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:

Intuitionistic Fuzzy Time Series Forecasting Model Based on Intuitionistic Fuzzy Reasoning
Yanan Wang, Yingjie Lei, Xiaoshi Fan, et al.
Mathematical Problems in Engineering (2016) Vol. 2016, pp. 1-12
Open Access | Times Cited: 62

Showing 1-25 of 62 citing articles:

Particle swarm optimization and intuitionistic fuzzy set-based novel method for fuzzy time series forecasting
Manish Pant, Sanjay Kumar
Granular Computing (2021) Vol. 7, Iss. 2, pp. 285-303
Closed Access | Times Cited: 57

A novel probabilistic intuitionistic fuzzy set based model for high order fuzzy time series forecasting
Radha Mohan Pattanayak, H. S. Behera, Sibarama Panigrahi
Engineering Applications of Artificial Intelligence (2020) Vol. 99, pp. 104136-104136
Closed Access | Times Cited: 62

A Study of Time Series Forecasting Enrollments Using Fuzzy Interval Partitioning Method
Rabia Hanif, Saima Mustafa, Shafqat Iqbal, et al.
Journal of Computational and Cognitive Engineering (2022) Vol. 2, Iss. 2, pp. 143-149
Open Access | Times Cited: 36

Intuitionistic high-order fuzzy time series forecasting method based on pi-sigma artificial neural networks trained by artificial bee colony
Erol Eğrioğlu, Ufuk Yolcu, Eren Baş
Granular Computing (2018) Vol. 4, Iss. 4, pp. 639-654
Closed Access | Times Cited: 58

Hesitant probabilistic fuzzy set based time series forecasting method
Krishna Kumar Gupta, Sanjay Kumar
Granular Computing (2018) Vol. 4, Iss. 4, pp. 739-758
Closed Access | Times Cited: 49

A refined method of forecasting based on high-order intuitionistic fuzzy time series data
Abhishekh, Surendra Singh Gautam, Somveer Singh
Progress in Artificial Intelligence (2018) Vol. 7, Iss. 4, pp. 339-350
Closed Access | Times Cited: 41

A novel high-order fuzzy time series forecasting method based on probabilistic fuzzy sets
Krishna Kumar Gupta, Sanjay Kumar
Granular Computing (2019) Vol. 4, Iss. 4, pp. 699-713
Closed Access | Times Cited: 35

Picture fuzzy time series: Defining, modeling and creating a new forecasting method
Erol Eğrioğlu, Eren Baş, Ufuk Yolcu, et al.
Engineering Applications of Artificial Intelligence (2019) Vol. 88, pp. 103367-103367
Closed Access | Times Cited: 35

Fuzzy time series forecasting based on hesitant fuzzy sets, particle swarm optimization and support vector machine-based hybrid method
Manish Pant, Sanjay Kumar
Granular Computing (2021) Vol. 7, Iss. 4, pp. 861-879
Closed Access | Times Cited: 29

A novel intuitionistic fuzzy time series prediction model with cascaded structure for financial time series
Özge Cağcağ Yolcu, Ufuk Yolcu
Expert Systems with Applications (2022) Vol. 215, pp. 119336-119336
Open Access | Times Cited: 21

Hesitant fuzzy set based computational method for financial time series forecasting
Kamlesh Bisht, Sanjay Kumar
Granular Computing (2018) Vol. 4, Iss. 4, pp. 655-669
Closed Access | Times Cited: 33

A Refined Approach for Forecasting Based on Neutrosophic Time Series
Mohamed Abdel‐Basset, Victor Chang, Mai Mohamed, et al.
Symmetry (2019) Vol. 11, Iss. 4, pp. 457-457
Open Access | Times Cited: 31

A Novel Moving Average Forecasting Approach Using Fuzzy Time Series Data Set
Surendra Singh Gautam, Abhishekh
Journal of Control Automation and Electrical Systems (2019) Vol. 30, Iss. 4, pp. 532-544
Closed Access | Times Cited: 26

Peramalan Nilai Tukar Petani Subsektor Peternakan Menggunakan Fuzzy Time Series Lee
Mahadi Muhammad, Sri Wahyuningsih, Meiliyani Siringoringo
Jambura Journal of Mathematics (2021) Vol. 3, Iss. 1, pp. 1-15
Open Access | Times Cited: 20

A hybrid sigma-pi neural network for combined intuitionistic fuzzy time series prediction model
Sule Nazlı Arslan, Özge Cağcağ Yolcu
Neural Computing and Applications (2022) Vol. 34, Iss. 15, pp. 12895-12917
Closed Access | Times Cited: 14

Robust intuitionistic fuzzy regression functions approaches
Erol Eğrioğlu, Eren Baş
Information Sciences (2023) Vol. 638, pp. 118992-118992
Closed Access | Times Cited: 8

A novel intuitionistic fuzzy time series method based on bootstrapped combined pi-sigma artificial neural network
Eren Baş, Erol Eğrioğlu, Emine Kolemen
Engineering Applications of Artificial Intelligence (2022) Vol. 114, pp. 105030-105030
Closed Access | Times Cited: 13

Strong (α, k)-cut and computational-based segmentation based novel hesitant fuzzy time series forecasting model
Manish Pant, Nisha Mehra
Applied Soft Computing (2024) Vol. 153, pp. 111251-111251
Closed Access | Times Cited: 2

Multivariate intuitionistic fuzzy inference system for stock market prediction: The cases of Istanbul and Taiwan
Özge Cağcağ Yolcu, Erol Eğrioğlu, Eren Baş, et al.
Applied Soft Computing (2021) Vol. 116, pp. 108363-108363
Closed Access | Times Cited: 17

Intuitionistic fuzzy ridge regression functions
Busenur Kizilaslan, Erol Eǧrioǧlu, Atıf Evren
Communications in Statistics - Simulation and Computation (2019) Vol. 49, Iss. 3, pp. 699-708
Closed Access | Times Cited: 18

Intuitionistic Fuzzy Set-Based Computational Method for Financial Time Series Forecasting
Kamlesh Bisht, Sanjay Kumar
Fuzzy Information and Engineering (2018) Vol. 10, Iss. 3, pp. 307-323
Open Access | Times Cited: 18

A Non-Probabilistic Neutrosophic Entropy-Based Method For High-Order Fuzzy Time-Series Forecasting
Radha Mohan Pattanayak, H. S. Behera, Sibarama Panigrahi
Arabian Journal for Science and Engineering (2021) Vol. 47, Iss. 2, pp. 1399-1421
Closed Access | Times Cited: 13

Computational-based partitioning and Strong α,β-cut based novel method for intuitionistic fuzzy time series forecasting
Manish Pant, Kamlesh Bisht, Seema Negi
Applied Soft Computing (2023) Vol. 142, pp. 110336-110336
Closed Access | Times Cited: 5

Hyperautomation on fuzzy data dredging on four advanced industrial forecasting models to support sustainable business management
You‐Shyang Chen, Arun Kumar Sangaiah, Yu‐Pei Lin
Annals of Operations Research (2024) Vol. 342, Iss. 1, pp. 215-264
Closed Access | Times Cited: 1

A Semiparametric Model for Time Series Based on Fuzzy Data
Gholamreza Hesamian, Mohammad Ghasem Akbari
IEEE Transactions on Fuzzy Systems (2018) Vol. 26, Iss. 5, pp. 2953-2966
Closed Access | Times Cited: 13

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