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:

Hybrid Approach Combining SARIMA and Neural Networks for Multi-Step Ahead Wind Speed Forecasting in Brazil
David Barbosa de Alencar, Carolina M. Affonso, Oliveira Júnior, et al.
IEEE Access (2018) Vol. 6, pp. 55986-55994
Open Access | Times Cited: 57

Showing 26-50 of 57 citing articles:

RETRACTED ARTICLE: SLA-aware load balancing using risk management framework in cloud
Abhishek Gupta, H. S. Bhadauria, Annapurna Singh
Journal of Ambient Intelligence and Humanized Computing (2020) Vol. 12, Iss. 7, pp. 7559-7568
Closed Access | Times Cited: 10

A Hybrid Method for Ultrashort-Term Wind Power Prediction considering Meteorological Features and Seasonal Information
Baobin Zhou, Che Liu, Jianjing Li, et al.
Mathematical Problems in Engineering (2020) Vol. 2020, pp. 1-12
Open Access | Times Cited: 9

Multi-step ahead time-series wind speed forecasting for smart-grid application
Hasmat Malik, Tahir Khurshaid, Abdulaziz Almutairi, et al.
Journal of Intelligent & Fuzzy Systems (2021) Vol. 42, Iss. 2, pp. 633-646
Closed Access | Times Cited: 8

Online assessment of failure probability for smart meters based on SARIMA-LTFRLS
Lisha Ma, Zhaosheng Teng, Zhiqiang Meng, et al.
Electric Power Systems Research (2022) Vol. 214, pp. 108836-108836
Open Access | Times Cited: 5

A New Hybrid ARAR and Neural Network Model for Multi-Step Ahead Wind Speed Forecasting in Three Regions of Pakistan
Mirza Naveed Shahzad, Saiqa Kanwal, Abid Hussanan
IEEE Access (2020) Vol. 8, pp. 199382-199392
Open Access | Times Cited: 6

Very Short Term Wind Speed Forecasting Using Convolutional Long Short Term Memory Recurrent Neural Network
Firuz Ahamed Nahid, Weerakorn Ongsakul, Nimal Madhu M.
(2020), pp. 1-8
Closed Access | Times Cited: 6

Cambodia Mid-Term Transmission System Load Forecasting with the combination of Seasonal ARIMA and Gaussian Process Regression
Phornnara Nop, Zhijun Qin
2021 3rd Asia Energy and Electrical Engineering Symposium (AEEES) (2021) Vol. pas 99, pp. 700-707
Closed Access | Times Cited: 6

Intelligent Data Analytics for Wind Speed Forecasting for Wind Power Production Using Long Short-Term Memory (LSTM) Network
Hasmat Malik, Nuzhat Fatema, Atif Iqbal
Elsevier eBooks (2021), pp. 165-192
Closed Access | Times Cited: 5

Wind Speed Time Series Prediction Using a Single Dendritic Neuron Model
Zhenyu Song, Tianle Zhou, Xuemei Yan, et al.
(2020), pp. 140-144
Closed Access | Times Cited: 5

Determining Optimal Operating Reserves Toward Wind Power Penetration in Indonesia Based on Hybrid Artificial Intelligence
Dhany Harmeidy Barus, Rinaldy Dalimi
IEEE Access (2021) Vol. 9, pp. 165173-165183
Open Access | Times Cited: 4

Wind Speed Forecasting using Deep Learning
V. Janakiraman, P. Chitra
(2024), pp. 250-254
Closed Access

Wind Speed Forecasting Using Innovative Regression Applications of Machine Learning Techniques
Arash Moradzadeh, Amin Mansour‐Saatloo, Morteza Nazari‐Heris, et al.
Power systems (2021), pp. 249-263
Closed Access | Times Cited: 3

Biological Engineering Analysis of Vermicompost Based on Image Features and Machine Learning
Hongyan Wang, Ling Wang, Jiabin Liu, et al.
Mobile Information Systems (2022) Vol. 2022, pp. 1-14
Open Access | Times Cited: 2

Wind Power Forecasting using Artificial Neural Network
Mohammad A. Obeidat, Baker N Al Ameryeen, Ayman Mansour, et al.
WSEAS TRANSACTIONS ON POWER SYSTEMS (2022) Vol. 17, pp. 269-279
Open Access | Times Cited: 2

Implementation of Multiplicative Seasonal ARIMA Modeling and Flood Prediction Based on Long-Term Time Series Data in Indonesia
Sri Supatmi, Rongtao Huo, I D Sumitra
Lecture notes in computer science (2019), pp. 38-50
Closed Access | Times Cited: 2

Wind Power Prediction Based on Principal Component Analysis and Long Short-Term Memory Networks
Weiming Lang, Xiangjin Ma, Yanhong Luo, et al.
(2019), pp. 3063-3068
Closed Access | Times Cited: 2

A Forecasting Method Based on ARIMA Model for Best-Fitted Nutrition Water Supplement on Fruits
Saravanakumar Venkatesan, Sathishkumar Veerappampalayam Easwaramoorthy, Changsun Shin, et al.
International Journal of Engineering and Advanced Technology (2019) Vol. 9, Iss. 2, pp. 3167-3173
Open Access | Times Cited: 2

Network Bandwidth Usage Forecast in Content Delivery Networks
Aykut Teker, Ahmet Haydar Örnek, Berk Canberk
(2020)
Closed Access | Times Cited: 2

Recovering Missing Values from Corrupted Historical Spectrum Observations for Dependable Spectrum Prediction
Xi Li, Zhicheng Liu, Yinfei Xu, et al.
2022 IEEE/CIC International Conference on Communications in China (ICCC) (2020), pp. 941-946
Closed Access | Times Cited: 2

Multinodal Forecasting of Industrial Power Load Using Participation Factor and Ensemble Learning
Mao Tan, Yong Liu, Buming Meng, et al.
2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2) (2020), pp. 745-750
Closed Access | Times Cited: 2

Advance Coordinative Control for the PCC Voltage Fluctuations of the Asynchronous Wind Generator Based on the STATCOM with TSC
Minglei Wang, Xiangyu Wang, Jinxin Qiao, et al.
(2019), pp. 1-6
Closed Access | Times Cited: 1

Prediction of Housing Prices Using Machine Learning, Time Series ARIMA Model and Artificial Neural Network
Shivani Mangaleswaran, S. Vigneshwari
Lecture notes in electrical engineering (2020), pp. 1002-1008
Closed Access | Times Cited: 1

Hybrid Neural Networks for Renewable Energy Forecasting
Firuz Ahamed Nahid, Weerakorn Ongsakul, Nimal Madhu M., et al.
Advances in computer and electrical engineering book series (2020), pp. 200-222
Closed Access | Times Cited: 1

Airside terminal traffic flow problem formulation under extreme weather: A case study in the Hong Kong International Airport
Tsz Chun Yeung, Cho Yin Yiu, Kam K.H. Ng, et al.
2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS) (2022), pp. 1-6
Closed Access | Times Cited: 1

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