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:

Quaternion convolutional long short-term memory neural model with an adaptive decomposition method for wind speed forecasting: North aegean islands case studies
Mehdi Neshat, Meysam Majidi Nezhad, Seyedali Mirjalili, et al.
Energy Conversion and Management (2022) Vol. 259, pp. 115590-115590
Closed Access | Times Cited: 53

Showing 1-25 of 53 citing articles:

Multivariate wind speed forecasting based on multi-objective feature selection approach and hybrid deep learning model
Sheng-Xiang Lv, Lin Wang
Energy (2022) Vol. 263, pp. 126100-126100
Closed Access | Times Cited: 80

Achieving wind power and photovoltaic power prediction: An intelligent prediction system based on a deep learning approach
Yagang Zhang, Zhiya Pan, Hui Wang, et al.
Energy (2023) Vol. 283, pp. 129005-129005
Closed Access | Times Cited: 40

A short-term wind power forecasting method based on multivariate signal decomposition and variable selection
Ting Yang, Zhenning Yang, Fei Li, et al.
Applied Energy (2024) Vol. 360, pp. 122759-122759
Closed Access | Times Cited: 25

A novel ensemble system for short-term wind speed forecasting based on hybrid decomposition approach and artificial intelligence models optimized by self-attention mechanism
Junheng Pang, Sheng Dong
Energy Conversion and Management (2024) Vol. 307, pp. 118343-118343
Closed Access | Times Cited: 21

CNN–LSTM–AM: A power prediction model for offshore wind turbines
Yu Sun, Qibo Zhou, Li Sun, et al.
Ocean Engineering (2024) Vol. 301, pp. 117598-117598
Closed Access | Times Cited: 20

Effective mitigation of climate change with sustainable development of energy, water and environment systems
Şiir Kılkış, Goran Krajačić, Neven Duić, et al.
Energy Conversion and Management (2022) Vol. 269, pp. 116146-116146
Closed Access | Times Cited: 64

Better wind forecasting using Evolutionary Neural Architecture search driven Green Deep Learning
Keerthi NagaSree Pujari, Srinivas Soumitri Miriyala, Prateek Mittal, et al.
Expert Systems with Applications (2022) Vol. 214, pp. 119063-119063
Open Access | Times Cited: 39

Hybrid model for short-term wind power forecasting based on singular spectrum analysis and a temporal convolutional attention network with an adaptive receptive field
Zhen Shao, Jun Han, Wei Zhao, et al.
Energy Conversion and Management (2022) Vol. 269, pp. 116138-116138
Closed Access | Times Cited: 38

Combined forecasting tool for renewable energy management in sustainable supply chains
Yuhuan Sun, Jiao Ding, Zhenkun Liu, et al.
Computers & Industrial Engineering (2023) Vol. 179, pp. 109237-109237
Closed Access | Times Cited: 34

Applicability analysis of transformer to wind speed forecasting by a novel deep learning framework with multiple atmospheric variables
Wenjun Jiang, Bo Liu, Yang Liang, et al.
Applied Energy (2023) Vol. 353, pp. 122155-122155
Closed Access | Times Cited: 32

Sustainable development of energy, water and environment systems in the critical decade for climate action
Şiir Kılkış, Goran Krajačić, Neven Duić, et al.
Energy Conversion and Management (2023) Vol. 296, pp. 117644-117644
Closed Access | Times Cited: 26

Short-term wind power prediction based on modal reconstruction and CNN-BiLSTM
Zheng Li, Ruosi Xu, Xiaorui Luo, et al.
Energy Reports (2023) Vol. 9, pp. 6449-6460
Open Access | Times Cited: 22

Interpretable wind speed forecasting with meteorological feature exploring and two-stage decomposition
Binrong Wu, Sihao Yu, Lu Peng, et al.
Energy (2024) Vol. 294, pp. 130782-130782
Closed Access | Times Cited: 13

Wind power forecasting method of large-scale wind turbine clusters based on DBSCAN clustering and an enhanced hunter-prey optimization algorithm
Guolian Hou, Junjie Wang, Yuzhen Fan
Energy Conversion and Management (2024) Vol. 307, pp. 118341-118341
Closed Access | Times Cited: 13

A robust chaos-inspired artificial intelligence model for dealing with nonlinear dynamics in wind speed forecasting
Caner Barış, Cağfer Yanarateş, Aytaç Altan
PeerJ Computer Science (2024) Vol. 10, pp. e2393-e2393
Open Access | Times Cited: 9

An attention-based multi-input LSTM with sliding window-based two-stage decomposition for wind speed forecasting
Dongchuan Yang, Mingzhu Li, Ju’e Guo, et al.
Applied Energy (2024) Vol. 375, pp. 124057-124057
Closed Access | Times Cited: 8

Sustainable development using integrated energy systems and solar, biomass, wind, and wave technology
Poul Alberg Østergaard, Neven Duić, Soteris A. Kalogirou
Renewable Energy (2024), pp. 121359-121359
Closed Access | Times Cited: 7

A review of ultra-short-term forecasting of wind power based on data decomposition-forecasting technology combination model
Yulong Chen, Xue Hu, Lixin Zhang
Energy Reports (2022) Vol. 8, pp. 14200-14219
Open Access | Times Cited: 28

Wind Energy Harvesting and Conversion Systems: A Technical Review
Sinhara M. H. D. Perera, Ghanim Putrus, Michael Conlon, et al.
Energies (2022) Vol. 15, Iss. 24, pp. 9299-9299
Open Access | Times Cited: 28

Powerformer: A temporal-based transformer model for wind power forecasting
Site Mo, Haoxin Wang, Bixiong Li, et al.
Energy Reports (2023) Vol. 11, pp. 736-744
Open Access | Times Cited: 18

Ultra-short-term wind speed prediction based on TCN-MCM-EKF
Pengxiang Sun, Juan Wang, Zhenguo Yan
Energy Reports (2024) Vol. 11, pp. 2127-2140
Open Access | Times Cited: 5

A new decomposition-ensemble strategy fusion with correntropy optimization learning algorithms for short-term wind speed prediction
Ning Zhao, Yi Su, Xianxing Dai, et al.
Applied Energy (2024) Vol. 369, pp. 123589-123589
Closed Access | Times Cited: 5

Hybrid attention-based deep neural networks for short-term wind power forecasting using meteorological data in desert regions
Moussa Belletreche, Nadjem Bailek, Mostafa Abotaleb, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5

A Wind Speed Prediction Method Based on Signal Decomposition Technology Deep Learning Model
Jie Du, S. C. Chen, Linlin Pan, et al.
Energies (2025) Vol. 18, Iss. 5, pp. 1136-1136
Open Access

Review of Estimating and Predicting Models of the Wind Energy Amount
Владимир Сергеевич Симанков, Pavel Yu. Buchatskiy, Semen V. Teploukhov, et al.
Energies (2023) Vol. 16, Iss. 16, pp. 5926-5926
Open Access | Times Cited: 14

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