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:

2-D regional short-term wind speed forecast based on CNN-LSTM deep learning model
Yaoran Chen, Yan Wang, Zhikun Dong, et al.
Energy Conversion and Management (2021) Vol. 244, pp. 114451-114451
Closed Access | Times Cited: 152

Showing 1-25 of 152 citing articles:

Hybrid VMD-CNN-GRU-based model for short-term forecasting of wind power considering spatio-temporal features
Zeni Zhao, Sining Yun, Lingyun Jia, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 121, pp. 105982-105982
Closed Access | Times Cited: 152

Point and interval forecasting of ultra-short-term wind power based on a data-driven method and hybrid deep learning model
Dongxiao Niu, Lijie Sun, Min Yu, et al.
Energy (2022) Vol. 254, pp. 124384-124384
Closed Access | Times Cited: 109

An evolutionary deep learning model based on TVFEMD, improved sine cosine algorithm, CNN and BiLSTM for wind speed prediction
Chu Zhang, Huixin Ma, Lei Hua, et al.
Energy (2022) Vol. 254, pp. 124250-124250
Closed Access | Times Cited: 99

A hybrid attention-based deep learning approach for wind power prediction
Zhengjing Ma, Gang Mei
Applied Energy (2022) Vol. 323, pp. 119608-119608
Closed Access | Times Cited: 98

Multistep short-term wind speed forecasting using transformer
Huijuan Wu, Keqilao Meng, Daoerji Fan, et al.
Energy (2022) Vol. 261, pp. 125231-125231
Open Access | Times Cited: 89

Hourly day ahead wind speed forecasting based on a hybrid model of EEMD, CNN-Bi-LSTM embedded with GA optimization
Thi Hoai Thu Nguyen, Quoc Bao Phan
Energy Reports (2022) Vol. 8, pp. 53-60
Open Access | Times Cited: 78

Short-Term Solar Power Predicting Model Based on Multi-Step CNN Stacked LSTM Technique
Neethu Elizabeth Michael, Manohar Mishra, Shazia Hasan, et al.
Energies (2022) Vol. 15, Iss. 6, pp. 2150-2150
Open Access | Times Cited: 77

A dual-optimization wind speed forecasting model based on deep learning and improved dung beetle optimization algorithm
Yanhui Li, Kaixuan Sun, Qi Yao, et al.
Energy (2023) Vol. 286, pp. 129604-129604
Closed Access | Times Cited: 65

A convolutional Transformer-based truncated Gaussian density network with data denoising for wind speed forecasting
Yun Wang, Houhua Xu, Mengmeng Song, et al.
Applied Energy (2023) Vol. 333, pp. 120601-120601
Closed Access | Times Cited: 62

Nonlinear hydrodynamics of floating offshore wind turbines: A review
Xinmeng Zeng, Yanlin Shao, Xingya Feng, et al.
Renewable and Sustainable Energy Reviews (2023) Vol. 191, pp. 114092-114092
Closed Access | Times Cited: 53

An imputation and decomposition algorithms based integrated approach with bidirectional LSTM neural network for wind speed prediction
Karan Sareen, Bijaya Ketan Panigrahi, Tushar Shikhola, et al.
Energy (2023) Vol. 278, pp. 127799-127799
Closed Access | Times Cited: 49

Learning based short term wind speed forecasting models for smart grid applications: An extensive review and case study
Vikash Kumar Saini, Rajesh Kumar, Ameena Saad Al‐Sumaiti, et al.
Electric Power Systems Research (2023) Vol. 222, pp. 109502-109502
Closed Access | Times Cited: 41

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: 22

Arctic short-term wind speed forecasting based on CNN-LSTM model with CEEMDAN
Qingyang Li, Guosong Wang, Xinrong Wu, et al.
Energy (2024) Vol. 299, pp. 131448-131448
Closed Access | Times Cited: 20

Improving short-term offshore wind speed forecast accuracy using a VMD-PE-FCGRU hybrid model
Zhipeng Gong, Anping Wan, Yunsong Ji, et al.
Energy (2024) Vol. 295, pp. 131016-131016
Closed Access | Times Cited: 15

A new paradigm based on Wasserstein Generative Adversarial Network and time-series graph for integrated energy system forecasting
Zhirui Tian, Gai Mei
Energy Conversion and Management (2025) Vol. 326, pp. 119484-119484
Closed Access | Times Cited: 2

Hybridization of hybrid structures for time series forecasting: a review
Zahra Hajirahimi, Mehdi Khashei
Artificial Intelligence Review (2022) Vol. 56, Iss. 2, pp. 1201-1261
Closed Access | Times Cited: 67

Dynamic spatio-temporal correlation and hierarchical directed graph structure based ultra-short-term wind farm cluster power forecasting method
Fei Wang, Peng Chen, Zhao Zhen, et al.
Applied Energy (2022) Vol. 323, pp. 119579-119579
Closed Access | Times Cited: 61

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

Review on Deep Learning Research and Applications in Wind and Wave Energy
Chengcheng Gu, Hua Li
Energies (2022) Vol. 15, Iss. 4, pp. 1510-1510
Open Access | Times Cited: 50

Development of a neural network-based energy management system for a plug-in hybrid electric vehicle
Federico Millo, Luciano Rolando, Luigi Tresca, et al.
Transportation Engineering (2022) Vol. 11, pp. 100156-100156
Open Access | Times Cited: 45

A Survey of Convolutional Neural Network in Breast Cancer
Ziquan Zhu, Shuihua Wang‎, Yudong Zhang
Computer Modeling in Engineering & Sciences (2022) Vol. 136, Iss. 3, pp. 2127-2172
Open Access | Times Cited: 41

A short-term wind speed interval prediction method based on WRF simulation and multivariate line regression for deep learning algorithms
Yan Han, Lihua Mi, Lian Shen, et al.
Energy Conversion and Management (2022) Vol. 258, pp. 115540-115540
Closed Access | Times Cited: 40

A novel hybrid model based on GA-VMD, sample entropy reconstruction and BiLSTM for wind speed prediction
Zhenjie Liu, Haizhong Liu
Measurement (2023) Vol. 222, pp. 113643-113643
Closed Access | Times Cited: 40

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