 5810-5810
Open Access | Times Cited: 4
Integrated Explainable Ensemble Machine Learning Prediction of Injury Severity in Agricultural Accidents
Omer Mermer, Eddie Zhang, İbrahim Demir
medRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Spatial Twin Framework for Climate Risk Assessment Using Geospatial and Machine Learning Approaches
Moustafa Naiem Abdel-Mooty, Paulin Coulibaly, Wael El‐Dakhakhni
Research Square (Research Square) (2025)
Closed Access
Machine Learning–Based Decision Support Framework for Construction Injury Severity Prediction and Risk Mitigation
Ahmed Gondia, Mohamed Ezzeldin, Wael El‐Dakhakhni
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering (2022) Vol. 8, Iss. 3
Closed Access | Times Cited: 18
An integration of intelligent approaches and economic criteria for predictive analytics of occupational accidents
Kamran Gholamizadeh, Esmaeil Zarei, Mohammad Yazdi, et al.
Decision Analytics Journal (2023) Vol. 9, pp. 100357-100357
Open Access | Times Cited: 10
Efficient Fusion Decision System for Predicting Road Crash Events: A Comparative Simulator Study for Imbalance Class Handling
Zouhair Elamrani Abou Elassad, Mohammed Ameksa, Dauha Elamrani Abou Elassad, et al.
Transportation Research Record Journal of the Transportation Research Board (2023) Vol. 2678, Iss. 5, pp. 789-811
Closed Access | Times Cited: 9
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