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:

Smart anomaly detection in sensor systems: A multi-perspective review
Laura Erhan, Maryleen Ndubuaku, Mario Di Mauro, et al.
Information Fusion (2020) Vol. 67, pp. 64-79
Open Access | Times Cited: 215

Showing 26-50 of 215 citing articles:

Review of fault detection techniques for predictive maintenance
D. Divya, M. Bhasi, M. B. Santosh Kumar
Journal of Quality in Maintenance Engineering (2022) Vol. 29, Iss. 2, pp. 420-441
Closed Access | Times Cited: 36

iReTADS: An Intelligent Real-Time Anomaly Detection System for Cloud Communications Using Temporal Data Summarization and Neural Network
Gotam Singh Lalotra, Vinod Kumar, Abhishek Bhatt, et al.
Security and Communication Networks (2022) Vol. 2022, pp. 1-15
Open Access | Times Cited: 34

Predictive maintenance on sensorized stamping presses by time series segmentation, anomaly detection, and classification algorithms
Daniel Coelho, Diogo Costa, Eugénio M. Rocha, et al.
Procedia Computer Science (2022) Vol. 200, pp. 1184-1193
Open Access | Times Cited: 33

A fault-tolerant sensor fusion in mobile robots using multiple model Kalman filters
M. Kheirandish, E. Azadi Yazdi, H. Mohammadi, et al.
Robotics and Autonomous Systems (2022) Vol. 161, pp. 104343-104343
Closed Access | Times Cited: 32

High-performance piezoelectric nanogenerators featuring embedded organic nanodroplets for self-powered sensors
Hai Li, Sooman Lim
Journal of Materials Chemistry A (2022) Vol. 10, Iss. 28, pp. 14894-14905
Closed Access | Times Cited: 31

A collaborative network of digital twins for anomaly detection applications of complex systems. Snitch Digital Twin concept
Pablo Calvo-Bascones, Alexandre Voisin, Phuc Do, et al.
Computers in Industry (2022) Vol. 144, pp. 103767-103767
Open Access | Times Cited: 29

A Survey of Graph-Based Deep Learning for Anomaly Detection in Distributed Systems
Armin Danesh Pazho, Ghazal Alinezhad Noghre, Arnab A Purkayastha, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 36, Iss. 1, pp. 1-20
Open Access | Times Cited: 20

A Deep-Learning-Based Solution for Securing the Power Grid Against Load Altering Threats by IoT-Enabled Devices
Hamidreza Jahangir, Subhash Lakshminarayana, Carsten Maple, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 12, pp. 10687-10697
Open Access | Times Cited: 19

System for automated Quality Control (SaQC) to enable traceable and reproducible data streams in environmental science
Lennart Schmidt, David Schäfer, Juliane Geller, et al.
Environmental Modelling & Software (2023) Vol. 169, pp. 105809-105809
Open Access | Times Cited: 19

Deep learning models for building window-openings detection in heating season
Enguerrand de Rautlin de la Roy, Thomas Recht, Akka Zemmari, et al.
Building and Environment (2023) Vol. 231, pp. 110019-110019
Open Access | Times Cited: 16

Recent advances in anomaly detection in Internet of Things: Status, challenges, and perspectives
Deepak Adhikari, Wei Jiang, Jinyu Zhan, et al.
Computer Science Review (2024) Vol. 54, pp. 100665-100665
Closed Access | Times Cited: 7

A critical review on system architecture, techniques, trends and challenges in intelligent predictive maintenance
Suraj Gupta, Akhilesh Kumar, J. Maiti
Safety Science (2024) Vol. 177, pp. 106590-106590
Closed Access | Times Cited: 6

Anomaly Detection in Healthcare Monitoring Survey
Ayman Ali, Ahmed Ashraf, Kamel H. Rahouma
Practice, progress, and proficiency in sustainability (2025), pp. 29-56
Closed Access

A Two-Step Machine Learning Approach for Predictive Maintenance and Anomaly Detection in Environmental Sensor Systems
Sai Prasad Potharaju, Ravi Kumar Tirandasu, Swapnali N Tambe, et al.
MethodsX (2025), pp. 103181-103181
Open Access

Detection of Security Attacks in Industrial IoT Networks: A Blockchain and Machine Learning Approach
Henry Vargas, Carlos Lozano-Garzón, Germán A. Montoya, et al.
Electronics (2021) Vol. 10, Iss. 21, pp. 2662-2662
Open Access | Times Cited: 36

Smart Anomaly Detection and Prediction for Assembly Process Maintenance in Compliance with Industry 4.0
Pavol Tanuška, Lukáš Špendla, Michal Kebísek, et al.
Sensors (2021) Vol. 21, Iss. 7, pp. 2376-2376
Open Access | Times Cited: 34

Big Machinery Data Preprocessing Methodology for Data-Driven Models in Prognostics and Health Management
Sergio Cofre-Martel, Enrique López Droguett, Mohammad Modarres
Sensors (2021) Vol. 21, Iss. 20, pp. 6841-6841
Open Access | Times Cited: 32

A space-embedding strategy for anomaly detection in multivariate time series
Zhiwei Ji, Yi Wang, Ke Yan, et al.
Expert Systems with Applications (2022) Vol. 206, pp. 117892-117892
Closed Access | Times Cited: 22

Normality Guided Multiple Instance Learning for Weakly Supervised Video Anomaly Detection
Seongheon Park, Hanjae Kim, Minsu Kim, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2023), pp. 2664-2673
Closed Access | Times Cited: 15

Coupled Attention Networks for Multivariate Time Series Anomaly Detection
Feng Xia, Xin Chen, Shuo Yu, et al.
IEEE Transactions on Emerging Topics in Computing (2023) Vol. 12, Iss. 1, pp. 240-253
Open Access | Times Cited: 14

Generative adversarial nets for unsupervised outlier detection
Xusheng Du, Jiaying Chen, Jiong Yu, et al.
Expert Systems with Applications (2023) Vol. 236, pp. 121161-121161
Closed Access | Times Cited: 13

Development and implementation of real-time anomaly detection on tool wear based on stacked LSTM encoder-decoder model
Taisuke Oshida, Tomohiro Murakoshi, Libo ZHOU, et al.
The International Journal of Advanced Manufacturing Technology (2023) Vol. 127, Iss. 1-2, pp. 263-278
Closed Access | Times Cited: 12

Anomaly Detection Techniques in Smart Grid Systems: A Review
Shampa Banik, Sohag Kumar Saha, Trapa Banik, et al.
2022 IEEE World AI IoT Congress (AIIoT) (2023), pp. 0331-0337
Open Access | Times Cited: 12

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