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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:

Explainable, interpretable, and trustworthy AI for an intelligent digital twin: A case study on remaining useful life
Kazuma Kobayashi, Syed Bahauddin Alam
Engineering Applications of Artificial Intelligence (2023) Vol. 129, pp. 107620-107620
Open Access | Times Cited: 50

Showing 1-25 of 50 citing articles:

Improved generalization with deep neural operators for engineering systems: Path towards digital twin
Kazuma Kobayashi, James Daniell, Syed Bahauddin Alam
Engineering Applications of Artificial Intelligence (2024) Vol. 131, pp. 107844-107844
Open Access | Times Cited: 18
Digital twin-based gearbox fault diagnosis using variational mode decomposition and dynamic vibration modeling
Houssem Habbouche, Yassine Amirat, Tarak Benkedjouh, et al.
Measurement (2025) Vol. 246, pp. 116669-116669
Closed Access | Times Cited: 1
Deep neural operator-driven real-time inference to enable digital twin solutions for nuclear energy systems
Kazuma Kobayashi, Syed Bahauddin Alam
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 8
Exploiting XAI Maps to Improve MS Lesion Segmentation and Detection in MRI
Federico Spagnolo, Nataliia Molchanova, Mario Ocampo‐Pineda, et al.
Lecture notes in computer science (2025), pp. 121-131
Closed Access
Explainable AI Using OBDII Data for Urban Buses Maintenance Management: A Study Case About the DPF Regeneration
Bernardo Tormos, Benjamín Plá, Rafael Sanchez-Marquez, et al.
Information (2025) Vol. 16, Iss. 2, pp. 74-74
Open Access
A novel hybrid group method of data handling and Levenberg Marquardt model for estimating total organic carbon in source rocks with explainable artificial intelligence
Christopher N. Mkono, Chuanbo Shen, Alvin K. Mulashani, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 110137-110137
Closed Access
Innovative Horizons for Sustainable Smart Energy: Exploring the Synergy of 5G and Digital Twin Technologies
Mirjana Maksimović, Srđan Jokić, Marko Bošković
Process Integration and Optimization for Sustainability (2025)
Closed Access
AI Explainability Methods in Digital Twins: A Model and a Use Case
Tim Kreuzer, Panagiotis Papapetrou, Jelena Zdravković
Lecture notes in computer science (2025), pp. 3-20
Closed Access
Mathematics-Inspired Models: A Green and Interpretable Learning Paradigm for Multimedia Computing
Lei Gao, Kai Liu, Zheng Guo, et al.
ACM Transactions on Multimedia Computing Communications and Applications (2025)
Closed Access
Transforming the maintenance of underground infrastructure through Digital Twins: State of the art and outlook
Huamei Zhu, Mengqi Huang, Pei-Qi Ji, et al.
Tunnelling and Underground Space Technology (2025) Vol. 161, pp. 106508-106508
Open Access
Virtual sensing-enabled digital twin framework for real-time monitoring of nuclear systems leveraging deep neural operators
Raisa Bentay Hossain, Farid Ahmed, Kazuma Kobayashi, et al.
npj Materials Degradation (2025) Vol. 9, Iss. 1
Open Access
A Multi-Module Explainable Artificial Intelligence Framework for Project Risk Management: Enhancing Transparency in Decision-making
Bodrunnessa Badhon, Ripon K. Chakrabortty, Sreenatha G. Anavatti, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 148, pp. 110427-110427
Closed Access
Digital Twins in Industry 5.0: Challenges in Modeling and Communication
Marcell Balogh, András Földvári, Pál Varga
NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium (2023)
Closed Access | Times Cited: 12
Challenges on prognostics and health management for wind turbine components
Jokin Cuesta, Urko Leturiondo, Yolanda Vidal, et al.
Journal of Physics Conference Series (2024) Vol. 2745, Iss. 1, pp. 012003-012003
Open Access | Times Cited: 4
Multiscale computational modeling techniques in study and design of 2D materials: recent advances, challenges, and opportunities
Mohsen Asle Zaeem, Siby Thomas, Sepideh Kavousi, et al.
2D Materials (2024) Vol. 11, Iss. 4, pp. 042004-042004
Open Access | Times Cited: 4
Intelligent Manufacturing from the Perspective of Industry 5.0: Application Review and Prospects
Zi'ang Lei, Jianhua Shi, Ziren Luo, et al.
IEEE Access (2024) Vol. 12, pp. 167436-167451
Open Access | Times Cited: 4
Enhancing Reliability Through Interpretability: A Comprehensive Survey of Interpretable Intelligent Fault Diagnosis in Rotating Machinery
Gang Chen, Junlin Yuan, Yiyue Zhang, et al.
IEEE Access (2024) Vol. 12, pp. 103348-103379
Open Access | Times Cited: 3
AI-driven non-intrusive uncertainty quantification of advanced nuclear fuels for digital twin-enabling technology
Kazuma Kobayashi, Dinesh Kumar, Syed Bahauddin Alam
Progress in Nuclear Energy (2024) Vol. 172, pp. 105177-105177
Open Access | Times Cited: 2
Enhancing thermo-hydraulic performance in dimpled channels with wavy tape inserts for heat pipe & heat exchanger design with complex energy systems
Farid Ahmed, Md. Hasan Nasrullah, Istiak Ahmad, et al.
Case Studies in Thermal Engineering (2024) Vol. 60, pp. 104583-104583
Open Access | Times Cited: 2
Multi-objective integrated optimization of geothermal heating system with energy storage using digital twin technology
Yan Guo, Qichao Tang, Jo Darkwa, et al.
Applied Thermal Engineering (2024) Vol. 252, pp. 123685-123685
Closed Access | Times Cited: 2
Interpretable and efficient RUL prediction of turbofan engines using EM-enhanced Bi-LSTM with TCN and attention mechanism
Wang Jian-xing, Yue Wang, J. W. Li
Engineering Research Express (2024) Vol. 6, Iss. 3, pp. 035507-035507
Closed Access | Times Cited: 2
Recent Applications of Explainable AI (XAI): A Systematic Literature Review
Mirka Saarela, Vili Podgorelec
Applied Sciences (2024) Vol. 14, Iss. 19, pp. 8884-8884
Open Access | Times Cited: 2
Machine Learning-Based Process Optimization in Biopolymer Manufacturing: A Review
Ivan Malashin, D. A. Martysyuk, В С Тынченко, et al.
Polymers (2024) Vol. 16, Iss. 23, pp. 3368-3368
Open Access | Times Cited: 2
In-depth Analysis of Artificial Intelligence for Climate Change Mitigation
Liyu Lu
(2024)
Open Access | Times Cited: 2
Physics-informed Reinforcement Learning optimization of PWR core loading pattern
Paul Seurin, Koroush Shirvan
Annals of Nuclear Energy (2024) Vol. 208, pp. 110763-110763
Closed Access | Times Cited: 1
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