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 multi-step wind power forecasting based on spatio-temporal correlations and transformer neural networks
Shilin Sun, Yuekai Liu, Qi Li, et al.
Energy Conversion and Management (2023) Vol. 283, pp. 116916-116916
Closed Access | Times Cited: 95

Showing 26-50 of 95 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: 12

Interpretable Wind Power Short-Term Power Prediction Model Using Deep Graph Attention Network
Jinhua Zhang, Hui Li, Peng Cheng, et al.
Energies (2024) Vol. 17, Iss. 2, pp. 384-384
Open Access | Times Cited: 4

The motion forecasting study of floating offshore wind turbine using self-attention long short-term memory method
Sijia Deng, Dezhi Ning, Robert Mayon
Ocean Engineering (2024) Vol. 310, pp. 118709-118709
Closed Access | Times Cited: 4

Artificial neural network-based optimization of baffle geometries for maximized heat transfer efficiency in microchannel heat sinks
Shuqi Zhao, Limei Yan, Vishal Goyal, et al.
Case Studies in Thermal Engineering (2023) Vol. 49, pp. 103331-103331
Open Access | Times Cited: 10

Optimal reconciliation of hierarchical wind energy forecasts utilizing temporal correlation
Navneet Sharma, Rohit Bhakar, Prerna Jain
Energy Conversion and Management (2024) Vol. 301, pp. 118053-118053
Closed Access | Times Cited: 3

Wind forecasting-based model predictive control of generator, pitch, and yaw for output stabilisation – A 15-megawatt offshore
Tenghui Li, Jin Yang, Αναστασία Ιωάννου
Energy Conversion and Management (2024) Vol. 302, pp. 118155-118155
Open Access | Times Cited: 3

A Comparative Study of Vehicle Velocity Prediction for Hybrid Electric Vehicles Based on a Neural Network
Pei Zhang, Wangda Lu, Changqing Du, et al.
Mathematics (2024) Vol. 12, Iss. 4, pp. 575-575
Open Access | Times Cited: 3

A multi-head self-attention autoencoder network for fault detection of wind turbine gearboxes under random loads*
Xiaoxia Yu, Zhigang Zhang, Baoping Tang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086137-086137
Closed Access | Times Cited: 3

Bionic fusion perspective: Audiovisual-motivated integration network for solar irradiance prediction
Han Wu, Xiao‐Zhi Gao, Jiani Heng, et al.
Energy Conversion and Management (2024) Vol. 314, pp. 118726-118726
Closed Access | Times Cited: 3

Using enhanced Variational Modal Decomposition and Dung Beetle Optimization Algorithm optimization-kernel Extreme Learning Machine model to forecast short-term wind power
Guodong You, Z. Chang, Xing-Yun Li, et al.
Electric Power Systems Research (2024) Vol. 236, pp. 110904-110904
Closed Access | Times Cited: 3

Non-crossing quantile probabilistic forecasting of cluster wind power considering spatio-temporal correlation
Yuejiang Chen, Jiang‐Wen Xiao, Yan‐Wu Wang, et al.
Applied Energy (2024) Vol. 377, pp. 124356-124356
Closed Access | Times Cited: 3

Wind power forecasting using optimized LSTM by attraction–repulsion optimization algorithm
Mohammed A. A. Al‐qaness, Ahmed A. Ewees, Ahmad O. Aseeri, et al.
Ain Shams Engineering Journal (2024), pp. 103150-103150
Open Access | Times Cited: 3

Maximizing Annual Energy Yield in a Grid-Connected PV Solar Power Plant: Analysis of Seasonal Tilt Angle and Solar Tracking Strategies
Hameedullah Zaheb, Habibullah Amiry, Mikaeel Ahmadi, et al.
Sustainability (2023) Vol. 15, Iss. 14, pp. 11053-11053
Open Access | Times Cited: 9

Comparison of LSTM, GRU and Transformer Neural Network Architecture for Prediction of Wind Turbine Variables
Pablo Andrés Buestán Andrade, Matilde Santos, J. Enrique Sierra‐García, et al.
Lecture notes in networks and systems (2023), pp. 334-343
Closed Access | Times Cited: 8

Efficiency improvement for coal-fired power plants by H2/O2 combustion: Performance analysis and economic evaluation
Hao Zhang, Xiaozhe Wang, Haowei Guo, et al.
Journal of Energy Storage (2024) Vol. 88, pp. 111615-111615
Closed Access | Times Cited: 2

Short-Term Forecasting of Wind Power Based on Error Traceability and Numerical Weather Prediction Wind Speed Correction
Mao Yang, Yue Wen Jiang, Jianfeng Che, et al.
Electronics (2024) Vol. 13, Iss. 8, pp. 1559-1559
Open Access | Times Cited: 2

A novel offshore wind power prediction model based on TCN-DANet-sparse transformer and considering spatio-temporal coupling in multiple wind farms
Juntao Chen, Xueying Fu, Lingli Zhang, et al.
Energy (2024) Vol. 308, pp. 132899-132899
Closed Access | Times Cited: 2

Spatiotemporal forecasting using multi-graph neural network assisted dual domain transformer for wind power
Guolian Hou, Qingwei Li, Congzhi Huang
Energy Conversion and Management (2024) Vol. 325, pp. 119393-119393
Closed Access | Times Cited: 2

Physics-informed data-driven modeling approach for commuting-oriented hybrid powertrain optimization
Nuo Lei, Hao Zhang, Rulong Li, et al.
Energy Conversion and Management (2023) Vol. 299, pp. 117814-117814
Closed Access | Times Cited: 7

Integrating domain knowledge into transformer for short-term wind power forecasting
Junhao Cheng, Xing Luo, Zhi Jin
Energy (2024), pp. 133511-133511
Closed Access | Times Cited: 2

Multi-directional gated recurrent unit and convolutional neural network for load and energy forecasting: A novel hybridization
Fazeel Abid, Muhammad Alam, Faten S. Alamri, et al.
AIMS Mathematics (2023) Vol. 8, Iss. 9, pp. 19993-20017
Open Access | Times Cited: 5

A Refined Wind Power Forecasting Method with High Temporal Resolution Based on Light Convolutional Neural Network Architecture
Fei Zhang, Xiaoying Ren, Yongqian Liu
Energies (2024) Vol. 17, Iss. 5, pp. 1183-1183
Open Access | Times Cited: 1

Physics-inspired and data-driven two-stage deep learning approach for wind field reconstruction with experimental validation
Yi Liu, Ranpeng Wang, Yin Gu, et al.
Energy (2024) Vol. 298, pp. 131230-131230
Closed Access | Times Cited: 1

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