
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:
Disjoint and Functional Principal Component Analysis for Infected Cases and Deaths Due to COVID-19 in South American Countries with Sensor-Related Data
Carlos Martin‐Barreiro, John A. Ramirez-Figueroa, Xavier Cabezas, et al.
Sensors (2021) Vol. 21, Iss. 12, pp. 4094-4094
Open Access | Times Cited: 28
Carlos Martin‐Barreiro, John A. Ramirez-Figueroa, Xavier Cabezas, et al.
Sensors (2021) Vol. 21, Iss. 12, pp. 4094-4094
Open Access | Times Cited: 28
Showing 1-25 of 28 citing articles:
An intelligent health monitoring and diagnosis system based on the internet of things and fuzzy logic for cardiac arrhythmia COVID-19 patients
Muhammad Zia Ur Rahman, Muhammad Azeem Akbar, Víctor Leiva, et al.
Computers in Biology and Medicine (2023) Vol. 154, pp. 106583-106583
Open Access | Times Cited: 58
Muhammad Zia Ur Rahman, Muhammad Azeem Akbar, Víctor Leiva, et al.
Computers in Biology and Medicine (2023) Vol. 154, pp. 106583-106583
Open Access | Times Cited: 58
An Overview of Forecast Analysis with ARIMA Models during the COVID-19 Pandemic: Methodology and Case Study in Brazil
Raydonal Ospina, João A. M. Gondim, Víctor Leiva, et al.
Mathematics (2023) Vol. 11, Iss. 14, pp. 3069-3069
Open Access | Times Cited: 57
Raydonal Ospina, João A. M. Gondim, Víctor Leiva, et al.
Mathematics (2023) Vol. 11, Iss. 14, pp. 3069-3069
Open Access | Times Cited: 57
Machine learning and automatic ARIMA/Prophet models-based forecasting of COVID-19: methodology, evaluation, and case study in SAARC countries
Iqra Sardar, Muhammad Azeem Akbar, Víctor Leiva, et al.
Stochastic Environmental Research and Risk Assessment (2022) Vol. 37, Iss. 1, pp. 345-359
Open Access | Times Cited: 37
Iqra Sardar, Muhammad Azeem Akbar, Víctor Leiva, et al.
Stochastic Environmental Research and Risk Assessment (2022) Vol. 37, Iss. 1, pp. 345-359
Open Access | Times Cited: 37
Exploring patient medication adherence and data mining methods in clinical big data: A contemporary review
Yixian Xu, Xinkai Zheng, Yuanjie Li, et al.
Journal of Evidence-Based Medicine (2023) Vol. 16, Iss. 3, pp. 342-375
Open Access | Times Cited: 31
Yixian Xu, Xinkai Zheng, Yuanjie Li, et al.
Journal of Evidence-Based Medicine (2023) Vol. 16, Iss. 3, pp. 342-375
Open Access | Times Cited: 31
Classifying COVID-19 based on amino acids encoding with machine learning algorithms
Walaa Alkady, Khaled El-Bahnasy, Víctor Leiva, et al.
Chemometrics and Intelligent Laboratory Systems (2022) Vol. 224, pp. 104535-104535
Open Access | Times Cited: 28
Walaa Alkady, Khaled El-Bahnasy, Víctor Leiva, et al.
Chemometrics and Intelligent Laboratory Systems (2022) Vol. 224, pp. 104535-104535
Open Access | Times Cited: 28
A New Approach to Predicting Cryptocurrency Returns Based on the Gold Prices with Support Vector Machines during the COVID-19 Pandemic Using Sensor-Related Data
Esam Mahdi, Víctor Leiva, Saed Mara’Beh, et al.
Sensors (2021) Vol. 21, Iss. 18, pp. 6319-6319
Open Access | Times Cited: 32
Esam Mahdi, Víctor Leiva, Saed Mara’Beh, et al.
Sensors (2021) Vol. 21, Iss. 18, pp. 6319-6319
Open Access | Times Cited: 32
On a Novel Dynamics of SEIR Epidemic Models with a Potential Application to COVID-19
Maheswari Rangasamy, Christophe Chesneau, Carlos Martin‐Barreiro, et al.
Symmetry (2022) Vol. 14, Iss. 7, pp. 1436-1436
Open Access | Times Cited: 21
Maheswari Rangasamy, Christophe Chesneau, Carlos Martin‐Barreiro, et al.
Symmetry (2022) Vol. 14, Iss. 7, pp. 1436-1436
Open Access | Times Cited: 21
On Fuzzy and Crisp Solutions of a Novel Fractional Pandemic Model
Kalpana Umapathy, Balaganesan Palanivelu, Víctor Leiva, et al.
Fractal and Fractional (2023) Vol. 7, Iss. 7, pp. 528-528
Open Access | Times Cited: 9
Kalpana Umapathy, Balaganesan Palanivelu, Víctor Leiva, et al.
Fractal and Fractional (2023) Vol. 7, Iss. 7, pp. 528-528
Open Access | Times Cited: 9
Multiscale Monitoring Using Machine Learning Methods: New Methodology and an Industrial Application to a Photovoltaic System
Hanen Chaouch, Samia Charfeddine, Sondess Ben Aoun, et al.
Mathematics (2022) Vol. 10, Iss. 6, pp. 890-890
Open Access | Times Cited: 15
Hanen Chaouch, Samia Charfeddine, Sondess Ben Aoun, et al.
Mathematics (2022) Vol. 10, Iss. 6, pp. 890-890
Open Access | Times Cited: 15
A Two-Stage Location Problem with Order Solved Using a Lagrangian Algorithm and Stochastic Programming for a Potential Use in COVID-19 Vaccination Based on Sensor-Related Data
Xavier Cabezas, Sergio García, Carlos Martin‐Barreiro, et al.
Sensors (2021) Vol. 21, Iss. 16, pp. 5352-5352
Open Access | Times Cited: 19
Xavier Cabezas, Sergio García, Carlos Martin‐Barreiro, et al.
Sensors (2021) Vol. 21, Iss. 16, pp. 5352-5352
Open Access | Times Cited: 19
Lot-Size Models with Uncertain Demand Considering Its Skewness/Kurtosis and Stochastic Programming Applied to Hospital Pharmacy with Sensor-Related COVID-19 Data
Fernando Rojas, Víctor Leiva, Mauricio Huerta, et al.
Sensors (2021) Vol. 21, Iss. 15, pp. 5198-5198
Open Access | Times Cited: 18
Fernando Rojas, Víctor Leiva, Mauricio Huerta, et al.
Sensors (2021) Vol. 21, Iss. 15, pp. 5198-5198
Open Access | Times Cited: 18
An Epidemiological Analysis for Assessing and Evaluating COVID-19 Based on Data Analytics in Latin American Countries
Víctor Leiva, Esdras Alcudia, Julia Montano, et al.
Biology (2023) Vol. 12, Iss. 6, pp. 887-887
Open Access | Times Cited: 7
Víctor Leiva, Esdras Alcudia, Julia Montano, et al.
Biology (2023) Vol. 12, Iss. 6, pp. 887-887
Open Access | Times Cited: 7
Modern Multivariate Statistical Methods for Evaluating the Impact of WhatsApp on Academic Performance: Methodology and Case Study in India
Prayas Sharma, Ashish Kumar Singh, Víctor Leiva, et al.
Applied Sciences (2022) Vol. 12, Iss. 12, pp. 6141-6141
Open Access | Times Cited: 11
Prayas Sharma, Ashish Kumar Singh, Víctor Leiva, et al.
Applied Sciences (2022) Vol. 12, Iss. 12, pp. 6141-6141
Open Access | Times Cited: 11
A new clustering algorithm based on a radar scanning strategy with applications to machine learning data
Lin Ma, Yi Zhang, Víctor Leiva, et al.
Expert Systems with Applications (2021) Vol. 191, pp. 116143-116143
Closed Access | Times Cited: 14
Lin Ma, Yi Zhang, Víctor Leiva, et al.
Expert Systems with Applications (2021) Vol. 191, pp. 116143-116143
Closed Access | Times Cited: 14
A statistical analysis for the epidemiological surveillance of COVID-19 in Chile
Nixon Jerez‐Lillo, Bernardo Lagos, Joel Muñoz Gutiérrez, et al.
Signa Vitae (2021)
Closed Access | Times Cited: 13
Nixon Jerez‐Lillo, Bernardo Lagos, Joel Muñoz Gutiérrez, et al.
Signa Vitae (2021)
Closed Access | Times Cited: 13
Application of Data Science for Cluster Analysis of COVID-19 Mortality According to Sociodemographic Factors at Municipal Level in Mexico
Joaquín Pérez-Ortega, Nelva Nely Almanza-Ortega, Kirvis Torres-Poveda, et al.
Mathematics (2022) Vol. 10, Iss. 13, pp. 2167-2167
Open Access | Times Cited: 8
Joaquín Pérez-Ortega, Nelva Nely Almanza-Ortega, Kirvis Torres-Poveda, et al.
Mathematics (2022) Vol. 10, Iss. 13, pp. 2167-2167
Open Access | Times Cited: 8
Statistical characterization of vaccinated cases and deaths due to COVID-19: methodology and case study in South America
Carlos Martin‐Barreiro, Xavier Cabezas, Víctor Leiva, et al.
AIMS Mathematics (2023) Vol. 8, Iss. 10, pp. 22693-22713
Open Access | Times Cited: 4
Carlos Martin‐Barreiro, Xavier Cabezas, Víctor Leiva, et al.
AIMS Mathematics (2023) Vol. 8, Iss. 10, pp. 22693-22713
Open Access | Times Cited: 4
Inference Based on the Stochastic Expectation Maximization Algorithm in a Kumaraswamy Model with an Application to COVID-19 Cases in Chile
Jorge Figueroa-Zúñiga, Juan G. Toledo, Bernardo Lagos, et al.
Mathematics (2023) Vol. 11, Iss. 13, pp. 2894-2894
Open Access | Times Cited: 3
Jorge Figueroa-Zúñiga, Juan G. Toledo, Bernardo Lagos, et al.
Mathematics (2023) Vol. 11, Iss. 13, pp. 2894-2894
Open Access | Times Cited: 3
A New Algorithm for Computing Disjoint Orthogonal Components in the Parallel Factor Analysis Model with Simulations and Applications to Real-World Data
Carlos Martin‐Barreiro, John A. Ramirez-Figueroa, Xavier Cabezas, et al.
Mathematics (2021) Vol. 9, Iss. 17, pp. 2058-2058
Open Access | Times Cited: 8
Carlos Martin‐Barreiro, John A. Ramirez-Figueroa, Xavier Cabezas, et al.
Mathematics (2021) Vol. 9, Iss. 17, pp. 2058-2058
Open Access | Times Cited: 8
A New Birnbaum–Saunders Distribution and Its Mathematical Features Applied to Bimodal Real-World Data from Environment and Medicine
Jimmy Reyes, Jaime Arrué, Víctor Leiva, et al.
Mathematics (2021) Vol. 9, Iss. 16, pp. 1891-1891
Open Access | Times Cited: 7
Jimmy Reyes, Jaime Arrué, Víctor Leiva, et al.
Mathematics (2021) Vol. 9, Iss. 16, pp. 1891-1891
Open Access | Times Cited: 7
Homogeneity tests for functional data based on depth-depth plots with chemical applications
Alejandro Calle-Saldarriaga, Henry Laniado, Francisco Zuluaga, et al.
Chemometrics and Intelligent Laboratory Systems (2021) Vol. 219, pp. 104420-104420
Open Access | Times Cited: 7
Alejandro Calle-Saldarriaga, Henry Laniado, Francisco Zuluaga, et al.
Chemometrics and Intelligent Laboratory Systems (2021) Vol. 219, pp. 104420-104420
Open Access | Times Cited: 7
STATIS multivariate three-way method for evaluating quality of life after corneal surgery: Methodology and case study in Costa Rica
Francisco J. Perdomo-Argüello, Estelina Ortega-Gómez, Purificación Galindo‐Villardón, et al.
Mathematical Biosciences & Engineering (2023) Vol. 20, Iss. 4, pp. 6110-6133
Open Access | Times Cited: 1
Francisco J. Perdomo-Argüello, Estelina Ortega-Gómez, Purificación Galindo‐Villardón, et al.
Mathematical Biosciences & Engineering (2023) Vol. 20, Iss. 4, pp. 6110-6133
Open Access | Times Cited: 1
Functional data clustering via information maximization
Xinyu Li, Jianjun Xu, Haoyang Cheng
Journal of Statistical Computation and Simulation (2023) Vol. 93, Iss. 16, pp. 2982-3007
Open Access | Times Cited: 1
Xinyu Li, Jianjun Xu, Haoyang Cheng
Journal of Statistical Computation and Simulation (2023) Vol. 93, Iss. 16, pp. 2982-3007
Open Access | Times Cited: 1
Modeling Mortality Based on Pollution and Temperature Using a New Birnbaum–Saunders Autoregressive Moving Average Structure with Regressors and Related-Sensors Data
Helton Saulo, Rubens Souza, Roberto Vila, et al.
Sensors (2021) Vol. 21, Iss. 19, pp. 6518-6518
Open Access | Times Cited: 2
Helton Saulo, Rubens Souza, Roberto Vila, et al.
Sensors (2021) Vol. 21, Iss. 19, pp. 6518-6518
Open Access | Times Cited: 2
Explainable Artificial Intelligence for Anomaly Detection and Prognostic of Gas Turbines using Uncertainty Quantification with Sensor-Related Data
Ahmad Kamal Mohd Nor, Srinivasa Rao Pedapati, Masdi Muhammad, et al.
(2021)
Open Access | Times Cited: 2
Ahmad Kamal Mohd Nor, Srinivasa Rao Pedapati, Masdi Muhammad, et al.
(2021)
Open Access | Times Cited: 2