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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:

Short-term Wind Power Forecasting Using the Hybrid Model of Improved Variational Mode Decomposition and Maximum Mixture Correntropy Long Short-term Memory Neural Network
Wenchao Lu, Jiandong Duan, Peng Wang, et al.
International Journal of Electrical Power & Energy Systems (2022) Vol. 144, pp. 108552-108552
Closed Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Short-term wind power prediction based on two-layer decomposition and BiTCN-BiLSTM-attention model
Dongdong Zhang, Baian Chen, Hongyu Zhu, et al.
Energy (2023) Vol. 285, pp. 128762-128762
Closed Access | Times Cited: 69
An enhanced monthly runoff time series prediction using extreme learning machine optimized by salp swarm algorithm based on time varying filtering based empirical mode decomposition
Wenchuan Wang, Qi Cheng, Kwok‐wing Chau, et al.
Journal of Hydrology (2023) Vol. 620, pp. 129460-129460
Closed Access | Times Cited: 42
A floating offshore platform motion forecasting approach based on EEMD hybrid ConvLSTM and chaotic quantum ALO
Da Li, Meirong Jiang, Mingwei Li, et al.
Applied Soft Computing (2023) Vol. 144, pp. 110487-110487
Closed Access | Times Cited: 42
A survey of artificial intelligence methods for renewable energy forecasting: Methodologies and insights
Blessing Olatunde Abisoye, Yanxia Sun, Zenghui Wang
Renewable energy focus (2023) Vol. 48, pp. 100529-100529
Open Access | Times Cited: 26
A short-term wind power prediction approach based on an improved dung beetle optimizer algorithm, variational modal decomposition, and deep learning
Yan He, Wei Wang, Meng Li, et al.
Computers & Electrical Engineering (2024) Vol. 116, pp. 109182-109182
Closed Access | Times Cited: 11
Online monitoring model of micro-milling force incorporating tool wear prediction process
Pengfei Ding, Xianzhen Huang, Chengying Zhao, et al.
Expert Systems with Applications (2023) Vol. 223, pp. 119886-119886
Closed Access | Times Cited: 19
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
Stacking integrated learning model via ELM and GRU with mixture correntropy loss for robust state of health estimation of lithium-ion batteries
Jingsong Xue, Wentao Ma, Xiaoyang Feng, et al.
Energy (2023) Vol. 284, pp. 129279-129279
Closed Access | Times Cited: 15
An augmented classification for reducing effluent from hydrocarbon and NOx levels using support vector machine over ensemble decision tree
Azmira Krishna, S. Pradeep Kumar
AIP conference proceedings (2025) Vol. 3252, pp. 020200-020200
Closed Access
Multi-step ahead wind power forecasting based on multi-feature wavelet decomposition and convolution-gated recurrent unit model
S.N. Shringi, Lalit Mohan Saini, S. K. Aggarwal
Electrical Engineering (2025)
Closed Access
Probability Density Forecasting of Wind Power Based on Transformer Network with Expectile Regression and Kernel Density Estimation
Haoyi Xiao, Xiaoxia He, Chunli Li
Electronics (2023) Vol. 12, Iss. 5, pp. 1187-1187
Open Access | Times Cited: 14
DeepVELOX: INVELOX Wind Turbine Intelligent Power Forecasting Using Hybrid GWO–GBR Algorithm
Ashkan Safari, Hamed Kheirandish Gharehbagh, Morteza Nazari‐Heris
Energies (2023) Vol. 16, Iss. 19, pp. 6889-6889
Open Access | Times Cited: 14
A privacy-preserving framework integrating federated learning and transfer learning for wind power forecasting
Yugui Tang, Shujing Zhang, Zhen Zhang
Energy (2023) Vol. 286, pp. 129639-129639
Closed Access | Times Cited: 13
Application of Neural Networks on Carbon Emission Prediction: A Systematic Review and Comparison
Wentao Feng, Tailong Chen, Longsheng Li, et al.
Energies (2024) Vol. 17, Iss. 7, pp. 1628-1628
Open Access | Times Cited: 2
Short-term prediction of wind power using an improved kernel based optimized deep belief network
Snigdha Sarangi, P.K. Dash, Ranjeeta Bisoi
Energy Conversion and Management (2024) Vol. 316, pp. 118821-118821
Closed Access | Times Cited: 2
Application of four machine-learning methods to predict short-horizon wind energy
Doha Bouabdallaoui, Touria Haidi, Faissal Elmariami, et al.
Global Energy Interconnection (2023) Vol. 6, Iss. 6, pp. 726-737
Open Access | Times Cited: 7
Robust transformer-based anomaly detection for nuclear power data using maximum correntropy criterion
Shuang Yi, Sheng Zheng, Senquan Yang, et al.
Nuclear Engineering and Technology (2023) Vol. 56, Iss. 4, pp. 1284-1295
Open Access | Times Cited: 6
Sustainable optimization of micro-milling machining parameters considering reliability assessment
Pengfei Ding, Xianzhen Huang
Mechanics Based Design of Structures and Machines (2024), pp. 1-38
Closed Access | Times Cited: 1
Multi-step prediction of offshore wind power based on Transformer network and Huber loss
Haoyi Xiao, Xiaoxia He, Chunli Li
International Journal of Electrical Power & Energy Systems (2024) Vol. 162, pp. 110229-110229
Open Access | Times Cited: 1
Forecasting wind power based on an improved al-Biruni Earth radius metaheuristic optimization algorithm
Mohammed A. Saeed, Abdelhameed Ibrahim‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, El-Sayed M. El-kenawy, et al.
Frontiers in Energy Research (2023) Vol. 11
Open Access | Times Cited: 4
Short-Term Multi-Step Wind Direction Prediction Based on OVMD Quadratic Decomposition and LSTM
Banteng Liu, Yangqing Xie, Ke Wang, et al.
Sustainability (2023) Vol. 15, Iss. 15, pp. 11746-11746
Open Access | Times Cited: 4
Robust autoregressive bidirectional gated recurrent units model for short-term power forecasting
Yang Yang, Zijin Wang, Shangrui Zhao, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109453-109453
Open Access | Times Cited: 1
Wind turbine output power prediction by a segmented multivariate polynomial-XGBoost model
Jingwei Wang, Wangqiang Niu, Yanhua Yang
Energy Sources Part A Recovery Utilization and Environmental Effects (2023) Vol. 46, Iss. 1, pp. 505-521
Closed Access | Times Cited: 3
Fault line selection algorithm for distribution networks based on AdapGL‐GIN network
Tong Lu, S. Hou, Yan Xu
IET Generation Transmission & Distribution (2023) Vol. 17, Iss. 21, pp. 4858-4874
Open Access | Times Cited: 2
Accurate identification and confidence evaluation of automatic generation control command execution effect based on deep learning fusion model
Guangyu Chen, Hongtong Liu, Haiyang Jiang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 131, pp. 107819-107819
Closed Access
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