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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:

A dual-scale deep learning model based on ELM-BiLSTM and improved reptile search algorithm for wind power prediction
Jinlin Xiong, Peng Tian, Zihan Tao, et al.
Energy (2022) Vol. 266, pp. 126419-126419
Closed Access | Times Cited: 144

Showing 1-25 of 144 citing articles:

Short-term wind power prediction based on two-layer decomposition and BiTCN-BiLSTM-attention model
Dongdong Zhang, Baian Chen, Hongyu Zhu, et al.
Energy (2023) Vol. 285, pp. 128762-128762
Closed Access | Times Cited: 69
Wind speed prediction by a swarm intelligence based deep learning model via signal decomposition and parameter optimization using improved chimp optimization algorithm
Leiming Suo, Peng Tian, Shihao Song, et al.
Energy (2023) Vol. 276, pp. 127526-127526
Closed Access | Times Cited: 67
Load forecasting for regional integrated energy system based on complementary ensemble empirical mode decomposition and multi-model fusion
Jian Shi, Jiashen Teh
Applied Energy (2023) Vol. 353, pp. 122146-122146
Closed Access | Times Cited: 50
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 novel DWTimesNet-based short-term multi-step wind power forecasting model using feature selection and auto-tuning methods
Chu Zhang, Yuhan Wang, Yongyan Fu, et al.
Energy Conversion and Management (2024) Vol. 301, pp. 118045-118045
Closed Access | Times Cited: 20
Enhancing short-term wind speed prediction based on an outlier-robust ensemble deep random vector functional link network with AOA-optimized VMD
Chu Zhang, Zhengbo Li, Yida Ge, et al.
Energy (2024) Vol. 296, pp. 131173-131173
Closed Access | Times Cited: 20
Enhancing state of charge and state of energy estimation in Lithium-ion batteries based on a TimesNet model with Gaussian data augmentation and error correction
Chu Zhang, Yue Zhang, Zhengbo Li, et al.
Applied Energy (2024) Vol. 359, pp. 122669-122669
Closed Access | Times Cited: 15
A novel wind power forecasting system integrating time series refining, nonlinear multi-objective optimized deep learning and linear error correction
Jianzhou Wang, Yuansheng Qian, Linyue Zhang, et al.
Energy Conversion and Management (2023) Vol. 299, pp. 117818-117818
Closed Access | Times Cited: 38
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: 37
Multistep short-term wind power forecasting model based on secondary decomposition, the kernel principal component analysis, an enhanced arithmetic optimization algorithm, and error correction
Guolian Hou, Junjie Wang, Yuzhen Fan
Energy (2023) Vol. 286, pp. 129640-129640
Closed Access | Times Cited: 37
High and low frequency wind power prediction based on Transformer and BiGRU-Attention
Shuangxin Wang, Jiarong Shi, Wei Yang, et al.
Energy (2023) Vol. 288, pp. 129753-129753
Closed Access | Times Cited: 37
Short-term load forecasting based on WM algorithm and transfer learning model
Nan Wei, Chuang Yin, Lihua Yin, et al.
Applied Energy (2023) Vol. 353, pp. 122087-122087
Closed Access | Times Cited: 36
Carbon price forecasting based on secondary decomposition and feature screening
Jingmiao Li, Dehong Liu
Energy (2023) Vol. 278, pp. 127783-127783
Closed Access | Times Cited: 34
Spatiotemporal wind power forecasting approach based on multi-factor extraction method and an indirect strategy
Shaolong Sun, Zongjuan Du, Kun Jin, et al.
Applied Energy (2023) Vol. 350, pp. 121749-121749
Closed Access | Times Cited: 33
Developing an evolutionary deep learning framework with random forest feature selection and improved flow direction algorithm for NOx concentration prediction
Huixin Ma, Peng Tian, Chu Zhang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106367-106367
Closed Access | Times Cited: 28
A two-channel deep network based model for improving ultra-short-term prediction of wind power via utilizing multi-source data
Hong Liu, Luoxiao Yang, Bingying Zhang, et al.
Energy (2023) Vol. 283, pp. 128510-128510
Closed Access | Times Cited: 25
Reptile Search Algorithm: Theory, Variants, Applications, and Performance Evaluation
Buddhadev Sasmal, Abdelazim G. Hussien, Arunita Das, et al.
Archives of Computational Methods in Engineering (2023) Vol. 31, Iss. 1, pp. 521-549
Closed Access | Times Cited: 25
A Review of Modern Wind Power Generation Forecasting Technologies
Wen-Chang Tsai, Chih-Ming Hong, Chia‐Sheng Tu, et al.
Sustainability (2023) Vol. 15, Iss. 14, pp. 10757-10757
Open Access | Times Cited: 23
Improved Reptile Search Optimization Algorithm: Application on Regression and Classification Problems
Muhammad Kamran Khan, Muhammad Hamza Zafar, Saad Rashid, et al.
Applied Sciences (2023) Vol. 13, Iss. 2, pp. 945-945
Open Access | Times Cited: 21
Estimating reference crop evapotranspiration using improved convolutional bidirectional long short-term memory network by multi-head attention mechanism in the four climatic zones of China
Juan Dong, Liwen Xing, Ningbo Cui, et al.
Agricultural Water Management (2024) Vol. 292, pp. 108665-108665
Open Access | Times Cited: 13
A hybrid model with combined feature selection based on optimized VMD and improved multi-objective coati optimization algorithm for short-term wind power prediction
Chao Wang, Lin Hon, Heng Hu, et al.
Energy (2024) Vol. 293, pp. 130684-130684
Closed Access | Times Cited: 13
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 novel model for ultra-short term wind power prediction based on Vision Transformer
Ling Xiang, Xiaomengting Fu, Qingtao Yao, et al.
Energy (2024) Vol. 294, pp. 130854-130854
Closed Access | Times Cited: 12
A short-term wind power prediction approach based on an improved dung beetle optimizer algorithm, variational modal decomposition, and deep learning
Yan He, Wei Wang, Meng Li, et al.
Computers & Electrical Engineering (2024) Vol. 116, pp. 109182-109182
Closed Access | Times Cited: 11
A hybrid prediction model of improved bidirectional long short-term memory network for cooling load based on PCANet and attention mechanism
Xiuying Yan, Xingxing Ji, Qinglong Meng, et al.
Energy (2024) Vol. 292, pp. 130388-130388
Closed Access | Times Cited: 10
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