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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:

Normal Behaviour Models for Wind Turbine Vibrations: Comparison of Neural Networks and a Stochastic Approach
Pedro G. Lind, Luis Vera-Tudela, Matthias Wächter, et al.
Energies (2017) Vol. 10, Iss. 12, pp. 1944-1944
Open Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

Optimal load dispatch of community microgrid with deep learning based solar power and load forecasting
Lulu Wen, Kaile Zhou, Shanlin Yang, et al.
Energy (2019) Vol. 171, pp. 1053-1065
Closed Access | Times Cited: 306
An improved seasonal GM(1,1) model based on the HP filter for forecasting wind power generation in China
Wuyong Qian, Jue Wang
Energy (2020) Vol. 209, pp. 118499-118499
Closed Access | Times Cited: 105
A Multi-Criteria Decision Making (MCDM) for Renewable Energy Plants Location Selection in Vietnam under a Fuzzy Environment
Chia–Nan Wang, Ying-Fang Huang, Yu-Chien Chai, et al.
Applied Sciences (2018) Vol. 8, Iss. 11, pp. 2069-2069
Open Access | Times Cited: 89
National-scale electricity peak load forecasting: Traditional, machine learning, or hybrid model?
Juyong Lee, Youngsang Cho
Energy (2021) Vol. 239, pp. 122366-122366
Open Access | Times Cited: 87
Multi-target normal behaviour models for wind farm condition monitoring
Angela Meyer
Applied Energy (2021) Vol. 300, pp. 117342-117342
Open Access | Times Cited: 61
Abnormal vibration detection of wind turbine based on temporal convolution network and multivariate coefficient of variation
Jun Zhan, Chengkun Wu, Xiandong Ma, et al.
Mechanical Systems and Signal Processing (2022) Vol. 174, pp. 109082-109082
Open Access | Times Cited: 37
Issues with Data Quality for Wind Turbine Condition Monitoring and Reliability Analyses
Kevin Leahy, Colm Gallagher, Peter O’Donovan, et al.
Energies (2019) Vol. 12, Iss. 2, pp. 201-201
Open Access | Times Cited: 72
Artificial Intelligence and Mathematical Models of Power Grids Driven by Renewable Energy Sources: A Survey
Sabarathinam Srinivasan, Suresh Kumarasamy, Zacharias Andreadakis, et al.
Energies (2023) Vol. 16, Iss. 14, pp. 5383-5383
Open Access | Times Cited: 17
Wind Turbine Condition Monitoring Strategy through Multiway PCA and Multivariate Inference
Francesc Pozo, Yolanda Vidal, Óscar Salgado
Energies (2018) Vol. 11, Iss. 4, pp. 749-749
Open Access | Times Cited: 58
Wind Speed Modeling by Nested ARIMA Processes
So-Kumneth Sim, Philipp Maass, Pedro G. Lind
Energies (2018) Vol. 12, Iss. 1, pp. 69-69
Open Access | Times Cited: 54
Wind field effect on the power generation and aerodynamic performance of offshore floating wind turbines
Liang Li, Yuanchuan Liu, Zhiming Yuan, et al.
Energy (2018) Vol. 157, pp. 379-390
Open Access | Times Cited: 52
Use of new variables based on air temperature for forecasting day-ahead spot electricity prices using deep neural networks: A new approach
Tomasz Jasiński
Energy (2020) Vol. 213, pp. 118784-118784
Open Access | Times Cited: 34
Multi-Step Short-Term Wind Speed Prediction Using a Residual Dilated Causal Convolutional Network with Nonlinear Attention
Shivam Kumar, Jong-Chyuan Tzou, Shang-Chen Wu
Energies (2020) Vol. 13, Iss. 7, pp. 1772-1772
Open Access | Times Cited: 33
EV Charging Management with ANN-Based Electricity Price Forecasting
Qiyun Dang, Di Wu, Benoît Boulet
(2020)
Closed Access | Times Cited: 31
Feature selection techniques for modelling tower fatigue loads of a wind turbine with neural networks
Artur Movsessian, Marcel Schedat, Torsten Faber
Wind energy science (2021) Vol. 6, Iss. 2, pp. 539-554
Open Access | Times Cited: 23
Maintenance Optimization of Offshore Wind Turbines Based on an Opportunistic Maintenance Strategy
Lubing Xie, Xiaoming Rui, Shuai Li, et al.
Energies (2019) Vol. 12, Iss. 14, pp. 2650-2650
Open Access | Times Cited: 26
Modern AI versus century-old mathematical models: How far can we go with generative adversarial networks to reproduce stochastic processes?
Pedro Lencastre, Marit Gjersdal, Leonardo Rydin Gorjão, et al.
Physica D Nonlinear Phenomena (2023) Vol. 453, pp. 133831-133831
Open Access | Times Cited: 8
Assessment and Performance Evaluation of a Wind Turbine Power Output
Akintayo T. Abolude, Wen Zhou
Energies (2018) Vol. 11, Iss. 8, pp. 1992-1992
Open Access | Times Cited: 25
Wind Turbines Offshore Foundations and Connections to Grid
Francisco Manzano‐Agugliaro, Miguel Sánchez-Calero, Alfredo Alcayde, et al.
Inventions (2020) Vol. 5, Iss. 1, pp. 8-8
Open Access | Times Cited: 22
Condition Monitoring of Wind Turbine Generator Based on Transfer Learning and One-Class Classifier
Xiaohang Jin, Hengtuo Pan, Chengzuo Ying, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 24, pp. 24130-24139
Closed Access | Times Cited: 12
Modeling Wind-Speed Statistics beyond the Weibull Distribution
Pedro Lencastre, Anis Yazidi, Pedro G. Lind
Energies (2024) Vol. 17, Iss. 11, pp. 2621-2621
Open Access | Times Cited: 2
Fault Diagnosis Based on an Approach Combining a Spectrogram and a Convolutional Neural Network with Application to a Wind Turbine System
Wenxin Yu, Shoudao Huang, Xiao Weihong
Energies (2018) Vol. 11, Iss. 10, pp. 2561-2561
Open Access | Times Cited: 16
Analysis and Control of Wind Power Grid Integration Based on a Permanent Magnet Synchronous Generator Using a Fuzzy Logic System with Linear Extended State Observer
Youjie Ma, Long Tao, Xuesong Zhou, et al.
Energies (2019) Vol. 12, Iss. 15, pp. 2862-2862
Open Access | Times Cited: 16
Reduction of Structural Loads in Wind Turbines Based on an Adapted Control Strategy Concerning Online Fatigue Damage Evaluation Models
Nejra Beganović, Jackson G. Njiri, Dirk Söffker
Energies (2018) Vol. 11, Iss. 12, pp. 3429-3429
Open Access | Times Cited: 15
Fault Detection Algorithm for Wind Turbines’ Pitch Actuator Systems
Gisela Pujol, Leonardo Acho, José Gibergans-Báguena
Energies (2020) Vol. 13, Iss. 11, pp. 2861-2861
Open Access | Times Cited: 14
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