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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:

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: 98

Showing 26-50 of 98 citing articles:

Comparison of strategies for multistep-ahead lake water level forecasting using deep learning models
Gang Li, Zhangkang Shu, Miaoli Lin, et al.
Journal of Cleaner Production (2024) Vol. 444, pp. 141228-141228
Closed Access | Times Cited: 12
A hybrid wind speed prediction model using improved CEEMDAN and Autoformer model with auto-correlation mechanism
Bala Saibabu Bommidi, Kiran Teeparthi
Sustainable Energy Technologies and Assessments (2024) Vol. 64, pp. 103687-103687
Closed Access | Times Cited: 10
Analyzing predictors of in-hospital mortality in patients with acute ST-segment elevation myocardial infarction using an evolved machine learning approach
Mengge Gong, Dongjie Liang, Diyun Xu, et al.
Computers in Biology and Medicine (2024) Vol. 170, pp. 107950-107950
Closed Access | Times Cited: 8
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
Simultaneous forecasting of wind speed for multiple stations based on attribute-augmented spatiotemporal graph convolutional network and tree-structured parzen estimator
Chu Zhang, Xiujie Qiao, Zhao Zhang, et al.
Energy (2024) Vol. 295, pp. 131058-131058
Closed Access | Times Cited: 7
Research and application of an evolutionary deep learning model based on improved grey wolf optimization algorithm and DBN-ELM for AQI prediction
Yiman Li, Peng Tian, Lei Hua, et al.
Sustainable Cities and Society (2022) Vol. 87, pp. 104209-104209
Closed Access | Times Cited: 35
A novel few-shot learning approach for wind power prediction applying secondary evolutionary generative adversarial network
Anbo Meng, Shu Chen, Zuhong Ou, et al.
Energy (2022) Vol. 261, pp. 125276-125276
Closed Access | Times Cited: 31
An evolutionary stacked generalization model based on deep learning and improved grasshopper optimization algorithm for predicting the remaining useful life of PEMFC
Chu Zhang, Haowen Hu, Jie Ji, et al.
Applied Energy (2022) Vol. 330, pp. 120333-120333
Closed Access | Times Cited: 31
Hybrid solar radiation forecasting model with temporal convolutional network using data decomposition and improved artificial ecosystem-based optimization algorithm
Yuhan Wang, Chu Zhang, Yongyan Fu, et al.
Energy (2023) Vol. 280, pp. 128171-128171
Closed Access | Times Cited: 20
Research and application of a novel graph convolutional RVFL and evolutionary equilibrium optimizer algorithm considering spatial factors in ultra-short-term solar power prediction
Peng Tian, Shihao Song, Leiming Suo, et al.
Energy (2024) Vol. 308, pp. 132928-132928
Closed Access | Times Cited: 7
A point-interval wind speed forecasting system based on fuzzy theory and neural networks architecture searching strategy
Jingjiang Liu, Jianzhou Wang, Yunbo Niu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 132, pp. 107906-107906
Closed Access | Times Cited: 6
A reconstruction-based secondary decomposition-ensemble framework for wind power forecasting
Runkun Cheng, Di Yang, Da Liu, et al.
Energy (2024) Vol. 308, pp. 132895-132895
Closed Access | Times Cited: 6
Wind and Solar Power Generation Forecasting Based on Hybrid CNN-ABiLSTM, CNN-Transformer-MLP Models
Tasarruf Bashir, Huifang Wang, Mustafa Tahir, et al.
Renewable Energy (2024), pp. 122055-122055
Closed Access | Times Cited: 6
An effective hybrid wind power forecasting model based on "decomposition-reconstruction-ensemble" strategy and wind resource matching
Yi Xiao, Sheng Wu, Chen He, et al.
Sustainable Energy Grids and Networks (2024) Vol. 38, pp. 101293-101293
Closed Access | Times Cited: 5
InfoCAVB-MemoryFormer: Forecasting of wind and photovoltaic power through the interaction of data reconstruction and data augmentation
Mingwei Zhong, J.M. Fan, Jianqiang Luo, et al.
Applied Energy (2024) Vol. 371, pp. 123745-123745
Closed Access | Times Cited: 5
WindForecastX: a dynamic approach for accurate long-term wind speed prediction in wind energy applications
Sasi Rekha Sankar, P. Madhavan
Ocean Dynamics (2025) Vol. 75, Iss. 1
Closed Access
A hybrid forecasting system with complexity identification and improved optimization for short-term wind speed prediction
Yagang Zhang, Yinchuan Chen, Zihan Qi, et al.
Energy Conversion and Management (2022) Vol. 270, pp. 116221-116221
Closed Access | Times Cited: 22
A novel hybrid wind speed prediction framework based on multi-strategy improved optimizer and new data pre-processing system with feedback mechanism
Zhirui Tian, Gai Mei
Energy (2023) Vol. 281, pp. 128225-128225
Closed Access | Times Cited: 14
A novel multi-gradient evolutionary deep learning approach for few-shot wind power prediction using time-series GAN
Anbo Meng, Hai‐Tao Zhang, Hao Yin, et al.
Energy (2023) Vol. 283, pp. 129139-129139
Closed Access | Times Cited: 14
Multi-strategy adaptive guidance differential evolution algorithm using fitness-distance balance and opposition-based learning for constrained global optimization of photovoltaic cells and modules
Qianlong Liu, Chu Zhang, Zhengbo Li, et al.
Applied Energy (2023) Vol. 353, pp. 122032-122032
Closed Access | Times Cited: 14
Novel deterministic and probabilistic forecasting methods for crude oil price employing optimized deep learning, statistical and hybrid models
Sourav Kumar Purohit, Sibarama Panigrahi
Information Sciences (2023) Vol. 658, pp. 120021-120021
Closed Access | Times Cited: 14
Day-ahead solar photovoltaic energy forecasting based on weather data using LSTM networks: a comparative study for photovoltaic (PV) panels in Turkey
Zeynep Garip, Ekin Ekıncı, Ali Alan
Electrical Engineering (2023) Vol. 105, Iss. 5, pp. 3329-3345
Closed Access | Times Cited: 12
Review of AI-Based Wind Prediction within Recent Three Years: 2021–2023
Dongran Song, Xiao Tan, Qian Huang, et al.
Energies (2024) Vol. 17, Iss. 6, pp. 1270-1270
Open Access | Times Cited: 4
Ultra-short-term wind power prediction model based on fixed scale dual mode decomposition and deep learning networks
Jiuyuan Huo, Jihao Xu, Chen Chang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108501-108501
Closed Access | Times Cited: 4
Point-based and probabilistic electricity demand prediction with a Neural Facebook Prophet and Kernel Density Estimation model
Sujan Ghimire, Ravinesh C. Deo, S. Ali Pourmousavi, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 135, pp. 108702-108702
Open Access | Times Cited: 4

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