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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:

An Automated Machine Learning Approach for Real-Time Fault Detection and Diagnosis
Dênis Leite, Aldonso Martins, Diego Rátiva, et al.
Sensors (2022) Vol. 22, Iss. 16, pp. 6138-6138
Open Access | Times Cited: 19

Showing 19 citing articles:

Improved Fault Classification for Predictive Maintenance in Industrial IoT Based on AutoML: A Case Study of Ball-Bearing Faults
Russul H. Hadi, Haider Najy Hady, Ahmed Mudheher Hasan, et al.
Processes (2023) Vol. 11, Iss. 5, pp. 1507-1507
Open Access | Times Cited: 51
Artificial Intelligence for safety and reliability: A descriptive, bibliometric and interpretative review on machine learning
Nicola Tamascelli, Alessandro Campari, Tarannom Parhizkar, et al.
Journal of Loss Prevention in the Process Industries (2024) Vol. 90, pp. 105343-105343
Open Access | Times Cited: 12
Alarm rationalization and dynamic risk analyses for rare abnormal events
Vikram Sudarshan, Warren D. Seider, Amish J. Patel, et al.
Computers & Chemical Engineering (2024) Vol. 184, pp. 108633-108633
Closed Access | Times Cited: 5
Variational autoencoder based on knowledge sharing and correlation weighting for process-quality concurrent fault detection
Ziyuan Wang, Chengzhu Wang, Yonggang Li
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108051-108051
Closed Access | Times Cited: 4
Automated machine learning for predicting liver metastasis in patients with gastrointestinal stromal tumor: a SEER-based analysis
Luojie Liu, Rufa Zhang, Ying Shi, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Automatic Evaluation of Neural Network Training Results
Roman Barinov, Vasiliy E. Gai, George Kuznetsov, et al.
Computers (2023) Vol. 12, Iss. 2, pp. 26-26
Open Access | Times Cited: 8
Ensemble learning framework for fleet-based anomaly detection using wind turbine drivetrain components vibration data.
Caio Filipe de Lima Munguba, Gustavo de Novaes Pires Leite, Felipe Farias, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108363-108363
Closed Access | Times Cited: 2
The Use of eXplainable Artificial Intelligence and Machine Learning Operation Principles to Support the Continuous Development of Machine Learning-Based Solutions in Fault Detection and Identification
Tuan-anh Tran, Tamás Ruppert, János Abonyi
Computers (2024) Vol. 13, Iss. 10, pp. 252-252
Open Access | Times Cited: 2
Fault Detection and Diagnosis in Industry 4.0: A Review on Challenges and Opportunities
Dênis Leite, E. A. B. Santos, Diego Rátiva, et al.
Sensors (2024) Vol. 25, Iss. 1, pp. 60-60
Open Access | Times Cited: 2
Deep Learning-Based Boolean, Time Series, Error Detection, and Predictive Analysis in Container Crane Operations
Amruta Awasthi, Lenka Krpálková, J. L. Walsh
Algorithms (2024) Vol. 17, Iss. 8, pp. 333-333
Open Access | Times Cited: 1
A Novel Data-Driven Fault Detection Method Based on Stable Kernel Representation for Dynamic Systems
Qiang Wang, Bo Peng, Pu Xie, et al.
Sensors (2023) Vol. 23, Iss. 13, pp. 5891-5891
Open Access | Times Cited: 4
Stress-Adaptive Training: An Adaptive Psychomotor Training According to Stress Measured by Grip Force
Yotam Sahar, Michael Wagner, Ariel Barel, et al.
Sensors (2022) Vol. 22, Iss. 21, pp. 8368-8368
Open Access | Times Cited: 6
Automated machine learning to predict the difficulty for endoscopic resection of gastric gastrointestinal stromal tumor
Luojie Liu, Rufa Zhang, Dongtao Shi, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 3
Real-Time Neural Classifiers for Sensor and Actuator Faults in Three-Phase Induction Motors
Oscar D. Sánchez, Gabriel Martínez-Soltero, Jesús Gerardo Cruz Álvarez, et al.
Machines (2022) Vol. 10, Iss. 12, pp. 1198-1198
Open Access | Times Cited: 5
Development of Oilwell Fault Classifiers Using a Wavelet-Based Multivariable Approach in a Modular Architecture
Thadeu Dias, Matheus Araújo Marins, Carla L. Pagliari, et al.
SPE Journal (2024) Vol. 29, Iss. 09, pp. 4542-4556
Closed Access
An Optimal Spatio-Temporal Hybrid Model Based on Wavelet Transform for Early Fault Detection
Jingyang Xing, Fangfang Li, Xiaoyu Ma, et al.
Sensors (2024) Vol. 24, Iss. 14, pp. 4736-4736
Open Access
The application and clinical translation of the self-evolving machine learning methods in predicting diabetic retinopathy and visualizing clinical transformation
Binbin Li, Liqun Hu, Siqing Zhang, et al.
Frontiers in Endocrinology (2024) Vol. 15
Open Access
New Trends for Machine Learning Applications in Future Power Systems
Mohammad Mehdi Amiri, Ali Jalilian, Hamdi Abdi, et al.
Power systems (2024), pp. 89-114
Closed Access
The 3W Project and its Strategy to Foster the Development of Data-Driven Solutions for the Offshore Sector
Ricardo Emanuel Vaz Vargas, R. L. A. Pinto
Day 2 Tue, October 04, 2022 (2023)
Closed Access
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