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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:

Novel wind-speed prediction system based on dimensionality reduction and nonlinear weighting strategy for point-interval prediction
Xinyu Wang, Jianzhou Wang, Xinsong Niu, et al.
Expert Systems with Applications (2023) Vol. 241, pp. 122477-122477
Closed Access | Times Cited: 14

Showing 14 citing articles:

Optimal Planning for Wind Turbines in Mega Seaports Considering Practical Application Constraints: A Case Study of Ningbo-Zhoushan Port
Qianneng Zhang, Yipeng Jiang, Haidong Ren, et al.
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 4, pp. 631-631
Open Access | Times Cited: 5
An uncertainty quantification and accuracy enhancement method for deep regression prediction scenarios
Teng Zhang, Fangyu Peng, Rong Yan, et al.
Mechanical Systems and Signal Processing (2025) Vol. 227, pp. 112394-112394
Closed Access
Short-term extreme wind speed forecasting using dual-output LSTM-based regression and classification model
Paraskevi Modé, Cristoforo Demartino, Christos Τ. Georgakis, et al.
Journal of Wind Engineering and Industrial Aerodynamics (2025) Vol. 259, pp. 106035-106035
Open Access
Representing similarities of map projections: An approach to approximate integrations and dimensionality reductions
Jin Yan, Jun Zhang, Tiansheng Xu, et al.
Expert Systems with Applications (2025), pp. 126743-126743
Closed Access
A multi-factor clustering integration paradigm for wind speed point-interval prediction based on feature selection and optimized inverted transformer
Jujie Wang, Weiyi Jiang, Shuqin Shu, et al.
Energy (2025), pp. 135210-135210
Closed Access
Urban energy transition in renewable energy management considering policy and law challenges and opportunities in the pursuit of clean and sustainable urban environments
Can Yuan, Jing Xu, Lu Wang
Sustainable Cities and Society (2024) Vol. 111, pp. 105519-105519
Closed Access | Times Cited: 3
A novel interpretability machine learning model for wind speed forecasting based on feature and sub-model selection
Zhihao Shang, Yanhua Chen, Daokai Lai, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124560-124560
Closed Access | Times Cited: 2
Solving few-shot problem in wind speed prediction: A novel transfer strategy based on decomposition and learning ensemble
Yang Sun, Zhirui Tian
Applied Energy (2024) Vol. 377, pp. 124717-124717
Closed Access | Times Cited: 1
Using stacking ensemble learning to predict multi-step wind speed based on wavelet transformation, two-steps feature selection method, and neural networks
Faezeh Amirteimoury, Gholamreza Memarzadeh, Farshid Keynia
Measurement (2024) Vol. 244, pp. 116500-116500
Closed Access | Times Cited: 1
Using Stacking Ensemble Learning to Predict Multi-Step Wind Speed Based on Wavelet Transformation, a Two-Steps Feature Selection Method, and Neural Networks
Faezeh Amirteimoury, Gholamreza Memarzadeh, Farshid Keynia
(2024)
Closed Access
Multistep Wind Speed Prediction Based on the Fractional‐Order Longicorn Swarm Algorithm and the Two‐Stage Modal Decomposition Strategy
Shuren Pu, Yuanchen Gao, Sun Yi-feng, et al.
Journal of Electrical and Computer Engineering (2024) Vol. 2024, Iss. 1
Open Access
STGPT2UGAN: Spatio-Temporal GPT-2 United Generative Adversarial Network for Wind Speed Prediction in Turbine Network
Qiangsheng Dai, Yingchi Mao, Jiansong Tang, et al.
Applied Sciences (2024) Vol. 14, Iss. 23, pp. 11217-11217
Open Access
A two-stage deep learning-based hybrid model for daily wind speed forecasting
Shahab S. Band, Rasoul Ameri, Sultan Noman Qasem, et al.
Heliyon (2024) Vol. 11, Iss. 1, pp. e41026-e41026
Open Access
Probabilistic prediction intervals of short-term wind speed using selected features and time shift dependent machine learning models
Rami Al-Hajj, Gholamreza Oskrochi, Mohamad M. Fouad, et al.
Mathematical Biosciences & Engineering (2024) Vol. 22, Iss. 1, pp. 23-51
Open Access
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