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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:

Using interval information granules to improve forecasting in fuzzy time series
Wei Lu, Xueyan Chen, Witold Pedrycz, et al.
International Journal of Approximate Reasoning (2014) Vol. 57, pp. 1-18
Closed Access | Times Cited: 132

Showing 1-25 of 132 citing articles:

Forecast Methods for Time Series Data: A Survey
Zhenyu Liu, Zhengtong Zhu, Jing Gao, et al.
IEEE Access (2021) Vol. 9, pp. 91896-91912
Open Access | Times Cited: 129
A hybrid fuzzy time series forecasting model based on granular computing and bio-inspired optimization approaches
Pritpal Singh, Gaurav Dhiman
Journal of Computational Science (2018) Vol. 27, pp. 370-385
Closed Access | Times Cited: 130
A novel method for forecasting time series based on fuzzy logic and visibility graph
Rong Zhang, Baabak Ashuri, Yong Deng
Advances in Data Analysis and Classification (2017) Vol. 11, Iss. 4, pp. 759-783
Closed Access | Times Cited: 128
Short-term load forecasting method based on fuzzy time series, seasonality and long memory process
Hossein Javedani Sadaei, Frederico Gadelha Guimarães, Cidiney Silva, et al.
International Journal of Approximate Reasoning (2017) Vol. 83, pp. 196-217
Open Access | Times Cited: 111
Designing fuzzy time series forecasting models: A survey
Mahua Bose, Kalyani Mali
International Journal of Approximate Reasoning (2019) Vol. 111, pp. 78-99
Open Access | Times Cited: 106
Evolving granular analytics for interval time series forecasting
Leandro Maciel, Rosângela Ballini, Fernando Gomide
Granular Computing (2016) Vol. 1, Iss. 4, pp. 213-224
Closed Access | Times Cited: 99
Long-term forecasting of time series based on linear fuzzy information granules and fuzzy inference system
Xiyang Yang, Fusheng Yu, Witold Pedrycz
International Journal of Approximate Reasoning (2016) Vol. 81, pp. 1-27
Open Access | Times Cited: 89
Building Trend Fuzzy Granulation-Based LSTM Recurrent Neural Network for Long-Term Time-Series Forecasting
Yuqing Tang, Fusheng Yu, Witold Pedrycz, et al.
IEEE Transactions on Fuzzy Systems (2021) Vol. 30, Iss. 6, pp. 1599-1613
Closed Access | Times Cited: 66
Long-Term Time Series Forecasting With Multilinear Trend Fuzzy Information Granules for LSTM in a Periodic Framework
Chenglong Zhu, Xueling Ma, Weiping Ding, et al.
IEEE Transactions on Fuzzy Systems (2023) Vol. 32, Iss. 1, pp. 322-336
Closed Access | Times Cited: 25
Rainfall and financial forecasting using fuzzy time series and neural networks based model
Pritpal Singh
International Journal of Machine Learning and Cybernetics (2016) Vol. 9, Iss. 3, pp. 491-506
Closed Access | Times Cited: 63
Time-series clustering based on linear fuzzy information granules
Lingzi Duan, Fusheng Yu, Witold Pedrycz, et al.
Applied Soft Computing (2018) Vol. 73, pp. 1053-1067
Closed Access | Times Cited: 63
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
Improved seagull optimization algorithm of partition and XGBoost of prediction for fuzzy time series forecasting of COVID-19 daily confirmed
Sidong Xian, Kaiyuan Chen, Yue Cheng
Advances in Engineering Software (2022) Vol. 173, pp. 103212-103212
Open Access | Times Cited: 32
Fuzzy cognitive maps in the modeling of granular time series
Wojciech Froelich, Witold Pedrycz
Knowledge-Based Systems (2016) Vol. 115, pp. 110-122
Closed Access | Times Cited: 59
A combined robust fuzzy time series method for prediction of time series
Özge Cağcağ Yolcu, Hak‐Keung Lam
Neurocomputing (2017) Vol. 247, pp. 87-101
Open Access | Times Cited: 59
A novel data partitioning and rule selection technique for modeling high-order fuzzy time series
Mahua Bose, Kalyani Mali
Applied Soft Computing (2017) Vol. 63, pp. 87-96
Closed Access | Times Cited: 54
A quantum approach for time series data based on graph and Schrödinger equations methods
Pritpal Singh, Gaurav Dhiman, Amandeep Kaur
Modern Physics Letters A (2018) Vol. 33, Iss. 35, pp. 1850208-1850208
Closed Access | Times Cited: 54
A Fuzzy-LP Approach in Time Series Forecasting
Pritpal Singh, Gaurav Dhiman
Lecture notes in computer science (2017), pp. 243-253
Closed Access | Times Cited: 52
Short‐term traffic flow prediction using fuzzy information granulation approach under different time intervals
Jianhua Guo, Zhao Liu, Wei Huang, et al.
IET Intelligent Transport Systems (2017) Vol. 12, Iss. 2, pp. 143-150
Closed Access | Times Cited: 51
Prediction of TAIEX based on hybrid fuzzy time series model with single optimization process
Özge Cağcağ Yolcu, Faruk Alpaslan
Applied Soft Computing (2018) Vol. 66, pp. 18-33
Closed Access | Times Cited: 50
Clustering time series under trend-oriented fuzzy information granulation
Xiyang Yang, Fusheng Yu, Witold Pedrycz, et al.
Applied Soft Computing (2023) Vol. 141, pp. 110284-110284
Closed Access | Times Cited: 13
Long-term prediction of time series based on fuzzy time series and information granulation
Yunzhen Liu, Lidong Wang
Granular Computing (2024) Vol. 9, Iss. 2
Closed Access | Times Cited: 4
Cloud Model-Based Adaptive Time-Series Information Granulation Algorithm and Its Similarity Measurement
Hailan Chen, Xuedong Gao, Qi Wu, et al.
Entropy (2025) Vol. 27, Iss. 2, pp. 180-180
Open Access
Short-term forecasting for port throughput time series based on multi-modal fuzzy information granule
Fang Li, Wen H. Tong, Xiyang Yang
Applied Soft Computing (2025), pp. 112957-112957
Closed Access
A Hybrid Wind Speed Forecasting System Based on a ‘Decomposition and Ensemble’ Strategy and Fuzzy Time Series
Hufang Yang, Zaiping Jiang, Haiyan Lu
Energies (2017) Vol. 10, Iss. 9, pp. 1422-1422
Open Access | Times Cited: 47
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