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:

Distributed Evolutionary Hyperparameter Optimization for Fuzzy Time Series
Petrônio Cândido de Lima e Silva, Patrícia de Oliveira e Lucas, Hossein Javedani Sadaei, et al.
IEEE Transactions on Network and Service Management (2020) Vol. 17, Iss. 3, pp. 1309-1321
Closed Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Review of automated time series forecasting pipelines
Stefan Meisenbacher, Marian Turowski, Kaleb Phipps, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2022) Vol. 12, Iss. 6
Open Access | Times Cited: 44

Reference evapotranspiration time series forecasting with ensemble of convolutional neural networks
Patrícia de Oliveira e Lucas, Marcos Antônio Alves, Petrônio Cândido de Lima e Silva, et al.
Computers and Electronics in Agriculture (2020) Vol. 177, pp. 105700-105700
Closed Access | Times Cited: 61

HyperTuneFaaS: A serverless framework for hyperparameter tuning in image processing models
J Zhang, Bojun Ren, Yicheng Fu, et al.
Displays (2025), pp. 102990-102990
Closed Access

Forecasting in non-stationary environments with fuzzy time series
Petrônio Cândido de Lima e Silva, Carlos Alberto Severiano, Marcos Antônio Alves, et al.
Applied Soft Computing (2020) Vol. 97, pp. 106825-106825
Open Access | Times Cited: 38

Combining embeddings and fuzzy time series for high-dimensional time series forecasting in internet of energy applications
Hugo Vinicius Bitencourt, Luiz Augusto Facury de Souza, Matheus Cascalho dos Santos, et al.
Energy (2023) Vol. 271, pp. 127072-127072
Closed Access | Times Cited: 11

A Tutorial on Fuzzy Time Series Forecasting Models: Recent Advances and Challenges
Patrícia de Oliveira e Lucas, Omid Orang, Petrônio Cândido de Lima e Silva, et al.
Learning and Nonlinear Models (2022) Vol. 19, Iss. 2, pp. 29-50
Open Access | Times Cited: 11

A Hidden Markov Model-based fuzzy modeling of multivariate time series
Jinbo Li, Witold Pedrycz, Xianmin Wang, et al.
Soft Computing (2022) Vol. 27, Iss. 2, pp. 837-854
Closed Access | Times Cited: 10

Solar Energy Forecasting With Fuzzy Time Series Using High-Order Fuzzy Cognitive Maps
Omid Orang, Rodrigo Silva, Petrônio Cândido de Lima e Silva, et al.
2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (2020), pp. 1-8
Closed Access | Times Cited: 14

An embedding-based non-stationary fuzzy time series method for multiple output high-dimensional multivariate time series forecasting in IoT applications
Hugo Vinicius Bitencourt, Omid Orang, Luiz Augusto Facury de Souza, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 13, pp. 9407-9420
Closed Access | Times Cited: 8

Navigating Market Sentiments: A Novel Approach to Iron Ore Price Forecasting with Weighted Fuzzy Time Series
Flavio Mauricio da Cunha Souza, Geraldo P. Rocha Filho, Frederico Gadelha Guimarães, et al.
Information (2024) Vol. 15, Iss. 5, pp. 251-251
Open Access | Times Cited: 1

Decoding Electroencephalography Signal Response by Stacking Ensemble Learning and Adaptive Differential Evolution
Matheus Henrique Dal Molin Ribeiro, Ramon Gomes da Silva, José Henrique Kleinübing Larcher, et al.
Sensors (2023) Vol. 23, Iss. 16, pp. 7049-7049
Open Access | Times Cited: 4

Extreme Learning Machine Enhanced Gradient Boosting for Credit Scoring
Yao Zou, Changchun Gao
Algorithms (2022) Vol. 15, Iss. 5, pp. 149-149
Open Access | Times Cited: 7

Interval type-2 fuzzy set based time series forecasting using a data-driven partitioning approach
Arthur Caio Vargas e Pinto, Thiago E. Fernandes, Petrônio Cândido de Lima e Silva, et al.
Evolving Systems (2022) Vol. 13, Iss. 5, pp. 703-721
Closed Access | Times Cited: 6

Enhancing Smart Grid Cybersecurity: A Comprehensive Analysis of Attacks, Defenses, and Innovative AI-Blockchain Solutions
Yazeed Yasin Ghadi, Dhani Bux Talpur, Tehseen Mazhar, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 3

High-dimensional Multivariate Time Series Forecasting in IoT Applications using Embedding Non-stationary Fuzzy Time Series
Hugo Vinicius Bitencourt, Frederico Gadelha Guimarães
(2021) Vol. 2, pp. 1-6
Open Access | Times Cited: 7

Fuzzy time series for predicting phenological stages of apple trees
Tiago Boechel, Lucas Micol Policarpo, Gabriel de Oliveira Ramos, et al.
(2021) Vol. 74, pp. 934-941
Closed Access | Times Cited: 6

A C4.5 Fuzzy Decision Tree Method for Multivariate Time Series Forecasting
Rafael R. C. Silva, Walmir M. Caminhas, Petrônio Cândido de Lima e Silva, et al.
2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (2021), pp. 1-6
Closed Access | Times Cited: 6

Application of the Average Based Fuzzy Time Series Model in Predictions Seeing the Use of Travo Substations
Mutammimul Ula, Ivan Satriawan, Rizky Putra Fhonna, et al.
Andalasian International Journal of Applied Science Engineering and Technology (2023) Vol. 3, Iss. 01, pp. 58-66
Open Access | Times Cited: 2

Self-Organised Direction Aware Data Partitioning for Type-2 Fuzzy Time Series Prediction
Arthur Caio Vargas e Pinto, Petrônio Cândido de Lima e Silva, Frederico Gadelha Guimarães, et al.
2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (2021), pp. 1-6
Closed Access | Times Cited: 3

Automatic Rule Generation for Cellular Automata Using Fuzzy Times Series Methods
Lucas Malacarne Astore, Frederico Gadelha Guimarães, Carlos Alberto Severiano
Lecture notes in computer science (2022), pp. 268-282
Closed Access | Times Cited: 2

High-dimensional Multivariate Time Series Forecasting using Self-Organizing Maps and Fuzzy Time Series
Matheus Cascalho dos Santos, Frederico Gadelha Guimarães, Petrônio Cândido de Lima e Silva
2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (2021), pp. 1-6
Closed Access | Times Cited: 2

Review of Swarm Intelligence for Improving Time Series Forecasting
Aziz Ouaarab, Eneko Osaba, Marwane Bouziane, et al.
Springer tracts in nature-inspired computing (2021), pp. 61-79
Closed Access | Times Cited: 1

Aggregation of Sentiment Analysis Index with Hesitant Fuzzy Sets for Financial Time Series Forecasting
Breno Costa Dolabela Dias, Hossein Javedani Sadaei, Petrônio Cândido de Lima e Silva, et al.
2022 IEEE World AI IoT Congress (AIIoT) (2021) Vol. 1, pp. 0433-0439
Closed Access | Times Cited: 1

Explorando causalidade na seleção de variáveis para previsão de séries temporais multivariadas
Patrícia de Oliveira e Lucas, Eduardo Mazoni Andrade Marçal Mendes, Frederico Gadelha Guimarães
(2023), pp. 1-7
Open Access

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