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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:

A Novel System for Wind Speed Forecasting Based on Multi-Objective Optimization and Echo State Network
Jianzhou Wang, Chunying Wu, Tong Niu
Sustainability (2019) Vol. 11, Iss. 2, pp. 526-526
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

A combined forecasting model for time series: Application to short-term wind speed forecasting
Zhenkun Liu, Ping Jiang, Lifang Zhang, et al.
Applied Energy (2019) Vol. 259, pp. 114137-114137
Closed Access | Times Cited: 258
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 novel hybrid system based on multi-objective optimization for wind speed forecasting
Chunying Wu, Jianzhou Wang, Xuejun Chen, et al.
Renewable Energy (2019) Vol. 146, pp. 149-165
Closed Access | Times Cited: 184
A review on multi-objective optimization framework in wind energy forecasting techniques and applications
Hui Liu, Ye Li, Zhu Duan, et al.
Energy Conversion and Management (2020) Vol. 224, pp. 113324-113324
Closed Access | Times Cited: 156
A novel deep learning ensemble model with data denoising for short-term wind speed forecasting
Zhiyun Peng, Sui Peng, Lidan Fu, et al.
Energy Conversion and Management (2020) Vol. 207, pp. 112524-112524
Closed Access | Times Cited: 143
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: 42
A hybrid framework for carbon trading price forecasting: The role of multiple influence factor
Hao Yan, Tian Cheng-shi
Journal of Cleaner Production (2020) Vol. 262, pp. 120378-120378
Closed Access | Times Cited: 135
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
A novel hybrid model based on combined preprocessing method and advanced optimization algorithm for power load forecasting
Ying Nie, Ping Jiang, Haipeng Zhang
Applied Soft Computing (2020) Vol. 97, pp. 106809-106809
Closed Access | Times Cited: 82
Carbon price forecasting system based on error correction and divide-conquer strategies
Xinsong Niu, Jianzhou Wang, Lifang Zhang
Applied Soft Computing (2021) Vol. 118, pp. 107935-107935
Closed Access | Times Cited: 80
Modes decomposition forecasting approach for ultra-short-term wind speed
Zhongda Tian
Applied Soft Computing (2021) Vol. 105, pp. 107303-107303
Closed Access | Times Cited: 77
Short-term wind speed prediction using Extended Kalman filter and machine learning
Sung‐ho Hur
Energy Reports (2020) Vol. 7, pp. 1046-1054
Open Access | Times Cited: 72
A new combined model based on multi-objective salp swarm optimization for wind speed forecasting
Zishu Cheng, Jiyang Wang
Applied Soft Computing (2020) Vol. 92, pp. 106294-106294
Closed Access | Times Cited: 71
Hybridization of hybrid structures for time series forecasting: a review
Zahra Hajirahimi, Mehdi Khashei
Artificial Intelligence Review (2022) Vol. 56, Iss. 2, pp. 1201-1261
Closed Access | Times Cited: 65
Randomization-based machine learning in renewable energy prediction problems: Critical literature review, new results and perspectives
Javier Del Ser, David Casillas-Pérez, L. Cornejo-Bueno, et al.
Applied Soft Computing (2022) Vol. 118, pp. 108526-108526
Open Access | Times Cited: 50
Multi-objective optimization estimation of state of health for lithium-ion battery based on constant current charging profile
Wenzhen Hu, Chuang Zhang, Suzhen Liu, et al.
Journal of Energy Storage (2024) Vol. 83, pp. 110785-110785
Closed Access | Times Cited: 8
A deterministic and probabilistic hybrid model for wind power forecasting based improved feature screening and optimal Gaussian mixed kernel function
Jujie Wang, Xudong Tang, Weiyi Jiang
Expert Systems with Applications (2024) Vol. 251, pp. 123965-123965
Closed Access | Times Cited: 8
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
A novel non-linear combination system for short-term wind speed forecast
Jianzhou Wang, Shiqi Wang, Wendong Yang
Renewable Energy (2019) Vol. 143, pp. 1172-1192
Closed Access | Times Cited: 60
A novel frequency-domain physics-informed neural network for accurate prediction of 3D Spatio-temporal wind fields in wind turbine applications
Shaopeng Li, Xin Li, Yan Jiang, et al.
Applied Energy (2025) Vol. 386, pp. 125526-125526
Closed Access
Wind Speed Forecasting System Based on the Variational Mode Decomposition Strategy and Immune Selection Multi-Objective Dragonfly Optimization Algorithm
He Bo, Xinsong Niu, Jianzhou Wang
IEEE Access (2019) Vol. 7, pp. 178063-178081
Open Access | Times Cited: 48
Wind Speed Forecasting Using a Two-Stage Forecasting System With an Error Correcting and Nonlinear Ensemble Strategy
Lifang Zhang, Yao Dong, Jianzhou Wang
IEEE Access (2019) Vol. 7, pp. 176000-176023
Open Access | Times Cited: 40
An artificial neural network optimized by grey wolf optimizer for prediction of hourly wind speed in Tamil Nadu, India
Ahmet Cevahir Çınar, N. Natarajan
Intelligent Systems with Applications (2022) Vol. 16, pp. 200138-200138
Open Access | Times Cited: 16
Application of a Hybrid Model Based on Echo State Network and Improved Particle Swarm Optimization in PM2.5 Concentration Forecasting: A Case Study of Beijing, China
Xinghan Xu, Weijie Ren
Sustainability (2019) Vol. 11, Iss. 11, pp. 3096-3096
Open Access | Times Cited: 29
An advanced weighted system based on swarm intelligence optimization for wind speed prediction
Yuanyuan Shao, Jianzhou Wang, Haipeng Zhang, et al.
Applied Mathematical Modelling (2021) Vol. 100, pp. 780-804
Closed Access | Times Cited: 22
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