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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 26-50 of 71 citing articles:

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
Predicting stroke events with a proactive fusion system: a comprehensive study on imbalance class handling in computational biomechanics
Mohammed Ameksa, Zouhair Elamrani Abou Elassad, Saad Lamjadli, et al.
Computer Methods in Biomechanics & Biomedical Engineering (2024), pp. 1-18
Closed Access | Times Cited: 3
Use of Neural Networks to Identify Safety Prevention Priorities in Agro-Manufacturing Operations within Commercial Grain Elevators
Fatemeh Davoudi Kakhki, Steven A. Freeman, Gretchen A. Mosher
Applied Sciences (2019) Vol. 9, Iss. 21, pp. 4690-4690
Open Access | Times Cited: 28
Discovery of new safety knowledge from mining large injury dataset in construction
Xiaoxiao Xu, Patrick X.W. Zou
Safety Science (2021) Vol. 144, pp. 105481-105481
Closed Access | Times Cited: 22
Development of a hybrid system based on convolutional neural networks and support vector machines for recognition and tracking color changes in food during thermal processing
Weskley da Silva Cotrim, Leonardo Bonato Félix, Valéria Paula Rodrigues Minim, et al.
Chemical Engineering Science (2021) Vol. 240, pp. 116679-116679
Closed Access | Times Cited: 21
Occupational Injury Risk Mitigation: Machine Learning Approach and Feature Optimization for Smart Workplace Surveillance
Mohamed Zul Fadhli Khairuddin, P Hui, Khairunnisa Hasikin‬, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 21, pp. 13962-13962
Open Access | Times Cited: 14
Investigating factors influencing pedestrian crosswalk usage behavior in Dhaka city using supervised machine learning techniques
Nazmus Sakib, Tonmoy Paul, Md. Tawkir Ahmed, et al.
Multimodal Transportation (2023) Vol. 3, Iss. 1, pp. 100108-100108
Open Access | Times Cited: 7
A human-in-the-loop ensemble fusion framework for road crash prediction: coping with imbalanced heterogeneous data from the driver-vehicle-environment system
Dauha Elamrani Abou Elassad, Zouhair Elamrani Abou Elassad, Abdel Majid Ed-dahbi, et al.
Transportation Letters (2024), pp. 1-17
Closed Access | Times Cited: 2
Data-Driven Approach for Estimating Power and Fuel Consumption of Ship: A Case of Container Vessel
Tayfun Uyanık, Yunus Yalman, Özcan Kalenderli, et al.
Mathematics (2022) Vol. 10, Iss. 22, pp. 4167-4167
Open Access | Times Cited: 10
A framework to identify and respond to weak signals of disastrous process incidents based on FRAM and machine learning techniques
Mengxi Yu, Hans J. Pasman, Madhav Erraguntla, et al.
Process Safety and Environmental Protection (2021) Vol. 158, pp. 98-114
Closed Access | Times Cited: 11
Characteristics of fatal occupational injuries in migrant workers in South Korea: A machine learning study
Ju-Yeun Lee, Woojoo Lee, Sung‐Il Cho
Heliyon (2023) Vol. 9, Iss. 9, pp. e20138-e20138
Open Access | Times Cited: 4
Machine learning in Occupational Safety and Health - a systematic review
Sara Maheronnaghsh, Hooshiar Zolfagharnasab, Malihe Gorgich, et al.
International Journal of Occupational and Environmental Safety (2023) Vol. 7, Iss. 1, pp. 14-32
Open Access | Times Cited: 4
Fraud Detection in Credit Card Transactions Using HDBSCAN, UMAP and SMOTE Methods
Rudy Setiawan, Budi Tjahjono, Gerry Firmansyah, et al.
International Journal Of Science Technology & Management (2023) Vol. 4, Iss. 5, pp. 1333-1339
Open Access | Times Cited: 4
An advanced accident avoidance system based on imbalance-control ensemble and deep learning fusion design
Dauha Elamrani Abou Elassad, Zouhair Elamrani Abou Elassad, Abdel Majid Ed-dahbi, et al.
Journal of Intelligent & Fuzzy Systems (2024) Vol. 46, Iss. 2, pp. 3659-3676
Closed Access | Times Cited: 1
Autonomous Cycles of Data Analysis Tasks for the Automation of the Production Chain of MSMEs for the Agroindustrial Sector
Jairo Fuentes, José Aguilar, Edwin Montoya, et al.
Information (2024) Vol. 15, Iss. 2, pp. 86-86
Open Access | Times Cited: 1
A Machine Learning Approach to Identifying Employees at Risk of Workplace Injury
Bablu Pramanik, Santanu Modak
(2024), pp. 1-6
Closed Access | Times Cited: 1
Evaluating Efficacy of Passive Occupational Exoskeleton for Enhancing Ergonomic Outcomes in Manufacturing
Fatemeh Davoudi Kakhki, Armin Moghadam, Arnold Nieto, et al.
(2024)
Open Access | Times Cited: 1
Is Technology Uniquely Placed to Solve Our Problems? An Examination Into Technosolutionism, What It Entails and What It Predicts
Mahak Nagpal, David De Cremer, Alain Van Hiel
Business & Society (2024)
Closed Access | Times Cited: 1
Ensemble-based model to investigate factors influencing road crash fatality for imbalanced data
Nazmus Sakib, Tonmoy Paul, Nafis Anwari, et al.
Transportation Engineering (2024), pp. 100284-100284
Open Access | Times Cited: 1
Investigating Machine Learning Applications in the Prediction of Occupational Injuries in South African National Parks
Martha Chadyiwa, Juliana Kagura, Aimée Stewart
Machine Learning and Knowledge Extraction (2022) Vol. 4, Iss. 3, pp. 768-778
Open Access | Times Cited: 7
Comparison of machine learning methods in predicting binary and multi-class occupational accident severity
Füsun Recal, Tufan Demirel
Journal of Intelligent & Fuzzy Systems (2021) Vol. 40, Iss. 6, pp. 10981-10998
Closed Access | Times Cited: 9
Deteksi Hama Pada Daun Apel Menggunakan Algoritma Convolutional Neural Network
Dede Husen, Kusrini Kusrini, Kusnawi Kusnawi
JURNAL MEDIA INFORMATIKA BUDIDARMA (2022) Vol. 6, Iss. 4, pp. 2103-2103
Open Access | Times Cited: 6
Applied Machine Learning in Agro-Manufacturing Occupational Incidents
Fatemeh Davoudi Kakhki, Steven A. Freeman, Gretchen A. Mosher
Procedia Manufacturing (2020) Vol. 48, pp. 24-30
Open Access | Times Cited: 8
Fire safety assessment models based on machine learning methods for the coal industry
Shiguang Sun, Dmitry Gura, Bo Dong
Chemometrics and Intelligent Laboratory Systems (2022) Vol. 231, pp. 104693-104693
Closed Access | Times Cited: 5
Harnessing the Multimodal Data Integration and Deep Learning for Occupational Injury Severity Prediction
Mohamed Zul Fadhli Khairuddin, Khairunnisa Hasikin‬, Nasrul Anuar Abd Razak, et al.
IEEE Access (2023) Vol. 11, pp. 85284-85302
Open Access | Times Cited: 2

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