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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:

TAIEX forecasting based on fuzzy time series, particle swarm optimization techniques and support vector machines
Shyi‐Ming Chen, Pei-Yuan Kao
Information Sciences (2013) Vol. 247, pp. 62-71
Closed Access | Times Cited: 168

Showing 1-25 of 168 citing articles:

A hybrid fuzzy time series model based on granular computing for stock price forecasting
Mu‐Yen Chen, Bo-Tsuen Chen
Information Sciences (2014) Vol. 294, pp. 227-241
Closed Access | Times Cited: 218
Application of evolutionary computation for rule discovery in stock algorithmic trading: A literature review
Yong Hu, Kang Liu, Xiangzhou Zhang, et al.
Applied Soft Computing (2015) Vol. 36, pp. 534-551
Closed Access | Times Cited: 178
A new fuzzy time series forecasting model combined with ant colony optimization and auto-regression
Qisen Cai, Defu Zhang, Wei Zheng, et al.
Knowledge-Based Systems (2014) Vol. 74, pp. 61-68
Closed Access | Times Cited: 164
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
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
Fuzzy time series forecasting based on optimal partitions of intervals and optimal weighting vectors
Shyi‐Ming Chen, Phuong Ha Dang Bui
Knowledge-Based Systems (2016) Vol. 118, pp. 204-216
Closed Access | Times Cited: 128
Pythagorean fuzzy Hamacher Prioritized aggregation operators in multiple attribute decision making
Hui Gao
Journal of Intelligent & Fuzzy Systems (2018) Vol. 35, Iss. 2, pp. 2229-2245
Closed Access | Times Cited: 127
Fuzzy forecasting based on two-factors second-order fuzzy-trend logical relationship groups, similarity measures and PSO techniques
Shyi‐Ming Chen, Wen-Shan Jian
Information Sciences (2016) Vol. 391-392, pp. 65-79
Closed Access | Times Cited: 122
A novel forecasting method based on multi-order fuzzy time series and technical analysis
Furong Ye, Liming Zhang, Defu Zhang, et al.
Information Sciences (2016) Vol. 367-368, pp. 41-57
Closed Access | Times Cited: 109
Electric Load Forecasting Based on a Least Squares Support Vector Machine with Fuzzy Time Series and Global Harmony Search Algorithm
Yan Chen, Wei‐Chiang Hong, Wen Shen, et al.
Energies (2016) Vol. 9, Iss. 2, pp. 70-70
Open Access | Times Cited: 106
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
Multiple classifiers fusion and CNN feature extraction for handwritten digits recognition
Huihuang Zhao, Han Liu
Granular Computing (2019) Vol. 5, Iss. 3, pp. 411-418
Open Access | Times Cited: 103
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
A new procedure in stock market forecasting based on fuzzy random auto-regression time series model
Riswan Efendi, Nureize Arbaiy, Mustafa Mat Deris
Information Sciences (2018) Vol. 441, pp. 113-132
Open Access | Times Cited: 86
A novel hybrid approach for wind speed prediction
Jujie Wang, Wenyu Zhang, Jianzhou Wang, et al.
Information Sciences (2014) Vol. 273, pp. 304-318
Closed Access | Times Cited: 85
Fuzzy time-series model based on rough set rule induction for forecasting stock price
Ching‐Hsue Cheng, Jun-He Yang
Neurocomputing (2018) Vol. 302, pp. 33-45
Closed Access | Times Cited: 79
Determination of temporal information granules to improve forecasting in fuzzy time series
Lizhu Wang, Xiaodong Liu, Witold Pedrycz, et al.
Expert Systems with Applications (2013) Vol. 41, Iss. 6, pp. 3134-3142
Closed Access | Times Cited: 72
A study on leading machine learning techniques for high order fuzzy time series forecasting
Sibarama Panigrahi, H. S. Behera
Engineering Applications of Artificial Intelligence (2019) Vol. 87, pp. 103245-103245
Closed Access | Times Cited: 67
Linguistic intuitionistic fuzzy Hamacher aggregation operators and their application to group decision making
Jie Tang, Fanyong Meng
Granular Computing (2018) Vol. 4, Iss. 1, pp. 109-124
Closed Access | Times Cited: 64
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
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
Assessing information security risk for an evolving smart city based on fuzzy and grey FMEA
Xiaotong Li, Hua Li, Bingzhen Sun, et al.
Journal of Intelligent & Fuzzy Systems (2018) Vol. 34, Iss. 4, pp. 2491-2501
Closed Access | Times Cited: 59
Fuzzy forecasting based on linear combinations of independent variables, subtractive clustering algorithm and artificial bee colony algorithm
Shouzhen Zeng, Shyi‐Ming Chen, Mario Orlando Teng
Information Sciences (2019) Vol. 484, pp. 350-366
Closed Access | Times Cited: 56
A Novel Hybrid Model for Stock Price Forecasting Based on Metaheuristics and Support Vector Machine
Mojtaba Sedighi, Hossein Jahangirnia, Mohsen Gharakhani, et al.
Data (2019) Vol. 4, Iss. 2, pp. 75-75
Open Access | Times Cited: 56
Time Series Prediction Using Sparse Autoencoder and High-Order Fuzzy Cognitive Maps
Kai Wu, Jing Liu, Penghui Liu, et al.
IEEE Transactions on Fuzzy Systems (2019) Vol. 28, Iss. 12, pp. 3110-3121
Closed Access | Times Cited: 56
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