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 convolutional Transformer-based truncated Gaussian density network with data denoising for wind speed forecasting
Yun Wang, Houhua Xu, Mengmeng Song, et al.
Applied Energy (2023) Vol. 333, pp. 120601-120601
Closed Access | Times Cited: 62

Showing 26-50 of 62 citing articles:

A novel domain adaptation method with physical constraints for shale gas production forecasting
Liangjie Gou, Zhaozhong Yang, Chao Min, et al.
Applied Energy (2024) Vol. 371, pp. 123673-123673
Closed Access | Times Cited: 4
Recurrent attention encoder-decoder network for multi-step interval wind power prediction
Xiaoling Ye, Cheng‐Cheng Liu, Xiong Xiong, et al.
Energy (2025), pp. 134317-134317
Closed Access
Multi-step LSTM Prediction Model for Offshore Wind Power Based on VMD of RIME Algorithm Combined with Attention Mechanisms
Yangzhou Du, Hongsheng Su, Yulong Che, et al.
Lecture notes in electrical engineering (2025), pp. 462-469
Closed Access
A multi-factor clustering integration paradigm for wind speed point-interval prediction based on feature selection and optimized inverted transformer
Jujie Wang, Weiyi Jiang, Shuqin Shu, et al.
Energy (2025), pp. 135210-135210
Closed Access
Short-term wind speed forecasting based on a hybrid model of ICEEMDAN, MFE, LSTM and informer
Xinxin Wang, Shen Xiaopan, AI Xue-yi, et al.
PLoS ONE (2023) Vol. 18, Iss. 9, pp. e0289161-e0289161
Open Access | Times Cited: 11
Bayesian averaging-enabled transfer learning method for probabilistic wind power forecasting of newly built wind farms
Jiaxiang Hu, Weihao Hu, Di Cao, et al.
Applied Energy (2023) Vol. 355, pp. 122185-122185
Closed Access | Times Cited: 11
Intelligent modeling of combined heat and power unit under full operating conditions via improved crossformer and precise sparrow search algorithm
Guolian Hou, Lingling Ye, Ting Huang, et al.
Energy (2024) Vol. 308, pp. 132879-132879
Closed Access | Times Cited: 3
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
Short-term probabilistic load forecasting method based on uncertainty estimation and deep learning model considering meteorological factors
Bin Li, Y. J. Mo, Feng Gao, et al.
Electric Power Systems Research (2023) Vol. 225, pp. 109804-109804
Closed Access | Times Cited: 10
Very short-term wind power forecasting considering static data: An improved transformer model
Sen Wang, Yonghui Sun, Wenjie Zhang, et al.
Energy (2024), pp. 133577-133577
Closed Access | Times Cited: 3
Prediction of wind fields in mountains at multiple elevations using deep learning models
Huanxiang Gao, Gang Hu, Dongqin Zhang, et al.
Applied Energy (2023) Vol. 353, pp. 122099-122099
Closed Access | Times Cited: 7
Wear fault diagnosis in hydro-turbine via the incorporation of the IWSO algorithm optimized CNN-LSTM neural network
Fang Dao, Yun Zeng, Yidong Zou, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 2
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: 2
A Bayesian Deep Learning-based Wind Power Prediction Model Considering the Whole Process of Blade Icing and De-icing
Xiaoming Liu, Jun Liu, Jiacheng Liu, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 7, pp. 9141-9151
Closed Access | Times Cited: 2
A novel ensemble electricity load forecasting system based on a decomposition-selection-optimization strategy
Ying Wang, Hongmin Li, Atif Jahanger, et al.
Energy (2024) Vol. 312, pp. 133524-133524
Closed Access | Times Cited: 2
Fault Voiceprint Signal Diagnosis Method of Power Transformer Based on Mixup Data Enhancement
Shuting Wan, Fan Dong, Xiong Zhang, et al.
Sensors (2023) Vol. 23, Iss. 6, pp. 3341-3341
Open Access | Times Cited: 5
Wind Turbine Hybrid Physics-Based Deep Learning Model for a Health Monitoring Approach Considering Provision of Ancillary Services
Nezmin Kayedpour, Jixiang Qing, Jolan Wauters, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-14
Open Access | Times Cited: 1
A truncated Gaussian distribution based multi-scale segment-wise fusion transformer model for multi-step commodity price forecasting
Xin Peng, Zhengxiang Chen, Jiale Zhang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108434-108434
Closed Access | Times Cited: 1
Wind-Speed Multi-Step Forecasting Based on Variational Mode Decomposition, Temporal Convolutional Network, and Transformer Model
Shengcai Zhang, Changsheng Zhu, Xiuting Guo
Energies (2024) Vol. 17, Iss. 9, pp. 1996-1996
Open Access | Times Cited: 1
Short-term prediction of water level based on deep learning in the downstream area of the Three Gorges Reservoir
Xianghu Mao, Biao Xiong, Xin Luo, et al.
Natural Hazards (2024)
Closed Access | Times Cited: 1
Hybrid Photovoltaic Output Forecasting Model with Temporal Convolutional Network Using Maximal Information Coefficient and White Shark Optimizer
Xilong Lin, Yisen Niu, Zixuan Yan, et al.
Sustainability (2024) Vol. 16, Iss. 14, pp. 6102-6102
Open Access | Times Cited: 1
Wear fault diagnosis in hydro-turbine via the incorporation of the IWSO algorithm optimized CNN-LSTM neural network
Fang Dao, Yun Zeng, Yidong Zou, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Developing an interpretable wind power forecasting system using a transformer network and transfer learning
Chaonan Tian, Tong Niu, Tao Li
Energy Conversion and Management (2024) Vol. 323, pp. 119155-119155
Closed Access | Times Cited: 1
A Non-stationary Transformer model for power forecasting with dynamic data distillation and wake effect correction suitable for large wind farms
Guopeng Zhu, Weiqing Jia, Lifeng Cheng, et al.
Energy Conversion and Management (2024) Vol. 324, pp. 119292-119292
Closed Access | Times Cited: 1
A Novel Hybrid Deep Learning Model for Forecasting Ultra-Short-Term Time Series Wind Speeds for Wind Turbines
Jianzan Yang, Pang Feng, Huawei Xiang, et al.
Processes (2023) Vol. 11, Iss. 11, pp. 3247-3247
Open Access | Times Cited: 3

Scroll to top