Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Beyond one-step-ahead forecasting: Evaluation of alternative multi-step-ahead forecasting models for crude oil prices
Tao Xiong, Yukun Bao, Zhongyi Hu
Energy Economics (2013) Vol. 40, pp. 405-415
Open Access | Times Cited: 155

Showing 1-25 of 155 citing articles:

Multi-step forecasting for wind speed using a modified EMD-based artificial neural network model
Zhenhai Guo, Weigang Zhao, Haiyan Lu, et al.
Renewable Energy (2011) Vol. 37, Iss. 1, pp. 241-249
Closed Access | Times Cited: 504
Wind speed and wind energy forecast through Kalman filtering of Numerical Weather Prediction model output
Federico Cassola, Massimiliano Burlando
Applied Energy (2012) Vol. 99, pp. 154-166
Closed Access | Times Cited: 484
A new forecasting model with wrapper-based feature selection approach using multi-objective optimization technique for chaotic crude oil time series
Seçkin Karasu, Aytaç Altan, Stelios Bekiros, et al.
Energy (2020) Vol. 212, pp. 118750-118750
Closed Access | Times Cited: 430
Comparison of two new ARIMA-ANN and ARIMA-Kalman hybrid methods for wind speed prediction
Hui Liu, Hong-qi Tian, Yanfei Li
Applied Energy (2012) Vol. 98, pp. 415-424
Closed Access | Times Cited: 378
A deep learning ensemble approach for crude oil price forecasting
Yang Zhao, Jianping Li, Lean Yu
Energy Economics (2017) Vol. 66, pp. 9-16
Closed Access | Times Cited: 340
A novel hybrid method for crude oil price forecasting
Jinliang Zhang, Yue‐Jun Zhang, Lu Zhang
Energy Economics (2015) Vol. 49, pp. 649-659
Open Access | Times Cited: 254
Analysis and application of forecasting models in wind power integration: A review of multi-step-ahead wind speed forecasting models
Jianzhou Wang, Yiliao Song, Feng Liu, et al.
Renewable and Sustainable Energy Reviews (2016) Vol. 60, pp. 960-981
Closed Access | Times Cited: 238
Hybrid filter–wrapper feature selection for short-term load forecasting
Zhongyi Hu, Yukun Bao, Tao Xiong, et al.
Engineering Applications of Artificial Intelligence (2015) Vol. 40, pp. 17-27
Closed Access | Times Cited: 192
A decomposition–ensemble model with data-characteristic-driven reconstruction for crude oil price forecasting
Lean Yu, Zishu Wang, Ling Tang
Applied Energy (2015) Vol. 156, pp. 251-267
Closed Access | Times Cited: 184
Multi-step-ahead stock price index forecasting using long short-term memory model with multivariate empirical mode decomposition
Changrui Deng, Yanmei Huang, Najmul Hasan, et al.
Information Sciences (2022) Vol. 607, pp. 297-321
Closed Access | Times Cited: 77
A novel hybrid ensemble learning paradigm for nuclear energy consumption forecasting
Ling Tang, Lean Yu, Shuai Wang, et al.
Applied Energy (2012) Vol. 93, pp. 432-443
Closed Access | Times Cited: 169
A comparative study of population-based optimization algorithms for downstream river flow forecasting by a hybrid neural network model
Xinyi Chen, Kwok‐wing Chau, A.O. Busari
Engineering Applications of Artificial Intelligence (2015) Vol. 46, pp. 258-268
Closed Access | Times Cited: 168
Seasonal forecasting of agricultural commodity price using a hybrid STL and ELM method: Evidence from the vegetable market in China
Tao Xiong, Chongguang Li, Yukun Bao
Neurocomputing (2017) Vol. 275, pp. 2831-2844
Closed Access | Times Cited: 154
Crude oil price analysis and forecasting using wavelet decomposed ensemble model
Kaijian He, Lean Yu, Kin Keung Lai
Energy (2012) Vol. 46, Iss. 1, pp. 564-574
Closed Access | Times Cited: 142
Comparing Variational and Empirical Mode Decomposition in Forecasting Day-Ahead Energy Prices
Salim Lahmiri
IEEE Systems Journal (2015) Vol. 11, Iss. 3, pp. 1907-1910
Closed Access | Times Cited: 137
A novel hybrid method of forecasting crude oil prices using complex network science and artificial intelligence algorithms
Minggang Wang, Longfeng Zhao, Ruijin Du, et al.
Applied Energy (2018) Vol. 220, pp. 480-495
Open Access | Times Cited: 133
A compressed sensing based AI learning paradigm for crude oil price forecasting
Lean Yu, Yang Zhao, Ling Tang
Energy Economics (2014) Vol. 46, pp. 236-245
Closed Access | Times Cited: 121
Mid-term interval load forecasting using multi-output support vector regression with a memetic algorithm for feature selection
Zhongyi Hu, Yukun Bao, Raymond Chiong, et al.
Energy (2015) Vol. 84, pp. 419-431
Closed Access | Times Cited: 116
Smart wind speed forecasting approach using various boosting algorithms, big multi-step forecasting strategy
Yanfei Li, Huipeng Shi, Feng-ze Han, et al.
Renewable Energy (2018) Vol. 135, pp. 540-553
Closed Access | Times Cited: 106
A combination method for interval forecasting of agricultural commodity futures prices
Tao Xiong, Chongguang Li, Yukun Bao, et al.
Knowledge-Based Systems (2015) Vol. 77, pp. 92-102
Closed Access | Times Cited: 100
Interval forecasting of electricity demand: A novel bivariate EMD-based support vector regression modeling framework
Tao Xiong, Yukun Bao, Zhongyi Hu
International Journal of Electrical Power & Energy Systems (2014) Vol. 63, pp. 353-362
Open Access | Times Cited: 95
Monthly crude oil spot price forecasting using variational mode decomposition
Jinchao Li, Shaowen Zhu, Qianqian Wu
Energy Economics (2019) Vol. 83, pp. 240-253
Closed Access | Times Cited: 92
A novel decompose-ensemble methodology with AIC-ANN approach for crude oil forecasting
Yishan Ding
Energy (2018) Vol. 154, pp. 328-336
Closed Access | Times Cited: 87
Crude oil price analysis and forecasting: A perspective of “new triangle”
Quanying Lu, Yuze Li, Jian Chai, et al.
Energy Economics (2020) Vol. 87, pp. 104721-104721
Closed Access | Times Cited: 72
Forecasting the crude oil prices with an EMD-ISBM-FNN model
Tianhui Fang, Chunling Zheng, Donghua Wang
Energy (2022) Vol. 263, pp. 125407-125407
Closed Access | Times Cited: 40
Page 1 - Next Page

Scroll to top