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:

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 51-75 of 125 citing articles:

A new distributed decomposition–reconstruction–ensemble learning paradigm for short-term wind power prediction
Xixuan Zhao, Bingzhen Sun, Ruibin Geng
Journal of Cleaner Production (2023) Vol. 423, pp. 138676-138676
Closed Access | Times Cited: 12

An intelligent online fault diagnosis system for gas turbine sensors based on unsupervised learning method LOF and KELM
Kanru Cheng, Yuzhang Wang, Xilian Yang, et al.
Sensors and Actuators A Physical (2023) Vol. 365, pp. 114872-114872
Closed Access | Times Cited: 12

Review of AI-Based Wind Prediction within Recent Three Years: 2021–2023
Dongran Song, Xiao Tan, Qian Huang, et al.
Energies (2024) Vol. 17, Iss. 6, pp. 1270-1270
Open Access | Times Cited: 4

A novel IBAS-ELM model for prediction of water levels in front of pumping stations
Peiru Yan, Zhao Zhang, Qingzhi Hou, et al.
Journal of Hydrology (2022) Vol. 616, pp. 128810-128810
Closed Access | Times Cited: 19

Soil salinity prediction using hybrid machine learning and remote sensing in Ben Tre province on Vietnam’s Mekong River Delta
Huu Duy Nguyen, Chien Pham Van, Tien Giang Nguyen, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 29, pp. 74340-74357
Closed Access | Times Cited: 11

A novel spatio-temporal wind speed forecasting method based on the microscale meteorological model and a hybrid deep learning model
Dongqin Zhang, Gang Hu, Jie Song, et al.
Energy (2023) Vol. 288, pp. 129823-129823
Closed Access | Times Cited: 11

Hybrid forecasting system considering the influence of seasonal factors under energy sustainable development goals
Guomin Li, Zhiya Pan, Zihan Qi, et al.
Measurement (2023) Vol. 211, pp. 112607-112607
Closed Access | Times Cited: 10

Hybrid intelligent deep learning model for solar radiation forecasting using optimal variational mode decomposition and evolutionary deep belief network - Online sequential extreme learning machine
Peng Tian, Yiman Li, Zhi-zhen Song, et al.
Journal of Building Engineering (2023) Vol. 76, pp. 107227-107227
Closed Access | Times Cited: 10

Multi-Step Short-Term Wind Power Prediction Model Based on CEEMD and Improved Snake Optimization Algorithm
Mengling Zhao, Xuan Zhou
IEEE Access (2024) Vol. 12, pp. 50755-50778
Open Access | Times Cited: 3

A novel hybrid model based on multiple influencing factors and temporal convolutional network coupling ReOSELM for wind power prediction
Yida Ge, Chu Zhang, Yiwei Wang, et al.
Energy Conversion and Management (2024) Vol. 313, pp. 118632-118632
Closed Access | Times Cited: 3

A novel chaotic time series wind power point and interval prediction method based on data denoising strategy and improved coati optimization algorithm
Chao Wang, Lin Hon, Ming Yang, et al.
Chaos Solitons & Fractals (2024) Vol. 187, pp. 115442-115442
Closed Access | Times Cited: 3

Distribution drift-adaptive short-term wind speed forecasting
Xuguang Wang, Xiao Li, Jie Su
Energy (2023) Vol. 273, pp. 127209-127209
Open Access | Times Cited: 9

Towards a digital twin approach – Experimental analysis and energy optimization of a multi-bed adsorption system
W.D. Chen, Hany M. Hasanien, K.J. Chua
Energy Conversion and Management (2022) Vol. 271, pp. 116346-116346
Closed Access | Times Cited: 15

Statistical wind speed forecasting models for small sample datasets: Problems, Improvements, and prospects
Muhammad Uzair Yousuf, Ibrahim Al‐Bahadly, Ebubekir Avci
Energy Conversion and Management (2022) Vol. 261, pp. 115658-115658
Closed Access | Times Cited: 14

A novel interpretability machine learning model for wind speed forecasting based on feature and sub-model selection
Zhihao Shang, Yanhua Chen, Daokai Lai, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124560-124560
Closed Access | Times Cited: 2

A novel fuzzification-forecasting-optimization ensemble system for wind speed based on fuzzy theory and a multiobjective optimizer
Yang Zhao, Jianzhou Wang, Tong Niu, et al.
Applied Intelligence (2024) Vol. 54, Iss. 23, pp. 12037-12066
Closed Access | Times Cited: 2

Fault diagnosis of complex hydraulic system based on fast Mahalanobis classification system with high-dimensional imbalanced data
Ting Mao, Wenhe Chen, Liqun Fu, et al.
Measurement (2023) Vol. 214, pp. 112773-112773
Closed Access | Times Cited: 7

An evolutionary robust soft measurement technique via enhanced atom search optimization and outlier robust extreme learning machine for wastewater treatment process
Jinlin Xiong, Zihan Tao, Lei Hua, et al.
Journal of Water Process Engineering (2023) Vol. 55, pp. 104102-104102
Closed Access | Times Cited: 7

Hybrid framework of deep extreme learning machine (DELM) based on sparrow search algorithm for non-stationary wave prediction
Zuohang Su, Hailong Chen, Can Yang
Ocean Engineering (2024) Vol. 311, pp. 118993-118993
Closed Access | Times Cited: 2

A Robust Economic Framework for Integrated Energy Systems Based on Hybrid Shuffled Frog-Leaping and Local Search Algorithm
Ahmed N. Abdalla, Yongfeng Ju, Muhammad Shahzad Nazir, et al.
Sustainability (2022) Vol. 14, Iss. 17, pp. 10660-10660
Open Access | Times Cited: 11

A combined model based on secondary decomposition technique and grey wolf optimizer for short-term wind power forecasting
Zhongde Su, Bowen Zheng, Huacai Lu
Frontiers in Energy Research (2023) Vol. 11
Open Access | Times Cited: 6

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