Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Applications of machine learning methods for engineering risk assessment – A review
Jeevith Hegde, Børge Rokseth
Safety Science (2019) Vol. 122, pp. 104492-104492
Open Access | Times Cited: 293

Showing 1-25 of 293 citing articles:

Applications of artificial intelligence in engineering and manufacturing: a systematic review
Isaac Kofi Nti, Adebayo Felix Adekoya, Benjamin Asubam Weyori, et al.
Journal of Intelligent Manufacturing (2021) Vol. 33, Iss. 6, pp. 1581-1601
Closed Access | Times Cited: 139
Future of artificial intelligence and its influence on supply chain risk management – A systematic review
A. Deiva Ganesh, P. Kalpana
Computers & Industrial Engineering (2022) Vol. 169, pp. 108206-108206
Closed Access | Times Cited: 112
A literature review of machine learning algorithms for crash injury severity prediction
Kenny Santos, João P. Dias, Conceição Amado
Journal of Safety Research (2021) Vol. 80, pp. 254-269
Closed Access | Times Cited: 111
Machine Learning for Risk and Resilience Assessment in Structural Engineering: Progress and Future Trends
Xiaowei Wang, Ram K. Mazumder, Babak Salarieh, et al.
Journal of Structural Engineering (2022) Vol. 148, Iss. 8
Closed Access | Times Cited: 102
The State of the Art in Deep Learning Applications, Challenges, and Future Prospects: A Comprehensive Review of Flood Forecasting and Management
Vijendra Kumar, Hazi Mohammad Azamathulla, Kul Vaibhav Sharma, et al.
Sustainability (2023) Vol. 15, Iss. 13, pp. 10543-10543
Open Access | Times Cited: 99
Machine learning for spatial analyses in urban areas: a scoping review
Ylenia Casali, Nazli Yonca Aydin, Tina Comes
Sustainable Cities and Society (2022) Vol. 85, pp. 104050-104050
Open Access | Times Cited: 89
A survey of the opportunities and challenges of supervised machine learning in maritime risk analysis
Andrew Rawson, Mario Brito
Transport Reviews (2022) Vol. 43, Iss. 1, pp. 108-130
Open Access | Times Cited: 73
Scope of machine learning in materials research—A review
Md Hosne Mobarak, Mariam Akter Mimona, Md Aminul Islam, et al.
Applied Surface Science Advances (2023) Vol. 18, pp. 100523-100523
Open Access | Times Cited: 56
The role of artificial intelligence and digital technologies in dam engineering: Narrative review and outlook
Mohammad Amin Hariri‐Ardebili, Golsa Mahdavi, Larry K. Nuss, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106813-106813
Closed Access | Times Cited: 44
How to account artificial intelligence in human factor analysis of complex systems?
Esmaeil Zarei, Faisal Khan, Rouzbeh Abbassi
Process Safety and Environmental Protection (2023) Vol. 171, pp. 736-750
Closed Access | Times Cited: 42
Learning-driven lossy image compression: A comprehensive survey
Sonain Jamil, Md. Jalil Piran, MuhibUr Rahman, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106361-106361
Open Access | Times Cited: 42
An analysis of process fault diagnosis methods from safety perspectives
Rajeevan Arunthavanathan, Faisal Khan, Salim Ahmed, et al.
Computers & Chemical Engineering (2020) Vol. 145, pp. 107197-107197
Closed Access | Times Cited: 122
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: 117
A Holistic Review of Cybersecurity and Reliability Perspectives in Smart Airports
Nickolaos Koroniotis, Nour Moustafa, Francesco Schiliro, et al.
IEEE Access (2020) Vol. 8, pp. 209802-209834
Open Access | Times Cited: 117
A novel decision support system for managing predictive maintenance strategies based on machine learning approaches
Simone Arena, E. Florian, Ilenia Zennaro, et al.
Safety Science (2021) Vol. 146, pp. 105529-105529
Closed Access | Times Cited: 95
Cybersecurity Risk Assessment in Smart City Infrastructures
Maxim Kalinin, Vasiliy Krundyshev, P. D. Zegzhda
Machines (2021) Vol. 9, Iss. 4, pp. 78-78
Open Access | Times Cited: 86
A Review of Risk Analysis Research for the Operations of Autonomous Underwater Vehicles
Xi Chen, Neil Bose, Mario Brito, et al.
Reliability Engineering & System Safety (2021) Vol. 216, pp. 108011-108011
Closed Access | Times Cited: 65
A machine learning approach for monitoring ship safety in extreme weather events
Andrew Rawson, Mario Brito, Zoheir Sabeur, et al.
Safety Science (2021) Vol. 141, pp. 105336-105336
Open Access | Times Cited: 56
Review of interpretable machine learning for process industries
A. Carter, Syed Imtiaz, G.F. Naterer
Process Safety and Environmental Protection (2022) Vol. 170, pp. 647-659
Closed Access | Times Cited: 48
Testing machine learning models for seismic damage prediction at a regional scale using building-damage dataset compiled after the 2015 Gorkha Nepal earthquake
Subash Ghimire, Philippe Guéguen, Sophie Giffard‐Roisin, et al.
Earthquake Spectra (2022) Vol. 38, Iss. 4, pp. 2970-2993
Open Access | Times Cited: 38
Assessing project portfolio risk via an enhanced GA-BPNN combined with PCA
Libiao Bai, Chaopeng Song, Xinyu Zhou, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106779-106779
Closed Access | Times Cited: 33
Intelligent based decision-making strategy to predict fire intensity in subsurface engineering environments
Muhammad Kamran, Ridho Kresna Wattimena, Danial Jahed Armaghani, et al.
Process Safety and Environmental Protection (2023) Vol. 171, pp. 374-384
Closed Access | Times Cited: 32
Prediction of oil and gas pipeline failures through machine learning approaches: A systematic review
Abdulnaser M. Al-Sabaeei, Hitham Alhussian, Said Jadid Abdulkadir, et al.
Energy Reports (2023) Vol. 10, pp. 1313-1338
Open Access | Times Cited: 31
Time-series pattern recognition in Smart Manufacturing Systems: A literature review and ontology
Mojtaba A. Farahani, Matt McCormick, Robert Gianinny, et al.
Journal of Manufacturing Systems (2023) Vol. 69, pp. 208-241
Open Access | Times Cited: 27
Construction safety predictions with multi-head attention graph and sparse accident networks
Fatemeh Mostofi, Vedat Toğan
Automation in Construction (2023) Vol. 156, pp. 105102-105102
Closed Access | Times Cited: 26
Page 1 - Next Page

Scroll to top