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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:

An application of backtracking search optimization–based least squares support vector machine for prediction of short-term wind speed
Zhongda Tian, Yi Ren, Gang Wang
Wind Engineering (2019) Vol. 44, Iss. 3, pp. 266-281
Closed Access | Times Cited: 17

Showing 17 citing articles:

Artificial Intelligence Based Hybrid Forecasting Approaches for Wind Power Generation: Progress, Challenges and Prospects
Molla Shahadat Hossain Lipu, Md. Sazal Miah, M. A. Hannan, et al.
IEEE Access (2021) Vol. 9, pp. 102460-102489
Open Access | Times Cited: 61
Applications of Machine Learning to Wind Engineering
Teng Wu, Reda Snaiki
Frontiers in Built Environment (2022) Vol. 8
Open Access | Times Cited: 40
Operational framework for recent advances in backtracking search optimisation algorithm: A systematic review and performance evaluation
Bryar A. Hassan, Tarik A. Rashid
Applied Mathematics and Computation (2019) Vol. 370, pp. 124919-124919
Open Access | Times Cited: 69
A novel hybrid approach based on variational heteroscedastic Gaussian process regression for multi-step ahead wind speed forecasting
Chu Zhang, Peng Tian, Muhammad Shahzad Nazir
International Journal of Electrical Power & Energy Systems (2021) Vol. 136, pp. 107717-107717
Closed Access | Times Cited: 50
Machine Learning and Metaheuristic Methods for Renewable Power Forecasting: A Recent Review
Hanin Alkabbani, Ali Ahmadian, Qinqin Zhu, et al.
Frontiers in Chemical Engineering (2021) Vol. 3
Open Access | Times Cited: 43
An adaptive hybrid system using deep learning for wind speed forecasting
Paulo S. G. de Mattos Neto, João Fausto Lorenzato de Oliveira, Domingos S. de O. Santos, et al.
Information Sciences (2021) Vol. 581, pp. 495-514
Closed Access | Times Cited: 42
Effective LSTMs with seasonal-trend decomposition and adaptive learning and niching-based backtracking search algorithm for time series forecasting
Yuhan Wu, Xiyu Meng, Junru Zhang, et al.
Expert Systems with Applications (2023) Vol. 236, pp. 121202-121202
Closed Access | Times Cited: 20
Hybrid neural network-aided strong wind speed prediction along rail network
Yuhang Liu, Zhipeng Zhang, Yujie Huang, et al.
Journal of Wind Engineering and Industrial Aerodynamics (2024) Vol. 252, pp. 105813-105813
Closed Access | Times Cited: 4
A quantum mutation-based backtracking search algorithm
Sukanta Nama, Sushmita Sharma, Apu Kumar Saha, et al.
Artificial Intelligence Review (2021) Vol. 55, Iss. 4, pp. 3019-3073
Closed Access | Times Cited: 27
A Survey of Artificial Intelligence Applications in Wind Energy Forecasting
Poonam Dhaka, Mini Sreejeth, M. M. Tripathi
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 2
Applying SLAM Algorithm Based on Nonlinear Optimized Monocular Vision and IMU in the Positioning Method of Power Inspection Robot in Complex Environment
Can Wang, Zhibin Li, Yefei Kang, et al.
Mathematical Problems in Engineering (2022) Vol. 2022, pp. 1-14
Open Access | Times Cited: 5
Wind power generation forecast by coupling numerical weather prediction model and gradient boosting machines in Yahyalı wind power plant
Cem Özen, Umur Dinç, Ali Deniz, et al.
Wind Engineering (2020) Vol. 45, Iss. 5, pp. 1256-1272
Closed Access | Times Cited: 7
Ultra-short-term wind speed prediction based on variational mode decomposition and optimized extreme learning machine
Lian Lian, Kan He
Wind Engineering (2021) Vol. 46, Iss. 2, pp. 556-571
Closed Access | Times Cited: 6
Wind speed prediction based on CEEMD-SE and multiple echo state network with Gauss–Markov fusion
Lian Lian
Review of Scientific Instruments (2022) Vol. 93, Iss. 1
Closed Access | Times Cited: 4
An Improved Logistic Regression Method for Assessing the Performance of Track and Field Sports
Zheng Songling, Man Xi
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-10
Open Access | Times Cited: 3
A survey of intelligent energy management based on learning heuristic
Musa Abdullah Hamed, Esam Taha Yassin Hussein, Wesam M. Jasim
Indonesian Journal of Electrical Engineering and Computer Science (2023) Vol. 30, Iss. 2, pp. 1242-1242
Open Access | Times Cited: 1
Multi‐step wind speed and wind power forecasting using variational momentum factor and deep learning based intelligent neural network models
Deepa Subramaniam Nachimuthu, Abhik Banerjee, Jayakumar Karuppaiah
Concurrency and Computation Practice and Experience (2021) Vol. 34, Iss. 6
Closed Access | Times Cited: 3
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