Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Integrated framework of extreme learning machine (ELM) based on improved atom search optimization for short-term wind speed prediction
Lei Hua, Chu Zhang, Peng Tian, et al.
Energy Conversion and Management (2021) Vol. 252, pp. 115102-115102
Closed Access | Times Cited: 125

Showing 1-25 of 125 citing articles:

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
A novel offshore wind farm typhoon wind speed prediction model based on PSO–Bi-LSTM improved by VMD
Jiale Li, Zihao Song, Xuefei Wang, et al.
Energy (2022) Vol. 251, pp. 123848-123848
Closed Access | Times Cited: 117
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
Wind speed prediction using a hybrid model of EEMD and LSTM considering seasonal features
Yi Yan, Xuerui Wang, Fei Ren, et al.
Energy Reports (2022) Vol. 8, pp. 8965-8980
Open Access | Times Cited: 75
Rolling bearing fault diagnosis based on 2D time-frequency images and data augmentation technique
Wenlong Fu, Xiaohui Jiang, Bailin Li, et al.
Measurement Science and Technology (2022) Vol. 34, Iss. 4, pp. 045005-045005
Closed Access | Times Cited: 72
A novel integrated photovoltaic power forecasting model based on variational mode decomposition and CNN-BiGRU considering meteorological variables
Chu Zhang, Peng Tian, Muhammad Shahzad Nazir
Electric Power Systems Research (2022) Vol. 213, pp. 108796-108796
Closed Access | Times Cited: 68
Evolutionary quantile regression gated recurrent unit network based on variational mode decomposition, improved whale optimization algorithm for probabilistic short-term wind speed prediction
Chu Zhang, Chunlei Ji, Lei Hua, et al.
Renewable Energy (2022) Vol. 197, pp. 668-682
Closed Access | Times Cited: 67
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
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
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: 61
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
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
A novel learning approach for short-term photovoltaic power forecasting - A review and case studies
Khaled Ferkous, Mawloud Guermoui, Sarra Menakh, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108502-108502
Closed Access | Times Cited: 20
Wind power forecasting system with data enhancement and algorithm improvement
Yagang Zhang, Xue Kong, Jingchao Wang, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 196, pp. 114349-114349
Closed Access | Times Cited: 16
A hybrid wind speed forecasting model with two-stage data processing based on adaptive neuro-fuzzy inference systems and deep learning algorithms
Zhongda Tian, D. H. Wei
Earth Science Informatics (2025) Vol. 18, Iss. 1
Closed Access | Times Cited: 1
Short term wind speed prediction based on CEESMDAN and improved seagull optimization kernel extreme learning machine
Xiwen Qin, Liping Yuan, Xiaogang Dong, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 1
Closed Access | Times Cited: 1
An evolutionary robust solar radiation prediction model based on WT-CEEMDAN and IASO-optimized outlier robust extreme learning machine
Chu Zhang, Lei Hua, Chunlei Ji, et al.
Applied Energy (2022) Vol. 322, pp. 119518-119518
Closed Access | Times Cited: 63
Sustainable energies and machine learning: An organized review of recent applications and challenges
Pouya Ifaei, Morteza Nazari‐Heris, Amir Saman Tayerani Charmchi, et al.
Energy (2022) Vol. 266, pp. 126432-126432
Closed Access | Times Cited: 46
Artificial intelligence enabled efficient power generation and emissions reduction underpinning net-zero goal from the coal-based power plants
Waqar Muhammad Ashraf, Ghulam Moeen Uddin, Hassan Afroze Ahmad, et al.
Energy Conversion and Management (2022) Vol. 268, pp. 116025-116025
Open Access | Times Cited: 43
An evolutionary deep learning soft sensor model based on random forest feature selection technique for penicillin fermentation process
Lei Hua, Chu Zhang, Wei Sun, et al.
ISA Transactions (2022) Vol. 136, pp. 139-151
Closed Access | Times Cited: 43
Novel economy and carbon emissions prediction model of different countries or regions in the world for energy optimization using improved residual neural network
Yongming Han, Cao Lian, Zhiqiang Geng, et al.
The Science of The Total Environment (2022) Vol. 860, pp. 160410-160410
Closed Access | Times Cited: 43
An integrated framework of gated recurrent unit based on improved sine cosine algorithm for photovoltaic power forecasting
Huixin Ma, Chu Zhang, Peng Tian, et al.
Energy (2022) Vol. 256, pp. 124650-124650
Closed Access | Times Cited: 38
Building energy consumption prediction and optimization using different neural network-assisted models; comparison of different networks and optimization algorithms
Sadegh Afzal, Afshar Shokri, Behrooz M. Ziapour, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107356-107356
Closed Access | Times Cited: 36
A compound framework incorporating improved outlier detection and correction, VMD, weight-based stacked generalization with enhanced DESMA for multi-step short-term wind speed forecasting
Wenlong Fu, Yuchen Fu, Bailing Li, et al.
Applied Energy (2023) Vol. 348, pp. 121587-121587
Closed Access | Times Cited: 31
Page 1 - Next Page

Scroll to top