Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 hybrid attention-based deep learning approach for wind power prediction
Zhengjing Ma, Gang Mei
Applied Energy (2022) Vol. 323, pp. 119608-119608
Closed Access | Times Cited: 100

Showing 26-50 of 100 citing articles:

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
Time-Series Power Forecasting for Wind and Solar Energy Based on the SL-Transformer
Jian Zhu, Zhiyuan Zhao, Xiaoran Zheng, et al.
Energies (2023) Vol. 16, Iss. 22, pp. 7610-7610
Open Access | Times Cited: 12
The Short-Term Prediction of Wind Power Based on the Convolutional Graph Attention Deep Neural Network
Fan Xiao, Xiong Ping, Y. Li, et al.
Energy Engineering (2024) Vol. 121, Iss. 2, pp. 359-376
Open Access | Times Cited: 4
Probabilistic optimization based adaptive neural network for short-term wind power forecasting with climate uncertainty
Yu Zhou, Ruochen Huang, Qiongbin Lin, et al.
International Journal of Electrical Power & Energy Systems (2024) Vol. 157, pp. 109897-109897
Open Access | Times Cited: 4
Geohash coding-powered deep learning network for vessel trajectory prediction using clustered AIS data in maritime Internet of Things industries
Yan Li, Bi Yu Chen, Qi Liu, et al.
Computers & Electrical Engineering (2024) Vol. 120, pp. 109611-109611
Closed Access | Times Cited: 4
Plantas de fresa regeneradas in vitro mediante organogénesis directa en diferentes concentraciones de auxinas y citocininas
Jesús Hernández-Ruíz, A. Eugenia Rangel-Castillo, María Isabel Laguna Estrada, et al.
Bioagro (2025) Vol. 37, Iss. 1, pp. 123-134
Open Access
Electricity terminal multi-label recognition with a “one-versus-all” rejection recognition algorithm based on adaptive distillation increment learning and attention MobileNetV2 network for non-invasive load monitoring
Linfei Yin, Nannan Wang, Jishen Li
Applied Energy (2025) Vol. 382, pp. 125307-125307
Closed Access
New Energy Power Generation Prediction Based on CNN-LSTM-Attention Model and Risk Detection Analysis of Isolation Forest Algorithm
殿刚 胡
Journal of Image and Signal Processing (2025) Vol. 14, Iss. 01, pp. 45-61
Closed Access
State of Health Estimation of Lithium-Ion Batteries Based on Hybrid Neural Networks with Residual Connections
Xugang Zhang, Ze Wang, Qingshan Gong, et al.
Journal of The Electrochemical Society (2025) Vol. 172, Iss. 2, pp. 020503-020503
Open Access
Energy capture efficiency enhancement for PMVG based-wind turbine systems through yaw control using wind direction prediction
Ameerkhan Abdul Basheer, Jeong Jae Hoon, Seong Ryong Lee, et al.
Electric Power Systems Research (2025) Vol. 243, pp. 111490-111490
Closed Access
Hybrid prediction method for solar photovoltaic power generation using normal cloud parrot optimization algorithm integrated with extreme learning machine
Huachen Liu, Changlong Cai, Pangyue Li, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Prediction of reservoir water levels via an improved attention mechanism based on CNN − LSTM
Haoran Li, Lili Zhang, Yunsheng Yao, et al.
Applied Intelligence (2025) Vol. 55, Iss. 6
Closed Access
Short-Term Wind Power Prediction Method Based on CEEMDAN-VMD-GRU Hybrid Model
Na Fang, Zhengguang Liu, Shengli Fan
Energies (2025) Vol. 18, Iss. 6, pp. 1465-1465
Open Access
Ultra short-term wind power prediction based on an improved temporal convolutional network
Xin Zheng, Weicheng Chi, Hanyuan Zhang, et al.
International Journal of Green Energy (2025), pp. 1-21
Closed Access
Deep multi-view information-powered vessel traffic flow prediction for intelligent transportation management
Huanhuan Li, Yu Zhang, Yan Li, et al.
Transportation Research Part E Logistics and Transportation Review (2025) Vol. 197, pp. 104072-104072
Open Access
Short-term wind power prediction based on multiscale numerical simulation coupled with deep learning
Tian Li, Lei Ai, Qingshan Yang, et al.
Renewable Energy (2025), pp. 122951-122951
Closed Access
Knowledge- and data-driven prediction of blast furnace gas generation and consumption in iron and steel sites
Shuhan Liu, Wenqiang Sun
Applied Energy (2025) Vol. 390, pp. 125819-125819
Closed Access
Prompting large language model for multi-location multi-step zero-shot wind power forecasting
Z. H. Duan, Chong Bian, Shunkun Yang, et al.
Expert Systems with Applications (2025), pp. 127436-127436
Closed Access
Enhanced Wind Energy Forecasting Using an Extended Long Short-Term Memory Model
Zachary Barbre, Gang Li
Algorithms (2025) Vol. 18, Iss. 4, pp. 206-206
Open Access
Improved Integrated Energy Systems Multi-energy Load Deep Learning Joint Prediction Method Based on CEEMDAN
Guangshuo Liu, Ke Li, Yuchen Mu, et al.
Lecture notes in electrical engineering (2025), pp. 1-13
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
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
A survey of long short term memory and its associated models in sustainable wind energy predictive analytics
Sherry Garg, Rajalakshmi Krishnamurthi
Artificial Intelligence Review (2023) Vol. 56, Iss. S1, pp. 1149-1198
Closed Access | Times Cited: 9
Coordinated Decentralized Control of Dynamic Volt-Var Function in Oil and Gas Platform With Wind Power Generation
Lorrana Faria da Rocha, Danilo I. Brandão, Kassiane de S. Medeiros, et al.
IEEE Open Journal of Industry Applications (2023) Vol. 4, pp. 269-278
Open Access | Times Cited: 9
Hybrid Deep Learning Approach for Hydraulic Fracture Morphology Diagnosis in Coalbed Methane Wells
Zhaozhong Yang, Liangjie Gou, Chao Min, et al.
Energy & Fuels (2024) Vol. 38, Iss. 8, pp. 6806-6820
Closed Access | Times Cited: 3

Scroll to top