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:
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
Martha Chadyiwa, Juliana Kagura, Aimée Stewart
Machine Learning and Knowledge Extraction (2022) Vol. 4, Iss. 3, pp. 768-778
Open Access | Times Cited: 7
Showing 7 citing articles:
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
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
Application of Machine Learning Modeling for the Upstream Oil and Gas Industry Injury Rate Prediction
Desalegn Yeshitila, Daniel Kitaw, Mesfin Belayneh
International Journal of Occupational Safety and Health (2024) Vol. 14, Iss. 2, pp. 152-165
Open Access | Times Cited: 1
Desalegn Yeshitila, Daniel Kitaw, Mesfin Belayneh
International Journal of Occupational Safety and Health (2024) Vol. 14, Iss. 2, pp. 152-165
Open Access | Times Cited: 1
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
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
Contextualizing injury severity from occupational accident reports using an optimized deep learning prediction model
Mohamed Zul Fadhli Khairuddin, Suresh Sankaranarayanan, Khairunnisa Hasikin, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e1985-e1985
Open Access
Mohamed Zul Fadhli Khairuddin, Suresh Sankaranarayanan, Khairunnisa Hasikin, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e1985-e1985
Open Access
A Machine Learning Approach to Identifying Employees at Risk of Workplace Injury
Bablu Pramanik, Santanu Modak
(2024), pp. 1-6
Closed Access
Bablu Pramanik, Santanu Modak
(2024), pp. 1-6
Closed Access
Application of Machine Learning in the Prediction of Employee Satisfaction with Support Provided in a National Park
Martha Chadyiwa, Juliana Kagura, Aimée Stewart
(2024), pp. 107-119
Closed Access
Martha Chadyiwa, Juliana Kagura, Aimée Stewart
(2024), pp. 107-119
Closed Access
Prediction of Safety Performance by Using Machine Learning Algorithms: Evidence from Indian Construction Project Sites
Rajaprasad Svs, Rambabu Mukkamala
International Journal of Sustainable Construction Engineering Technology (2023) Vol. 14, Iss. 4
Open Access | Times Cited: 1
Rajaprasad Svs, Rambabu Mukkamala
International Journal of Sustainable Construction Engineering Technology (2023) Vol. 14, Iss. 4
Open Access | Times Cited: 1
