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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:

Explainable anomaly detection for Hot-rolling industrial process
Jakub Jakubowski, Przemysław Stanisz, Szymon Bobek, et al.
2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA) (2021), pp. 1-10
Closed Access | Times Cited: 20

Showing 20 citing articles:

A Survey on Explainable Anomaly Detection
Zhong Li, Yuxuan Zhu, Matthijs van Leeuwen
ACM Transactions on Knowledge Discovery from Data (2023) Vol. 18, Iss. 1, pp. 1-54
Open Access | Times Cited: 41
Explainable Predictive Maintenance: A Survey of Current Methods, Challenges and Opportunities
Logan Cummins, Alexander Sommers, Somayeh Bakhtiari Ramezani, et al.
IEEE Access (2024) Vol. 12, pp. 57574-57602
Open Access | Times Cited: 19
Variable Selection Algorithm for Explaining Anomalies in Real-World Regenerative Thermal Oxidizers
Minji Seo, Myung Ho Kim
Applied Artificial Intelligence (2025) Vol. 39, Iss. 1
Open Access
Anomaly Detection in Asset Degradation Process Using Variational Autoencoder and Explanations
Jakub Jakubowski, Przemysław Stanisz, Szymon Bobek, et al.
Sensors (2021) Vol. 22, Iss. 1, pp. 291-291
Open Access | Times Cited: 30
Enhancing Cluster Analysis With Explainable AI and Multidimensional Cluster Prototypes
Szymon Bobek, Michał Kuk, Maciej Szelążek, et al.
IEEE Access (2022) Vol. 10, pp. 101556-101574
Open Access | Times Cited: 19
A Systematic Literature Review on Artificial Intelligence and Explainable Artificial Intelligence for Visual Quality Assurance in Manufacturing
Rudolf Hoffmann, Christoph Reich
Electronics (2023) Vol. 12, Iss. 22, pp. 4572-4572
Open Access | Times Cited: 8
Attributions for ML-based ICS Anomaly Detection: From Theory to Practice
Clement Fung, Eric Zeng, Lujo Bauer
(2024)
Open Access | Times Cited: 2
Explaining anomalies in coal proximity and coal processing data with Shapley and tree-based models
Xiu Liu, Chris Aldrich
Fuel (2022) Vol. 335, pp. 126891-126891
Closed Access | Times Cited: 12
Coupling of an analytical rolling model and reinforcement learning to design pass schedules: towards properties controlled hot rolling
Christian Idzik, A. Krämer, G. Hirt, et al.
Journal of Intelligent Manufacturing (2023) Vol. 35, Iss. 4, pp. 1469-1490
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
Failure Detection and Primary Cause Identification of Multivariate Time Series Data in Semiconductor Equipment
Minjae Baek, Seoung Bum Kim
IEEE Access (2023) Vol. 11, pp. 54363-54372
Open Access | Times Cited: 5
Contextual Explanations for Decision Support in Predictive Maintenance
Michał Kozielski
Applied Sciences (2023) Vol. 13, Iss. 18, pp. 10068-10068
Open Access | Times Cited: 5
Unveiling Climate Drivers via Feature Importance Shift Analysis in New Zealand
B. Chen, Gillian Dobbie, Neelesh Rampal, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 4595-4606
Closed Access
Prediction of spring steel wire rod hardness based on wire rod rolling process data: a case study
Seok-Kyu Pyo, Dong‐Hee Lee, Sung-Jun Hur, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 133, Iss. 1-2, pp. 1011-1024
Closed Access
Preemptive Failure Detection using Contamination-Based Stacking Ensemble in Missiles
Seong-Mok Kim, Ye‐Eun Jeong, Yong Kim, et al.
KSII Transactions on Internet and Information Systems (2024) Vol. 18, Iss. 5
Open Access
Enhancing Trustworthiness in AI-Based Prognostics: A Comprehensive Review of Explainable AI for PHM
Duc An Nguyen, Khanh T.P. Nguyen, Kamal Medjaher
Springer series in reliability engineering (2024), pp. 101-136
Closed Access
Benchmarking Control Charts and Machine Learning Methods for Fault Prediction in Manufacturing
Sebastian Beckschulte, J. Mohren, Louis Huebser, et al.
Lecture notes in production engineering (2023), pp. 545-554
Closed Access | Times Cited: 1
Poster: Human-in-the-Loop Anomaly Detection in Industrial Data Streams
Jakub Jakubowski, Szymon Bobek, Grzegorz J. Nalepa
(2023), pp. 1-2
Closed Access | Times Cited: 1
Anomaly Detection in a Combined Driving System based on Unsupervised Learning
Kichang Park, Yongkwan Lee
Journal of the Korean Society for Precision Engineering (2023) Vol. 40, Iss. 11, pp. 921-928
Closed Access | Times Cited: 1
A Two-Step Method of Statistical Difference Testing and K-Means Clustering for Identifying Quality Factors of Small Steel Bars
Dong‐Hee Lee, Kwang-Ho Jeong
Advances in transdisciplinary engineering (2023)
Open Access
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