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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:

Prediction of offshore wind farm power using a novel two-stage model combining kernel-based nonlinear extension of the Arps decline model with a multi-objective grey wolf optimizer
Hongfang Lü, Xin Ma, Kun Huang, et al.
Renewable and Sustainable Energy Reviews (2020) Vol. 127, pp. 109856-109856
Closed Access | Times Cited: 61

Showing 1-25 of 61 citing articles:

Recent Advances in Grey Wolf Optimizer, its Versions and Applications: Review
Sharif Naser Makhadmeh, Mohammed Azmi Al‐Betar, Iyad Abu Doush, et al.
IEEE Access (2023) Vol. 12, pp. 22991-23028
Open Access | Times Cited: 53
Carbon dioxide transport via pipelines: A systematic review
Hongfang Lü, Xin Ma, Kun Huang, et al.
Journal of Cleaner Production (2020) Vol. 266, pp. 121994-121994
Closed Access | Times Cited: 125
Short-term prediction of building energy consumption employing an improved extreme gradient boosting model: A case study of an intake tower
Hongfang Lü, Fei-Fei Cheng, Xin Ma, et al.
Energy (2020) Vol. 203, pp. 117756-117756
Closed Access | Times Cited: 109
A hybrid multi-objective optimizer-based model for daily electricity demand prediction considering COVID-19
Hongfang Lü, Xin Ma, Minda Ma
Energy (2020) Vol. 219, pp. 119568-119568
Open Access | Times Cited: 74
A novel elastic net-based NGBMC(1,n) model with multi-objective optimization for nonlinear time series forecasting
Lang Yu, Xin Ma, Wenqing Wu, et al.
Communications in Nonlinear Science and Numerical Simulation (2021) Vol. 96, pp. 105696-105696
Closed Access | Times Cited: 59
A Novel Deep Learning Approach to Predict the Instantaneous NOₓ Emissions From Diesel Engine
Yang Yu, Yanyan Wang, Jiaqiang Li, et al.
IEEE Access (2021) Vol. 9, pp. 11002-11013
Open Access | Times Cited: 57
Python-LMDI: A Tool for Index Decomposition Analysis of Building Carbon Emissions
Xiwang Xiang, Xin Ma, Zhili Ma, et al.
Buildings (2022) Vol. 12, Iss. 1, pp. 83-83
Open Access | Times Cited: 54
Recent advances in multi-objective grey wolf optimizer, its versions and applications
Sharif Naser Makhadmeh, Osama Ahmad Alomari, Seyedali Mirjalili, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 22, pp. 19723-19749
Closed Access | Times Cited: 48
An overview of deterministic and probabilistic forecasting methods of wind energy
Yuying Xie, Chaoshun Li, Mengying Li, et al.
iScience (2022) Vol. 26, Iss. 1, pp. 105804-105804
Open Access | Times Cited: 42
A hybrid photovoltaic/wind power prediction model based on Time2Vec, WDCNN and BiLSTM
Donghan Geng, Bo Wang, Qi Gao
Energy Conversion and Management (2023) Vol. 291, pp. 117342-117342
Closed Access | Times Cited: 39
Review of Key Technologies for Offshore Floating Wind Power Generation
Bowen Zhou, Zhibo Zhang, Guangdi Li, et al.
Energies (2023) Vol. 16, Iss. 2, pp. 710-710
Open Access | Times Cited: 37
Onshore and offshore wind power generation forecasting using a novel flexible time-varying fractional nonlinear grey model
Xuemei Li, Shiwei Zhou, Yufeng Zhao
Energy Conversion and Management (2023) Vol. 297, pp. 117695-117695
Closed Access | Times Cited: 22
An ensemble model based on relevance vector machine and multi-objective salp swarm algorithm for predicting burst pressure of corroded pipelines
Hongfang Lü, Tom Iseley, John C. Matthews, et al.
Journal of Petroleum Science and Engineering (2021) Vol. 203, pp. 108585-108585
Closed Access | Times Cited: 47
Distributed multi-objective grey wolf optimizer for distributed multi-objective economic dispatch of multi-area interconnected power systems
Linfei Yin, Zhixiang Sun
Applied Soft Computing (2021) Vol. 117, pp. 108345-108345
Closed Access | Times Cited: 43
Deeppipe: Theory-guided neural network method for predicting burst pressure of corroded pipelines
Yunlu Ma, Jianqin Zheng, Yongtu Liang, et al.
Process Safety and Environmental Protection (2022) Vol. 162, pp. 595-609
Closed Access | Times Cited: 32
A multi-step probability density prediction model based on gaussian approximation of quantiles for offshore wind power
Wanying Zhang, Yaoyao He, Shanlin Yang
Renewable Energy (2022) Vol. 202, pp. 992-1011
Closed Access | Times Cited: 29
Prediction of gas explosion pressures: A machine learning algorithm based on KPCA and an optimized LSSVM
Kai Zhang, Ke Zhang, Rui Bao
Journal of Loss Prevention in the Process Industries (2023) Vol. 83, pp. 105082-105082
Closed Access | Times Cited: 19
Time-varying interval prediction and decision-making for short-term wind power using convolutional gated recurrent unit and multi-objective elephant clan optimization
Qiannan Zhu, Feng Jiang, Chaoshun Li
Energy (2023) Vol. 271, pp. 127006-127006
Closed Access | Times Cited: 17
Deeppipe: A two-stage physics-informed neural network for predicting mixed oil concentration distribution
Jian Du, Jianqin Zheng, Yongtu Liang, et al.
Energy (2023) Vol. 276, pp. 127452-127452
Closed Access | Times Cited: 16
Comparison of four bio-inspired algorithms to optimize KNEA for predicting monthly reference evapotranspiration in different climate zones of China
Jianhua Dong, Xiaogang Liu, Guomin Huang, et al.
Computers and Electronics in Agriculture (2021) Vol. 186, pp. 106211-106211
Closed Access | Times Cited: 35
Machine Learning Approaches to Predict Electricity Production from Renewable Energy Sources
Adam Krechowicz, Maria Krechowicz, Katarzyna Poczęta
Energies (2022) Vol. 15, Iss. 23, pp. 9146-9146
Open Access | Times Cited: 26
Renewable-based microgrids’ energy management using smart deep learning techniques: Realistic digital twin case
Qinghui Li, Zhigao Cui, Yanping Cai, et al.
Solar Energy (2022) Vol. 250, pp. 128-138
Closed Access | Times Cited: 26
Hybrid physical and data driven modeling for dynamic operation characteristic simulation of wind turbine
Jie Yan, Akejiang Nuertayi, Yamin Yan, et al.
Renewable Energy (2023) Vol. 215, pp. 118958-118958
Closed Access | Times Cited: 13
Interpretable multi-graph convolution network integrating spatial-temporal attention and dynamic combination for wind power forecasting
Yongning Zhao, Haohan Liao, Shiji Pan, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124766-124766
Closed Access | Times Cited: 5
A novel adaptively combined model based on induced ordered weighted averaging for wind power forecasting
Peng Lu, Jianbin Yang, Lin Ye, et al.
Renewable Energy (2024) Vol. 226, pp. 120350-120350
Closed Access | Times Cited: 4
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