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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:

Anomaly detection in predictive maintenance: A new evaluation framework for temporal unsupervised anomaly detection algorithms
Jacinto Carrasco, David López, Ignacio Aguilera-Martos, et al.
Neurocomputing (2021) Vol. 462, pp. 440-452
Open Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Paradigm Shift for Predictive Maintenance and Condition Monitoring from Industry 4.0 to Industry 5.0: A Systematic Review, Challenges and Case Study
Aitzaz Ahmed Murtaza, Amina Saher, Muhammad Hamza Zafar, et al.
Results in Engineering (2024), pp. 102935-102935
Open Access | Times Cited: 22
Enhancing speech emotion recognition with the Improved Weighted Average Support Vector method
Xiwen Zhang, Hui Xiao
Biomedical Signal Processing and Control (2024) Vol. 93, pp. 106140-106140
Closed Access | Times Cited: 6
A Text-Based Predictive Maintenance Approach for Facility Management Requests Utilizing Association Rule Mining and Large Language Models
Maximilian Lowin
Machine Learning and Knowledge Extraction (2024) Vol. 6, Iss. 1, pp. 233-258
Open Access | Times Cited: 5
Internet of Things-Based Automated Solutions Utilizing Machine Learning for Smart and Real-Time Irrigation Management: A Review
Bryan Nsoh, Abia Katimbo, Hongzhi Guo, et al.
Sensors (2024) Vol. 24, Iss. 23, pp. 7480-7480
Open Access | Times Cited: 5
Three-way unsupervised anomaly detection of sequential patterns
Gong-Suo Chen, Tirapot Chandarasupsang, Zhiheng Zhang, et al.
International Journal of Machine Learning and Cybernetics (2025)
Closed Access
Fusing anomaly detection with false positive mitigation methodology for predictive maintenance under multivariate time series
David López, Ignacio Aguilera-Martos, Marta García-Bárzana, et al.
Information Fusion (2023) Vol. 100, pp. 101957-101957
Open Access | Times Cited: 10
An Iterative Method for Unsupervised Robust Anomaly Detection Under Data Contamination
Minkyung Kim, Jongmin Yu, Junsik Kim, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 10, pp. 13327-13339
Open Access | Times Cited: 9
Unsupervised detecting anomalies in multivariate time series by Robust Convolutional LSTM Encoder–Decoder (RCLED)
Tuan M. V. Le, Hai Canh Vu, Amélie Ponchet-Durupt, et al.
Neurocomputing (2024) Vol. 592, pp. 127791-127791
Closed Access | Times Cited: 2
Towards Detection of Anomalies in Automated Guided Vehicles Based on Telemetry Data
Paweł Benecki, Daniel Kostrzewa, Marek Drewniak, et al.
Lecture notes in computer science (2024), pp. 192-207
Closed Access | Times Cited: 2
Prediction of Maintenance Activities Using Generalized Sequential Pattern and Association Rules in Data Mining
Abbas Al‐Refaie, Banan Abu Hamdieh, Natalija Lepkova
Buildings (2023) Vol. 13, Iss. 4, pp. 946-946
Open Access | Times Cited: 6
Sensor-Based Predictive Maintenance with Reduction of False Alarms—A Case Study in Heavy Industry
Marek Hermansa, Michał Kozielski, Marcin Michalak, et al.
Sensors (2021) Vol. 22, Iss. 1, pp. 226-226
Open Access | Times Cited: 15
Selecting the best tools and framework to evaluate equipment malfunctions and improve the OEE in the cork industry
Paulo Vinícius Tertuliano Marinho, Daniel Pimentel, R.B. Casais, et al.
International Journal of Industrial Engineering and Management (2021) Vol. 12, Iss. 4, pp. 286-298
Open Access | Times Cited: 14
Adaptive visual detection of industrial product defects
Haigang Zhang, Dong Wang, Zhibin Chen, et al.
PeerJ Computer Science (2023) Vol. 9, pp. e1264-e1264
Open Access | Times Cited: 5
In-Vehicle Network Injection Attacks Detection Based on Feature Selection and Classification
Haojie Ji, Liyong Wang, Hongmao Qin, et al.
Automotive Innovation (2024) Vol. 7, Iss. 1, pp. 138-149
Closed Access | Times Cited: 1
Engineering and evaluating an unsupervised predictive maintenance solution: a cold-forming press case-study
Apostolos Giannoulidis, Anastasios Gounaris, Athanasios Naskos, et al.
Journal of Intelligent Manufacturing (2024)
Open Access | Times Cited: 1
Disrupting Downtime: Different Deep Learning Journeys into Predictive Maintenance Anomaly Detection
Hayriye Tanyıldız, Canan Batur Şahin, Özlem BATUR DİNLER
NATURENGS MTU Journal of Engineering and Natural Sciences Malatya Turgut Ozal University (2024)
Open Access | Times Cited: 1
10-Minute forest early wildfire detection: Fusing multi-type and multi-source information via recursive transformer
Qiang Zhang, Jian Zhu, Yushuai Dong, et al.
Neurocomputing (2024), pp. 128963-128963
Closed Access | Times Cited: 1
Black-box error diagnosis in Deep Neural Networks for computer vision: a survey of tools
Piero Fraternali, Federico Milani, Rocio Nahime Torres, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 4, pp. 3041-3062
Open Access | Times Cited: 7
Real-Time Defect Monitoring of Laser Micro-drilling Using Reflective Light and Machine Learning Models
Yong Kwan Lee, Sumin Lee, Sung Hwan Kim
International Journal of Precision Engineering and Manufacturing (2023) Vol. 25, Iss. 1, pp. 155-164
Open Access | Times Cited: 3
Correlation-based feature partition regression method for unsupervised anomaly detection
Zhiyu Liu, Xin Gao, Xin Jia, et al.
Applied Intelligence (2022) Vol. 52, Iss. 13, pp. 15074-15090
Closed Access | Times Cited: 5
Developing an Anomaly Detection System for Automatic Defective Products’ Inspection
Yu-Hsin Hung
Processes (2022) Vol. 10, Iss. 8, pp. 1476-1476
Open Access | Times Cited: 5
The quality inspection method of piston compressor assisted with the XGBOD model
Jiangqing Wang, Xinqiao Jin, Yuan Lyu, et al.
International Journal of Refrigeration (2023) Vol. 150, pp. 158-169
Closed Access | Times Cited: 2
ODIN AD: A Framework Supporting the Life-Cycle of Time Series Anomaly Detection Applications
Niccoló Zangrando, Piero Fraternali, Rocio Nahime Torres, et al.
Lecture notes in computer science (2023), pp. 181-196
Open Access | Times Cited: 2
Using an Explainable Machine Learning Approach to Minimize Opportunistic Maintenance Interventions
Afonso Lourenço, Marta Fernandes, Alda Canito, et al.
Communications in computer and information science (2022), pp. 41-54
Closed Access | Times Cited: 3
Unsupervised Optimal Anomaly Detection Model Selection in Power Data
Guangrong Yu, Qinsheng Yang, Yongjin Zhu, et al.
2021 China Automation Congress (CAC) (2022), pp. 5661-5666
Closed Access | Times Cited: 3
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