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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:

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

Showing 19 citing articles:

Modified genetic algorithm-based feature selection combined with pre-trained deep neural network for demand forecasting in outpatient department
Shancheng Jiang, Kwai‐Sang Chin, Long Wang, et al.
Expert Systems with Applications (2017) Vol. 82, pp. 216-230
Closed Access | Times Cited: 136
Machine Learning Based Integrated Feature Selection Approach for Improved Electricity Demand Forecasting in Decentralized Energy Systems
Abinet Tesfaye Eseye, Matti Lehtonen, Toni Tukia, et al.
IEEE Access (2019) Vol. 7, pp. 91463-91475
Open Access | Times Cited: 90
A review of demand forecasting models and methodological developments within tourism and passenger transportation industry
Iman Ghalehkhondabi, Ehsan Ardjmand, William A. Young, et al.
Journal of Tourism Futures (2019) Vol. 5, Iss. 1, pp. 75-93
Open Access | Times Cited: 57
Stacking ensemble with parsimonious base models to improve generalization capability in the characterization of steel bolted components
Alpha Pernía‐Espinoza, J. Fernández-Ceniceros, J. Antonanzas, et al.
Applied Soft Computing (2018) Vol. 70, pp. 737-750
Closed Access | Times Cited: 36
A metaheuristic-based stacking model for predicting the risk of patient no-show and late cancellation for neurology appointments
Ehsan Ahmadi, Andrés García-Arce, Dale T. Masel, et al.
IISE Transactions on Healthcare Systems Engineering (2019) Vol. 9, Iss. 3, pp. 272-291
Open Access | Times Cited: 27
An advanced methodology to enhance energy efficiency in a hospital cooling-water system
Eduardo Dulce-Chamorro, Francisco Javier Martínez-de-Pisón
Journal of Building Engineering (2021) Vol. 43, pp. 102839-102839
Open Access | Times Cited: 20
Hybrid methodology based on Bayesian optimization and GA-PARSIMONY to search for parsimony models by combining hyperparameter optimization and feature selection
Francisco Javier Martínez-de-Pisón, Rubén González-Sendino, Álvaro A. Aldama, et al.
Neurocomputing (2019) Vol. 354, pp. 20-26
Closed Access | Times Cited: 24
Adaptive Predictor Subset Selection Strategy for Enhanced Forecasting of Distributed PV Power Generation
Abinet Tesfaye Eseye, Matti Lehtonen, Toni Tukia, et al.
IEEE Access (2019) Vol. 7, pp. 90652-90665
Open Access | Times Cited: 22
A novel probabilistic regression model for electrical peak demand estimate of commercial and manufacturing buildings
Saman Taheri, Ali Razban
Sustainable Cities and Society (2021) Vol. 77, pp. 103544-103544
Open Access | Times Cited: 14
Searching Parsimonious Solutions with GA-PARSIMONY and XGBoost in High-Dimensional Databases
Francisco Javier Martínez-de-Pisón, Esteban Fraile-García, Javier Ferreiro‐Cabello, et al.
Advances in intelligent systems and computing (2016), pp. 201-210
Closed Access | Times Cited: 16
Hotel daily demand forecasting for high-frequency and complex seasonality data: a case study in Thailand
Naragain Phumchusri, Phoom Ungtrakul
Journal of Revenue and Pricing Management (2019) Vol. 19, Iss. 1, pp. 8-25
Closed Access | Times Cited: 16
PREDICTION OF HOTEL BOOKING CANCELLATION USING DEEP NEURAL NETWORK AND LOGISTIC REGRESSION ALGORITHM
Nugroho Adi Putro, Rendi Septian, Widiastuti Widiastuti, et al.
Jurnal Techno Nusa Mandiri (2021) Vol. 18, Iss. 1, pp. 1-8
Open Access | Times Cited: 7
A comparative study of six model complexity metrics to search for parsimonious models with GAparsimony R Package
Francisco Javier Martínez-de-Pisón, Javier Ferreiro‐Cabello, Esteban Fraile-García, et al.
Neurocomputing (2020) Vol. 452, pp. 317-332
Closed Access | Times Cited: 7
Hybrid Methodology Based on Bayesian Optimization and GA-PARSIMONY for Searching Parsimony Models by Combining Hyperparameter Optimization and Feature Selection
Francisco Javier Martínez-de-Pisón, Rubén González-Sendino, Álvaro A. Aldama, et al.
Lecture notes in computer science (2017), pp. 52-62
Closed Access | Times Cited: 4
Efficient Feature Selection Strategy for Accurate Electricity Demand Forecasting
Abinet Tesfaye Eseye, Matti Lehtonen, Toni Tukia, et al.
2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe) (2019), pp. 1-5
Closed Access | Times Cited: 4
GAparsimony: An R Package for Searching Parsimonious Models by Combining Hyperparameter Optimization and Feature Selection
Francisco Javier Martínez-de-Pisón, Rubén González-Sendino, Javier Ferreiro‐Cabello, et al.
Lecture notes in computer science (2018), pp. 62-73
Closed Access | Times Cited: 2
Parsimonious Modeling for Estimating Hospital Cooling Demand to Reduce Maintenance Costs and Power Consumption
Eduardo Dulce-Chamorro, Francisco Javier Martínez-de-Pisón
Lecture notes in computer science (2019), pp. 181-192
Closed Access | Times Cited: 1
Hybridization of a Novel Rheumatoid Arthritisprediction Modelusing Classifier and Optimizer Approach
M. Selvakumar, T Vijayakumar, R Janani, et al.
2022 International Conference on Computer Communication and Informatics (ICCCI) (2022), pp. 1-12
Closed Access | Times Cited: 1
Effective Input Dataset Identification Methodology for Accurate Prediction of Local PV Power Production
Abinet Tesfaye Eseye, Matti Lehtonen, Toni Tukia, et al.
2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe) (2019), pp. 1-5
Closed Access
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