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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:

Digital Twins for Anomaly Detection in the Industrial Internet of Things: Conceptual Architecture and Proof-of-Concept
Alessandra De Benedictis, Francesco Flammini, Nicola Mazzocca, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 19, Iss. 12, pp. 11553-11563
Open Access | Times Cited: 18

Showing 18 citing articles:

Control-flow anomaly detection by process mining-based feature extraction and dimensionality reduction
Francesco Vitale, Marco Pegoraro, Wil M. P. van der Aalst, et al.
Knowledge-Based Systems (2025) Vol. 310, pp. 112970-112970
Open Access
Model‐based digital twins of medicine dispensers for healthcare IoT applications
Hassan Sartaj, Shaukat Ali, Tao Yue, et al.
Software Practice and Experience (2024) Vol. 54, Iss. 6, pp. 1172-1192
Open Access | Times Cited: 4
Smart Health Practices: Strategies to Improve Healthcare Efficiency through Digital Twin Technology
Md. Mahmud Hasan, Ridwan Mustofa, Niamat Ullah Ibne Hossain, et al.
Smart Health (2025), pp. 100541-100541
Closed Access
Unsupervised Process Anomaly Detection and Identification Using the Leave-One-Variable-Out Approach
Jacob Farber, Ahmad Al Rashdan
Sensors (2025) Vol. 25, Iss. 7, pp. 2098-2098
Open Access
Digital Twin Space: The Integration of Digital Twins and Data Spaces
Alessandra Somma, Alessandra De Benedictis, Marco Zappatore, et al.
2021 IEEE International Conference on Big Data (Big Data) (2023), pp. 4017-4025
Closed Access | Times Cited: 6
Blockchain-aided Collaborative Threat Detection for Securing Digital Twin-based IIoT Networks
Ahmad Zainudin, Made Adi Paramartha Putra, Revin Naufal Alief, et al.
ICC 2022 - IEEE International Conference on Communications (2024), pp. 4656-4661
Closed Access | Times Cited: 1
Empowering Digital Twin for Future Networks with Graph Neural Networks: Overview, Enabling Technologies, Challenges, and Opportunities
Duc-Thinh Ngo, Ons Aouedi, Kandaraj Piamrat, et al.
Future Internet (2023) Vol. 15, Iss. 12, pp. 377-377
Open Access | Times Cited: 3
A Process Mining-based unsupervised Anomaly Detection technique for the Industrial Internet of Things
Francesco Vitale, Fabrizio De Vita, Nicola Mazzocca, et al.
Internet of Things (2023) Vol. 24, pp. 100993-100993
Open Access | Times Cited: 2
Anomaly Detection Based on Data Super-Resolution in Industrial Cyber-Physical Systems with Multi-Rate Sampling
Xin Du, Chunjie Zhou, Yu‐Chu Tian, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 10, pp. 16478-16490
Closed Access
Scalable Compositional Digital Twin-Based Monitoring System for Production Management: Design and Development in an Experimental Open-Pit Mine
Nabil El Bazi, Oussama Laayati, Nouhaila Darkaoui, et al.
Designs (2024) Vol. 8, Iss. 3, pp. 40-40
Open Access
Human Factors and Security in Digital Twins: Challenges and Future Prospects
Sanjay Misra, Kousik Barik, Harald Thunem, et al.
Lecture notes in computer science (2024), pp. 281-295
Closed Access
Extremely Rare Anomaly Detection Pipeline in Semiconductor Bonding Process With Digital Twin-Driven Data Augmentation Method
Mingu Jeon, Inho Choi, Seung‐Woo Seo, et al.
IEEE Transactions on Components Packaging and Manufacturing Technology (2024) Vol. 14, Iss. 10, pp. 1891-1902
Closed Access
Application of Degradation and Optimization Models for digitization of Maintenance Management in Railway Infrastructures
Mauricio Rodríguez, Vicente González-Prida, Antonio Sánchez, et al.
IFAC-PapersOnLine (2024) Vol. 58, Iss. 8, pp. 115-120
Open Access
MeDeT: Medical Device Digital Twins Creation with Few-shot Meta-learning
Hassan Sartaj, Shaukat Ali, Julie Marie Gjøby
ACM Transactions on Software Engineering and Methodology (2024)
Open Access
Data-Driven Anomaly Detection in Smart-Railways through Self-Adaptation, Process Mining, and Digital Twins
Francesco Flammini
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 8653-8657
Closed Access
Merging Model-Based and Data-Driven Approaches for Resilient Systems Digital Twins Design
Lelio Campanile, Maria Stella de Biase, Roberta De Fazio, et al.
(2023), pp. 301-306
Closed Access
Model-based Digital Twins of Medicine Dispensers for Healthcare IoT Applications
Hassan Sartaj, Shaukat Ali, Tao Yue, et al.
arXiv (Cornell University) (2023)
Open Access
A Cyber Digital Twin Framework to Support Cyber-Physical Systems Security
Alessandra Somma, Valentina Casola, Ana Cavalli, et al.
(2023), pp. 1-10
Closed Access
DPG-DT: Differentially Private Generative Digital Twin for Imbalanced Learning in Industrial IoT
Siyuan Li, Xi Lin, Gaolei Li, et al.
2021 17th International Conference on Mobility, Sensing and Networking (MSN) (2023), pp. 270-276
Closed Access
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