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 76-100 of 125 citing articles:

Wind Speed Prediction Based on Error Compensation
Xuguo Jiao, Daoyuan Zhang, Xin Wang, et al.
Sensors (2023) Vol. 23, Iss. 10, pp. 4905-4905
Open Access | Times Cited: 6
A Short-Term Wind Power Forecasting Model Based on 3D Convolutional Neural Network–Gated Recurrent Unit
Xiaoshuang Huang, Yinbao Zhang, Jianzhong Liu, et al.
Sustainability (2023) Vol. 15, Iss. 19, pp. 14171-14171
Open Access | Times Cited: 6
Quantitative structure–activity relationship models for predicting apparent rate constants of organic compounds with ferrate (VI)
Xiaochen Qi, Na Liu, Zhongen Tang, et al.
The Science of The Total Environment (2023) Vol. 871, pp. 162043-162043
Closed Access | Times Cited: 5
Raman spectroscopy coupled with metaheuristics-based variable selection models: A method for rapid determination of extra virgin olive oil content in vegetable blend oils
Jiaji Zhu, Yawen Rong, Xin Jiang, et al.
Journal of Food Composition and Analysis (2023) Vol. 123, pp. 105503-105503
Closed Access | Times Cited: 5
Short-Term Wind Forecasting with Weather Data using Deep Learning - Case Study in Baron Techno Park
Hafsah Halidah, Nurry Widya Hesty, Prasetyo Aji, et al.
Evergreen (2023) Vol. 10, Iss. 3, pp. 1753-1761
Open Access | Times Cited: 5
Short-term prediction of the significant wave height and average wave period based on the variational mode decomposition–temporal convolutional network–long short-term memory (VMD–TCN–LSTM) algorithm
Qiyan Ji, Lei Han, Lifang Jiang, et al.
Ocean science (2023) Vol. 19, Iss. 6, pp. 1561-1578
Open Access | Times Cited: 5
A double‐layer neural network wind speed prediction framework based on training set segmentation and error correction
Mingde Liu, Mingbo Liu, Siyi Zhang, et al.
IET Renewable Power Generation (2024) Vol. 18, Iss. 4, pp. 571-588
Open Access | Times Cited: 1
A Novel Wind Power Prediction Model That Considers Multi-Scale Variable Relationships and Temporal Dependencies
Zhanyang Xu, Hong Zhao, Chengxi Xu, et al.
Electronics (2024) Vol. 13, Iss. 18, pp. 3710-3710
Open Access | Times Cited: 1
A Hybrid Multivariate Multistep Wind-Speed Forecasting Model Based on a Deep-Learning Neural Network
D. H. Wei, Zhongda Tian
Journal of Energy Engineering (2024) Vol. 150, Iss. 6
Closed Access | Times Cited: 1
Wind Speed Prediction Model Based on Improved VMD and Sudden Change of Wind Speed
Shijun Wang, Chun Liu, Kui Liang, et al.
Sustainability (2022) Vol. 14, Iss. 14, pp. 8705-8705
Open Access | Times Cited: 8
Ultra-short-term wind speed prediction based on empirical wavelet transform and combined model
Maosen Wang, Zhongda Tian
Earth Science Informatics (2023) Vol. 17, Iss. 1, pp. 539-560
Closed Access | Times Cited: 4
Hybrid Photovoltaic Output Forecasting Model with Temporal Convolutional Network Using Maximal Information Coefficient and White Shark Optimizer
Xilong Lin, Yisen Niu, Zixuan Yan, et al.
Sustainability (2024) Vol. 16, Iss. 14, pp. 6102-6102
Open Access | Times Cited: 1
SSG-Net: A Multi-Branch Fault Diagnosis Method for Scroll Compressors Using Swin Transformer Sliding Window, Shallow ResNet, and Global Attention Mechanism (GAM)
Zhiwei Xu, Tao Liu, Zezhou Xia, et al.
Sensors (2024) Vol. 24, Iss. 19, pp. 6237-6237
Open Access | Times Cited: 1
Improved chimpanzee algorithm based on CEEMDAN combination to optimize ELM short-term wind speed prediction
Wei Sun, Xuan Wang
Environmental Science and Pollution Research (2022) Vol. 30, Iss. 12, pp. 35115-35126
Closed Access | Times Cited: 7
Integrated reactive power optimization for distribution systems considering electric vehicle dis-/charging support
Junbin Chen, Guoyue Bei, Zhang Qiang-zhong, et al.
Energy Reports (2023) Vol. 9, pp. 1888-1896
Open Access | Times Cited: 3
ELM parameter estimation in view of maximum likelihood
Lanzhen Yang, Eric C.C. Tsang, Xizhao Wang, et al.
Neurocomputing (2023) Vol. 557, pp. 126704-126704
Closed Access | Times Cited: 3
Modeling the magnetocaloric effect of spinel ferrites for magnetic refrigeration technology using extreme learning machine and genetically hybridized support vector regression computational methods
Wasiu Adeyemi Oke, Nahier Aldhafferi, Saibu Saliu, et al.
Cogent Engineering (2023) Vol. 10, Iss. 2
Open Access | Times Cited: 3
Coal and Gas Outburst Risk Prediction and Management Based on WOA-ELM
Dejun Miao, Jiaqi Ji, Xiujie Chen, et al.
Applied Sciences (2022) Vol. 12, Iss. 21, pp. 10967-10967
Open Access | Times Cited: 5
Short-Term Wind Power Prediction Combining a Data Cleaning Method Using a Fusion Model and a Novel Multi-Task Learning Framework
Wentao Ma, Jiahui Dai, Lihong Qiu, et al.
(2024)
Closed Access
A Multi-Scale Component Feature Learning Framework Based on Cnn-Bigru and Online Sequential Regularized Extreme Learning Machine for Wind Speed Prediction
Xuedong Zhang, Huanyu Zhao, Zheng Wang, et al.
(2024)
Closed Access
Improved monthly runoff time series prediction by integrating ICCEMDAN and SWD with ELM
Huifang Wang, Xuehua Zhao, Qiucen Guo, et al.
Research Square (Research Square) (2024)
Closed Access
A novel combined model based on advanced optimization algorithm, and deep learning model for abnormal wind speed identification and reconstruction
Anfeng Zhu, Qiancheng Zhao, Zhaoyao Shi, et al.
Energy (2024), pp. 133510-133510
Closed Access
A two-stage deep learning-based hybrid model for daily wind speed forecasting
Shahab S. Band, Rasoul Ameri, Sultan Noman Qasem, et al.
Heliyon (2024) Vol. 11, Iss. 1, pp. e41026-e41026
Open Access
Extreme learning machine computational method of modeling energy gap of doped zinc selenide nano-material semiconductor
Nahier Aldhafferi
Materials Today Communications (2022) Vol. 31, pp. 103626-103626
Closed Access | Times Cited: 3
Statistical Analysis of Four Artificial Intelligence Algorithms for Multi-Step Short-Term Wind Speed Forecasting in Four Indian Cities
Soumyabrata Bhattacharjee, Gaurav Kumar Gugliani
Lecture notes in mechanical engineering (2024), pp. 75-95
Closed Access

Scroll to top