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:

Development of a parsimonious GA–NN ensemble model with a case study for Charpy impact energy prediction
Yong Yang, Mahdi Mahfouf, George Panoutsos
Advances in Engineering Software (2011) Vol. 42, Iss. 7, pp. 435-443
Closed Access | Times Cited: 18

Showing 18 citing articles:

GA-PARSIMONY: A GA-SVR approach with feature selection and parameter optimization to obtain parsimonious solutions for predicting temperature settings in a continuous annealing furnace
Andrés Sanz-García, J. Fernández-Ceniceros, F. Antoñanzas-Torres, et al.
Applied Soft Computing (2015) Vol. 35, pp. 13-28
Closed Access | Times Cited: 48
Data-driven recognition and modelling of deterioration patterns in the US National Bridge Inventory: A genetic algorithm-artificial neural network framework
Filippos Alogdianakis, Loukas Dimitriou, Dimos C. Charmpis
Advances in Engineering Software (2022) Vol. 171, pp. 103148-103148
Closed Access | Times Cited: 17
Prediction of mechanical properties of welded steel X70 pipeline using neural network modelling
Adel Saoudi, Mamoun Fellah, Naouel Hezil, et al.
International Journal of Pressure Vessels and Piping (2020) Vol. 186, pp. 104153-104153
Closed Access | Times Cited: 19
Probabilistic characterisation of model error using Gaussian mixture model—With application to Charpy impact energy prediction for alloy steel
Yong Yang, Mahdi Mahfouf, George Panoutsos
Control Engineering Practice (2011) Vol. 20, Iss. 1, pp. 82-92
Closed Access | Times Cited: 21
Improving Hotel Room Demand Forecasting with a Hybrid GA-SVR Methodology Based on Skewed Data Transformation, Feature Selection and Parsimony Tuning
Rubén Urraca, Andrés Sanz-García, J. Fernández-Ceniceros, et al.
Lecture notes in computer science (2015), pp. 632-643
Closed Access | Times Cited: 19
An ensemble data-driven fuzzy network for laser welding quality prediction
Adrian Rubio-Solis, George Panoutsos
2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (2017), pp. 1-6
Open Access | Times Cited: 16
Overall models based on ensemble methods for predicting continuous annealing furnace temperature settings
Andrés Sanz-García, F. Antoñanzas-Torres, J. Fernández-Ceniceros, et al.
Ironmaking & Steelmaking Processes Products and Applications (2013) Vol. 41, Iss. 1, pp. 51-60
Closed Access | Times Cited: 12
A Data-driven fuzzy modelling framework for the classification of imbalanced data
Adrian Rubio-Solis, George Panoutsos, Steve Thornton
(2016), pp. 302-307
Closed Access | Times Cited: 11
Hotel Reservation Forecasting Using Flexible Soft Computing Techniques: A Case of Study in a Spanish Hotel
E. Martínez-de-Pisón, J. Fernández-Ceniceros, Alpha Pernía‐Espinoza, et al.
International Journal of Information Technology & Decision Making (2016) Vol. 15, Iss. 05, pp. 1211-1234
Closed Access | Times Cited: 8
Feature engineering to cope with noisy data in sparse identification
Thaynã França, Arthur M. B. Braga, Helon Vicente Hultmann Ayala
Expert Systems with Applications (2021) Vol. 188, pp. 115995-115995
Closed Access | Times Cited: 8
Long-term learning for type-2 neural-fuzzy systems
Ali Baraka, George Panoutsos
Fuzzy Sets and Systems (2019) Vol. 368, pp. 59-81
Open Access | Times Cited: 7
Data Mining and Modelling of Charpy Impact Energy for Alloy Steels Using Fuzzy Rough Sets
R. Colas-Marquez, Mahdi Mahfouf
IFAC-PapersOnLine (2017) Vol. 50, Iss. 1, pp. 14970-14975
Open Access | Times Cited: 5
Improving hotel room demand forecasting with a hybrid GA-SVR methodology based on skewed data transformation, feature selection and parsimony tuning
Rubén Urraca, Andrés Sanz-García, J. Fernández-Ceniceros, et al.
Logic Journal of IGPL (2017) Vol. 25, Iss. 6, pp. 877-889
Closed Access | Times Cited: 5
Predicting Charpy Impact Energy for Heat-Treated Steel using a Quantum-Membership-Function-based Fuzzy Model
R. Muscat, Mahdi Mahfouf
IFAC-PapersOnLine (2016) Vol. 49, Iss. 20, pp. 138-142
Open Access | Times Cited: 4
Data-Driven Interval Type-2 Fuzzy Modelling for the Classification of Imbalanced Data
Adrian Rubio-Solis, Ali Baraka, George Panoutsos, et al.
Studies in systems, decision and control (2018), pp. 37-51
Closed Access | Times Cited: 4
Tempered Hardness Optimization of Martensitic Alloy Steels
Heather A. Murdoch, Daniel Field, Benjamin A. Szajewski, et al.
Integrating materials and manufacturing innovation (2023) Vol. 12, Iss. 4, pp. 301-320
Closed Access | Times Cited: 1
Multilayer-Perceptron Network Ensemble Modeling with Genetic Algorithms for the Capacity of Bolted Lap Joint
J. Fernández-Ceniceros, Andrés Sanz-García, F. Antoñanzas-Torres, et al.
Lecture notes in computer science (2012), pp. 545-556
Closed Access | Times Cited: 2
Hybrid Modelling of Multilayer Perceptron Ensembles for Predicting the Response of Bolted Lap Joints
J. Fernández-Ceniceros, F. Antoñanzas-Torres, Francisco Javier Martínez-de-Pisón, et al.
Logic Journal of IGPL (2015) Vol. 23, Iss. 3, pp. 451-462
Closed Access | Times Cited: 1
Page 1

Scroll to top