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 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: 48

Showing 1-25 of 48 citing articles:

Load Forecasting with Machine Learning and Deep Learning Methods
Moisés Cordeiro-Costas, Daniel Villanueva, Pablo Eguía, et al.
Applied Sciences (2023) Vol. 13, Iss. 13, pp. 7933-7933
Open Access | Times Cited: 41

A wind speed forcasting model based on rime optimization based VMD and multi-headed self-attention-LSTM
Wenhui Liu, Yulong Bai, xiaoxin Yue, et al.
Energy (2024) Vol. 294, pp. 130726-130726
Closed Access | Times Cited: 28

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: 14

Combined Ultra-Short-Term Photovoltaic Power Prediction Based on CEEMDAN Decomposition and RIME Optimized AM-TCN-BiLSTM
Daixuan Zhou, Yujin Liu, Xu Wang, et al.
Energy (2025), pp. 134847-134847
Closed Access | Times Cited: 1

Multiagent Deep Reinforcement Learning for Dynamic Avatar Migration in AIoT-Enabled Vehicular Metaverses With Trajectory Prediction
Junlong Chen, Jiawen Kang, Minrui Xu, et al.
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 1, pp. 70-83
Open Access | Times Cited: 19

Ensemble optimization approach based on hybrid mode decomposition and intelligent technology for wind power prediction system
Yagang Zhang, Hui Wang, Jingchao Wang, et al.
Energy (2024) Vol. 292, pp. 130492-130492
Closed Access | Times Cited: 6

A maintenance scheduling and non-full vessel routing strategy for offshore wind farms considering day-ahead environment interval forecasting
Guojin Si, Tangbin Xia, Kaigan Zhang, et al.
Ocean Engineering (2025) Vol. 321, pp. 120440-120440
Closed Access

Understanding and evaluating new quality productive forces in China: based on machine learning
Yuanpeng Cao, Shangze Dai
Applied Economics Letters (2025), pp. 1-7
Closed Access

A novel data-driven model for explainable hog price forecasting
Binrong Wu, Huanze Zeng, Huanling Hu, et al.
Applied Intelligence (2025) Vol. 55, Iss. 6
Closed Access

Dissolved Oxygen Prediction in the Dianchi River Basin with Explainable Artificial Intelligence based on Physical Prior Knowledge
Tunhua Wu, Xi Chen, Jinghan Dong, et al.
Environmental Modelling & Software (2025) Vol. 188, pp. 106412-106412
Closed Access

A robust De-Noising Autoencoder imputation and VMD algorithm based deep learning technique for short-term wind speed prediction ensuring cyber resilience
Karan Sareen, Bijaya Ketan Panigrahi, Tushar Shikhola, et al.
Energy (2023) Vol. 283, pp. 129080-129080
Closed Access | Times Cited: 14

DTTM: A deep temporal transfer model for ultra-short-term online wind power forecasting
Mingwei Zhong, Cancheng Xu, Zikang Xian, et al.
Energy (2023) Vol. 286, pp. 129588-129588
Closed Access | Times Cited: 12

CC-GAIN: Clustering and classification-based generative adversarial imputation network for missing electricity consumption data imputation
Junhwa Hwang, Dongjun Suh
Expert Systems with Applications (2024) Vol. 255, pp. 124507-124507
Open Access | Times Cited: 4

Dynamic characteristics and real-time control of flue gas-molten salt heat exchanger for flexibility transformation of coal-fired power plants
Zhiguo Mu, Kaijun Jiang, Qiang Zhang, et al.
Applied Thermal Engineering (2024) Vol. 257, pp. 124319-124319
Closed Access | Times Cited: 4

A new short-term wind power prediction methodology based on linear and nonlinear hybrid models
Xixuan Zhao, Bingzhen Sun, Ning Wu, et al.
Computers & Industrial Engineering (2024) Vol. 196, pp. 110477-110477
Closed Access | Times Cited: 3

Informer learning framework based on secondary decomposition for multi-step forecast of ultra-short term wind speed
Zihao Jin, Xiaomengting Fu, Ling Xiang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109702-109702
Closed Access | Times Cited: 3

Short-term load forecasting method of IES based on RLA neural network with dual signal processing
You Lv, Yijun Shi, Zeyang Li, et al.
Energy and Buildings (2024) Vol. 309, pp. 114074-114074
Closed Access | Times Cited: 2

WindFix: Harnessing the power of self-supervised learning for versatile imputation of offshore wind speed time series
Yaoran Chen, Candong Cai, Leilei Cao, et al.
Energy (2023) Vol. 287, pp. 128995-128995
Closed Access | Times Cited: 6

Enhancing Sensor Data Imputation: OWA-Based Model Aggregation for Missing Values
Muthana Al‐Amidie, Laith Alzubaidi, Muhammad Aminul Islam, et al.
Future Internet (2024) Vol. 16, Iss. 6, pp. 193-193
Open Access | Times Cited: 1

Very short-term wind power forecasting for real-time operation using hybrid deep learning model with optimization algorithm
Md. Omer Faruque, Md. Alamgir Hossain, Md. Rashidul Islam, et al.
Cleaner Energy Systems (2024) Vol. 9, pp. 100129-100129
Open Access | Times Cited: 1

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