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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:

Time series long-term forecasting model based on information granules and fuzzy clustering
Weina Wang, Witold Pedrycz, Xiaodong Liu
Engineering Applications of Artificial Intelligence (2015) Vol. 41, pp. 17-24
Closed Access | Times Cited: 104

Showing 1-25 of 104 citing articles:

Forecasting: theory and practice
Fotios Petropoulos, Daniele Apiletti, Vassilios Assimakopoulos, et al.
International Journal of Forecasting (2022) Vol. 38, Iss. 3, pp. 705-871
Open Access | Times Cited: 545
Wind power generation: A review and a research agenda
Soraida Aguilar, Gheisa Roberta Telles Esteves, Paula Maçaira, et al.
Journal of Cleaner Production (2019) Vol. 218, pp. 850-870
Closed Access | Times Cited: 224
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
Predicting future Brent oil price on global markets
Marek Vochоzka, Tomáš Krulický, Pedro Pardal
Acta Montanistica Slovaca (2020) Vol. 25, pp. 375-392
Open Access | Times Cited: 121
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
Enforcing situation awareness with granular computing: a systematic overview and new perspectives
Vincenzo Loia, Giuseppe D’Aniello, Angelo Gaeta, et al.
Granular Computing (2016) Vol. 1, Iss. 2, pp. 127-143
Open Access | Times Cited: 93
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
Multi-Objective Bilevel Coordinated Planning of Distributed Generation and Distribution Network Frame Based on Multiscenario Technique Considering Timing Characteristics
Yajing Gao, Xiaobo Hu, Wenhai Yang, et al.
IEEE Transactions on Sustainable Energy (2017) Vol. 8, Iss. 4, pp. 1415-1429
Closed Access | Times Cited: 87
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
Linear asymmetric Laplace fuzzy information granule and its application in short-to-medium term prediction for financial time series
Hong Yang, Lina Wang
Information Sciences (2024) Vol. 662, pp. 120278-120278
Closed Access | Times Cited: 7
A support vector machine for model selection in demand forecasting applications
Marco A. Villegas, Diego J. Pedregal, Juan R. Trapero
Computers & Industrial Engineering (2018) Vol. 121, pp. 1-7
Open Access | Times Cited: 72
A New Approach to Multiple Time Series Prediction Using MIMO Fuzzy Aggregation Models with Modular Neural Networks
Jesús Soto, Oscar Castillo, Patricia Melín, et al.
International Journal of Fuzzy Systems (2019) Vol. 21, Iss. 5, pp. 1629-1648
Closed Access | Times Cited: 67
A New Approach for Time Series Prediction Using Ensembles of IT2FNN Models with Optimization of Fuzzy Integrators
Jesús Soto, Patricia Melín, Oscar Castillo
International Journal of Fuzzy Systems (2018) Vol. 20, Iss. 3, pp. 701-728
Closed Access | Times Cited: 63
Performance degradation prediction of mechanical equipment based on optimized multi-kernel relevant vector machine and fuzzy information granulation
Fafa Chen, Yunpeng Yang, Baoping Tang, et al.
Measurement (2019) Vol. 151, pp. 107116-107116
Closed Access | Times Cited: 60
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 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 deep increasing–decreasing-linear neural network for financial time series prediction
Ricardo de A. Araújo, Nadia Nedjah, Adriano L. I. Oliveira, et al.
Neurocomputing (2019) Vol. 347, pp. 59-81
Closed Access | Times Cited: 50
Hidden Markov Models Based Approaches to Long-Term Prediction for Granular Time Series
Hongyue Guo, Witold Pedrycz, Xiaodong Liu
IEEE Transactions on Fuzzy Systems (2018) Vol. 26, Iss. 5, pp. 2807-2817
Closed Access | Times Cited: 49
Information Granules-Based BP Neural Network for Long-Term Prediction of Time Series
Weina Wang, Wanquan Liu, Hui Chen
IEEE Transactions on Fuzzy Systems (2020) Vol. 29, Iss. 10, pp. 2975-2987
Closed Access | Times Cited: 44
Neural Networks with Transfer Learning and Frequency Decomposition for Wind Speed Prediction with Missing Data
Xiaoou Li, Yingqin Zhu
Mathematics (2024) Vol. 12, Iss. 8, pp. 1137-1137
Open Access | Times Cited: 4
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
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
Long-term prediction of time series based on stepwise linear division algorithm and time-variant zonary fuzzy information granules
Chao Luo, Chenhao Tan, Zheng Yuan-jie
International Journal of Approximate Reasoning (2019) Vol. 108, pp. 38-61
Open Access | Times Cited: 41
A decomposition–integration model with dynamic fuzzy reconstruction for crude oil price prediction and the implications for sustainable development
Jian Chai, Yaru Wang, Shouyang Wang, et al.
Journal of Cleaner Production (2019) Vol. 229, pp. 775-786
Closed Access | Times Cited: 39
Fuzzy forecasting for long-term time series based on time-variant fuzzy information granules
Chao Luo, Haiyue Wang
Applied Soft Computing (2019) Vol. 88, pp. 106046-106046
Closed Access | Times Cited: 37
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