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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:

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: 501

Showing 1-25 of 501 citing articles:

A review on empirical mode decomposition in fault diagnosis of rotating machinery
Yaguo Lei, Jing Lin, Zhengjia He, et al.
Mechanical Systems and Signal Processing (2012) Vol. 35, Iss. 1-2, pp. 108-126
Closed Access | Times Cited: 1598
Current status and future advances for wind speed and power forecasting
Jaesung Jung, Robert Broadwater
Renewable and Sustainable Energy Reviews (2014) Vol. 31, pp. 762-777
Closed Access | Times Cited: 628
A review of combined approaches for prediction of short-term wind speed and power
Akın Taşçıkaraoğlu, M. Uzunoglu
Renewable and Sustainable Energy Reviews (2014) Vol. 34, pp. 243-254
Closed Access | Times Cited: 598
A review of wind speed and wind power forecasting with deep neural networks
Yun Wang, Runmin Zou, Fang Liu, et al.
Applied Energy (2021) Vol. 304, pp. 117766-117766
Closed Access | Times Cited: 538
Improving Forecasting Accuracy of Annual Runoff Time Series Using ARIMA Based on EEMD Decomposition
Wenchuan Wang, Kwok‐wing Chau, Dong-mei Xu, et al.
Water Resources Management (2015) Vol. 29, Iss. 8, pp. 2655-2675
Closed Access | Times Cited: 525
Optimal parameters selection for BP neural network based on particle swarm optimization: A case study of wind speed forecasting
Chao Ren, Ning An, Jianzhou Wang, et al.
Knowledge-Based Systems (2013) Vol. 56, pp. 226-239
Closed Access | Times Cited: 488
Short-term wind speed forecasting using wavelet transform and support vector machines optimized by genetic algorithm
Da Liu, Dongxiao Niu, Hui Wang, et al.
Renewable Energy (2013) Vol. 62, pp. 592-597
Closed Access | Times Cited: 431
Practical options for selecting data-driven or physics-based prognostics algorithms with reviews
Dawn An, Nam Ho Kim, Joo-Ho Choi
Reliability Engineering & System Safety (2014) Vol. 133, pp. 223-236
Closed Access | Times Cited: 396
A review and discussion of decomposition-based hybrid models for wind energy forecasting applications
Zheng Qian, Yan Pei, Hamidreza Zareipour, et al.
Applied Energy (2018) Vol. 235, pp. 939-953
Closed Access | Times Cited: 329
Forecasting models for wind speed using wavelet, wavelet packet, time series and Artificial Neural Networks
Hui Liu, Hong-qi Tian, Di-fu Pan, et al.
Applied Energy (2013) Vol. 107, pp. 191-208
Closed Access | Times Cited: 324
Applications of hybrid models in chemical, petroleum, and energy systems: A systematic review
Sohrab Zendehboudi, Nima Rezaei, Ali Lohi
Applied Energy (2018) Vol. 228, pp. 2539-2566
Closed Access | Times Cited: 316
A Comparative Study of Empirical Mode Decomposition-Based Short-Term Wind Speed Forecasting Methods
Ye Ren, Ponnuthurai Nagaratnam Suganthan, Narasimalu Srikanth
IEEE Transactions on Sustainable Energy (2014) Vol. 6, Iss. 1, pp. 236-244
Closed Access | Times Cited: 303
Data processing strategies in wind energy forecasting models and applications: A comprehensive review
Hui Liu, Chao Chen
Applied Energy (2019) Vol. 249, pp. 392-408
Closed Access | Times Cited: 295
Monthly streamflow prediction using modified EMD-based support vector machine
Shengzhi Huang, Jianxia Chang, Qiang Huang, et al.
Journal of Hydrology (2014) Vol. 511, pp. 764-775
Closed Access | Times Cited: 291
A robust combination approach for short-term wind speed forecasting and analysis – Combination of the ARIMA (Autoregressive Integrated Moving Average), ELM (Extreme Learning Machine), SVM (Support Vector Machine) and LSSVM (Least Square SVM) forecasts using a GPR (Gaussian Process Regression) model
Jianzhou Wang, Jianming Hu
Energy (2015) Vol. 93, pp. 41-56
Closed Access | Times Cited: 289
Renewable energy: Present research and future scope of Artificial Intelligence
Sunil Kumar Jha, Jasmin Bilalovic, Anju Jha, et al.
Renewable and Sustainable Energy Reviews (2017) Vol. 77, pp. 297-317
Closed Access | Times Cited: 289
A Literature Review of Wind Forecasting Methods
Wen-Yeau Chang
Journal of Power and Energy Engineering (2014) Vol. 02, Iss. 04, pp. 161-168
Open Access | Times Cited: 279
Daily wind speed forecasting through hybrid KF-ANN model based on ARIMA
Osamah Basheer Shukur, Muhammad Hisyam Lee
Renewable Energy (2014) Vol. 76, pp. 637-647
Closed Access | Times Cited: 278
Wind Speed Prediction Using a Univariate ARIMA Model and a Multivariate NARX Model
Erasmo Cadenas, W. Rivera, Rafael Campos–Amezcua, et al.
Energies (2016) Vol. 9, Iss. 2, pp. 109-109
Open Access | Times Cited: 278
An improved multi-step forecasting model based on WRF ensembles and creative fuzzy systems for wind speed
Jing Zhao, Zhenhai Guo, Zhongyue Su, et al.
Applied Energy (2015) Vol. 162, pp. 808-826
Closed Access | Times Cited: 268
Improved annual rainfall-runoff forecasting using PSO–SVM model based on EEMD
Wenchuan Wang, Dong-mei Xu, Kwok‐wing Chau, et al.
Journal of Hydroinformatics (2013) Vol. 15, Iss. 4, pp. 1377-1390
Open Access | Times Cited: 264
Forecasting wind speed using empirical mode decomposition and Elman neural network
Jujie Wang, Wenyu Zhang, Yaning Li, et al.
Applied Soft Computing (2014) Vol. 23, pp. 452-459
Closed Access | Times Cited: 263
Deterministic wind energy forecasting: A review of intelligent predictors and auxiliary methods
Hui Liu, Chao Chen, Xinwei Lv, et al.
Energy Conversion and Management (2019) Vol. 195, pp. 328-345
Closed Access | Times Cited: 250
A compound structure of ELM based on feature selection and parameter optimization using hybrid backtracking search algorithm for wind speed forecasting
Chu Zhang, Jianzhong Zhou, Chaoshun Li, et al.
Energy Conversion and Management (2017) Vol. 143, pp. 360-376
Closed Access | Times Cited: 249
Forecasting carbon price using empirical mode decomposition and evolutionary least squares support vector regression
Bangzhu Zhu, Dong Han, Ping Wang, et al.
Applied Energy (2017) Vol. 191, pp. 521-530
Open Access | Times Cited: 242
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