Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

AutoML for Feature Selection and Model Tuning Applied to Fault Severity Diagnosis in Spur Gearboxes
Mariela Cerrada, Leonardo Trujillo, Daniel E. Hernández, et al.
Mathematical and Computational Applications (2022) Vol. 27, Iss. 1, pp. 6-6
Open Access | Times Cited: 23

Showing 23 citing articles:

AutoML: A systematic review on automated machine learning with neural architecture search
Imrus Salehin, Md. Shamiul Islam, Pritom Saha, et al.
Journal of Information and Intelligence (2023) Vol. 2, Iss. 1, pp. 52-81
Open Access | Times Cited: 42
Automated data processing and feature engineering for deep learning and big data applications: A survey
Alhassan Mumuni, Fuseini Mumuni
Journal of Information and Intelligence (2024)
Open Access | Times Cited: 32
A systematic review on failure modes and proposed methodology to artificially seed faults for promoting PHM studies in laboratory environment for an industrial gearbox
Priyom Goswami, Rajiv Nandan
Engineering Failure Analysis (2023) Vol. 146, pp. 107076-107076
Closed Access | Times Cited: 31
Attention Measurement of an Autism Spectrum Disorder User Using EEG Signals: A Case Study
José Jaime Esqueda-Elizondo, Reyes Juárez‐Ramírez, Oscar Roberto López-Bonilla, et al.
Mathematical and Computational Applications (2022) Vol. 27, Iss. 2, pp. 21-21
Open Access | Times Cited: 29
A comparative experimental research on the diagnosis of tooth root cracks in asymmetric spur gear pairs with a one-dimensional convolutional neural network
Onur Can Kalay, Fatih Karpat
Mechanism and Machine Theory (2024) Vol. 201, pp. 105755-105755
Closed Access | Times Cited: 5
Integrating deep learning algorithms for forecasting evapotranspiration and assessing crop water stress in agricultural water management
Mahfuzur Rahman, Md Mehedi Hasan, Md Anuwer Hossain, et al.
Journal of Environmental Management (2025) Vol. 375, pp. 124363-124363
Closed Access
Classification of Damage on Wind Turbine Blades Using Automatic Machine Learning and Pressure Coefficient
Javier A. Carmona‐Troyo, Leonardo Trujillo, J. Enríquez‐Zárate, et al.
Expert Systems (2025) Vol. 42, Iss. 4
Closed Access
Evaluation of Machine Learning Algorithms for Classification of EEG Signals
Francisco Javier Ramírez-Arias, Enrique Efrén García-Guerrero, Esteban Tlelo‐Cuautle, et al.
Technologies (2022) Vol. 10, Iss. 4, pp. 79-79
Open Access | Times Cited: 24
Implications from Legacy Device Environments on the Conceptional Design of Machine Learning Models in Manufacturing
Bastian Engelmann, Anna-Maria Schmitt, Lukas Theilacker, et al.
Journal of Manufacturing and Materials Processing (2024) Vol. 8, Iss. 1, pp. 15-15
Open Access | Times Cited: 4
Gearbox faults severity classification using Poincaré plots of acoustic emission signals
Rubén Medina, René–Vinicio Sánchez, Diego Cabrera, et al.
Applied Acoustics (2024) Vol. 219, pp. 109918-109918
Open Access | Times Cited: 4
Evaluation of Machine Learning Algorithms for Early Diagnosis of Deep Venous Thrombosis
Eduardo Enrique Contreras-Luján, Enrique Efrén García-Guerrero, Oscar Roberto López-Bonilla, et al.
Mathematical and Computational Applications (2022) Vol. 27, Iss. 2, pp. 24-24
Open Access | Times Cited: 19
An Automated Machine Learning Engine with Inverse Analysis for Seismic Design of Dams
Mohammad Amin Hariri‐Ardebili, Farhad Pourkamali‐Anaraki
Water (2022) Vol. 14, Iss. 23, pp. 3898-3898
Open Access | Times Cited: 12
Exploring Factors That Affected Student Well-Being during the COVID-19 Pandemic: A Comparison of Data-Mining Approaches
Hülya Yürekli, Öyküm Esra YİĞİT, Okan Bulut, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 18, pp. 11267-11267
Open Access | Times Cited: 8
A Comparative Analysis of Automated Machine Learning Tools: A Use Case for Autism Spectrum Disorder Detection
Rana Abbas, Kashif Sultan, Muhammad Sheraz, et al.
Information (2024) Vol. 15, Iss. 10, pp. 625-625
Open Access | Times Cited: 1
Automated algorithm selection using meta-learning and pre-trained deep convolution neural networks
Itai Dagan, Roman Vainshtein, Gilad Katz, et al.
Information Fusion (2023) Vol. 105, pp. 102210-102210
Closed Access | Times Cited: 3
Non-destructive ultrasonic testing and machine learning-assisted early detection of carburizing damage in HP steel pyrolysis furnace tubes
Francirley Paz da Silva, Robert Saraiva Matos, Henrique Duarte da Fonseca Filho, et al.
Measurement (2023) Vol. 218, pp. 113221-113221
Closed Access | Times Cited: 2
Advanced Genetic Programming vs. State-of-the-Art AutoML in Imbalanced Binary Classification
F Frank, Fernando Bação
Emerging Science Journal (2023) Vol. 7, Iss. 4, pp. 1349-1363
Open Access | Times Cited: 2
Estimating kinetic energy reduction for terminal ballistics using a hyperparameter-optimized neural network
Brianna Thompson, Jesse A. Sherburn, James A. Ross, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 12, pp. 6531-6545
Closed Access
Supervised Machine Learning for Input Modelling of an Agent-Based Simulation Model for Autonomous On-Demand Shuttle Services
Maylin Wartenberg, Marvin Auf der Landwehr, Laura H. M. Nguyen, et al.
Communications in computer and information science (2024), pp. 227-241
Closed Access
Numerical and Evolutionary Optimization 2021
Marcela Quiroz‐Castellanos, Luis Gerardo de la Fraga, Adriana Lara, et al.
Mathematical and Computational Applications (2023) Vol. 28, Iss. 3, pp. 71-71
Open Access | Times Cited: 1
Reliability Analysis Method of Rotating Machinery Based on Conditional Random Field
Hongmei Zheng, Xiaoli Qiao
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 2
AI based Inspection of the Axes of Machine Tools Corresponding author: Ibrahim N. Tansel E-Mail: tanseli@fiu.edu
Mustafa Demetgül, Wei Wang, Jürgen Fleischer, et al.
Research Square (Research Square) (2023)
Open Access
Comparative analysis of performance of AutoML algorithms: Classification model of payment arrears in students of a private university
Henry Villarreal-Torres, Julio Ángeles-Morales, Jenny Cano-Mejía, et al.
ICST Transactions on Scalable Information Systems (2023)
Open Access
Page 1

Scroll to top