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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:

Predictive maintenance based on anomaly detection using deep learning for air production unit in the railway industry
Narjes Davari, Bruno Veloso, Rita P. Ribeiro, et al.
2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA) (2021), pp. 1-10
Closed Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Improved LSTM-Based Time-Series Anomaly Detection in Rail Transit Operation Environments
Yujie Wang, Xin Du, Zhihui Lu, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 18, Iss. 12, pp. 9027-9036
Closed Access | Times Cited: 85
Anomaly Detection in Smart Environments: A Comprehensive Survey
Daniel Fährmann, Laura Martín, Luı́s Sánchez, et al.
IEEE Access (2024) Vol. 12, pp. 64006-64049
Open Access | Times Cited: 6
Platform health management for aircraft maintenance – a review
Andrews Darfour Kwakye, Ian Jennions, Cordelia Mattuvarkuzhali Ezhilarasu
Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering (2024) Vol. 238, Iss. 3, pp. 267-283
Open Access | Times Cited: 5
Artificial Intelligence-Based Fault Diagnosis for Steam Traps Using Statistical Time Series Features and a Transformer Encoder-Decoder Model
C. H. Kim, K. R. Cho, Inwhee Joe
Electronics (2025) Vol. 14, Iss. 5, pp. 1010-1010
Open Access
The MetroPT dataset for predictive maintenance
Bruno Veloso, Rita P. Ribeiro, João Gama, et al.
Scientific Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 23
A Systematic Literature Review of the Predictive Maintenance from Transportation Systems Aspect
Olcay Özge Ersöz, Ali Fırat İnal, Adnan Aktepe, et al.
Sustainability (2022) Vol. 14, Iss. 21, pp. 14536-14536
Open Access | Times Cited: 22
Time consideration in machine learning models for train comfort prediction using LSTM networks
Pablo Garrido Martínez–Llop, Juan de Dios Sanz Bobi, Manuel Olmedo Ortega
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106303-106303
Open Access | Times Cited: 13
Enhancing Predictive Maintenance in Water Treatment Plants through Sparse Autoencoder Based Anomaly Detection
Zain Hussein, V Balaji, R Ramesh, et al.
Journal of Machine and Computing (2024), pp. 279-289
Open Access | Times Cited: 1
Anomaly Detection Approach in Industrial Control Systems Based on Measurement Data
Xiaosong Zhao, Lei Zhang, Yixin Cao, et al.
Information (2022) Vol. 13, Iss. 10, pp. 450-450
Open Access | Times Cited: 7
iPDP: On Partial Dependence Plots in Dynamic Modeling Scenarios
Maximilian Muschalik, Fabian Fumagalli, Rohit Jagtani, et al.
Communications in computer and information science (2023), pp. 177-194
Closed Access | Times Cited: 3
iSAGE: An Incremental Version of SAGE for Online Explanation on Data Streams
Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, et al.
Lecture notes in computer science (2023), pp. 428-445
Closed Access | Times Cited: 3
Predictive Maintenance, Adversarial Autoencoders and Explainability
Miguel Silva, Bruno Veloso, João Gama
Lecture notes in computer science (2023), pp. 260-275
Closed Access | Times Cited: 3
AI Based Predictive Maintenance as a Key Enabler for Circular Economy: The KYKLOS 4.0 Approach
Yacine Rebahi, Benjamin Hilliger, Patrick Lowin, et al.
(2023), pp. 367-372
Closed Access | Times Cited: 3
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
Tram Air Conditioning Fault Prediction Using Machine Learning
Suman, Essa Q. Shahra, AbdulRahman A. Alsewari, et al.
Lecture notes in computer science (2024), pp. 84-94
Closed Access
Integration of Deep Learning Techniques in Mechatronic Devices and Systems: Advancement, Challenges, and Opportunities
Oluwadare Adepeju Adebisi, Abimbola Afolayan, Idowu Adetona Ayoade, et al.
(2024), pp. 1-6
Closed Access
Digital Sensor Forecasting for Metro Air Units: A Vector Autoregression Approach
Sarvesh Barapatre, Omkar Gangurde, Rohit Bibwe, et al.
(2024), pp. 1-4
Closed Access
Early Failure Detection for Air Production Unit in Metro Trains
Amelia Zafra, Bruno Veloso, João Gama
Lecture notes in computer science (2024), pp. 339-351
Closed Access
A Strategy for Predicting the Performance of Supervised and Unsupervised Tabular Data Classifiers
Tommaso Zoppi, Andrea Ceccarelli, Andrea Bondavalli
Data Science and Engineering (2024)
Open Access
A multi-task model for failure identification and GPS assessment in metro trains
Pratik Jadhav, S. Vaaheedha Kfatheen N.A., Siddharth Sonkavade, et al.
AIMS environmental science (2024) Vol. 11, Iss. 6, pp. 960-986
Open Access
Real-Time Anomaly Detection with LSTM-Autoencoder Network on Microcontrollers for Industrial Applications
Md Nur Amin, Lea Hübner, Fatih S. Bayram, et al.
(2024), pp. 42-46
Closed Access
A Fault Detection Framework Based on LSTM Autoencoder: A Case Study for Volvo Bus Data Set
Narjes Davari, Sepideh Pashami, Bruno Veloso, et al.
Lecture notes in computer science (2022), pp. 39-52
Closed Access | Times Cited: 2
Data-driven predictive maintenance framework for railway systems
Jorge Meira, Bruno Veloso, Verónica Bolón‐Canedo, et al.
Intelligent Data Analysis (2023) Vol. 27, Iss. 4, pp. 1087-1102
Open Access
Decision Threshold Selection and Low-Pass Filter Application for Anomaly Detection with Sparse Autoencoder
Maira Farias Andrade Lira, Elias Amancio Siqueira-Filho, Ricardo B. C. Prudêncio
(2023), pp. 555-568
Open Access
Data-Driven Approach for Predictive Maintenance of Metro System
Abhitay Shinde, Maanaav Motiramani, Pratham Soni, et al.
(2023), pp. 1-8
Closed Access
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