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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:

Fault Handling in Industry 4.0: Definition, Process and Applications
Heiko Webert, Tamara Döß, Lukas Kaupp, et al.
Sensors (2022) Vol. 22, Iss. 6, pp. 2205-2205
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

A review on effective alarm management systems for industrial process control: Barriers and opportunities
Faizan E Mustafa, Ijaz Ahmed, Abdul Basit, et al.
International Journal of Critical Infrastructure Protection (2023) Vol. 41, pp. 100599-100599
Closed Access | Times Cited: 30
Fault Detection for Motor Drive Control System of Industrial Robots Using CNN-LSTM-based Observers
Tao Wang, Le Zhang, Xuefei Wang
CES Transactions on Electrical Machines and Systems (2023) Vol. 7, Iss. 2, pp. 144-152
Open Access | Times Cited: 26
Data-Driven Process Monitoring and Fault Diagnosis: A Comprehensive Survey
Afrânio Melo, Maurício Melo Câmara, José Carlos Pinto
Processes (2024) Vol. 12, Iss. 2, pp. 251-251
Open Access | Times Cited: 11
A practical investigation of ML and Industry 4.0 for reactive fault detection in manufacturing systems
Heiko Webert, Stephan Simons, Alan McGibney
Procedia Computer Science (2025) Vol. 253, pp. 1800-1809
Open Access
New trends in applied machine intelligence
Bernhard G. Humm, Lillian Blum, Johannes Busse, et al.
Informatik-Spektrum (2025)
Open Access
CONELPABO: composite networks learning via parallel Bayesian optimization to predict remaining useful life in predictive maintenance
David Solís-Martín, Juan Galán-Páez, Joaquín Borrego-Dí­az
Neural Computing and Applications (2025)
Open Access
Test Case Prioritization, Selection, and Reduction Using Improved Quantum-Behaved Particle Swarm Optimization
Anu Bajaj, Ajith Abraham, Saroj Ratnoo, et al.
Sensors (2022) Vol. 22, Iss. 12, pp. 4374-4374
Open Access | Times Cited: 16
Machine vision system for automatic defect detection of ultrasound probes
Andrea Profili, Roberto Magherini, Michaela Servi, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 135, Iss. 7-8, pp. 3421-3435
Open Access | Times Cited: 3
Improvement of Failure Mode and Effects Analysis Using Fuzzy and Adaptive Neuro-Fuzzy Inference System
Jelena Ivančan, Dragutin Lisjak, Duško Pavletić, et al.
Machines (2023) Vol. 11, Iss. 7, pp. 739-739
Open Access | Times Cited: 6
Concept of a causality-driven fault diagnosis system for cyber-physical production systems
Carl Willy Mehling, Sven Pieper, Steffen Ihlenfeldt
(2023), pp. 1-8
Closed Access | Times Cited: 5
Fault detection and classification using deep learning method and neuro‐fuzzy algorithm in a smart distribution grid
Camille Franklin Mbey, Vinny Junior Foba Kakeu, Alexandre Teplaira Boum, et al.
The Journal of Engineering (2023) Vol. 2023, Iss. 11
Open Access | Times Cited: 5
Research on a Service Touchpoint Design Model Driven by Smart Technology Based on Kano–Failure Modes and Effects Analysis
Jian Chen, Zhihan Li, Weiwei Wang, et al.
Sensors (2024) Vol. 24, Iss. 23, pp. 7854-7854
Open Access | Times Cited: 1
Mutual combination of selected principles and technologies of Industry 4.0 and quality management methods - case study
Pavel Klaput, Radim Hercík, Zdeněk Macháček, et al.
Quality Engineering (2023) Vol. 36, Iss. 2, pp. 207-226
Open Access | Times Cited: 4
Development of a hybrid predictive maintenance model
Jakub Wiercioch
Journal of Konbin (2023) Vol. 53, Iss. 2, pp. 141-158
Open Access | Times Cited: 4
Advanced Data Augmentation Techniques for Enhanced Fault Diagnosis in Industrial Centrifugal Pumps
Dong-Yun Kim, Akeem Bayo Kareem, Daryl Domingo, et al.
Journal of Sensor and Actuator Networks (2024) Vol. 13, Iss. 5, pp. 60-60
Open Access | Times Cited: 1
A Semi-Automated 3D-Printed Chainmail Design Algorithm with Preprogrammed Directional Functions for Hand Exoskeleton
Jakub Kopowski, Dariusz Mikołajewski, Piotr Kotlarz, et al.
Applied Sciences (2022) Vol. 12, Iss. 10, pp. 5007-5007
Open Access | Times Cited: 6
Deep Learning in Design of Semi-Automated 3D Printed Chainmail with Pre-Programmed Directional Functions for Hand Exoskeleton
Izabela Rojek, Jakub Kopowski, Piotr Kotlarz, et al.
Applied Sciences (2022) Vol. 12, Iss. 16, pp. 8106-8106
Open Access | Times Cited: 6
Using Tacit Expert Knowledge to Support Shop-floor Operators Through a Knowledge-based Assistance System
Lorenz Hoerner, Markus Schamberger, Freimut Bodendorf
Computer Supported Cooperative Work (CSCW) (2022) Vol. 32, Iss. 1, pp. 55-91
Open Access | Times Cited: 5
Machine learning applications in Cyber-Physical Production Systems: a survey
Zili Zhang, Chao Liu, Jun Zhang, et al.
2022 27th International Conference on Automation and Computing (ICAC) (2022)
Closed Access | Times Cited: 4
Multi-Fault Diagnosis Based on Hybrid Bio-Inspired Algorithm ACO-GA
Achouche Sabrina, Fatima Debbat
International Journal of Applied Metaheuristic Computing (2024) Vol. 15, Iss. 1, pp. 1-20
Open Access
Deep learning-based embedded network traffic monitoring techniques
Mingkang Zhang, Yunxi Li, Guangzhe Lv
(2024), pp. 116-116
Closed Access
Application of FMEA in the automotive industry: Present situation and perspectives in the Republic of Serbia
Danijela Tadić, Nikola Banduka, Tijana Petrović, et al.
Trendovi u poslovanju (2024) Vol. 12, Iss. 1, pp. 127-135
Open Access
Modelling the Prioritisation of Technical Objects Using the EPN Indicator
Oliwia Powichrowska, Jakub Wiercioch, Bożena Zwolińska
Energies (2024) Vol. 17, Iss. 23, pp. 6170-6170
Open Access
Anomaly Detection Based on Graph Convolutional Network–Variational Autoencoder Model Using Time-Series Vibration and Current Data
Seung-Hwan Choi, Dawn An, Inho Lee, et al.
Mathematics (2024) Vol. 12, Iss. 23, pp. 3750-3750
Open Access
Enhanced Dual Convolutional Neural Network Model Using Explainable Artificial Intelligence of Fault Prioritization for Industrial 4.0
Sekar Kidambi Raju, Seethalakshmi Ramaswamy, Marwa M. Eid, et al.
Sensors (2023) Vol. 23, Iss. 15, pp. 7011-7011
Open Access | Times Cited: 1
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