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:

Novel wind speed forecasting model based on a deep learning combined strategy in urban energy systems
Hao Yan, Wendong Yang, Kedong Yin
Expert Systems with Applications (2023) Vol. 219, pp. 119636-119636
Closed Access | Times Cited: 41

Showing 26-50 of 41 citing articles:

A Novel Hybrid Deep Learning Model for Forecasting Ultra-Short-Term Time Series Wind Speeds for Wind Turbines
Jianzan Yang, Pang Feng, Huawei Xiang, et al.
Processes (2023) Vol. 11, Iss. 11, pp. 3247-3247
Open Access | Times Cited: 3

Short-Term Wind Speed Forecasting Based on VMD-SE-CEEMDAN-PSO-SVR
永月 王
Operations Research and Fuzziology (2024) Vol. 14, Iss. 02, pp. 360-372
Closed Access

Evaluation of Weather Forecasting Models and Handling Anomalies in Short-Term Wind Speed Data
P. A. Jayasri, R. Manimegalai, C. S. Reshmah, et al.
Lecture notes in networks and systems (2024), pp. 137-147
Closed Access

An image-to-image adversarial network to generate high resolution wind data over complex terrains from weather predictions
Jaime Milla-Val, Carlos Montañés, Norberto Fueyo
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109533-109533
Open Access

A state-of-the-art analysis on decomposition method for short-term wind speed forecasting using LSTM and a novel hybrid deep learning model
Yang Liang, Dongqin Zhang, Jize Zhang, et al.
Energy (2024) Vol. 313, pp. 133826-133826
Closed Access

Research progress and prospects of machine learning applications in renewable energy: a comprehensive bibliometric-based review
Xuping Wang, Yong Shen, Chang Su
International Journal of Environmental Science and Technology (2024)
Closed Access

Artificial-Intelligence-Based Model for Early Strong Wind Warnings for High-Speed Railway System
Wei Gu, Hongyan Xing, Guoyuan Yang, et al.
Electronics (2024) Vol. 13, Iss. 23, pp. 4582-4582
Open Access

CCC2023_possibilities of obtaining energy from aerodynamic phenomena occurring in selected housing estates in Warsaw, Poland
Anna Stefańska, Maja Sutkowska, Julia Krawczyk, et al.
International Journal of Construction Management (2024), pp. 1-14
Open Access

EVALUATING THE PERFORMANCE AND ACCURACY OF AI TECHNIQUES IN WIND SPEED FORECASTING
Ashish B. Sasankar, Priyanka Soitkar
ShodhKosh Journal of Visual and Performing Arts (2024) Vol. 5, Iss. 7
Closed Access

A parsimonious ensemble with optimal deep learning and secondary decomposition for short-term wind speed forecasting
Wenxin Xia, Jinxing Che
Journal of Intelligent & Fuzzy Systems (2023) Vol. 45, Iss. 6, pp. 10799-10822
Closed Access

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