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:

Showing 13 citing articles:

A parallel deep neural network for intelligent fault diagnosis of drilling pumps
Junyu Guo, Yulai Yang, He Li, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108071-108071
Open Access | Times Cited: 43

Hybrid physical and data driven modeling for dynamic operation characteristic simulation of wind turbine
Jie Yan, Akejiang Nuertayi, Yamin Yan, et al.
Renewable Energy (2023) Vol. 215, pp. 118958-118958
Closed Access | Times Cited: 13

Machine learning applications in health monitoring of renewable energy systems
Bo Ren, Yuan Chi, Niancheng Zhou, et al.
Renewable and Sustainable Energy Reviews (2023) Vol. 189, pp. 114039-114039
Closed Access | Times Cited: 13

Comprehensive Analysis and Evaluation of the Operation and Maintenance of Offshore Wind Power Systems: A Survey
Cheng Yang, Jun Jia, Ke He, et al.
Energies (2023) Vol. 16, Iss. 14, pp. 5562-5562
Open Access | Times Cited: 12

Machine Learning Solutions for Offshore Wind Farms: A Review of Applications and Impacts
Masoud Masoumi
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 10, pp. 1855-1855
Open Access | Times Cited: 12

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

Artificial Neural Network-Based Prediction of the Extreme Response of Floating Offshore Wind Turbines under Operating Conditions
Wang Ke-lin, Oleg Gaidai, Fang Wang, et al.
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 9, pp. 1807-1807
Open Access | Times Cited: 5

A double-objective prediction and optimization method for buoys performance based on the artificial neural network
Chunyu Jiang, Feifei Cao, Demin Li, et al.
Ocean Engineering (2023) Vol. 282, pp. 114969-114969
Closed Access | Times Cited: 4

A flow rate estimation method for gas–liquid two-phase flow based on filter-enhanced convolutional neural network
Yuxiao Jiang, Yinyan Liu, Lihui Peng, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109593-109593
Closed Access | Times Cited: 1

Fault diagnosis of floating offshore wind turbine based on bidirectional long short-term memory networks with sliding window
Ping Wu, Yifei Huo, Yanan Ni, et al.
Proceedings of the Institution of Mechanical Engineers Part A Journal of Power and Energy (2024)
Closed Access

Systems and Challenges in Operation and Maintenance of Offshore Wind Power: A Review
Jun Jia, Cheng Yang, Haoyang Cui, et al.
2022 7th Asia Conference on Power and Electrical Engineering (ACPEE) (2023), pp. 1407-1412
Closed Access | Times Cited: 1

SO-IMCKD processed signal improving MSCNN model’s fault diagnosis accuracy for drilling pump fluid end
Gang Li, Jiayao Hu, Yaping Ding, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 11, pp. 115115-115115
Closed Access | Times Cited: 1

Convolutional neural network–based structural health monitoring framework for wind turbine blade
N. Saharan, Pardeep Kumar, Joy Pal
Journal of Vibration and Control (2023) Vol. 30, Iss. 19-20, pp. 4650-4664
Closed Access | Times Cited: 1

Page 1

Scroll to top