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:

A Future with Machine Learning: Review of Condition Assessment of Structures and Mechanical Systems in Nuclear Facilities
Harleen Kaur Sandhu, Saran Srikanth Bodda, Abhinav Gupta
Energies (2023) Vol. 16, Iss. 6, pp. 2628-2628
Open Access | Times Cited: 22

Showing 22 citing articles:

Application of artificial intelligence technologies and big data computing for nuclear power plants control: a review
Derjew Ayele Ejigu, Yanjie Tuo, Xiaojing Liu
Frontiers in Nuclear Engineering (2024) Vol. 3
Open Access | Times Cited: 6

Current status of digital twin architecture and application in nuclear energy field
Hu Mengyan, Xueyan Zhang, Peng Cuiting, et al.
Annals of Nuclear Energy (2024) Vol. 202, pp. 110491-110491
Closed Access | Times Cited: 6

A comparative study on deep learning models for condition monitoring of advanced reactor piping systems
Harleen Kaur Sandhu, Saran Srikanth Bodda, Erin Yan, et al.
Mechanical Systems and Signal Processing (2024) Vol. 209, pp. 111091-111091
Closed Access | Times Cited: 5

Improved versatility and robustness of bearing fault detection and diagnostic method for nuclear power plant
Jin Siang Yap, M. H. Lim, Leong M. Salman
Nuclear Engineering and Design (2024) Vol. 428, pp. 113474-113474
Closed Access | Times Cited: 5

Physics-trained artificial intelligence framework to detect chloride induced degradation in concrete
Parth Patel, Abhinav Gupta, Saran Srikanth Bodda, et al.
Journal of Infrastructure Intelligence and Resilience (2025), pp. 100139-100139
Open Access

Non-destructive evaluation and machine learning methods for inspection of spent nuclear fuel canisters: A state-of-the-art review
Bozhou Zhuang, Anna Arcaro, Bora Gencturk, et al.
Progress in Nuclear Energy (2025) Vol. 185, pp. 105697-105697
Closed Access

AI-enhanced subsea maintenance for improved safety and efficiency: Exploring strategic approaches
Oludayo Olatoye Sofoluwe, Obinna Joshua Ochulor, Ayemere Ukato, et al.
International Journal of Science and Research Archive (2024) Vol. 12, Iss. 1, pp. 114-124
Open Access | Times Cited: 3

Optimization of passive modular molten salt microreactor geometric perturbations using machine learning
Andrew Larsen, Ross Lee, Braden Clayton, et al.
Nuclear Engineering and Design (2024) Vol. 424, pp. 113307-113307
Closed Access | Times Cited: 2

Condition Monitoring of Nuclear Equipment-Piping Systems Subjected to Normal Operating Loads Using Deep Neural Networks
Harleen Kaur Sandhu, Saran Srikanth Bodda, Serena Sauers, et al.
Journal of Pressure Vessel Technology (2023) Vol. 145, Iss. 4
Closed Access | Times Cited: 6

Current status and future challenges of digital twins for structural health monitoring in civil infrastructures
Lukesh Parida, Sumedha Moharana
Engineering Research Express (2024) Vol. 6, Iss. 2, pp. 022102-022102
Closed Access | Times Cited: 1

Characterizing the cyclic behavior of piping T-joint connections
Mrinal Jyoti Mahanta, Abhinav Gupta, Saran Srikanth Bodda, et al.
International Journal of Pressure Vessels and Piping (2024) Vol. 211, pp. 105284-105284
Closed Access | Times Cited: 1

Deep learning application for monitoring degradation in nuclear safety systems
Harleen Kaur Sandhu, Serena Sauers, Saran Srikanth Bodda, et al.
European Journal of Environmental and Civil engineering (2024), pp. 1-15
Closed Access | Times Cited: 1

Multiyear Facility Maintenance Optimization
Trevor Betz, Khaled El‐Rayes, Michael N. Grussing
Journal of Performance of Constructed Facilities (2024) Vol. 38, Iss. 2
Closed Access

Achieving SDGs Using AI Techniques and Digital Twins for Nuclear Power Plants: A Review
Kousik Barik, Sanjay Misra, Harald Thunem
Lecture notes on data engineering and communications technologies (2024), pp. 81-98
Closed Access

An Investigation of Efficiency Issues in a Low-Pressure Steam Turbine Using Neural Modelling
Marek Bělohoubek, Karel Liška, Zdeněk Kubín, et al.
Sensors (2024) Vol. 24, Iss. 7, pp. 2056-2056
Open Access

Digital engineering implementation in nuclear demonstration and nonproliferation projects at Idaho National Laboratory
Ashley Finan, Christopher Ritter, Peter Suyderhoud, et al.
Frontiers in Energy Research (2024) Vol. 12
Open Access

Research on Data-Driven Methods for Solving High-Dimensional Neutron Transport Equations
Zhiqiang Peng, Jichong Lei, Zining Ni, et al.
Energies (2024) Vol. 17, Iss. 16, pp. 4153-4153
Open Access

Conclusion and Future Perspectives for Space Radiation Detection
Ramachandra Naik, H.P. Nagaswarupa, B. H. M. Darukesha, et al.
Springer briefs in molecular science (2024), pp. 101-109
Closed Access

The Role of AI in Detecting and Mitigating Human Errors in Safety-Critical Industries: A Review
Ezgi Gursel, Mahboubeh Madadi, Jamie Coble, et al.
Reliability Engineering & System Safety (2024) Vol. 256, pp. 110682-110682
Closed Access

Artificial intelligence-driven advances in nuclear technology: Exploring innovations, applications, and future prospects
Fatima Ezzahra Arhouni, Maged Ahmed Saleh Abdo, Saad Ouakkas, et al.
Annals of Nuclear Energy (2024) Vol. 213, pp. 111151-111151
Closed Access

Temperature Measurement in the Nuclear Reactor Core Using Distributed Optical Sensing
Petr Dejdar, Štěpán Foral, Petr Münster, et al.
26th International Conference on Optical Fiber Sensors (2023), pp. Tu3.45-Tu3.45
Closed Access

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