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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:

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

Showing 1-25 of 89 citing articles:

Long sequence time-series forecasting with deep learning: A survey
Zonglei Chen, Minbo Ma, Tianrui Li, et al.
Information Fusion (2023) Vol. 97, pp. 101819-101819
Closed Access | Times Cited: 102
Information granules-based long-term forecasting of time series via BPNN under three-way decision framework
Chenglong Zhu, Xueling Ma, Chao Zhang, et al.
Information Sciences (2023) Vol. 634, pp. 696-715
Closed Access | Times Cited: 45
A systematic review for transformer-based long-term series forecasting
Liyilei Su, Xumin Zuo, Rui Li, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 3
Open Access | Times Cited: 1
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
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
Weather and climate data for energy applications
Amin Amin, Monjur Mourshed
Renewable and Sustainable Energy Reviews (2023) Vol. 192, pp. 114247-114247
Open Access | Times Cited: 23
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
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
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
Intuitionistic fuzzy time series functions approach for time series forecasting
Eren Baş, Ufuk Yolcu, Erol Eǧrioǧlu
Granular Computing (2020) Vol. 6, Iss. 3, pp. 619-629
Open Access | Times Cited: 58
The Trend-Fuzzy-Granulation-Based Adaptive Fuzzy Cognitive Map for Long-Term Time Series Forecasting
Yihan Wang, Fusheng Yu, Władysław Homenda, et al.
IEEE Transactions on Fuzzy Systems (2022) Vol. 30, Iss. 12, pp. 5166-5180
Closed Access | Times Cited: 32
A multi-granularity hierarchical network for long- and short-term forecasting on multivariate time series data
Hong Yu, Z Wang, Yongfang Xie, et al.
Applied Soft Computing (2024) Vol. 157, pp. 111537-111537
Closed Access | Times Cited: 7
Clustering-based short-term load forecasting for residential electricity under the increasing-block pricing tariffs in China
Xin Fu, Xiao‐Jun Zeng, Pengpeng Feng, et al.
Energy (2018) Vol. 165, pp. 76-89
Open Access | Times Cited: 54
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
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
Trend-pattern unlimited fuzzy information granule-based LSTM model for long-term time-series forecasting
Yanan Jiang, Fusheng Yu, Yuqing Tang, et al.
International Journal of Approximate Reasoning (2025), pp. 109381-109381
Closed Access
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
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
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
The Long-Term Prediction of Time Series: A Granular Computing-Based Design Approach
Cong Ma, Liyong Zhang, Witold Pedrycz, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2022) Vol. 52, Iss. 10, pp. 6326-6338
Closed Access | Times Cited: 19
A novel forecasting model for the long-term fluctuation of time series based on polar fuzzy information granules
Chao Luo, Xi Song, Yuanjie Zheng
Information Sciences (2019) Vol. 512, pp. 760-779
Closed Access | Times Cited: 32
A review on solar forecasting and power management approaches for energy‐harvesting wireless sensor networks
Amandeep Sharma, Ajay K. Kakkar
International Journal of Communication Systems (2020) Vol. 33, Iss. 8
Closed Access | Times Cited: 31
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