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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:

A Novel Methodology for Unsupervised Anomaly Detection in Industrial Electrical Systems
Marco Carratù, Vincenzo Gallo, Salvatore Dello Iacono, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-12
Open Access | Times Cited: 19

Showing 19 citing articles:

Ultraviolet Imaging of External Insulation Discharge of Electrical Equipment Based on Diffusion Model Detection
Haili Gao, Jianzhong Hu, Wei Wu, et al.
IEEJ Transactions on Electrical and Electronic Engineering (2025)
Closed Access
Anomaly Detection Solutions: The Dynamic loss Approach in VAE for Manufacturing and IoT Environment
Praveen Vijai, P. Bagavathi Sivakumar
Results in Engineering (2025) Vol. 25, pp. 104277-104277
Open Access
Intelligent System for Conformity Assessment Testing on the Energy Performance of Household Appliances—A South African Perspective
Isaih Kgabe Molepo, Elisha Didam Markus, Adnan M. Abu‐Mahfouz
Springer proceedings in earth and environmental sciences (2025), pp. 226-237
Closed Access
Condition Monitoring of Electric Machines: Modern Frameworks and Data-Driven Methodologies
Wesley Doorsamy
Machines (2025) Vol. 13, Iss. 2, pp. 144-144
Open Access
Real-Time Monitoring of Energy Contributions in Renewable Energy Communities Through an IoT Measurement System
Francesco Bonavolontà, Annalisa Liccardo, Fabio Mottola, et al.
Sensors (2025) Vol. 25, Iss. 5, pp. 1402-1402
Open Access
Audible Noise Evaluation in Wind Turbines Through Artificial Intelligence Techniques
M. F. Silva, Juliano Emir Nunes Masson, M. F. Santos, et al.
Sensors (2025) Vol. 25, Iss. 5, pp. 1492-1492
Open Access
MT-Former: Multi-Task Hybrid Transformer and Deep Support Vector Data Description to Detect Novel anomalies during Semiconductor Manufacturing
Hyunsu Jeong, Chiho Yoon, Hyunseok Lim, et al.
Deleted Journal (2025) Vol. 6, pp. 1-1
Closed Access
Unsupervised novelty detection for time series using a deep learning approach
Md. Jakir Hossen, Jesmeen Mohd Zebaral Hoque, Nor Azlina binti Abdul Aziz, et al.
Heliyon (2024) Vol. 10, Iss. 3, pp. e25394-e25394
Open Access | Times Cited: 3
IoT Measurement System for Monitoring the Energy Exchanges in Renewable Energy Communities
Annalisa Liccardo, Francesco Bonavolontà, Fabio Mottola, et al.
(2024), pp. 39-44
Closed Access | Times Cited: 1
Unmanned Aerial Vehicle Flight Data Anomaly Detection Based on Multi-Rate Aware LSTM
Hui Lu, Zan Wang, Yuhui Shi
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-13
Closed Access | Times Cited: 1
Anomaly Detection for Power Quality Analysis Using Smart Metering Systems
Gabriele Patrizi, Cristian Garzón Alfonso, Leandro Calandroni, et al.
Sensors (2024) Vol. 24, Iss. 17, pp. 5807-5807
Open Access | Times Cited: 1
A Novel Unsupervised Anomaly Detection Framework for Early Fault Detection in Complex Industrial Settings
Eduardo A. Hinojosa-Palafox, Oscar M. Rodríguez-Elias, Jesús Pacheco, et al.
IEEE Access (2024) Vol. 12, pp. 181823-181845
Open Access | Times Cited: 1
Remaining Useful Life estimation for MEMS-based transducers
Marco Carratù, Vincenzo Gallo, Paolo Sommella, et al.
2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) (2024), pp. 1-6
Closed Access
Propagation of Measurement Uncertainty in IMU Orientation Tracking Algorithms
Daniele Buonocore, Marco Carratù, Vincenzo Gallo, et al.
(2024), pp. 65-69
Closed Access
Introduction to clustering unsupervised machine learning algorithms applied to power quality disturbances
Marcantonio Catelani, Lorenzo Ciani, Cristian Garzón Alfonso, et al.
(2024), pp. 286-291
Closed Access
A Hierarchical Coarse-to-Fine Fault Diagnosis Method for Industrial Processes based on Decision Fusion of Class-Specific Stacked Autoencoders
Huihui Gao, Xiaoran Zhang, Xuejin Gao, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-14
Closed Access
A digital twin framework for anomaly detection in industrial robot system based on multiple physics-informed hybrid convolutional autoencoder
Shijie Wang, Jianfeng Tao, Qincheng Jiang, et al.
Journal of Manufacturing Systems (2024) Vol. 77, pp. 798-809
Closed Access
Reconfigurable measurement setup for laboratory activities in augmented reality
Francesco Bonavolontà, Domenico Luca Carní, Francesco de Pandi, et al.
Measurement Sensors (2024), pp. 101321-101321
Open Access
Development of a methodology for MEMS accelerometer health state estimation
Marco Carratù, Vincenzo Gallo, Paolo Sommella, et al.
Measurement Sensors (2024), pp. 101604-101604
Open Access
A first proposal of diagnostic strategy for microelectronics using resistance measurement under dynamic mechanical loads
Gabriele Patrizi, Lorenzo Ciani, Marcantonio Catelani, et al.
Measurement Sensors (2024), pp. 101602-101602
Open Access
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