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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 Review of Kernel Methods for Feature Extraction in Nonlinear Process Monitoring
Karl Ezra Pilario, Mahmood Shafiee, Yi Cao, et al.
Processes (2019) Vol. 8, Iss. 1, pp. 24-24
Open Access | Times Cited: 105

Showing 1-25 of 105 citing articles:

A roadmap for multi-omics data integration using deep learning
Mingon Kang, Euiseong Ko, Tesfaye B. Mersha
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Open Access | Times Cited: 197
From Characterization to Discovery: Artificial Intelligence, Machine Learning and High-Throughput Experiments for Heterogeneous Catalyst Design
Jorge Benavides-Hernández, Franck Dumeignil
ACS Catalysis (2024) Vol. 14, Iss. 15, pp. 11749-11779
Closed Access | Times Cited: 23
Deep Learning-Based Fault Diagnosis of Photovoltaic Systems: A Comprehensive Review and Enhancement Prospects
Majdi Mansouri, Mohamed Trabelsi, Hazem Nounou, et al.
IEEE Access (2021) Vol. 9, pp. 126286-126306
Open Access | Times Cited: 90
Multivariate feature extraction based supervised machine learning for fault detection and diagnosis in photovoltaic systems
Mansour Hajji, Mohamed‐Faouzi Harkat, Abdelmalek Kouadri, et al.
European Journal of Control (2020) Vol. 59, pp. 313-321
Closed Access | Times Cited: 86
Unsupervised and semi‐supervised learning: the next frontier in machine learning for plant systems biology
Jun Yan, Xiangfeng Wang
The Plant Journal (2022) Vol. 111, Iss. 6, pp. 1527-1538
Closed Access | Times Cited: 60
An Enhanced Ensemble Learning-Based Fault Detection and Diagnosis for Grid-Connected PV Systems
Khaled Dhibi, Majdi Mansouri, Kais Bouzrara, et al.
IEEE Access (2021) Vol. 9, pp. 155622-155633
Open Access | Times Cited: 57
Data-Driven Process Monitoring and Fault Diagnosis: A Comprehensive Survey
Afrânio Melo, Maurício Melo Câmara, José Carlos Pinto
Processes (2024) Vol. 12, Iss. 2, pp. 251-251
Open Access | Times Cited: 11
Fault Identification of Photovoltaic Array Based on Machine Learning Classifiers
Mohamed M. Badr, Mostafa S. Hamad, Ayman S. Abdel‐Khalik, et al.
IEEE Access (2021) Vol. 9, pp. 159113-159132
Open Access | Times Cited: 48
A Comparative Study of Deep Neural Network-Aided Canonical Correlation Analysis-Based Process Monitoring and Fault Detection Methods
Zhiwen Chen, Ketian Liang, Steven X. Ding, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 33, Iss. 11, pp. 6158-6172
Closed Access | Times Cited: 41
Reduced neural network based ensemble approach for fault detection and diagnosis of wind energy converter systems
Khaled Dhibi, Majdi Mansouri, Kais Bouzrara, et al.
Renewable Energy (2022) Vol. 194, pp. 778-787
Open Access | Times Cited: 32
Simultaneous sensor fault diagnosis and reconstruction for intelligent monitoring in wastewater treatment plants: An explainable deep multi-task learning model
Abdulrahman H. Ba-Alawi, Mohammed A. Al‐masni, ChangKyoo Yoo
Journal of Water Process Engineering (2023) Vol. 55, pp. 104119-104119
Closed Access | Times Cited: 18
An optimized feature extraction algorithm for abnormal network traffic detection
Jinfu Chen, Yuhao Chen, Saihua Cai, et al.
Future Generation Computer Systems (2023) Vol. 149, pp. 330-342
Closed Access | Times Cited: 18
Anomaly detection using large-scale multimode industrial data: An integration method of nonstationary kernel and autoencoder
Kai Wang, Caoyin Yan, Yanfang Mo, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 131, pp. 107839-107839
Closed Access | Times Cited: 7
A unifying perspective on non-stationary kernels for deeper Gaussian processes
Marcus M. Noack, Hengrui Luo, Mark D. Risser
APL Machine Learning (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 6
Effects of feature reduction on emotion recognition using EEG signals and machine learning
Leonardo Trujillo, Daniel E. Hernández, Adrián Rodríguez Aguiñaga, et al.
Expert Systems (2024) Vol. 41, Iss. 8
Closed Access | Times Cited: 6
Data-Driven Incipient Fault Detection via Canonical Variate Dissimilarity and Mixed Kernel Principal Component Analysis
Ping Wu, Riccardo Ferrari, Yichao Liu, et al.
IEEE Transactions on Industrial Informatics (2020) Vol. 17, Iss. 8, pp. 5380-5390
Open Access | Times Cited: 47
Effects of foam structure on thermochemical characteristics of porous-filled solar reactor
Hao Zhang, Yong Shuai, Bachirou Guene Lougou, et al.
Energy (2021) Vol. 239, pp. 122219-122219
Closed Access | Times Cited: 33
KPCA-CCA-Based Quality-Related Fault Detection and Diagnosis Method for Nonlinear Process Monitoring
Guang Wang, Jinghui Yang, Yucheng Qian, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 5, pp. 6492-6501
Closed Access | Times Cited: 27
Improving kernel PCA-based algorithm for fault detection in nonlinear industrial process through fractal dimension
Mohammed Tahar Habib Kaib, Abdelmalek Kouadri, Mohamed‐Faouzi Harkat, et al.
Process Safety and Environmental Protection (2023) Vol. 179, pp. 525-536
Closed Access | Times Cited: 16
Improvement of Kernel Principal Component Analysis-Based Approach for Nonlinear Process Monitoring by Data Set Size Reduction Using Class Interval
Mohammed Tahar Habib Kaib, Abdelmalek Kouadri, Mohamed‐Faouzi Harkat, et al.
IEEE Access (2024) Vol. 12, pp. 11470-11480
Open Access | Times Cited: 5
A comprehensive overview of the applications of kernel functions and data-driven models in regression and classification tasks in the context of software sensors
Joyce Chen Yen Ngu, Wan Sieng Yeo, Teck Fu Thien, et al.
Applied Soft Computing (2024) Vol. 164, pp. 111975-111975
Open Access | Times Cited: 5
Distributed monitoring of nonlinear plant-wide processes based on GA-regularized kernel canonical correlation analysis
Wenhao Jin, Wenjing Wang, Yang Wang, et al.
Reliability Engineering & System Safety (2024) Vol. 252, pp. 110421-110421
Closed Access | Times Cited: 5
Nonlinear process monitoring using a mixture of probabilistic PCA with clusterings
Jingxin Zhang, Maoyin Chen, Xia Hong
Neurocomputing (2021) Vol. 458, pp. 319-326
Open Access | Times Cited: 29
A Hybrid Fault Detection and Diagnosis of Grid-Tied PV Systems: Enhanced Random Forest Classifier Using Data Reduction and Interval-Valued Representation
Khaled Dhibi, Radhia Fezai, Majdi Mansouri, et al.
IEEE Access (2021) Vol. 9, pp. 64267-64277
Open Access | Times Cited: 28
Modified LPP based on Riemannian metric for feature extraction and fault detection
Muhammad Zohaib Hassan Shah, Li‐Sheng Hu, Zahoor Ahmed
Measurement (2022) Vol. 193, pp. 110923-110923
Closed Access | Times Cited: 19
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