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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 general anomaly detection framework for fleet-based condition monitoring of machines
Kilian Hendrickx, Wannes Meert, Yves Mollet, et al.
Mechanical Systems and Signal Processing (2020) Vol. 139, pp. 106585-106585
Open Access | Times Cited: 51

Showing 26-50 of 51 citing articles:

Similarity-based anomaly score for fleet-based condition monitoring
Kilian Hendrickx, Wannes Meert, Bram Cornelis, et al.
Annual Conference of the PHM Society (2020) Vol. 12, Iss. 1, pp. 9-9
Open Access | Times Cited: 4
Unsupervised Outlier Detection Mechanism for Tea Traceability Data
Honggang Yang, Shaowen Li, Lijing Tu, et al.
IEEE Access (2022) Vol. 10, pp. 94818-94831
Open Access | Times Cited: 3
An End-to-end Deep Clustering Method with Consistency and Complementarity Attention Mechanism for Multisensor Fault Diagnosis
Zhangjun Wu, Gang Fang, Yifei Wang, et al.
Applied Soft Computing (2024) Vol. 158, pp. 111594-111594
Closed Access
Deep Multiscale Soft-Threshold Support Vector Data Description for Enhanced Heavy-Duty Gas Turbine Generator Sets’ Anomaly Detection
Zhang Kun, Li Hongren, Wang Xin, et al.
Shock and Vibration (2024) Vol. 2024, pp. 1-16
Open Access
Steam Turbine Anomaly Detection: An unsupervised learning using Enhanced LSTM Variational Autoencoder
Peng Zhang, Wei-Ming Xu
Research Square (Research Square) (2024)
Open Access
A Multilevel Branch Neural Network With Self-Evolution for Condition Monitoring of Industrial Equipment Under Incomplete Training Data Set Scenario
Qizhao Wang, Kai Wang, Peng Zeng, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 19, pp. 31355-31367
Closed Access
Evaluation Metrics: A Review of Decision Methods for Vibration Based Condition Monitoring
Ietezaz Ul Hassan, Krishna Panduru, J. L. Walsh
(2024), pp. 1-6
Closed Access
Rulman Titreşim Verilerinden Derin Öğrenme Tabanlı Arıza Tespiti
Engin Oğuzay, Murat Balta
Karadeniz Fen Bilimleri Dergisi (2024) Vol. 14, Iss. 3, pp. 1159-1175
Open Access
Multi-Machine Gaussian Topic Modeling for Predictive Maintenance
Alexander Karlsson, Ebru Turanoğlu Bekar, Anders Skoogh
IEEE Access (2021) Vol. 9, pp. 100063-100080
Open Access | Times Cited: 4
Multimodal Machine Learning in Prognostics and Health Management of Manufacturing Systems
Sagar Jose, Khanh T.P. Nguyen, Kamal Medjaher
Springer series in reliability engineering (2023), pp. 167-197
Closed Access | Times Cited: 1
FRAN-X: An improved diagnostic transfer learning approach with application to ball bearings fault diagnosis
Leandro Pitturelli, Mirko Mazzoleni, L. Rillosi, et al.
IFAC-PapersOnLine (2023) Vol. 56, Iss. 2, pp. 7716-7721
Open Access | Times Cited: 1
Data-Driven Predictive Maintenance: A Methodology Primer
Tania Cerquitelli, Nikolaos Nikolakis, Lia Morra, et al.
Information fusion and data science (2021), pp. 39-73
Closed Access | Times Cited: 3
A conformal anomaly detection based industrial fleet monitoring framework: A case study in district heating
Shiraz Farouq, Stefan Byttner, Mohamed-Rafik Bouguelia, et al.
Expert Systems with Applications (2022) Vol. 201, pp. 116864-116864
Closed Access | Times Cited: 2
Explainable artificial intelligence approaches for fault diagnosis in rotating machinery
Lucas Costa Brito
(2022)
Open Access | Times Cited: 2
An Embedded AI-Based Smart Intrusion Detection System for Edge-to-Cloud Systems
Ritu Ranjan Shrivastwa, Zakaria Bouakka, Thomas Perianin, et al.
Communications in computer and information science (2022), pp. 20-39
Open Access | Times Cited: 2
Physically Inspired Data Compression and Management for Industrial Data Analytics
Ramin Sabbagh, Zicheng Cai, Alec Stothert, et al.
Frontiers in Computer Science (2020) Vol. 2
Open Access | Times Cited: 2
VERİ ODAKLI HATA TEŞHİS SİSTEMİ GELİŞTİRİLMESİ
Metin Yılmaz, Ahmet Yazıcı, E. Miné Cinar
Eskişehir Osmangazi Üniversitesi mühendislik ve mimarlık fakültesi dergisi :/Osmangazi Üniversitesi Mühendislik-Mimarlık Fakültesi dergisi (2020) Vol. 28, Iss. 3, pp. 289-298
Open Access | Times Cited: 2
Anomaly Detection System for Stepper Motors
Labib Sharrar
International Journal of Engineering Research in Electronics and Communication Engineering (2022) Vol. 9, Iss. 6, pp. 26-35
Open Access | Times Cited: 1
An Explainable Artificial Intelligence Approach for Unsupervised Fault Detection and Diagnosis in Rotating Machinery
Lucas Costa Brito, Gian Antonio Susto, Jorge Nei Brito, et al.
(2021)
Closed Access | Times Cited: 1
A Novel Deep Soft Clustering for Unsupervised Univariate Times Series
Alexandre Eid, Guy Clerc, Badr Mansouri
(2021)
Closed Access | Times Cited: 1
A comparison of envelope and statistical analyses for bearing diagnosis in hot steel rolling mill lines
Kisan Sarda, Antonio Acernese, Luigi Russo, et al.
IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society (2021), pp. 1-6
Closed Access | Times Cited: 1
A Simple Yet Effective Data Augmentation for Self-Supervised Multi-stage Centrifugal Pump (MCP) Anomaly Detection
Jiapeng Wu, Diego Cabrera, Mariela Cerrada, et al.
(2023), pp. 1-6
Closed Access
Scaling Up Deep Learning Based Predictive Maintenance for Commercial Machine Fleets: a Case Study
Markus Ulmer, Jannik Zgraggen, Gianmarco Pizza, et al.
(2022), pp. 40-46
Closed Access
Fleet learning-based fault detection and diagnosis in the open world
Xiaomeng Peng
(2022)
Open Access
Industrial Digitisation and Maintenance: Present and Future
Massimo Ippolito, Nikolaos Nikolakis, Tania Cerquitelli, et al.
Information fusion and data science (2021), pp. 3-18
Closed Access

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