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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:

Learning from major accidents: A machine learning approach
Nicola Tamascelli, Riccardo Solini, Nicola Paltrinieri, et al.
Computers & Chemical Engineering (2022) Vol. 162, pp. 107786-107786
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Lessons learned from HIAD 2.0: Inspection and maintenance to avoid hydrogen-induced material failures
Alessandro Campari, Antonio Javier Nakhal Akel, Federico Ustolin, et al.
Computers & Chemical Engineering (2023) Vol. 173, pp. 108199-108199
Open Access | Times Cited: 39
Analysis on causes of chemical industry accident from 2015 to 2020 in Chinese mainland: A complex network theory approach
Jianfeng Yang, Pengchao Wang, Xinyong Liu, et al.
Journal of Loss Prevention in the Process Industries (2023) Vol. 83, pp. 105061-105061
Closed Access | Times Cited: 33
Application of machine learning technology for occupational accident severity prediction in the case of construction collapse accidents
Xixi Luo, Xinchun Li, Zaili Yang, et al.
Safety Science (2023) Vol. 163, pp. 106138-106138
Closed Access | Times Cited: 27
Lessons learned and recommendations from analysis of hydrogen incidents and accidents to support risk assessment for the hydrogen economy
Rami Alfasfos, Jani Sillman, Risto Soukka
International Journal of Hydrogen Energy (2024) Vol. 60, pp. 1203-1214
Open Access | Times Cited: 13
Tower crane safety technologies: A synthesis of academic research and industry insights
Ali Hassan Ali, Tarek Zayed, Roy Dong Wang, et al.
Automation in Construction (2024) Vol. 163, pp. 105429-105429
Closed Access | Times Cited: 12
Artificial Intelligence for safety and reliability: A descriptive, bibliometric and interpretative review on machine learning
Nicola Tamascelli, Alessandro Campari, Tarannom Parhizkar, et al.
Journal of Loss Prevention in the Process Industries (2024) Vol. 90, pp. 105343-105343
Open Access | Times Cited: 12
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
Risk assessment of utility tunnels through risk interaction-based deep learning
Gang Xue, Shifeng Liu, Long Ren, et al.
Reliability Engineering & System Safety (2023) Vol. 241, pp. 109626-109626
Closed Access | Times Cited: 15
A Review of AI for optimization of 3D Printing of Sustainable Polymers and Composites
Malik Hassan, Manjusri Misra, Graham W. Taylor, et al.
Composites Part C Open Access (2024), pp. 100513-100513
Open Access | Times Cited: 5
A method for assisting the accident consequence prediction and cause investigation in petrochemical industries based on natural language processing technology
Feng Wang, Wunan Gu, Yan Bai, et al.
Journal of Loss Prevention in the Process Industries (2023) Vol. 83, pp. 105028-105028
Closed Access | Times Cited: 12
A HAZOP of dust explosion testing and explosibility modelling using artificial neural networks
Mohammad Alauddin, Paul Amyotte, Anton Schrader, et al.
The Canadian Journal of Chemical Engineering (2024)
Open Access | Times Cited: 4
Data-Driven Approaches for Accident Analysis in Sociochemical Systems
Kamran Gholamizadeh, Esmaeil Zarei, Mohammad Yazdi, et al.
Studies in systems, decision and control (2024), pp. 457-486
Closed Access | Times Cited: 4
Data augmentation using SMOTE technique: Application for prediction of burst pressure of hydrocarbons pipeline using supervised machine learning models
Afzal Ahmed Soomro, Ainul Akmar Mokhtar, Masdi Muhammad, et al.
Results in Engineering (2024), pp. 103233-103233
Open Access | Times Cited: 4
Transforming workplace safety through leveraging predictive analytics and explainable AI in steel industries
Shatrudhan Pandey, Abhishek Kumar Singh, Shreyanshu Parhi
Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability (2025)
Closed Access
Explainable Artificial Intelligence to Support Work Safety in Forestry: Insights from Two Large Datasets, Open Challenges, and Future Work
Ferdinand Hoenigsberger, Anna Saranti, Anahid Jalali, et al.
Applied Sciences (2024) Vol. 14, Iss. 9, pp. 3911-3911
Open Access | Times Cited: 3
Learning From Major Accidents: A Meta-Learning Perspective
Nicola Tamascelli, Nicola Paltrinieri, Valerio Cozzani
Safety Science (2022) Vol. 158, pp. 105984-105984
Open Access | Times Cited: 13
Path-Sampling and Machine Learning for Rare Abnormal Events: Application to Polymerization CSTRs
Vikram Sudarshan, Warren D. Seider, Amish J. Patel, et al.
Chemical Engineering Science (2024) Vol. 300, pp. 120513-120513
Open Access | Times Cited: 2
Environmental Risk Assessment Using Neural Network in Liquefied Petroleum Gas Terminal
Lalit Rajaramji Gabhane, Nagamalleswara Rao Kanidarapu
Toxics (2023) Vol. 11, Iss. 4, pp. 348-348
Open Access | Times Cited: 5
Artificial Intelligence in Industry 4.0: Implications for Occupational Safety and Health
Pierre Bérastégui
SSRN Electronic Journal (2024)
Closed Access | Times Cited: 1
Advancing Machine Learning in Industry 4.0: Benchmark Framework for Rare-event Prediction in Chemical Processes
Vikram Sudarshan, Warren D. Seider
Computers & Chemical Engineering (2024), pp. 108929-108929
Closed Access | Times Cited: 1
Machine Learning and Knowledge Extraction to Support Work Safety for Smart Forest Operations
Ferdinand Hoenigsberger, Anna Saranti, Alessa Angerschmid, et al.
Lecture notes in computer science (2022), pp. 362-375
Closed Access | Times Cited: 5
Application of rough set theory and machine learning algorithms in predicting accident outcomes in the Indian petroleum industry
Rajan Kumar Gangadhari, Vivek Khanzode, Shankar Murthy
Concurrency and Computation Practice and Experience (2022) Vol. 34, Iss. 26
Closed Access | Times Cited: 4
Application of Machine Learning to Improve Safety in the Wind Industry
Bertrand David Barouti, Seifedine Kadry
Intelligent systems reference library (2024), pp. 123-165
Closed Access
Evaluation of Severity Index of Road Casualties on Mangawan to Chakghat Section of NH-30 Using Machine Learning Approach
Alkesh Kumar Khade, Rakesh Mehar
International Journal for Research in Applied Science and Engineering Technology (2024) Vol. 12, Iss. 5, pp. 4868-4877
Open Access
Technical failures in green hydrogen production and reliability engineering responses: Insights from database analysis and a literature review
Farhana Yasmine Tuhi, Marta Bucelli, Yiliu Liu
International Journal of Hydrogen Energy (2024) Vol. 94, pp. 608-625
Open Access
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