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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:

A novel combined forecasting model based on neural networks, deep learning approaches, and multi-objective optimization for short-term wind speed forecasting
Jianzhou Wang, Yining An, Zhiwu Li, et al.
Energy (2022) Vol. 251, pp. 123960-123960
Closed Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

Multivariate wind speed forecasting based on multi-objective feature selection approach and hybrid deep learning model
Sheng-Xiang Lv, Lin Wang
Energy (2022) Vol. 263, pp. 126100-126100
Closed Access | Times Cited: 80
A novel ensemble system for short-term wind speed forecasting based on hybrid decomposition approach and artificial intelligence models optimized by self-attention mechanism
Junheng Pang, Sheng Dong
Energy Conversion and Management (2024) Vol. 307, pp. 118343-118343
Closed Access | Times Cited: 22
A novel wind power forecasting system integrating time series refining, nonlinear multi-objective optimized deep learning and linear error correction
Jianzhou Wang, Yuansheng Qian, Linyue Zhang, et al.
Energy Conversion and Management (2023) Vol. 299, pp. 117818-117818
Closed Access | Times Cited: 38
A novel wind speed forecasting combined model using variational mode decomposition, sparse auto-encoder and optimized fuzzy cognitive mapping network
Yahui Hu, Yingshi Guo, Rui Fu
Energy (2023) Vol. 278, pp. 127926-127926
Closed Access | Times Cited: 22
A hybrid model with combined feature selection based on optimized VMD and improved multi-objective coati optimization algorithm for short-term wind power prediction
Chao Wang, Lin Hon, Heng Hu, et al.
Energy (2024) Vol. 293, pp. 130684-130684
Closed Access | Times Cited: 13
Wind speed prediction and reconstruction based on improved grey wolf optimization algorithm and deep learning networks
Anfeng Zhu, Qiancheng Zhao, Tianlong Yang, et al.
Computers & Electrical Engineering (2024) Vol. 114, pp. 109074-109074
Closed Access | Times Cited: 11
A robust chaos-inspired artificial intelligence model for dealing with nonlinear dynamics in wind speed forecasting
Caner Barış, Cağfer Yanarateş, Aytaç Altan
PeerJ Computer Science (2024) Vol. 10, pp. e2393-e2393
Open Access | Times Cited: 10
The influence of international oil prices on the exchange rates of oil exporting countries: Based on the hybrid copula function
Jianzhou Wang, Xinsong Niu, Lifang Zhang, et al.
Resources Policy (2022) Vol. 77, pp. 102734-102734
Closed Access | Times Cited: 32
Ultra-short-term probabilistic wind power forecasting with spatial-temporal multi-scale features and K-FSDW based weight
Jinxing Che, Fang Yuan, Dewen Deng, et al.
Applied Energy (2022) Vol. 331, pp. 120479-120479
Closed Access | Times Cited: 28
A novel hybrid wind speed prediction framework based on multi-strategy improved optimizer and new data pre-processing system with feedback mechanism
Zhirui Tian, Gai Mei
Energy (2023) Vol. 281, pp. 128225-128225
Closed Access | Times Cited: 14
Ultra-short-term wind farm cluster interval power prediction based on cluster division and MQ-WaveNet-MSA
Chao Wang, Lin Hon, Ming Yang, et al.
Electric Power Systems Research (2025) Vol. 244, pp. 111557-111557
Closed Access
A Hybrid Neural Network Model for Short-Term Wind Speed Forecasting
Sheng-Xiang Lv, Lin Wang, Sirui Wang
Energies (2023) Vol. 16, Iss. 4, pp. 1841-1841
Open Access | Times Cited: 11
A novel chaotic time series wind power point and interval prediction method based on data denoising strategy and improved coati optimization algorithm
Chao Wang, Lin Hon, Ming Yang, et al.
Chaos Solitons & Fractals (2024) Vol. 187, pp. 115442-115442
Closed Access | Times Cited: 3
A dynamic ensemble deep deterministic policy gradient recursive network for spatiotemporal traffic speed forecasting in an urban road network
Xiwei Mi, Chengqing Yu, Xinwei Liu, et al.
Digital Signal Processing (2022) Vol. 129, pp. 103643-103643
Closed Access | Times Cited: 16
Online public opinion prediction based on a novel seasonal grey decomposition and ensemble model
Qi Su, Shuli Yan, Lifeng Wu, et al.
Expert Systems with Applications (2022) Vol. 210, pp. 118341-118341
Closed Access | Times Cited: 16
Hybrid forecasting system considering the influence of seasonal factors under energy sustainable development goals
Guomin Li, Zhiya Pan, Zihan Qi, et al.
Measurement (2023) Vol. 211, pp. 112607-112607
Closed Access | Times Cited: 10
An intelligent planning method to optimize high-density residential layouts considering the influence of wind environments
Xiaoyu Ying, Xiaoying Qin, Liying Shen, et al.
Heliyon (2023) Vol. 9, Iss. 1, pp. e13051-e13051
Open Access | Times Cited: 9
Optimization of physicochemical parameters for lipopeptides surfactin production by Bacillus halotolerans under oat straw medium using Box-Behnken design and artificial neural networks
Mehdi Mansour, Mounira Kara Ali, Mohammed Berkani, et al.
Sustainable Chemistry and Pharmacy (2024) Vol. 37, pp. 101419-101419
Closed Access | Times Cited: 3
A combined prediction system for PM2.5 concentration integrating spatio-temporal correlation extracting, multi-objective optimization weighting and non-parametric estimation
Jianzhou Wang, Yuansheng Qian, Yuyang Gao, et al.
Atmospheric Pollution Research (2023) Vol. 14, Iss. 10, pp. 101880-101880
Closed Access | Times Cited: 8
A multi-variable hybrid system for port container throughput deterministic and uncertain forecasting
Jianzhou Wang, Yuanyuan Shao, He Jiang, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121546-121546
Closed Access | Times Cited: 7
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
A combined model based on decomposition and reorganization, weight optimization algorithms for carbon price point and interval prediction
Xiaobing Yu, Nijun Jiang, Wen Zhang
Journal of Cleaner Production (2024) Vol. 472, pp. 143445-143445
Closed Access | Times Cited: 2
A novel RF-CEEMD-LSTM model for predicting water pollution
Jinlou Ruan, Yang Cui, Yuchen Song, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 6
Research of a combination system based on fuzzy sets and multi-objective marine predator algorithm for point and interval prediction of wind speed
Yuansheng Qian, Jianzhou Wang, Haipeng Zhang, et al.
Environmental Science and Pollution Research (2022) Vol. 30, Iss. 13, pp. 35781-35807
Closed Access | Times Cited: 10
Ensemble water quality forecasting based on decomposition, sub-model selection, and adaptive interval
Tianxiang Liu, Wen Liu, Zihan Liu, et al.
Environmental Research (2023) Vol. 237, pp. 116938-116938
Closed Access | Times Cited: 5
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