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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:

A regional pretraining-classification-selection forecasting system for wind power point forecasting and interval forecasting
Jianzhou Wang, Lifang Zhang, Chen Wang, et al.
Applied Soft Computing (2021) Vol. 113, pp. 107941-107941
Closed Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

A novel ensemble probabilistic forecasting system for uncertainty in wind speed
Jianzhou Wang, Shuai Wang, Bo Zeng, et al.
Applied Energy (2022) Vol. 313, pp. 118796-118796
Closed Access | Times Cited: 81
Elman neural network considering dynamic time delay estimation for short-term forecasting of offshore wind power
Jing Huang, Rui Qin
Applied Energy (2024) Vol. 358, pp. 122671-122671
Closed Access | Times Cited: 19
Overcoming the uncertainty and volatility of wind power: Day-ahead scheduling of hydro-wind hybrid power generation system by coordinating power regulation and frequency response flexibility
Shuo Han, Mengjiao He, Ziwen Zhao, et al.
Applied Energy (2022) Vol. 333, pp. 120555-120555
Closed Access | Times Cited: 59
Review on Deep Learning Research and Applications in Wind and Wave Energy
Chengcheng Gu, Hua Li
Energies (2022) Vol. 15, Iss. 4, pp. 1510-1510
Open Access | Times Cited: 50
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: 44
Prediction of Air Pollution Interval Based on Data Preprocessing and Multi-Objective Dragonfly Optimization Algorithm
Jiyang Wang, Jingrui Li, Zhiwu Li
Frontiers in Ecology and Evolution (2022) Vol. 10
Open Access | Times Cited: 41
Combined forecasting tool for renewable energy management in sustainable supply chains
Yuhuan Sun, Jiao Ding, Zhenkun Liu, et al.
Computers & Industrial Engineering (2023) Vol. 179, pp. 109237-109237
Closed Access | Times Cited: 37
Short-term wind power prediction based on modal reconstruction and CNN-BiLSTM
Zheng Li, Ruosi Xu, Xiaorui Luo, et al.
Energy Reports (2023) Vol. 9, pp. 6449-6460
Open Access | Times Cited: 25
Hybrid ultra-short-term PV power forecasting system for deterministic forecasting and uncertainty analysis
Jianzhou Wang, Yue Yu, Bo Zeng, et al.
Energy (2023) Vol. 288, pp. 129898-129898
Closed Access | Times Cited: 24
A novel wind power deterministic and interval prediction framework based on the critic weight method, improved northern goshawk optimization, and kernel density estimation
Guolian Hou, Junjie Wang, Yuzhen Fan, et al.
Renewable Energy (2024) Vol. 226, pp. 120360-120360
Closed Access | Times Cited: 14
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: 17
A novel BiGRU multi-step wind power forecasting approach based on multi-label integration random forest feature selection and neural network clustering
Zheyong Jiang, Qingmei Tan, Nan Li, et al.
Energy Conversion and Management (2024) Vol. 319, pp. 118904-118904
Closed Access | Times Cited: 8
An effective hybrid wind power forecasting model based on "decomposition-reconstruction-ensemble" strategy and wind resource matching
Yi Xiao, Sheng Wu, Chen He, et al.
Sustainable Energy Grids and Networks (2024) Vol. 38, pp. 101293-101293
Closed Access | Times Cited: 6
Novel deterministic and probabilistic combined system based on deep learning and self-improved optimization algorithm for wind speed forecasting
Mengzheng Lv, Jing Li, Xinsong Niu, et al.
Sustainable Energy Technologies and Assessments (2022) Vol. 52, pp. 102186-102186
Closed Access | Times Cited: 24
Real-time Error Compensation Transfer Learning with Echo State Networks for Enhanced Wind Power Prediction
Yingqin Zhu, Yue Liu, Nan Wang, et al.
Applied Energy (2024) Vol. 379, pp. 124893-124893
Open Access | Times Cited: 5
Integrating signal pairing evaluation metrics with deep learning for wind power forecasting through coupled multiple modal decomposition and aggregation
Yunbing Liu, Jie Dai, Guici Chen, et al.
Knowledge-Based Systems (2025), pp. 113394-113394
Closed Access
A novel combined forecasting system based on advanced optimization algorithm - A study on optimal interval prediction of wind speed
Jingrui Li, Jiyang Wang, Zhiwu Li
Energy (2022) Vol. 264, pp. 126179-126179
Closed Access | Times Cited: 18
Improving wind speed forecasting at Adama wind farm II in Ethiopia through deep learning algorithms
Mesfin Diro Chaka, Addisu Gezahegn Semie, Yedilfana Setarge Mekonnen, et al.
Case Studies in Chemical and Environmental Engineering (2023) Vol. 9, pp. 100594-100594
Open Access | Times Cited: 10
A comprehensive wind power prediction system based on correct multiscale clustering ensemble, similarity matching, and improved whale optimization algorithm–A case study in China
Chunsheng Yu
Renewable Energy (2025), pp. 122529-122529
Closed Access
A Novel Hybrid Deep Learning Model for Day-Ahead Wind Power Interval Forecasting
Jianjing Mao, Jian Zhao, H. Zhang, et al.
Sustainability (2025) Vol. 17, Iss. 7, pp. 3239-3239
Open Access
Machine Learning-based Time Series Modelling for Large-Scale Regional Wind Power Forecasting: a Case Study in Ontario, Canada
Hanin Alkabbani, Farzad Hourfar, Ali Ahmadian, et al.
Cleaner Energy Systems (2023) Vol. 5, pp. 100068-100068
Open Access | Times Cited: 9
GAN-Based Abrupt Weather Data Augmentation for Wind Turbine Power Day-Ahead Predictions
Renfeng Liu, Yinbo Song, Yuan Chen, et al.
Energies (2023) Vol. 16, Iss. 21, pp. 7250-7250
Open Access | Times Cited: 8
A non-ferrous metal price ensemble prediction system based on innovative combined kernel extreme learning machine and chaos theory
Honggang Guo, Jianzhou Wang, Zhiwu Li, et al.
Resources Policy (2022) Vol. 79, pp. 102975-102975
Closed Access | Times Cited: 13
A combined model based on secondary decomposition technique and grey wolf optimizer for short-term wind power forecasting
Zhongde Su, Bowen Zheng, Huacai Lu
Frontiers in Energy Research (2023) Vol. 11
Open Access | Times Cited: 7
A Review on Wind Power Forecasting Regarding Impacts on the System Operation, Technical Challenges, and Applications
Tolga Depçi, Mustafa İncı, Murat Mustafa Savrun, et al.
Energy Technology (2022) Vol. 10, Iss. 8
Closed Access | Times Cited: 6
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