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:

Research and application of a combined model based on variable weight for short term wind speed forecasting
Hongmin Li, Jianzhou Wang, Haiyan Lu, et al.
Renewable Energy (2017) Vol. 116, pp. 669-684
Open Access | Times Cited: 140

Showing 1-25 of 140 citing articles:

A new hybrid model for wind speed forecasting combining long short-term memory neural network, decomposition methods and grey wolf optimizer
Aytaç Altan, Seçkin Karasu, Enrico Zio
Applied Soft Computing (2020) Vol. 100, pp. 106996-106996
Open Access | Times Cited: 514
A review and discussion of decomposition-based hybrid models for wind energy forecasting applications
Zheng Qian, Yan Pei, Hamidreza Zareipour, et al.
Applied Energy (2018) Vol. 235, pp. 939-953
Closed Access | Times Cited: 329
Deterministic wind energy forecasting: A review of intelligent predictors and auxiliary methods
Hui Liu, Chao Chen, Xinwei Lv, et al.
Energy Conversion and Management (2019) Vol. 195, pp. 328-345
Closed Access | Times Cited: 250
A combined model based on data preprocessing strategy and multi-objective optimization algorithm for short-term wind speed forecasting
Xinsong Niu, Jiyang Wang
Applied Energy (2019) Vol. 241, pp. 519-539
Closed Access | Times Cited: 192
A combined forecasting system based on statistical method, artificial neural networks, and deep learning methods for short-term wind speed forecasting
Ping Jiang, Zhenkun Liu, Xinsong Niu, et al.
Energy (2020) Vol. 217, pp. 119361-119361
Closed Access | Times Cited: 191
Hybrid machine intelligent SVR variants for wind forecasting and ramp events
Harsh S. Dhiman, Dipankar Deb, Josep M. Guerrero
Renewable and Sustainable Energy Reviews (2019) Vol. 108, pp. 369-379
Open Access | Times Cited: 164
Hybrid wind energy forecasting and analysis system based on divide and conquer scheme: A case study in China
Wendong Yang, Jianzhou Wang, Haiyan Lu, et al.
Journal of Cleaner Production (2019) Vol. 222, pp. 942-959
Open Access | Times Cited: 149
New developments in wind energy forecasting with artificial intelligence and big data: a scientometric insight
Erlong Zhao, Shaolong Sun, Shouyang Wang
Data Science and Management (2022) Vol. 5, Iss. 2, pp. 84-95
Open Access | Times Cited: 118
A novel ensemble system for short-term wind speed forecasting based on Two-stage Attention-Based Recurrent Neural Network
Ziyuan Zhang, Jianzhou Wang, Danxiang Wei, et al.
Renewable Energy (2023) Vol. 204, pp. 11-23
Closed Access | Times Cited: 58
Novel wind speed forecasting model based on a deep learning combined strategy in urban energy systems
Hao Yan, Wendong Yang, Kedong Yin
Expert Systems with Applications (2023) Vol. 219, pp. 119636-119636
Closed Access | Times Cited: 41
Decomposition-based wind speed forecasting model using causal convolutional network and attention mechanism
Zhihao Shang, Yao Chen, Yanhua Chen, et al.
Expert Systems with Applications (2023) Vol. 223, pp. 119878-119878
Closed Access | Times Cited: 40
Multi-step wind speed forecasting using EWT decomposition, LSTM principal computing, RELM subordinate computing and IEWT reconstruction
Yanfei Li, Haiping Wu, Hui Liu
Energy Conversion and Management (2018) Vol. 167, pp. 203-219
Closed Access | Times Cited: 159
An improved grey model optimized by multi-objective ant lion optimization algorithm for annual electricity consumption forecasting
Jianzhou Wang, Pei Du, Haiyan Lu, et al.
Applied Soft Computing (2018) Vol. 72, pp. 321-337
Closed Access | Times Cited: 149
Wind Power Prediction Based on LSTM Networks and Nonparametric Kernel Density Estimation
Bowen Zhou, Xiangjin Ma, Yanhong Luo, et al.
IEEE Access (2019) Vol. 7, pp. 165279-165292
Open Access | Times Cited: 142
Time-serial analysis of deep neural network models for prediction of climatic conditions inside a greenhouse
Dae-Hyun Jung, Hyoung Seok Kim, Changho Jhin, et al.
Computers and Electronics in Agriculture (2020) Vol. 173, pp. 105402-105402
Closed Access | Times Cited: 134
Novel analysis–forecast system based on multi-objective optimization for air quality index
Hongmin Li, Jianzhou Wang, Ranran Li, et al.
Journal of Cleaner Production (2018) Vol. 208, pp. 1365-1383
Open Access | Times Cited: 126
Multistep forecasting for diurnal wind speed based on hybrid deep learning model with improved singular spectrum decomposition
Xiaoan Yan, Ying Liu, Yadong Xu, et al.
Energy Conversion and Management (2020) Vol. 225, pp. 113456-113456
Closed Access | Times Cited: 112
Smart wind speed forecasting using EWT decomposition, GWO evolutionary optimization, RELM learning and IEWT reconstruction
Hui Liu, Haiping Wu, Yanfei Li
Energy Conversion and Management (2018) Vol. 161, pp. 266-283
Closed Access | Times Cited: 109
Hybrid forecasting system based on an optimal model selection strategy for different wind speed forecasting problems
Qingguo Zhou, Chen Wang, Gaofeng Zhang
Applied Energy (2019) Vol. 250, pp. 1559-1580
Closed Access | Times Cited: 100
Multi-objective data-ensemble wind speed forecasting model with stacked sparse autoencoder and adaptive decomposition-based error correction
Hui Liu, Chao Chen
Applied Energy (2019) Vol. 254, pp. 113686-113686
Closed Access | Times Cited: 99
Variable weights combined model based on multi-objective optimization for short-term wind speed forecasting
Ping Jiang, Zhenkun Liu
Applied Soft Computing (2019) Vol. 82, pp. 105587-105587
Closed Access | Times Cited: 98
Evaluating urban ecological civilization and its obstacle factors based on integrated model of PSR-EVW-TOPSIS: A case study of 13 cities in Jiangsu Province, China
Di Wang, Yuman Li, Xiaodi Yang, et al.
Ecological Indicators (2021) Vol. 133, pp. 108431-108431
Open Access | Times Cited: 94
A novel combined model for wind speed prediction – Combination of linear model, shallow neural networks, and deep learning approaches
Shuai Wang, Jianzhou Wang, Haiyan Lu, et al.
Energy (2021) Vol. 234, pp. 121275-121275
Closed Access | Times Cited: 93
An adaptive hybrid model for short term wind speed forecasting
Jinliang Zhang, Yi‐Ming Wei, Zhongfu Tan
Energy (2019) Vol. 190, pp. 115615-115615
Closed Access | Times Cited: 86
State-of-the-art one-stop handbook on wind forecasting technologies: An overview of classifications, methodologies, and analysis
Bo Yang, Linen Zhong, Jingbo Wang, et al.
Journal of Cleaner Production (2020) Vol. 283, pp. 124628-124628
Closed Access | Times Cited: 86
Page 1 - Next Page

Scroll to top