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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:

Wind speed interval prediction based on multidimensional time series of Convolutional Neural Networks
Jiyang Wang, Zhiwu Li
Engineering Applications of Artificial Intelligence (2023) Vol. 121, pp. 105987-105987
Closed Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

A wind speed forcasting model based on rime optimization based VMD and multi-headed self-attention-LSTM
Wenhui Liu, Yulong Bai, xiaoxin Yue, et al.
Energy (2024) Vol. 294, pp. 130726-130726
Closed Access | Times Cited: 35
CNNs-Transformer based day-ahead probabilistic load forecasting for weekends with limited data availability
Zhirui Tian, Weican Liu, Wenqian Jiang, et al.
Energy (2024) Vol. 293, pp. 130666-130666
Closed Access | Times Cited: 34
A comprehensive review on the development of data-driven methods for wind power prediction and AGC performance evaluation in wind–thermal bundled power systems
Shuai Wang, Bin Li, Guanzheng Li, et al.
Energy and AI (2024) Vol. 16, pp. 100336-100336
Open Access | Times Cited: 10
A parallel differential learning ensemble framework based on enhanced feature extraction and anti-information leakage mechanism for ultra-short-term wind speed forecast
Jujie Wang, Yafen Liu, Yaning Li
Applied Energy (2024) Vol. 361, pp. 122909-122909
Closed Access | Times Cited: 8
A novel dynamic spatio-temporal graph convolutional network for wind speed interval prediction
Zhengganzhe Chen, Bin Zhang, Chenglong Du, et al.
Energy (2024) Vol. 294, pp. 130930-130930
Closed Access | Times Cited: 8
A point-interval wind speed forecasting system based on fuzzy theory and neural networks architecture searching strategy
Jingjiang Liu, Jianzhou Wang, Yunbo Niu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 132, pp. 107906-107906
Closed Access | Times Cited: 6
Stochastic optimal scheduling strategy for a campus-isolated microgrid energy management system considering dependencies
Weichao Dong, Hexu Sun, Chunxiao Mei, et al.
Energy Conversion and Management (2023) Vol. 292, pp. 117341-117341
Closed Access | Times Cited: 14
DTTM: A deep temporal transfer model for ultra-short-term online wind power forecasting
Mingwei Zhong, Cancheng Xu, Zikang Xian, et al.
Energy (2023) Vol. 286, pp. 129588-129588
Closed Access | Times Cited: 14
Wind speed prediction utilizing dynamic spectral regression broad learning system coupled with multimodal information
Ziwen Gu, Yatao Shen, Zijian Wang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 131, pp. 107856-107856
Closed Access | Times Cited: 4
Forecasting and uncertainty analysis of tailings dam system safety based on data mining techniques
Tengteng Hao, Kaili Xu, Xin Zheng, et al.
Applied Mathematical Modelling (2024) Vol. 133, pp. 474-490
Closed Access | Times Cited: 4
Prediction of wind load power spectrum on high-rise buildings by various machine learning algorithms
Yi Li, Peng-Kun Yin, Fubin Chen
Structures (2024) Vol. 67, pp. 107015-107015
Closed Access | Times Cited: 4
A wind speed point-interval fuzzy forecasting system based on data decomposition and multiobjective optimizer
Yurui Xia, Jianzhou Wang, Ziyuan Zhang, et al.
Applied Soft Computing (2024) Vol. 165, pp. 112084-112084
Closed Access | Times Cited: 4
Using explainable deep learning to improve decision quality: Evidence from carbon trading market
Yang Zhao, Jianzhou Wang, Shuai Wang, et al.
Omega (2025), pp. 103281-103281
Closed Access
A hybrid prediction model for marine wind speed considering internal temporal features recombination and external variables association
Haoxian Wen, Sheng Du, Chengda Lu, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 145, pp. 110218-110218
Closed Access
A Wind Speed Prediction Method Based on Signal Decomposition Technology Deep Learning Model
Jie Du, S. C. Chen, Linlin Pan, et al.
Energies (2025) Vol. 18, Iss. 5, pp. 1136-1136
Open Access
Deep learning network for predicting the remaining useful life of lithium-ion batteries using the positive and negative convolution perceptron model
Gwi-Man Bak, Young-Chul Bae
Journal of the Chinese Institute of Engineers (2025), pp. 1-13
Closed Access
Machine learning for time series prediction of valley deformation induced by impoundment for high arch dams
Hang‐Hang Zang, Dianqing Li, Xiaosong Tang, et al.
Bulletin of Engineering Geology and the Environment (2025) Vol. 84, Iss. 4
Closed Access
An Adjustable Robust Optimization Model Under Dynamic Informer-Based Framework for Industrial Renewable Energy Systems
Aoqun Ma, Feifei Shen, Zhi Li, et al.
Process Safety and Environmental Protection (2025), pp. 107062-107062
Closed Access
A Dual Indicator Ranking Method for Complexly Constrained Multi‐Objective Optimization
Qian Zeng, Hai‐Lin Liu
Expert Systems (2025) Vol. 42, Iss. 5
Closed Access
Short-term wind speed prediction method based on prior wind direction knowledge and multi-period decoupling
Zewen Shang, Xuewei Li, Zhiqiang Liu, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 153, pp. 110596-110596
Closed Access
A Multi-Channel Spatiotemporal Segnet Model for Short Term Wind Power Prediction with Sequence Decomposition and Reconstruction
Xingdou Liu, Liang Zou, Li Zhang, et al.
(2025)
Closed Access
Load forecasting model considering dynamic coupling relationships using structured dynamic-inner latent variables and broad learning system
Ziwen Gu, Yatao Shen, Zijian Wang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108180-108180
Closed Access | Times Cited: 3
Chaotic time series wind power interval prediction based on quadratic decomposition and intelligent optimization algorithm
Chunyu Ai, Shan He, Heng Hu, et al.
Chaos Solitons & Fractals (2023) Vol. 177, pp. 114222-114222
Closed Access | Times Cited: 7
Multivariate wind speed forecasting with genetic algorithm-based feature selection and oppositional learning sparrow search
Jinxing Che, Wenxin Xia, Yifan Xu, et al.
Information Sciences (2024) Vol. 695, pp. 121736-121736
Closed Access | Times Cited: 2
Incremental forecaster using C–C algorithm to phase space reconstruction and broad learning network for short-term wind speed prediction
Shiting Hu, Xuefang Xu, Mengdi Li, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 128, pp. 107461-107461
Closed Access | Times Cited: 5
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