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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:

A granular time series approach to long-term forecasting and trend forecasting
Ruijun Dong, Witold Pedrycz
Physica A Statistical Mechanics and its Applications (2008) Vol. 387, Iss. 13, pp. 3253-3270
Closed Access | Times Cited: 73

Showing 1-25 of 73 citing articles:

A hybrid annual power load forecasting model based on generalized regression neural network with fruit fly optimization algorithm
Hongze Li, Sen Guo, Chunjie Li, et al.
Knowledge-Based Systems (2012) Vol. 37, pp. 378-387
Closed Access | Times Cited: 467
An optimized grey model for annual power load forecasting
Huiru Zhao, Sen Guo
Energy (2016) Vol. 107, pp. 272-286
Closed Access | Times Cited: 201
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 Decision-Theoretic Rough Set Approach for Dynamic Data Mining
Hongmei Chen, Tianrui Li, Chuan Luo, et al.
IEEE Transactions on Fuzzy Systems (2015) Vol. 23, Iss. 6, pp. 1958-1970
Closed Access | Times Cited: 160
Modelling a combined method based on ANFIS and neural network improved by DE algorithm: A case study for short-term electricity demand forecasting
Yi Yang, Yanhua Chen, Yachen Wang, et al.
Applied Soft Computing (2016) Vol. 49, pp. 663-675
Closed Access | Times Cited: 148
A combined model based on data pre-analysis and weight coefficients optimization for electrical load forecasting
Li‐Ye Xiao, Jianzhou Wang, Ru Hou, et al.
Energy (2015) Vol. 82, pp. 524-549
Closed Access | Times Cited: 134
A least squares support vector machine model optimized by moth-flame optimization algorithm for annual power load forecasting
Cunbin Li, Shuke Li, Yunqi Liu
Applied Intelligence (2016) Vol. 45, Iss. 4, pp. 1166-1178
Closed Access | Times Cited: 128
Annual Electric Load Forecasting by a Least Squares Support Vector Machine with a Fruit Fly Optimization Algorithm
Hongze Li, Sen Guo, Huiru Zhao, et al.
Energies (2012) Vol. 5, Iss. 11, pp. 4430-4445
Open Access | Times Cited: 117
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
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
The modeling and prediction of time series based on synergy of high-order fuzzy cognitive map and fuzzy c-means clustering
Wei Lu, Jianhua Yang, Xiaodong Liu, et al.
Knowledge-Based Systems (2014) Vol. 70, pp. 242-255
Closed Access | Times Cited: 95
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
Maintenance of approximations in incomplete ordered decision systems while attribute values coarsening or refining
Hongmei Chen, Tianrui Li, Da Ruan
Knowledge-Based Systems (2012) Vol. 31, pp. 140-161
Closed Access | Times Cited: 84
Wavelet-based multi-resolution analysis and artificial neural networks for forecasting temperature and thermal power consumption
Julien Eynard, Stéphane Grieu, Monique Polit
Engineering Applications of Artificial Intelligence (2010) Vol. 24, Iss. 3, pp. 501-516
Open Access | Times Cited: 75
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
Granular Model of Long-Term Prediction for Energy System in Steel Industry
Jun Zhao, Zhongyang Han, Witold Pedrycz, et al.
IEEE Transactions on Cybernetics (2015) Vol. 46, Iss. 2, pp. 388-400
Closed Access | Times Cited: 55
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
DGM (1, 1) model optimized by MVO (multi-verse optimizer) for annual peak load forecasting
Huiru Zhao, Xiaoyu Han, Sen Guo
Neural Computing and Applications (2016) Vol. 30, Iss. 6, pp. 1811-1825
Closed Access | Times Cited: 36
On the development and performance evaluation of a multiobjective GA-based RBF adaptive model for the prediction of stock indices
Babita Majhi, Minakhi Rout, Vikas Baghel
Journal of King Saud University - Computer and Information Sciences (2013) Vol. 26, Iss. 3, pp. 319-331
Open Access | Times Cited: 34
Interest rate next-day variation prediction based on hybrid feedforward neural network, particle swarm optimization, and multiresolution techniques
Salim Lahmiri
Physica A Statistical Mechanics and its Applications (2015) Vol. 444, pp. 388-396
Closed Access | Times Cited: 31
Adaptive Granulation-Based Prediction for Energy System of Steel Industry
Tianyu Wang, Zhongyang Han, Jun Zhao, et al.
IEEE Transactions on Cybernetics (2016) Vol. 48, Iss. 1, pp. 127-138
Closed Access | Times Cited: 29
Linear dynamic fuzzy granule based long-term forecasting model of interval-valued time series
Yadong Hao, Shurong Jiang, Fusheng Yu, et al.
Information Sciences (2021) Vol. 586, pp. 563-595
Closed Access | Times Cited: 21
Long-term prediction enhancement based on multi-output Gaussian process regression integrated with production plans for oxygen supply network
Pengwei Zhou, Zuhua Xu, Xudong Peng, et al.
Computers & Chemical Engineering (2022) Vol. 163, pp. 107844-107844
Closed Access | Times Cited: 15
Granular-computing based hybrid collaborative fuzzy clustering for long-term prediction of multiple gas holders levels
Zhongyang Han, Jun Zhao, Quanli Liu, et al.
Information Sciences (2015) Vol. 330, pp. 175-185
Closed Access | Times Cited: 26
Modeling and long-term forecasting demand in spare parts logistics businesses
József Dombi, Tamás Jónás, Zsuzsanna Tóth
International Journal of Production Economics (2018) Vol. 201, pp. 1-17
Open Access | Times Cited: 26
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