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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:

Developing a wind power forecasting system based on deep learning with attention mechanism
Chaonan Tian, Tong Niu, Wei Wei
Energy (2022) Vol. 257, pp. 124750-124750
Closed Access | Times Cited: 63

Showing 1-25 of 63 citing articles:

COA-CNN-LSTM: Coati optimization algorithm-based hybrid deep learning model for PV/wind power forecasting in smart grid applications
Mohamad Abou Houran, Syed Muhammad Salman Bukhari, Muhammad Hamza Zafar, et al.
Applied Energy (2023) Vol. 349, pp. 121638-121638
Closed Access | Times Cited: 177
A novel framework for ultra-short-term interval wind power prediction based on RF-WOA-VMD and BiGRU optimized by the attention mechanism
Min Yu, Dongxiao Niu, Tian Gao, et al.
Energy (2023) Vol. 269, pp. 126738-126738
Closed Access | Times Cited: 117
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
Prediction and control of water quality in Recirculating Aquaculture System based on hybrid neural network
Junchao Yang, Lulu Jia, Zhiwei Guo, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 121, pp. 106002-106002
Closed Access | Times Cited: 47
Real-time pipeline leak detection and localization using an attention-based LSTM approach
Xinqi Zhang, Jihao Shi, Ming Yang, et al.
Process Safety and Environmental Protection (2023) Vol. 174, pp. 460-472
Open Access | Times Cited: 41
Optimizing multi-step wind power forecasting: Integrating advanced deep neural networks with stacking-based probabilistic learning
Lucas de Azevedo Takara, Ana Clara Teixeira, Hamed Yazdanpanah, et al.
Applied Energy (2024) Vol. 369, pp. 123487-123487
Closed Access | Times Cited: 17
Spatiotemporal analysis of bidimensional wind speed forecasting: Development and thorough assessment of LSTM and ensemble graph neural networks on the Dutch database
Victor Oliveira Santos, Paulo Alexandre Costa Rocha, John Scott, et al.
Energy (2023) Vol. 278, pp. 127852-127852
Closed Access | Times Cited: 32
Spatiotemporal Air Pollution Forecasting in Houston-TX: A Case Study for Ozone Using Deep Graph Neural Networks
Victor Oliveira Santos, Paulo Alexandre Costa Rocha, John Scott, et al.
Atmosphere (2023) Vol. 14, Iss. 2, pp. 308-308
Open Access | Times Cited: 31
An improved Wavenet network for multi-step-ahead wind energy forecasting
Yun Wang, Tuo Chen, Shengchao Zhou, et al.
Energy Conversion and Management (2023) Vol. 278, pp. 116709-116709
Closed Access | Times Cited: 26
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
Wind Power Forecasting in the presence of data scarcity: A very short-term conditional probabilistic modeling framework
Sen Wang, Wenjie Zhang, Yonghui Sun, et al.
Energy (2024) Vol. 291, pp. 130305-130305
Closed Access | Times Cited: 12
Novel wind power ensemble forecasting system based on mixed-frequency modeling and interpretable base model selection strategy
Xiaodi Wang, Hao Yan, Wendong Yang
Energy (2024) Vol. 297, pp. 131142-131142
Closed Access | Times Cited: 11
Spatial correlation learning based on graph neural network for medium-term wind power forecasting
Beizhen Zhao, Xin He, Shaolin Ran, et al.
Energy (2024) Vol. 296, pp. 131164-131164
Closed Access | Times Cited: 9
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: 9
A STAM-LSTM model for wind power prediction with feature selection
Wangbin Cao, Guangxing Wang, Xiaolin Liang, et al.
Energy (2024) Vol. 296, pp. 131030-131030
Closed Access | Times Cited: 7
Wind Energy Harvesting and Conversion Systems: A Technical Review
Sinhara M. H. D. Perera, Ghanim Putrus, Michael Conlon, et al.
Energies (2022) Vol. 15, Iss. 24, pp. 9299-9299
Open Access | Times Cited: 28
VMD-CAT: A hybrid model for short-term wind power prediction
Huan Zheng, Zhenda Hu, Xuguang Wang, et al.
Energy Reports (2023) Vol. 9, pp. 199-211
Open Access | Times Cited: 20
Prediction of blast furnace gas generation based on data quality improvement strategy
Shuhan Liu, Wenqiang Sun, Weidong Li, et al.
Journal of Iron and Steel Research International (2023) Vol. 30, Iss. 5, pp. 864-874
Closed Access | Times Cited: 20
Fast flow field prediction of hydrofoils based on deep learning
Changming Li, Peng Yuan, Yonghui Liu, et al.
Ocean Engineering (2023) Vol. 281, pp. 114743-114743
Closed Access | Times Cited: 19
SA–EMD–LSTM: A novel hybrid method for long-term prediction of classroom PM2.5 concentration
Erbiao Yuan, Guangfei Yang
Expert Systems with Applications (2023) Vol. 230, pp. 120670-120670
Closed Access | Times Cited: 19
Filling time-series gaps using image techniques: Multidimensional context autoencoder approach for building energy data imputation
Chun Fu, Matías Quintana, Zoltán Nagy, et al.
Applied Thermal Engineering (2023) Vol. 236, pp. 121545-121545
Open Access | Times Cited: 17
Temporal collaborative attention for wind power forecasting
Yue Hu, Hanjing Liu, Senzhen Wu, et al.
Applied Energy (2023) Vol. 357, pp. 122502-122502
Open Access | Times Cited: 17
BiGTA-Net: A Hybrid Deep Learning-Based Electrical Energy Forecasting Model for Building Energy Management Systems
Dayeong So, Jinyeong Oh, Insu Jeon, et al.
Systems (2023) Vol. 11, Iss. 9, pp. 456-456
Open Access | Times Cited: 16
Research on the short-term wind power prediction with dual branch multi-source fusion strategy
Ling Tan, Yihe Chen, Jingming Xia, et al.
Energy (2024) Vol. 291, pp. 130402-130402
Closed Access | Times Cited: 6
Electrical Output Stabilization of Nanofluid Spectral Splitting Photovoltaic/Thermal System by Regulating Parameters Based on Machine Learning Algorithms
Zhengwei Wang, Huawei Liu, Jia Lu, et al.
(2025)
Closed Access
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