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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 novel approach to ultra-short-term wind power prediction based on feature engineering and informer
Wei Hui, Wensheng Wang, Xiaoxuan Kao
Energy Reports (2022) Vol. 9, pp. 1236-1250
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

A novel DWTimesNet-based short-term multi-step wind power forecasting model using feature selection and auto-tuning methods
Chu Zhang, Yuhan Wang, Yongyan Fu, et al.
Energy Conversion and Management (2024) Vol. 301, pp. 118045-118045
Closed Access | Times Cited: 20
A Review of Modern Wind Power Generation Forecasting Technologies
Wen-Chang Tsai, Chih-Ming Hong, Chia‐Sheng Tu, et al.
Sustainability (2023) Vol. 15, Iss. 14, pp. 10757-10757
Open Access | Times Cited: 23
Minutely multi-step irradiance forecasting based on all-sky images using LSTM-InformerStack hybrid model with dual feature enhancement
Shaozhen Xu, Jun Liu, Xiaoqiao Huang, et al.
Renewable Energy (2024) Vol. 224, pp. 120135-120135
Closed Access | Times Cited: 8
Hybrid LSTM-Based Fractional-Order Neural Network for Jeju Island’s Wind Farm Power Forecasting
Bhukya Ramadevi, Venkata Ramana Kasi, Kishore Bingi
Fractal and Fractional (2024) Vol. 8, Iss. 3, pp. 149-149
Open Access | Times Cited: 8
A hybrid methodology using VMD and disentangled features for wind speed forecasting
Srihari Parri, Kiran Teeparthi, Vishalteja Kosana
Energy (2023) Vol. 288, pp. 129824-129824
Closed Access | Times Cited: 20
An intelligent hybrid approach for photovoltaic power forecasting using enhanced chaos game optimization algorithm and Locality sensitive hashing based Informer model
Peng Tian, Yongyan Fu, Yuhan Wang, et al.
Journal of Building Engineering (2023) Vol. 78, pp. 107635-107635
Closed Access | Times Cited: 18
A unified deep learning framework for water quality prediction based on time-frequency feature extraction and data feature enhancement
Rui Xu, Shengri Hu, Hang Wan, et al.
Journal of Environmental Management (2023) Vol. 351, pp. 119894-119894
Closed Access | Times Cited: 17
NSGA-II based short-term building energy management using optimal LSTM-MLP forecasts
Moisés Cordeiro-Costas, Hugo Labandeira-Pérez, Daniel Villanueva, et al.
International Journal of Electrical Power & Energy Systems (2024) Vol. 159, pp. 110070-110070
Open Access | Times Cited: 5
A novel multi-step ahead solar power prediction scheme by deep learning on transformer structure
Fan Mo, Xuan Jiao, Xingshuo Li, et al.
Renewable Energy (2024) Vol. 230, pp. 120780-120780
Closed Access | Times Cited: 5
A novel ultra-short-term wind power forecasting method based on TCN and Informer models
Qi Li, Xiaoying Ren, Fei Zhang, et al.
Computers & Electrical Engineering (2024) Vol. 120, pp. 109632-109632
Closed Access | Times Cited: 5
AI-enhanced cancer radiotherapy quality assessment: utilizing daily linac performance, radiomics, dosimetrics, and planning complexity
Jia Deng, Yaolin Zhao, Dorothy Jane Huang, et al.
Frontiers in Oncology (2025) Vol. 15
Open Access
AI-Assisted Hybrid Approach for Energy Management in IoT-Based Smart Microgrid
Noman Khan, Samee U. Khan, Fath U Min Ullah, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 21, pp. 18861-18875
Closed Access | Times Cited: 14
Transformer Fault Diagnosis Method Based on TimesNet and Informer
Xin Zhang, Kaiyue Yang, Liaomo Zheng
Actuators (2024) Vol. 13, Iss. 2, pp. 74-74
Open Access | Times Cited: 4
An adaptive variational mode decomposition for wind power prediction using convolutional block attention deep learning network
Anbo Meng, Zhifeng Xie, Jianqiang Luo, et al.
Energy (2023) Vol. 282, pp. 128945-128945
Closed Access | Times Cited: 11
Recent advances in data-driven prediction for wind power
Yaxin Liu, Yunjing Wang, Qingtian Wang, et al.
Frontiers in Energy Research (2023) Vol. 11
Open Access | Times Cited: 10
Solar irradiance prediction with variable time lengths and multi-parameters in full climate conditions based on photovoltaic greenhouse
Yinlong Zhu, Ming Li, Xun Ma, et al.
Energy Conversion and Management (2024) Vol. 315, pp. 118758-118758
Closed Access | Times Cited: 3
Improving ultra-short-term photovoltaic power forecasting using advanced deep-learning approach
Zhongyuan Su, Shengyan Gu, Jun Wang, et al.
Measurement (2024) Vol. 239, pp. 115405-115405
Closed Access | Times Cited: 3
Wind power forecasting using a GRU attention model for efficient energy management systems
Lakhdar Nadjib Boucetta, Youssouf Amrane, Saliha Arezki
Electrical Engineering (2024)
Closed Access | Times Cited: 3
Informer learning framework based on secondary decomposition for multi-step forecast of ultra-short term wind speed
Zihao Jin, Xiaomengting Fu, Ling Xiang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109702-109702
Closed Access | Times Cited: 3
A Novel Coupled Optimization Prediction Model for Air Quality
Q. Shao, Jiahao Chen, Tao Jiang
IEEE Access (2023) Vol. 11, pp. 69667-69685
Open Access | Times Cited: 9
Wind resource assessment and potential development of wind farms along the entire coast of South Korea using public data from the Korea meteorological administration
Sangkyun Kang, Sina Hadadi, Sung‐Ho Yu, et al.
Journal of Cleaner Production (2023) Vol. 430, pp. 139378-139378
Open Access | Times Cited: 5
Growing Importance of Micro-Meteorology in the New Power System: Review, Analysis and Case Study
Huijun Zhang, Mingjie Zhang, Ran Yi, et al.
Energies (2024) Vol. 17, Iss. 6, pp. 1365-1365
Open Access | Times Cited: 1
Cost and capacity optimization of regional wind-hydrogen integrated energy system
Xinghua Liu, Yübo Wang, Zhongbao Wei, et al.
International Journal of Hydrogen Energy (2023) Vol. 49, pp. 571-585
Closed Access | Times Cited: 4
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: 4
Industrial units modeling using self-attention network based on feature selection and pattern classification
LuYao Wang, Jian Long, Xiangyang Li, et al.
Process Safety and Environmental Protection (2023) Vol. 200, pp. 176-185
Closed Access | Times Cited: 3
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